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β-secretase inhibitors and their preparation and use for the treatment of diseases by: Trabanco-Suarez, Andres Avelino; Tresadern, Gary John; Delgado-Jimenez, Francisca^?World Intellectual Property Organization, WO2012038438 A1 2012-03-29 | Language: English, Database: CAplus + +> (16) +lig_06 + +> (16) +-0.1235415122161309 -0.087366916860143348 -0.11141990932325523 -0.23489524486164251 -0.0918347096691529 -0.10341146650413673 -0.10341146650413673 -0.11812717529634635 0.3299799555291732 +-0.032306057090560593 -0.014534120137492815 -0.12638892295459905 0.042418509100874267 0.042418509100874267 -0.11559166076282661 0.42550355133910972 -0.035416510577003159 0.2093922191609939 +-0.11064486267666022 -0.46351593794922036 0.072893440102537468 -0.34898954691986245 -0.47939556899170083 -0.082309865082303688 -0.082309865082303688 0.15575215158363184 0.14894379613300165 +0.1408604079236587 0.17387884793182215 0.14980167088409266 0.15859524843593439 0.15859524843593439 0.16922251818080744 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17.5781 H 0 0 0 0 0 0 0 0 0 0 0 0 + -33.2326 -44.0649 15.7136 H 0 0 0 0 0 0 0 0 0 0 0 0 + -39.0846 -44.8594 15.8793 H 0 0 0 0 0 0 0 0 0 0 0 0 + -41.3151 -45.1774 16.8279 H 0 0 0 0 0 0 0 0 0 0 0 0 + -35.6446 -46.1977 18.5425 H 0 0 0 0 0 0 0 0 0 0 0 0 + -37.3767 -45.1829 19.8192 H 0 0 0 0 0 0 0 0 0 0 0 0 + -35.3216 -42.9701 14.8835 H 0 0 0 0 0 0 0 0 0 0 0 0 + -41.2830 -45.8704 22.6252 H 0 0 0 0 0 0 0 0 0 0 0 0 + -41.4515 -44.3711 21.7241 H 0 0 0 0 0 0 0 0 0 0 0 0 + -44.2483 -46.1902 20.2729 H 0 0 0 0 0 0 0 0 0 0 0 0 + -43.7158 -44.6876 21.0018 H 0 0 0 0 0 0 0 0 0 0 0 0 + -43.7926 -46.1628 21.9919 H 0 0 0 0 0 0 0 0 0 0 0 0 + -42.6909 -48.0552 19.8797 H 0 0 0 0 0 0 0 0 0 0 0 0 + -42.0619 -48.0718 21.5404 H 0 0 0 0 0 0 0 0 0 0 0 0 + -40.9725 -47.9242 20.1444 H 0 0 0 0 0 0 0 0 0 0 0 0 + -37.3730 -43.6990 24.2373 H 0 0 0 0 0 0 0 0 0 0 0 0 + -36.1567 -44.9674 23.9434 H 0 0 0 0 0 0 0 0 0 0 0 0 + -36.3255 -43.6246 22.7896 H 0 0 0 0 0 0 0 0 0 0 0 0 + -39.2564 -47.6658 21.4559 H 0 0 0 0 0 0 0 0 0 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0.70055627413903887 0.48263132163201983 -0.11058447173918071 0.067200224482170917 0.18152233549272237 -0.11062539032781901 -0.11062539032781901 +0.053826991104237408 -0.65043092182958906 -0.42453009299124067 -0.40579355172003095 -0.47590816429937666 -0.45984420589292829 -0.32098704985464399 0.14327594228898702 0.15019799359952626 +0.14514892884408651 0.16679718681489644 0.15555485674058614 0.13223166354810414 0.027830237158290718 0.089686285339943744 0.089686285339943744 0.058868813895336956 0.058868813895336956 +0.058868813895336956 0.058868813895336956 0.058868813895336956 0.058868813895336956 0.082591738187424518 0.082591738187424518 0.082591738187424518 0.33651199527894671 0.32671993561898882 +0.32671993561898882 + +> (18) +{"openfe_version": "1.8.0", "openff_toolkit_version": "0.18.0", "rdkit_version": "2025.09.4", "charge_method": "nagl_off", "nagl_version": "0.5.4", "nagl_model": "openff-gnn-am1bcc-1.0.0.pt"} + +$$$$ diff --git a/mixed_networks/inputs/protein.pdb b/mixed_networks/inputs/protein.pdb new file mode 100644 index 0000000..9a9ff3b --- /dev/null +++ b/mixed_networks/inputs/protein.pdb @@ -0,0 +1,6064 @@ +REMARK 1 CREATED WITH OPENMM 8.2, 2026-10-27 +HETATM 1 C ACE A 1 -25.006 -74.654 28.933 1.00 0.00 C +HETATM 2 O ACE A 1 -26.174 -74.741 29.237 1.00 0.00 O +HETATM 3 CH3 ACE A 1 -24.203 -75.902 28.655 1.00 0.00 C +HETATM 4 H1 ACE A 1 -24.845 -76.787 28.778 1.00 0.00 H +HETATM 5 H2 ACE A 1 -23.819 -75.869 27.625 1.00 0.00 H +HETATM 6 H3 ACE A 1 -23.360 -75.961 29.359 1.00 0.00 H +ATOM 7 N THR A 2 -24.429 -73.459 28.843 1.00 0.00 N +ATOM 8 CA THR A 2 -25.094 -72.181 29.086 1.00 0.00 C +ATOM 9 C THR A 2 -24.875 -71.228 27.913 1.00 0.00 C +ATOM 10 O THR A 2 -25.648 -70.293 27.711 1.00 0.00 O +ATOM 11 CB THR A 2 -24.597 -71.525 30.391 1.00 0.00 C +ATOM 12 OG1 THR A 2 -23.171 -71.382 30.346 1.00 0.00 O +ATOM 13 CG2 THR A 2 -24.977 -72.388 31.590 1.00 0.00 C +ATOM 14 H THR A 2 -23.462 -73.433 28.589 1.00 0.00 H +ATOM 15 HA THR A 2 -26.175 -72.355 29.186 1.00 0.00 H +ATOM 16 HB THR A 2 -25.074 -70.539 30.495 1.00 0.00 H +ATOM 17 HG1 THR A 2 -22.935 -70.488 30.566 1.00 0.00 H +ATOM 18 HG21 THR A 2 -24.618 -71.911 32.514 1.00 0.00 H +ATOM 19 HG22 THR A 2 -26.071 -72.494 31.633 1.00 0.00 H +ATOM 20 HG23 THR A 2 -24.516 -73.382 31.487 1.00 0.00 H +ATOM 21 N THR A 3 -23.817 -71.467 27.141 1.00 0.00 N +ATOM 22 CA THR A 3 -23.558 -70.739 25.906 1.00 0.00 C +ATOM 23 C THR A 3 -23.330 -71.747 24.787 1.00 0.00 C +ATOM 24 O THR A 3 -23.306 -72.961 25.007 1.00 0.00 O +ATOM 25 CB THR A 3 -22.353 -69.798 26.043 1.00 0.00 C +ATOM 26 OG1 THR A 3 -21.157 -70.573 26.197 1.00 0.00 O +ATOM 27 CG2 THR A 3 -22.515 -68.880 27.249 1.00 0.00 C +ATOM 28 H THR A 3 -23.172 -72.178 27.421 1.00 0.00 H +ATOM 29 HA THR A 3 -24.440 -70.133 25.652 1.00 0.00 H +ATOM 30 HB THR A 3 -22.286 -69.180 25.135 1.00 0.00 H +ATOM 31 HG1 THR A 3 -21.385 -71.467 26.422 1.00 0.00 H +ATOM 32 HG21 THR A 3 -21.641 -68.217 27.326 1.00 0.00 H +ATOM 33 HG22 THR A 3 -23.425 -68.274 27.129 1.00 0.00 H +ATOM 34 HG23 THR A 3 -22.596 -69.487 28.163 1.00 0.00 H +ATOM 35 N GLY A 4 -23.166 -71.240 23.572 1.00 0.00 N +ATOM 36 CA GLY A 4 -22.945 -72.134 22.447 1.00 0.00 C +ATOM 37 C GLY A 4 -22.972 -71.402 21.124 1.00 0.00 C +ATOM 38 O GLY A 4 -22.606 -70.224 21.036 1.00 0.00 O +ATOM 39 H GLY A 4 -23.194 -70.250 23.431 1.00 0.00 H +ATOM 40 HA2 GLY A 4 -21.964 -72.617 22.565 1.00 0.00 H +ATOM 41 HA3 GLY A 4 -23.733 -72.901 22.444 1.00 0.00 H +ATOM 42 N SER A 5 -23.406 -72.124 20.093 1.00 0.00 N +ATOM 43 CA SER A 5 -23.430 -71.623 18.726 1.00 0.00 C +ATOM 44 C SER A 5 -24.873 -71.472 18.272 1.00 0.00 C +ATOM 45 O SER A 5 -25.628 -72.450 18.257 1.00 0.00 O +ATOM 46 CB SER A 5 -22.675 -72.560 17.785 1.00 0.00 C +ATOM 47 OG SER A 5 -22.613 -72.012 16.484 1.00 0.00 O +ATOM 48 H SER A 5 -23.731 -73.054 20.265 1.00 0.00 H +ATOM 49 HA SER A 5 -22.948 -70.635 18.692 1.00 0.00 H +ATOM 50 HB2 SER A 5 -21.653 -72.707 18.164 1.00 0.00 H +ATOM 51 HB3 SER A 5 -23.195 -73.529 17.745 1.00 0.00 H +ATOM 52 HG SER A 5 -23.490 -71.953 16.123 1.00 0.00 H +ATOM 53 N PHE A 6 -25.250 -70.252 17.902 1.00 0.00 N +ATOM 54 CA PHE A 6 -26.577 -69.994 17.361 1.00 0.00 C +ATOM 55 C PHE A 6 -26.422 -69.411 15.968 1.00 0.00 C +ATOM 56 O PHE A 6 -26.699 -68.232 15.732 1.00 0.00 O +ATOM 57 CB PHE A 6 -27.363 -69.067 18.288 1.00 0.00 C +ATOM 58 CG PHE A 6 -27.640 -69.667 19.635 1.00 0.00 C +ATOM 59 CD1 PHE A 6 -26.680 -69.636 20.636 1.00 0.00 C +ATOM 60 CD2 PHE A 6 -28.856 -70.277 19.897 1.00 0.00 C +ATOM 61 CE1 PHE A 6 -26.933 -70.198 21.876 1.00 0.00 C +ATOM 62 CE2 PHE A 6 -29.113 -70.836 21.135 1.00 0.00 C +ATOM 63 CZ PHE A 6 -28.150 -70.797 22.123 1.00 0.00 C +ATOM 64 H PHE A 6 -24.606 -69.493 17.998 1.00 0.00 H +ATOM 65 HA PHE A 6 -27.125 -70.944 17.280 1.00 0.00 H +ATOM 66 HB2 PHE A 6 -26.784 -68.143 18.430 1.00 0.00 H +ATOM 67 HB3 PHE A 6 -28.324 -68.827 17.809 1.00 0.00 H +ATOM 68 HD1 PHE A 6 -25.725 -69.169 20.446 1.00 0.00 H +ATOM 69 HD2 PHE A 6 -29.611 -70.316 19.126 1.00 0.00 H +ATOM 70 HE1 PHE A 6 -26.178 -70.167 22.648 1.00 0.00 H +ATOM 71 HE2 PHE A 6 -30.067 -71.303 21.329 1.00 0.00 H +ATOM 72 HZ PHE A 6 -28.350 -71.236 23.090 1.00 0.00 H +ATOM 73 N VAL A 7 -25.995 -70.265 15.038 1.00 0.00 N +ATOM 74 CA VAL A 7 -25.383 -69.808 13.798 1.00 0.00 C +ATOM 75 C VAL A 7 -26.389 -69.142 12.869 1.00 0.00 C +ATOM 76 O VAL A 7 -26.014 -68.281 12.065 1.00 0.00 O +ATOM 77 CB VAL A 7 -24.663 -70.995 13.123 1.00 0.00 C +ATOM 78 CG1 VAL A 7 -25.667 -71.911 12.419 1.00 0.00 C +ATOM 79 CG2 VAL A 7 -23.588 -70.509 12.172 1.00 0.00 C +ATOM 80 H VAL A 7 -26.098 -71.247 15.196 1.00 0.00 H +ATOM 81 HA VAL A 7 -24.616 -69.060 14.046 1.00 0.00 H +ATOM 82 HB VAL A 7 -24.174 -71.581 13.915 1.00 0.00 H +ATOM 83 HG11 VAL A 7 -25.132 -72.748 11.946 1.00 0.00 H +ATOM 84 HG12 VAL A 7 -26.384 -72.303 13.155 1.00 0.00 H +ATOM 85 HG13 VAL A 7 -26.207 -71.340 11.649 1.00 0.00 H +ATOM 86 HG21 VAL A 7 -23.092 -71.373 11.706 1.00 0.00 H +ATOM 87 HG22 VAL A 7 -24.045 -69.883 11.391 1.00 0.00 H +ATOM 88 HG23 VAL A 7 -22.847 -69.917 12.729 1.00 0.00 H +ATOM 89 N GLU A 8 -27.669 -69.509 12.958 1.00 0.00 N +ATOM 90 CA GLU A 8 -28.667 -68.879 12.097 1.00 0.00 C +ATOM 91 C GLU A 8 -29.004 -67.461 12.522 1.00 0.00 C +ATOM 92 O GLU A 8 -29.515 -66.688 11.704 1.00 0.00 O +ATOM 93 CB GLU A 8 -29.962 -69.690 12.059 1.00 0.00 C +ATOM 94 CG GLU A 8 -29.991 -70.723 10.972 1.00 0.00 C +ATOM 95 CD GLU A 8 -29.171 -71.926 11.343 1.00 0.00 C +ATOM 96 OE1 GLU A 8 -28.378 -72.407 10.507 1.00 0.00 O +ATOM 97 OE2 GLU A 8 -29.324 -72.379 12.493 1.00 0.00 O1- +ATOM 98 H GLU A 8 -27.944 -70.213 13.612 1.00 0.00 H +ATOM 99 HA GLU A 8 -28.269 -68.837 11.073 1.00 0.00 H +ATOM 100 HB2 GLU A 8 -30.082 -70.200 13.026 1.00 0.00 H +ATOM 101 HB3 GLU A 8 -30.802 -68.997 11.903 1.00 0.00 H +ATOM 102 HG2 GLU A 8 -31.032 -71.037 10.803 1.00 0.00 H +ATOM 103 HG3 GLU A 8 -29.586 -70.284 10.049 1.00 0.00 H +ATOM 104 N MET A 9 -28.750 -67.105 13.776 1.00 0.00 N +ATOM 105 CA MET A 9 -29.115 -65.786 14.264 1.00 0.00 C +ATOM 106 C MET A 9 -27.947 -64.818 14.282 1.00 0.00 C +ATOM 107 O MET A 9 -28.156 -63.620 14.493 1.00 0.00 O +ATOM 108 CB MET A 9 -29.738 -65.909 15.658 1.00 0.00 C +ATOM 109 CG MET A 9 -31.090 -66.608 15.624 1.00 0.00 C +ATOM 110 SD MET A 9 -31.937 -66.770 17.202 1.00 0.00 S +ATOM 111 CE MET A 9 -31.293 -68.329 17.799 1.00 0.00 C +ATOM 112 H MET A 9 -28.302 -67.753 14.392 1.00 0.00 H +ATOM 113 HA MET A 9 -29.883 -65.369 13.596 1.00 0.00 H +ATOM 114 HB2 MET A 9 -29.057 -66.486 16.301 1.00 0.00 H +ATOM 115 HB3 MET A 9 -29.871 -64.901 16.077 1.00 0.00 H +ATOM 116 HG2 MET A 9 -31.745 -66.039 14.948 1.00 0.00 H +ATOM 117 HG3 MET A 9 -30.935 -67.619 15.220 1.00 0.00 H +ATOM 118 HE1 MET A 9 -32.093 -68.886 18.309 1.00 0.00 H +ATOM 119 HE2 MET A 9 -30.919 -68.920 16.950 1.00 0.00 H +ATOM 120 HE3 MET A 9 -30.471 -68.140 18.505 1.00 0.00 H +ATOM 121 N VAL A 10 -26.731 -65.314 14.063 1.00 0.00 N +ATOM 122 CA VAL A 10 -25.581 -64.439 13.892 1.00 0.00 C +ATOM 123 C VAL A 10 -25.802 -63.545 12.682 1.00 0.00 C +ATOM 124 O VAL A 10 -26.155 -64.017 11.593 1.00 0.00 O +ATOM 125 CB VAL A 10 -24.295 -65.269 13.753 1.00 0.00 C +ATOM 126 CG1 VAL A 10 -23.200 -64.454 13.077 1.00 0.00 C +ATOM 127 CG2 VAL A 10 -23.835 -65.764 15.122 1.00 0.00 C +ATOM 128 H VAL A 10 -26.606 -66.305 14.015 1.00 0.00 H +ATOM 129 HA VAL A 10 -25.480 -63.799 14.781 1.00 0.00 H +ATOM 130 HB VAL A 10 -24.516 -66.144 13.124 1.00 0.00 H +ATOM 131 HG11 VAL A 10 -22.290 -65.065 12.987 1.00 0.00 H +ATOM 132 HG12 VAL A 10 -23.536 -64.148 12.075 1.00 0.00 H +ATOM 133 HG13 VAL A 10 -22.983 -63.560 13.680 1.00 0.00 H +ATOM 134 HG21 VAL A 10 -22.915 -66.356 15.008 1.00 0.00 H +ATOM 135 HG22 VAL A 10 -23.638 -64.902 15.776 1.00 0.00 H +ATOM 136 HG23 VAL A 10 -24.621 -66.391 15.568 1.00 0.00 H +ATOM 137 N ASP A 11 -25.629 -62.235 12.886 1.00 0.00 N +ATOM 138 CA ASP A 11 -25.671 -61.233 11.822 1.00 0.00 C +ATOM 139 C ASP A 11 -27.075 -61.053 11.245 1.00 0.00 C +ATOM 140 O ASP A 11 -27.229 -60.766 10.058 1.00 0.00 O +ATOM 141 CB ASP A 11 -24.666 -61.565 10.710 1.00 0.00 C +ATOM 142 CG ASP A 11 -24.356 -60.372 9.835 1.00 0.00 C +ATOM 143 OD1 ASP A 11 -24.051 -59.305 10.401 1.00 0.00 O +ATOM 144 OD2 ASP A 11 -24.426 -60.493 8.594 1.00 0.00 O1- +ATOM 145 H ASP A 11 -25.461 -61.922 13.821 1.00 0.00 H +ATOM 146 HA ASP A 11 -25.370 -60.267 12.253 1.00 0.00 H +ATOM 147 HB2 ASP A 11 -23.732 -61.916 11.172 1.00 0.00 H +ATOM 148 HB3 ASP A 11 -25.087 -62.364 10.081 1.00 0.00 H +ATOM 149 N ASN A 12 -28.112 -61.194 12.072 1.00 0.00 N +ATOM 150 CA ASN A 12 -29.479 -61.028 11.590 1.00 0.00 C +ATOM 151 C ASN A 12 -30.011 -59.606 11.736 1.00 0.00 C +ATOM 152 O ASN A 12 -31.161 -59.355 11.367 1.00 0.00 O +ATOM 153 CB ASN A 12 -30.431 -62.011 12.298 1.00 0.00 C +ATOM 154 CG ASN A 12 -30.514 -61.789 13.801 1.00 0.00 C +ATOM 155 OD1 ASN A 12 -29.875 -60.893 14.348 1.00 0.00 O +ATOM 156 ND2 ASN A 12 -31.316 -62.609 14.474 1.00 0.00 N +ATOM 157 H ASN A 12 -27.951 -61.416 13.034 1.00 0.00 H +ATOM 158 HA ASN A 12 -29.496 -61.275 10.518 1.00 0.00 H +ATOM 159 HB2 ASN A 12 -31.438 -61.891 11.871 1.00 0.00 H +ATOM 160 HB3 ASN A 12 -30.075 -63.035 12.115 1.00 0.00 H +ATOM 161 HD21 ASN A 12 -31.417 -62.509 15.464 1.00 0.00 H +ATOM 162 HD22 ASN A 12 -31.818 -63.326 13.990 1.00 0.00 H +ATOM 163 N LEU A 13 -29.222 -58.669 12.250 1.00 0.00 N +ATOM 164 CA LEU A 13 -29.687 -57.298 12.414 1.00 0.00 C +ATOM 165 C LEU A 13 -29.063 -56.380 11.369 1.00 0.00 C +ATOM 166 O LEU A 13 -27.891 -56.517 11.013 1.00 0.00 O +ATOM 167 CB LEU A 13 -29.375 -56.758 13.814 1.00 0.00 C +ATOM 168 CG LEU A 13 -29.989 -57.456 15.023 1.00 0.00 C +ATOM 169 CD1 LEU A 13 -29.711 -56.665 16.297 1.00 0.00 C +ATOM 170 CD2 LEU A 13 -31.482 -57.690 14.857 1.00 0.00 C +ATOM 171 H LEU A 13 -28.292 -58.909 12.529 1.00 0.00 H +ATOM 172 HA LEU A 13 -30.778 -57.274 12.278 1.00 0.00 H +ATOM 173 HB2 LEU A 13 -28.283 -56.795 13.939 1.00 0.00 H +ATOM 174 HB3 LEU A 13 -29.712 -55.711 13.839 1.00 0.00 H +ATOM 175 HG LEU A 13 -29.504 -58.438 15.125 1.00 0.00 H +ATOM 176 HD11 LEU A 13 -30.161 -57.183 17.157 1.00 0.00 H +ATOM 177 HD12 LEU A 13 -28.625 -56.582 16.447 1.00 0.00 H +ATOM 178 HD13 LEU A 13 -30.147 -55.659 16.206 1.00 0.00 H +ATOM 179 HD21 LEU A 13 -31.876 -58.194 15.752 1.00 0.00 H +ATOM 180 HD22 LEU A 13 -31.992 -56.724 14.726 1.00 0.00 H +ATOM 181 HD23 LEU A 13 -31.658 -58.321 13.973 1.00 0.00 H +ATOM 182 N ARG A 14 -29.864 -55.433 10.882 1.00 0.00 N +ATOM 183 CA ARG A 14 -29.381 -54.404 9.970 1.00 0.00 C +ATOM 184 C ARG A 14 -29.895 -53.051 10.430 1.00 0.00 C +ATOM 185 O ARG A 14 -30.754 -52.956 11.309 1.00 0.00 O +ATOM 186 CB ARG A 14 -29.818 -54.672 8.522 1.00 0.00 C +ATOM 187 CG ARG A 14 -29.081 -55.816 7.847 1.00 0.00 C +ATOM 188 CD ARG A 14 -27.655 -55.418 7.506 1.00 0.00 C +ATOM 189 NE ARG A 14 -26.883 -56.546 6.989 1.00 0.00 N +ATOM 190 CZ ARG A 14 -26.286 -57.457 7.754 1.00 0.00 C +ATOM 191 NH1 ARG A 14 -25.601 -58.450 7.201 1.00 0.00 N +ATOM 192 NH2 ARG A 14 -26.373 -57.379 9.076 1.00 0.00 N1+ +ATOM 193 H ARG A 14 -30.827 -55.428 11.151 1.00 0.00 H +ATOM 194 HA ARG A 14 -28.281 -54.384 9.998 1.00 0.00 H +ATOM 195 HB2 ARG A 14 -30.892 -54.909 8.525 1.00 0.00 H +ATOM 196 HB3 ARG A 14 -29.645 -53.758 7.936 1.00 0.00 H +ATOM 197 HG2 ARG A 14 -29.061 -56.681 8.526 1.00 0.00 H +ATOM 198 HG3 ARG A 14 -29.610 -56.088 6.922 1.00 0.00 H +ATOM 199 HD2 ARG A 14 -27.680 -54.625 6.744 1.00 0.00 H +ATOM 200 HD3 ARG A 14 -27.165 -55.038 8.415 1.00 0.00 H +ATOM 201 HE ARG A 14 -26.798 -56.639 5.997 1.00 0.00 H +ATOM 202 HH11 ARG A 14 -25.155 -59.133 7.780 1.00 0.00 H +ATOM 203 HH12 ARG A 14 -25.531 -58.515 6.206 1.00 0.00 H +ATOM 204 HH21 ARG A 14 -25.924 -58.066 9.648 1.00 0.00 H +ATOM 205 HH22 ARG A 14 -26.887 -56.634 9.500 1.00 0.00 H +ATOM 206 N GLY A 15 -29.363 -51.995 9.826 1.00 0.00 N +ATOM 207 CA GLY A 15 -29.873 -50.666 10.090 1.00 0.00 C +ATOM 208 C GLY A 15 -29.128 -49.621 9.296 1.00 0.00 C +ATOM 209 O GLY A 15 -28.031 -49.863 8.785 1.00 0.00 O +ATOM 210 H GLY A 15 -28.605 -52.118 9.185 1.00 0.00 H +ATOM 211 HA2 GLY A 15 -30.938 -50.631 9.817 1.00 0.00 H +ATOM 212 HA3 GLY A 15 -29.762 -50.447 11.162 1.00 0.00 H +ATOM 213 N LYS A 16 -29.757 -48.454 9.189 1.00 0.00 N +ATOM 214 CA LYS A 16 -29.100 -47.266 8.674 1.00 0.00 C +ATOM 215 C LYS A 16 -28.494 -46.504 9.843 1.00 0.00 C +ATOM 216 O LYS A 16 -29.074 -46.456 10.933 1.00 0.00 O +ATOM 217 CB LYS A 16 -30.087 -46.377 7.919 1.00 0.00 C +ATOM 218 CG LYS A 16 -30.929 -47.118 6.897 1.00 0.00 C +ATOM 219 CD LYS A 16 -30.115 -47.509 5.675 1.00 0.00 C +ATOM 220 CE LYS A 16 -30.983 -48.224 4.645 1.00 0.00 C +ATOM 221 NZ LYS A 16 -31.496 -49.528 5.154 1.00 0.00 N1+ +ATOM 222 H LYS A 16 -30.714 -48.393 9.473 1.00 0.00 H +ATOM 223 HA LYS A 16 -28.293 -47.558 7.986 1.00 0.00 H +ATOM 224 HB2 LYS A 16 -30.763 -45.911 8.651 1.00 0.00 H +ATOM 225 HB3 LYS A 16 -29.517 -45.595 7.396 1.00 0.00 H +ATOM 226 HG2 LYS A 16 -31.334 -48.029 7.362 1.00 0.00 H +ATOM 227 HG3 LYS A 16 -31.758 -46.468 6.580 1.00 0.00 H +ATOM 228 HD2 LYS A 16 -29.691 -46.602 5.220 1.00 0.00 H +ATOM 229 HD3 LYS A 16 -29.300 -48.179 5.985 1.00 0.00 H +ATOM 230 HE2 LYS A 16 -31.838 -47.580 4.393 1.00 0.00 H +ATOM 231 HE3 LYS A 16 -30.383 -48.407 3.741 1.00 0.00 H +ATOM 232 HZ1 LYS A 16 -31.955 -50.018 4.413 1.00 0.00 H +ATOM 233 HZ2 LYS A 16 -30.732 -50.077 5.494 1.00 0.00 H +ATOM 234 HZ3 LYS A 16 -32.145 -49.364 5.897 1.00 0.00 H +ATOM 235 N SER A 17 -27.315 -45.926 9.615 1.00 0.00 N +ATOM 236 CA SER A 17 -26.605 -45.217 10.672 1.00 0.00 C +ATOM 237 C SER A 17 -27.482 -44.140 11.297 1.00 0.00 C +ATOM 238 O SER A 17 -27.815 -43.143 10.648 1.00 0.00 O +ATOM 239 CB SER A 17 -25.315 -44.601 10.131 1.00 0.00 C +ATOM 240 OG SER A 17 -24.566 -43.992 11.169 1.00 0.00 O +ATOM 241 H SER A 17 -26.910 -45.980 8.702 1.00 0.00 H +ATOM 242 HA SER A 17 -26.333 -45.934 11.460 1.00 0.00 H +ATOM 243 HB2 SER A 17 -24.707 -45.391 9.665 1.00 0.00 H +ATOM 244 HB3 SER A 17 -25.568 -43.841 9.377 1.00 0.00 H +ATOM 245 HG SER A 17 -24.726 -43.056 11.168 1.00 0.00 H +ATOM 246 N GLY A 18 -27.886 -44.355 12.546 1.00 0.00 N +ATOM 247 CA GLY A 18 -28.618 -43.359 13.301 1.00 0.00 C +ATOM 248 C GLY A 18 -30.128 -43.475 13.269 1.00 0.00 C +ATOM 249 O GLY A 18 -30.810 -42.558 13.743 1.00 0.00 O +ATOM 250 H GLY A 18 -27.678 -45.233 12.978 1.00 0.00 H +ATOM 251 HA2 GLY A 18 -28.298 -43.431 14.351 1.00 0.00 H +ATOM 252 HA3 GLY A 18 -28.348 -42.370 12.902 1.00 0.00 H +ATOM 253 N GLN A 19 -30.681 -44.571 12.744 1.00 0.00 N +ATOM 254 CA GLN A 19 -32.121 -44.676 12.565 1.00 0.00 C +ATOM 255 C GLN A 19 -32.744 -45.940 13.141 1.00 0.00 C +ATOM 256 O GLN A 19 -33.975 -46.042 13.152 1.00 0.00 O +ATOM 257 CB GLN A 19 -32.475 -44.562 11.074 1.00 0.00 C +ATOM 258 CG GLN A 19 -32.361 -43.131 10.545 1.00 0.00 C +ATOM 259 CD GLN A 19 -32.628 -43.022 9.061 1.00 0.00 C +ATOM 260 OE1 GLN A 19 -32.649 -44.024 8.350 1.00 0.00 O +ATOM 261 NE2 GLN A 19 -32.837 -41.798 8.582 1.00 0.00 N +ATOM 262 H GLN A 19 -30.095 -45.333 12.469 1.00 0.00 H +ATOM 263 HA GLN A 19 -32.590 -43.821 13.074 1.00 0.00 H +ATOM 264 HB2 GLN A 19 -31.791 -45.204 10.500 1.00 0.00 H +ATOM 265 HB3 GLN A 19 -33.509 -44.908 10.931 1.00 0.00 H +ATOM 266 HG2 GLN A 19 -33.089 -42.502 11.078 1.00 0.00 H +ATOM 267 HG3 GLN A 19 -31.343 -42.764 10.745 1.00 0.00 H +ATOM 268 HE21 GLN A 19 -33.020 -41.667 7.608 1.00 0.00 H +ATOM 269 HE22 GLN A 19 -32.811 -41.009 9.196 1.00 0.00 H +ATOM 270 N GLY A 20 -31.952 -46.889 13.632 1.00 0.00 N +ATOM 271 CA GLY A 20 -32.508 -48.035 14.324 1.00 0.00 C +ATOM 272 C GLY A 20 -32.056 -49.391 13.821 1.00 0.00 C +ATOM 273 O GLY A 20 -31.856 -49.584 12.619 1.00 0.00 O +ATOM 274 H GLY A 20 -30.961 -46.811 13.523 1.00 0.00 H +ATOM 275 HA2 GLY A 20 -32.228 -47.958 15.385 1.00 0.00 H +ATOM 276 HA3 GLY A 20 -33.603 -47.988 14.230 1.00 0.00 H +ATOM 277 N TYR A 21 -31.887 -50.339 14.742 1.00 0.00 N +ATOM 278 CA TYR A 21 -31.529 -51.710 14.404 1.00 0.00 C +ATOM 279 C TYR A 21 -32.797 -52.537 14.239 1.00 0.00 C +ATOM 280 O TYR A 21 -33.649 -52.558 15.130 1.00 0.00 O +ATOM 281 CB TYR A 21 -30.648 -52.326 15.491 1.00 0.00 C +ATOM 282 CG TYR A 21 -29.245 -51.758 15.588 1.00 0.00 C +ATOM 283 CD1 TYR A 21 -28.971 -50.664 16.398 1.00 0.00 C +ATOM 284 CD2 TYR A 21 -28.189 -52.335 14.890 1.00 0.00 C +ATOM 285 CE1 TYR A 21 -27.691 -50.153 16.500 1.00 0.00 C +ATOM 286 CE2 TYR A 21 -26.902 -51.826 14.984 1.00 0.00 C +ATOM 287 CZ TYR A 21 -26.661 -50.734 15.792 1.00 0.00 C +ATOM 288 OH TYR A 21 -25.390 -50.219 15.897 1.00 0.00 O +ATOM 289 H TYR A 21 -32.011 -50.099 15.705 1.00 0.00 H +ATOM 290 HA TYR A 21 -30.974 -51.722 13.454 1.00 0.00 H +ATOM 291 HB2 TYR A 21 -31.145 -52.171 16.460 1.00 0.00 H +ATOM 292 HB3 TYR A 21 -30.565 -53.404 15.290 1.00 0.00 H +ATOM 293 HD1 TYR A 21 -29.772 -50.204 16.958 1.00 0.00 H +ATOM 294 HD2 TYR A 21 -28.375 -53.195 14.264 1.00 0.00 H +ATOM 295 HE1 TYR A 21 -27.498 -49.300 17.133 1.00 0.00 H +ATOM 296 HE2 TYR A 21 -26.095 -52.281 14.429 1.00 0.00 H +ATOM 297 HH TYR A 21 -25.397 -49.475 16.488 1.00 0.00 H +ATOM 298 N TYR A 22 -32.918 -53.228 13.111 1.00 0.00 N +ATOM 299 CA TYR A 22 -34.131 -53.975 12.814 1.00 0.00 C +ATOM 300 C TYR A 22 -33.830 -55.415 12.428 1.00 0.00 C +ATOM 301 O TYR A 22 -32.769 -55.729 11.880 1.00 0.00 O +ATOM 302 CB TYR A 22 -34.956 -53.301 11.705 1.00 0.00 C +ATOM 303 CG TYR A 22 -34.247 -53.062 10.390 1.00 0.00 C +ATOM 304 CD1 TYR A 22 -34.170 -54.060 9.426 1.00 0.00 C +ATOM 305 CD2 TYR A 22 -33.697 -51.822 10.090 1.00 0.00 C +ATOM 306 CE1 TYR A 22 -33.542 -53.835 8.207 1.00 0.00 C +ATOM 307 CE2 TYR A 22 -33.071 -51.590 8.879 1.00 0.00 C +ATOM 308 CZ TYR A 22 -32.996 -52.596 7.942 1.00 0.00 C +ATOM 309 OH TYR A 22 -32.371 -52.362 6.739 1.00 0.00 O +ATOM 310 H TYR A 22 -32.163 -53.235 12.455 1.00 0.00 H +ATOM 311 HA TYR A 22 -34.755 -53.998 13.720 1.00 0.00 H +ATOM 312 HB2 TYR A 22 -35.829 -53.938 11.503 1.00 0.00 H +ATOM 313 HB3 TYR A 22 -35.294 -52.326 12.085 1.00 0.00 H +ATOM 314 HD1 TYR A 22 -34.606 -55.027 9.628 1.00 0.00 H +ATOM 315 HD2 TYR A 22 -33.759 -51.025 10.816 1.00 0.00 H +ATOM 316 HE1 TYR A 22 -33.482 -54.624 7.472 1.00 0.00 H +ATOM 317 HE2 TYR A 22 -32.642 -50.622 8.669 1.00 0.00 H +ATOM 318 HH TYR A 22 -32.869 -52.767 6.039 1.00 0.00 H +ATOM 319 N VAL A 23 -34.796 -56.279 12.720 1.00 0.00 N +ATOM 320 CA VAL A 23 -34.743 -57.694 12.391 1.00 0.00 C +ATOM 321 C VAL A 23 -35.870 -57.994 11.414 1.00 0.00 C +ATOM 322 O VAL A 23 -36.937 -57.373 11.470 1.00 0.00 O +ATOM 323 CB VAL A 23 -34.857 -58.572 13.655 1.00 0.00 C +ATOM 324 CG1 VAL A 23 -36.231 -58.415 14.301 1.00 0.00 C +ATOM 325 CG2 VAL A 23 -34.572 -60.027 13.329 1.00 0.00 C +ATOM 326 H VAL A 23 -35.607 -55.936 13.194 1.00 0.00 H +ATOM 327 HA VAL A 23 -33.785 -57.920 11.900 1.00 0.00 H +ATOM 328 HB VAL A 23 -34.100 -58.227 14.375 1.00 0.00 H +ATOM 329 HG11 VAL A 23 -36.289 -59.049 15.198 1.00 0.00 H +ATOM 330 HG12 VAL A 23 -36.385 -57.363 14.584 1.00 0.00 H +ATOM 331 HG13 VAL A 23 -37.009 -58.720 13.586 1.00 0.00 H +ATOM 332 HG21 VAL A 23 -34.659 -60.632 14.243 1.00 0.00 H +ATOM 333 HG22 VAL A 23 -35.297 -60.384 12.583 1.00 0.00 H +ATOM 334 HG23 VAL A 23 -33.553 -60.119 12.924 1.00 0.00 H +ATOM 335 N GLU A 24 -35.624 -58.929 10.506 1.00 0.00 N +ATOM 336 CA GLU A 24 -36.665 -59.346 9.582 1.00 0.00 C +ATOM 337 C GLU A 24 -37.617 -60.310 10.275 1.00 0.00 C +ATOM 338 O GLU A 24 -37.184 -61.226 10.981 1.00 0.00 O +ATOM 339 CB GLU A 24 -36.052 -59.992 8.339 1.00 0.00 C +ATOM 340 CG GLU A 24 -37.089 -60.483 7.335 1.00 0.00 C +ATOM 341 CD GLU A 24 -36.475 -60.980 6.040 1.00 0.00 C +ATOM 342 OE1 GLU A 24 -36.038 -60.142 5.220 1.00 0.00 O +ATOM 343 OE2 GLU A 24 -36.422 -62.213 5.845 1.00 0.00 O1- +ATOM 344 H GLU A 24 -34.718 -59.349 10.457 1.00 0.00 H +ATOM 345 HA GLU A 24 -37.239 -58.464 9.263 1.00 0.00 H +ATOM 346 HB2 GLU A 24 -35.410 -59.250 7.842 1.00 0.00 H +ATOM 347 HB3 GLU A 24 -35.442 -60.850 8.658 1.00 0.00 H +ATOM 348 HG2 GLU A 24 -37.656 -61.307 7.792 1.00 0.00 H +ATOM 349 HG3 GLU A 24 -37.772 -59.653 7.103 1.00 0.00 H +ATOM 350 N MET A 25 -38.915 -60.090 10.086 1.00 0.00 N +ATOM 351 CA MET A 25 -39.944 -60.963 10.628 1.00 0.00 C +ATOM 352 C MET A 25 -41.027 -61.156 9.574 1.00 0.00 C +ATOM 353 O MET A 25 -41.151 -60.371 8.632 1.00 0.00 O +ATOM 354 CB MET A 25 -40.567 -60.396 11.922 1.00 0.00 C +ATOM 355 CG MET A 25 -39.574 -59.931 12.988 1.00 0.00 C +ATOM 356 SD MET A 25 -40.371 -59.212 14.441 1.00 0.00 S +ATOM 357 CE MET A 25 -41.076 -60.663 15.226 1.00 0.00 C +ATOM 358 H MET A 25 -39.194 -59.293 9.550 1.00 0.00 H +ATOM 359 HA MET A 25 -39.505 -61.944 10.860 1.00 0.00 H +ATOM 360 HB2 MET A 25 -41.194 -59.535 11.646 1.00 0.00 H +ATOM 361 HB3 MET A 25 -41.196 -61.181 12.366 1.00 0.00 H +ATOM 362 HG2 MET A 25 -38.976 -60.797 13.310 1.00 0.00 H +ATOM 363 HG3 MET A 25 -38.912 -59.174 12.542 1.00 0.00 H +ATOM 364 HE1 MET A 25 -42.060 -60.410 15.649 1.00 0.00 H +ATOM 365 HE2 MET A 25 -41.192 -61.463 14.480 1.00 0.00 H +ATOM 366 HE3 MET A 25 -40.408 -61.006 16.030 1.00 0.00 H +ATOM 367 N THR A 26 -41.798 -62.227 9.727 1.00 0.00 N +ATOM 368 CA THR A 26 -42.965 -62.478 8.893 1.00 0.00 C +ATOM 369 C THR A 26 -44.206 -62.555 9.768 1.00 0.00 C +ATOM 370 O THR A 26 -44.158 -63.084 10.883 1.00 0.00 O +ATOM 371 CB THR A 26 -42.840 -63.778 8.086 1.00 0.00 C +ATOM 372 OG1 THR A 26 -42.938 -64.901 8.969 1.00 0.00 O +ATOM 373 CG2 THR A 26 -41.518 -63.831 7.344 1.00 0.00 C +ATOM 374 H THR A 26 -41.568 -62.886 10.443 1.00 0.00 H +ATOM 375 HA THR A 26 -43.090 -61.645 8.186 1.00 0.00 H +ATOM 376 HB THR A 26 -43.657 -63.810 7.351 1.00 0.00 H +ATOM 377 HG1 THR A 26 -43.763 -64.864 9.439 1.00 0.00 H +ATOM 378 HG21 THR A 26 -41.454 -64.770 6.775 1.00 0.00 H +ATOM 379 HG22 THR A 26 -41.451 -62.978 6.653 1.00 0.00 H +ATOM 380 HG23 THR A 26 -40.690 -63.783 8.066 1.00 0.00 H +ATOM 381 N VAL A 27 -45.309 -62.014 9.257 1.00 0.00 N +ATOM 382 CA VAL A 27 -46.601 -62.061 9.926 1.00 0.00 C +ATOM 383 C VAL A 27 -47.627 -62.617 8.947 1.00 0.00 C +ATOM 384 O VAL A 27 -47.606 -62.290 7.755 1.00 0.00 O +ATOM 385 CB VAL A 27 -47.029 -60.670 10.447 1.00 0.00 C +ATOM 386 CG1 VAL A 27 -45.992 -60.113 11.408 1.00 0.00 C +ATOM 387 CG2 VAL A 27 -47.241 -59.703 9.293 1.00 0.00 C +ATOM 388 H VAL A 27 -45.248 -61.553 8.372 1.00 0.00 H +ATOM 389 HA VAL A 27 -46.539 -62.743 10.787 1.00 0.00 H +ATOM 390 HB VAL A 27 -47.981 -60.783 10.987 1.00 0.00 H +ATOM 391 HG11 VAL A 27 -46.316 -59.125 11.766 1.00 0.00 H +ATOM 392 HG12 VAL A 27 -45.882 -60.795 12.264 1.00 0.00 H +ATOM 393 HG13 VAL A 27 -45.027 -60.017 10.890 1.00 0.00 H +ATOM 394 HG21 VAL A 27 -47.544 -58.722 9.687 1.00 0.00 H +ATOM 395 HG22 VAL A 27 -46.304 -59.597 8.727 1.00 0.00 H +ATOM 396 HG23 VAL A 27 -48.028 -60.091 8.630 1.00 0.00 H +ATOM 397 N GLY A 28 -48.506 -63.482 9.446 1.00 0.00 N +ATOM 398 CA GLY A 28 -49.646 -63.919 8.667 1.00 0.00 C +ATOM 399 C GLY A 28 -49.400 -65.179 7.856 1.00 0.00 C +ATOM 400 O GLY A 28 -48.311 -65.754 7.824 1.00 0.00 O +ATOM 401 H GLY A 28 -48.378 -63.836 10.373 1.00 0.00 H +ATOM 402 HA2 GLY A 28 -50.482 -64.110 9.356 1.00 0.00 H +ATOM 403 HA3 GLY A 28 -49.920 -63.110 7.973 1.00 0.00 H +ATOM 404 N SER A 29 -50.463 -65.602 7.173 1.00 0.00 N +ATOM 405 CA SER A 29 -50.455 -66.803 6.340 1.00 0.00 C +ATOM 406 C SER A 29 -51.149 -66.478 5.028 1.00 0.00 C +ATOM 407 O SER A 29 -52.359 -66.165 5.030 1.00 0.00 O +ATOM 408 CB SER A 29 -51.151 -67.967 7.049 1.00 0.00 C +ATOM 409 OG SER A 29 -50.579 -68.211 8.319 1.00 0.00 O +ATOM 410 H SER A 29 -51.308 -65.071 7.233 1.00 0.00 H +ATOM 411 HA SER A 29 -49.416 -67.094 6.127 1.00 0.00 H +ATOM 412 HB2 SER A 29 -52.216 -67.724 7.176 1.00 0.00 H +ATOM 413 HB3 SER A 29 -51.053 -68.872 6.432 1.00 0.00 H +ATOM 414 HG SER A 29 -51.067 -67.738 8.983 1.00 0.00 H +ATOM 415 N PRO A 30 -50.448 -66.520 3.880 1.00 0.00 N +ATOM 416 CA PRO A 30 -49.014 -66.806 3.737 1.00 0.00 C +ATOM 417 C PRO A 30 -48.153 -65.677 4.330 1.00 0.00 C +ATOM 418 O PRO A 30 -48.698 -64.599 4.577 1.00 0.00 O +ATOM 419 CB PRO A 30 -48.839 -66.932 2.219 1.00 0.00 C +ATOM 420 CG PRO A 30 -49.945 -66.121 1.641 1.00 0.00 C +ATOM 421 CD PRO A 30 -51.100 -66.305 2.577 1.00 0.00 C +ATOM 422 HA PRO A 30 -48.758 -67.760 4.221 1.00 0.00 H +ATOM 423 HB2 PRO A 30 -47.862 -66.534 1.907 1.00 0.00 H +ATOM 424 HB3 PRO A 30 -48.924 -67.983 1.905 1.00 0.00 H +ATOM 425 HG2 PRO A 30 -49.658 -65.061 1.587 1.00 0.00 H +ATOM 426 HG3 PRO A 30 -50.203 -66.483 0.635 1.00 0.00 H +ATOM 427 HD2 PRO A 30 -51.705 -67.178 2.290 1.00 0.00 H +ATOM 428 HD3 PRO A 30 -51.737 -65.409 2.598 1.00 0.00 H +ATOM 429 N PRO A 31 -46.859 -65.913 4.568 1.00 0.00 N +ATOM 430 CA PRO A 31 -46.092 -64.976 5.404 1.00 0.00 C +ATOM 431 C PRO A 31 -45.835 -63.661 4.683 1.00 0.00 C +ATOM 432 O PRO A 31 -45.469 -63.641 3.505 1.00 0.00 O +ATOM 433 CB PRO A 31 -44.781 -65.726 5.682 1.00 0.00 C +ATOM 434 CG PRO A 31 -44.914 -67.078 5.030 1.00 0.00 C +ATOM 435 CD PRO A 31 -45.991 -66.958 4.003 1.00 0.00 C +ATOM 436 HA PRO A 31 -46.617 -64.786 6.352 1.00 0.00 H +ATOM 437 HB2 PRO A 31 -43.931 -65.178 5.250 1.00 0.00 H +ATOM 438 HB3 PRO A 31 -44.631 -65.840 6.766 1.00 0.00 H +ATOM 439 HG2 PRO A 31 -43.965 -67.363 4.552 1.00 0.00 H +ATOM 440 HG3 PRO A 31 -45.188 -67.835 5.780 1.00 0.00 H +ATOM 441 HD2 PRO A 31 -45.580 -66.649 3.031 1.00 0.00 H +ATOM 442 HD3 PRO A 31 -46.536 -67.907 3.886 1.00 0.00 H +ATOM 443 N GLN A 32 -46.034 -62.561 5.403 1.00 0.00 N +ATOM 444 CA GLN A 32 -45.751 -61.219 4.910 1.00 0.00 C +ATOM 445 C GLN A 32 -44.488 -60.709 5.594 1.00 0.00 C +ATOM 446 O GLN A 32 -44.453 -60.577 6.822 1.00 0.00 O +ATOM 447 CB GLN A 32 -46.929 -60.280 5.171 1.00 0.00 C +ATOM 448 CG GLN A 32 -48.212 -60.695 4.466 1.00 0.00 C +ATOM 449 CD GLN A 32 -49.377 -59.777 4.787 1.00 0.00 C +ATOM 450 OE1 GLN A 32 -49.205 -58.569 4.953 1.00 0.00 O +ATOM 451 NE2 GLN A 32 -50.571 -60.349 4.882 1.00 0.00 N +ATOM 452 H GLN A 32 -46.396 -62.660 6.330 1.00 0.00 H +ATOM 453 HA GLN A 32 -45.570 -61.258 3.826 1.00 0.00 H +ATOM 454 HB2 GLN A 32 -47.120 -60.256 6.254 1.00 0.00 H +ATOM 455 HB3 GLN A 32 -46.653 -59.273 4.825 1.00 0.00 H +ATOM 456 HG2 GLN A 32 -48.039 -60.678 3.380 1.00 0.00 H +ATOM 457 HG3 GLN A 32 -48.472 -61.717 4.780 1.00 0.00 H +ATOM 458 HE21 GLN A 32 -51.375 -59.795 5.096 1.00 0.00 H +ATOM 459 HE22 GLN A 32 -50.666 -61.334 4.740 1.00 0.00 H +ATOM 460 N THR A 33 -43.463 -60.416 4.798 1.00 0.00 N +ATOM 461 CA THR A 33 -42.169 -60.004 5.329 1.00 0.00 C +ATOM 462 C THR A 33 -42.179 -58.533 5.724 1.00 0.00 C +ATOM 463 O THR A 33 -42.702 -57.682 4.998 1.00 0.00 O +ATOM 464 CB THR A 33 -41.071 -60.253 4.295 1.00 0.00 C +ATOM 465 OG1 THR A 33 -41.081 -61.633 3.913 1.00 0.00 O +ATOM 466 CG2 THR A 33 -39.702 -59.905 4.862 1.00 0.00 C +ATOM 467 H THR A 33 -43.583 -60.480 3.807 1.00 0.00 H +ATOM 468 HA THR A 33 -41.940 -60.600 6.224 1.00 0.00 H +ATOM 469 HB THR A 33 -41.263 -59.618 3.417 1.00 0.00 H +ATOM 470 HG1 THR A 33 -40.428 -62.106 4.415 1.00 0.00 H +ATOM 471 HG21 THR A 33 -38.931 -60.092 4.100 1.00 0.00 H +ATOM 472 HG22 THR A 33 -39.683 -58.843 5.149 1.00 0.00 H +ATOM 473 HG23 THR A 33 -39.503 -60.528 5.747 1.00 0.00 H +ATOM 474 N LEU A 34 -41.594 -58.238 6.885 1.00 0.00 N +ATOM 475 CA LEU A 34 -41.463 -56.870 7.368 1.00 0.00 C +ATOM 476 C LEU A 34 -40.158 -56.726 8.142 1.00 0.00 C +ATOM 477 O LEU A 34 -39.686 -57.679 8.764 1.00 0.00 O +ATOM 478 CB LEU A 34 -42.636 -56.473 8.272 1.00 0.00 C +ATOM 479 CG LEU A 34 -44.049 -56.434 7.687 1.00 0.00 C +ATOM 480 CD1 LEU A 34 -45.073 -56.271 8.798 1.00 0.00 C +ATOM 481 CD2 LEU A 34 -44.159 -55.308 6.677 1.00 0.00 C +ATOM 482 H LEU A 34 -41.232 -58.983 7.445 1.00 0.00 H +ATOM 483 HA LEU A 34 -41.438 -56.181 6.511 1.00 0.00 H +ATOM 484 HB2 LEU A 34 -42.654 -57.188 9.108 1.00 0.00 H +ATOM 485 HB3 LEU A 34 -42.419 -55.465 8.656 1.00 0.00 H +ATOM 486 HG LEU A 34 -44.239 -57.387 7.172 1.00 0.00 H +ATOM 487 HD11 LEU A 34 -46.084 -56.244 8.365 1.00 0.00 H +ATOM 488 HD12 LEU A 34 -44.995 -57.118 9.495 1.00 0.00 H +ATOM 489 HD13 LEU A 34 -44.881 -55.332 9.339 1.00 0.00 H +ATOM 490 HD21 LEU A 34 -45.177 -55.286 6.261 1.00 0.00 H +ATOM 491 HD22 LEU A 34 -43.945 -54.349 7.172 1.00 0.00 H +ATOM 492 HD23 LEU A 34 -43.435 -55.472 5.865 1.00 0.00 H +ATOM 493 N ASN A 35 -39.584 -55.524 8.103 1.00 0.00 N +ATOM 494 CA ASN A 35 -38.448 -55.157 8.943 1.00 0.00 C +ATOM 495 C ASN A 35 -38.974 -54.498 10.212 1.00 0.00 C +ATOM 496 O ASN A 35 -39.796 -53.576 10.139 1.00 0.00 O +ATOM 497 CB ASN A 35 -37.507 -54.205 8.209 1.00 0.00 C +ATOM 498 CG ASN A 35 -36.673 -54.901 7.155 1.00 0.00 C +ATOM 499 OD1 ASN A 35 -36.405 -56.099 7.245 1.00 0.00 O +ATOM 500 ND2 ASN A 35 -36.245 -54.148 6.155 1.00 0.00 N +ATOM 501 H ASN A 35 -39.948 -54.842 7.469 1.00 0.00 H +ATOM 502 HA ASN A 35 -37.888 -56.062 9.221 1.00 0.00 H +ATOM 503 HB2 ASN A 35 -38.108 -53.423 7.722 1.00 0.00 H +ATOM 504 HB3 ASN A 35 -36.831 -53.743 8.944 1.00 0.00 H +ATOM 505 HD21 ASN A 35 -35.680 -54.549 5.434 1.00 0.00 H +ATOM 506 HD22 ASN A 35 -36.486 -53.178 6.121 1.00 0.00 H +ATOM 507 N ILE A 36 -38.502 -54.963 11.369 1.00 0.00 N +ATOM 508 CA ILE A 36 -39.090 -54.608 12.660 1.00 0.00 C +ATOM 509 C ILE A 36 -37.993 -54.120 13.600 1.00 0.00 C +ATOM 510 O ILE A 36 -37.008 -54.831 13.827 1.00 0.00 O +ATOM 511 CB ILE A 36 -39.836 -55.796 13.288 1.00 0.00 C +ATOM 512 CG1 ILE A 36 -40.949 -56.280 12.361 1.00 0.00 C +ATOM 513 CG2 ILE A 36 -40.448 -55.406 14.598 1.00 0.00 C +ATOM 514 CD1 ILE A 36 -42.011 -55.235 12.129 1.00 0.00 C +ATOM 515 H ILE A 36 -37.715 -55.579 11.353 1.00 0.00 H +ATOM 516 HA ILE A 36 -39.810 -53.789 12.515 1.00 0.00 H +ATOM 517 HB ILE A 36 -39.123 -56.618 13.449 1.00 0.00 H +ATOM 518 HG12 ILE A 36 -40.506 -56.552 11.392 1.00 0.00 H +ATOM 519 HG13 ILE A 36 -41.420 -57.167 12.811 1.00 0.00 H +ATOM 520 HG21 ILE A 36 -40.976 -56.270 15.028 1.00 0.00 H +ATOM 521 HG22 ILE A 36 -39.657 -55.078 15.289 1.00 0.00 H +ATOM 522 HG23 ILE A 36 -41.161 -54.583 14.439 1.00 0.00 H +ATOM 523 HD11 ILE A 36 -42.783 -55.639 11.457 1.00 0.00 H +ATOM 524 HD12 ILE A 36 -42.470 -54.959 13.090 1.00 0.00 H +ATOM 525 HD13 ILE A 36 -41.555 -54.345 11.671 1.00 0.00 H +ATOM 526 N LEU A 37 -38.186 -52.933 14.176 1.00 0.00 N +ATOM 527 CA LEU A 37 -37.185 -52.340 15.056 1.00 0.00 C +ATOM 528 C LEU A 37 -37.052 -53.135 16.352 1.00 0.00 C +ATOM 529 O LEU A 37 -38.050 -53.460 17.002 1.00 0.00 O +ATOM 530 CB LEU A 37 -37.563 -50.890 15.359 1.00 0.00 C +ATOM 531 CG LEU A 37 -36.706 -50.099 16.352 1.00 0.00 C +ATOM 532 CD1 LEU A 37 -35.364 -49.732 15.749 1.00 0.00 C +ATOM 533 CD2 LEU A 37 -37.430 -48.851 16.838 1.00 0.00 C +ATOM 534 H LEU A 37 -39.037 -52.438 14.001 1.00 0.00 H +ATOM 535 HA LEU A 37 -36.210 -52.343 14.547 1.00 0.00 H +ATOM 536 HB2 LEU A 37 -37.541 -50.343 14.405 1.00 0.00 H +ATOM 537 HB3 LEU A 37 -38.590 -50.899 15.753 1.00 0.00 H +ATOM 538 HG LEU A 37 -36.521 -50.744 17.224 1.00 0.00 H +ATOM 539 HD11 LEU A 37 -34.773 -49.166 16.485 1.00 0.00 H +ATOM 540 HD12 LEU A 37 -34.823 -50.649 15.472 1.00 0.00 H +ATOM 541 HD13 LEU A 37 -35.522 -49.114 14.852 1.00 0.00 H +ATOM 542 HD21 LEU A 37 -36.789 -48.307 17.548 1.00 0.00 H +ATOM 543 HD22 LEU A 37 -37.659 -48.202 15.980 1.00 0.00 H +ATOM 544 HD23 LEU A 37 -38.366 -49.141 17.338 1.00 0.00 H +ATOM 545 N VAL A 38 -35.812 -53.438 16.728 1.00 0.00 N +ATOM 546 CA VAL A 38 -35.537 -54.157 17.968 1.00 0.00 C +ATOM 547 C VAL A 38 -35.432 -53.140 19.099 1.00 0.00 C +ATOM 548 O VAL A 38 -34.558 -52.267 19.087 1.00 0.00 O +ATOM 549 CB VAL A 38 -34.258 -54.997 17.852 1.00 0.00 C +ATOM 550 CG1 VAL A 38 -33.956 -55.691 19.178 1.00 0.00 C +ATOM 551 CG2 VAL A 38 -34.399 -56.022 16.732 1.00 0.00 C +ATOM 552 H VAL A 38 -35.047 -53.165 16.145 1.00 0.00 H +ATOM 553 HA VAL A 38 -36.375 -54.834 18.188 1.00 0.00 H +ATOM 554 HB VAL A 38 -33.421 -54.326 17.610 1.00 0.00 H +ATOM 555 HG11 VAL A 38 -33.038 -56.288 19.079 1.00 0.00 H +ATOM 556 HG12 VAL A 38 -33.818 -54.935 19.965 1.00 0.00 H +ATOM 557 HG13 VAL A 38 -34.795 -56.350 19.446 1.00 0.00 H +ATOM 558 HG21 VAL A 38 -33.476 -56.617 16.660 1.00 0.00 H +ATOM 559 HG22 VAL A 38 -35.248 -56.687 16.949 1.00 0.00 H +ATOM 560 HG23 VAL A 38 -34.575 -55.502 15.779 1.00 0.00 H +ATOM 561 N ASP A 39 -36.312 -53.265 20.090 1.00 0.00 N +ATOM 562 CA ASP A 39 -36.560 -52.177 21.033 1.00 0.00 C +ATOM 563 C ASP A 39 -36.770 -52.745 22.434 1.00 0.00 C +ATOM 564 O ASP A 39 -37.857 -53.236 22.752 1.00 0.00 O +ATOM 565 CB ASP A 39 -37.766 -51.366 20.576 1.00 0.00 C +ATOM 566 CG ASP A 39 -38.013 -50.148 21.437 1.00 0.00 C +ATOM 567 OD1 ASP A 39 -39.138 -49.600 21.385 1.00 0.00 O +ATOM 568 OD2 ASP A 39 -37.086 -49.736 22.161 1.00 0.00 O1- +ATOM 569 H ASP A 39 -36.815 -54.123 20.191 1.00 0.00 H +ATOM 570 HA ASP A 39 -35.684 -51.512 21.057 1.00 0.00 H +ATOM 571 HB2 ASP A 39 -37.596 -51.036 19.541 1.00 0.00 H +ATOM 572 HB3 ASP A 39 -38.657 -52.010 20.614 1.00 0.00 H +ATOM 573 N THR A 40 -35.738 -52.652 23.276 1.00 0.00 N +ATOM 574 CA THR A 40 -35.851 -53.101 24.657 1.00 0.00 C +ATOM 575 C THR A 40 -36.516 -52.076 25.560 1.00 0.00 C +ATOM 576 O THR A 40 -36.688 -52.348 26.752 1.00 0.00 O +ATOM 577 CB THR A 40 -34.475 -53.449 25.226 1.00 0.00 C +ATOM 578 OG1 THR A 40 -33.651 -52.278 25.256 1.00 0.00 O +ATOM 579 CG2 THR A 40 -33.808 -54.521 24.379 1.00 0.00 C +ATOM 580 H THR A 40 -34.873 -52.268 22.953 1.00 0.00 H +ATOM 581 HA THR A 40 -36.462 -54.015 24.679 1.00 0.00 H +ATOM 582 HB THR A 40 -34.607 -53.839 26.246 1.00 0.00 H +ATOM 583 HG1 THR A 40 -33.506 -52.015 26.157 1.00 0.00 H +ATOM 584 HG21 THR A 40 -32.820 -54.760 24.800 1.00 0.00 H +ATOM 585 HG22 THR A 40 -34.433 -55.426 24.374 1.00 0.00 H +ATOM 586 HG23 THR A 40 -33.688 -54.153 23.350 1.00 0.00 H +ATOM 587 N GLY A 41 -36.896 -50.918 25.030 1.00 0.00 N +ATOM 588 CA GLY A 41 -37.516 -49.891 25.841 1.00 0.00 C +ATOM 589 C GLY A 41 -39.019 -49.783 25.682 1.00 0.00 C +ATOM 590 O GLY A 41 -39.620 -48.792 26.103 1.00 0.00 O +ATOM 591 H GLY A 41 -36.751 -50.753 24.054 1.00 0.00 H +ATOM 592 HA2 GLY A 41 -37.298 -50.109 26.897 1.00 0.00 H +ATOM 593 HA3 GLY A 41 -37.072 -48.923 25.567 1.00 0.00 H +ATOM 594 N SER A 42 -39.641 -50.788 25.073 1.00 0.00 N +ATOM 595 CA SER A 42 -41.090 -50.805 24.924 1.00 0.00 C +ATOM 596 C SER A 42 -41.556 -52.250 24.924 1.00 0.00 C +ATOM 597 O SER A 42 -40.748 -53.177 24.971 1.00 0.00 O +ATOM 598 CB SER A 42 -41.531 -50.074 23.652 1.00 0.00 C +ATOM 599 OG SER A 42 -41.161 -50.794 22.490 1.00 0.00 O +ATOM 600 H SER A 42 -39.103 -51.548 24.709 1.00 0.00 H +ATOM 601 HA SER A 42 -41.546 -50.296 25.786 1.00 0.00 H +ATOM 602 HB2 SER A 42 -42.625 -49.956 23.667 1.00 0.00 H +ATOM 603 HB3 SER A 42 -41.056 -49.082 23.626 1.00 0.00 H +ATOM 604 HG SER A 42 -40.467 -50.330 22.037 1.00 0.00 H +ATOM 605 N SER A 43 -42.878 -52.440 24.848 1.00 0.00 N +ATOM 606 CA SER A 43 -43.429 -53.774 25.049 1.00 0.00 C +ATOM 607 C SER A 43 -44.540 -54.156 24.076 1.00 0.00 C +ATOM 608 O SER A 43 -45.210 -55.169 24.302 1.00 0.00 O +ATOM 609 CB SER A 43 -43.953 -53.905 26.478 1.00 0.00 C +ATOM 610 OG SER A 43 -42.914 -53.684 27.413 1.00 0.00 O +ATOM 611 H SER A 43 -43.486 -51.670 24.654 1.00 0.00 H +ATOM 612 HA SER A 43 -42.617 -54.506 24.927 1.00 0.00 H +ATOM 613 HB2 SER A 43 -44.749 -53.163 26.640 1.00 0.00 H +ATOM 614 HB3 SER A 43 -44.360 -54.917 26.622 1.00 0.00 H +ATOM 615 HG SER A 43 -43.159 -54.054 28.253 1.00 0.00 H +ATOM 616 N ASN A 44 -44.768 -53.393 23.016 1.00 0.00 N +ATOM 617 CA ASN A 44 -45.759 -53.752 22.014 1.00 0.00 C +ATOM 618 C ASN A 44 -45.085 -54.243 20.741 1.00 0.00 C +ATOM 619 O ASN A 44 -44.004 -53.779 20.369 1.00 0.00 O +ATOM 620 CB ASN A 44 -46.676 -52.569 21.683 1.00 0.00 C +ATOM 621 CG ASN A 44 -47.680 -52.281 22.787 1.00 0.00 C +ATOM 622 OD1 ASN A 44 -47.477 -51.391 23.610 1.00 0.00 O +ATOM 623 ND2 ASN A 44 -48.777 -53.034 22.803 1.00 0.00 N +ATOM 624 H ASN A 44 -44.245 -52.548 22.903 1.00 0.00 H +ATOM 625 HA ASN A 44 -46.385 -54.567 22.406 1.00 0.00 H +ATOM 626 HB2 ASN A 44 -46.055 -51.674 21.529 1.00 0.00 H +ATOM 627 HB3 ASN A 44 -47.225 -52.797 20.758 1.00 0.00 H +ATOM 628 HD21 ASN A 44 -49.475 -52.886 23.503 1.00 0.00 H +ATOM 629 HD22 ASN A 44 -48.903 -53.748 22.115 1.00 0.00 H +ATOM 630 N PHE A 45 -45.727 -55.212 20.093 1.00 0.00 N +ATOM 631 CA PHE A 45 -45.399 -55.597 18.724 1.00 0.00 C +ATOM 632 C PHE A 45 -46.354 -54.805 17.842 1.00 0.00 C +ATOM 633 O PHE A 45 -47.532 -55.145 17.716 1.00 0.00 O +ATOM 634 CB PHE A 45 -45.529 -57.102 18.511 1.00 0.00 C +ATOM 635 CG PHE A 45 -45.125 -57.568 17.133 1.00 0.00 C +ATOM 636 CD1 PHE A 45 -44.059 -56.984 16.464 1.00 0.00 C +ATOM 637 CD2 PHE A 45 -45.799 -58.615 16.522 1.00 0.00 C +ATOM 638 CE1 PHE A 45 -43.687 -57.422 15.202 1.00 0.00 C +ATOM 639 CE2 PHE A 45 -45.429 -59.057 15.263 1.00 0.00 C +ATOM 640 CZ PHE A 45 -44.375 -58.461 14.603 1.00 0.00 C +ATOM 641 H PHE A 45 -46.465 -55.696 20.563 1.00 0.00 H +ATOM 642 HA PHE A 45 -44.367 -55.294 18.491 1.00 0.00 H +ATOM 643 HB2 PHE A 45 -44.891 -57.611 19.248 1.00 0.00 H +ATOM 644 HB3 PHE A 45 -46.579 -57.385 18.677 1.00 0.00 H +ATOM 645 HD1 PHE A 45 -43.512 -56.179 16.932 1.00 0.00 H +ATOM 646 HD2 PHE A 45 -46.622 -59.091 17.034 1.00 0.00 H +ATOM 647 HE1 PHE A 45 -42.861 -56.952 14.688 1.00 0.00 H +ATOM 648 HE2 PHE A 45 -45.967 -59.870 14.797 1.00 0.00 H +ATOM 649 HZ PHE A 45 -44.088 -58.805 13.620 1.00 0.00 H +ATOM 650 N ALA A 46 -45.856 -53.714 17.276 1.00 0.00 N +ATOM 651 CA ALA A 46 -46.662 -52.804 16.478 1.00 0.00 C +ATOM 652 C ALA A 46 -46.094 -52.758 15.070 1.00 0.00 C +ATOM 653 O ALA A 46 -44.885 -52.577 14.892 1.00 0.00 O +ATOM 654 CB ALA A 46 -46.692 -51.404 17.094 1.00 0.00 C +ATOM 655 H ALA A 46 -44.886 -53.508 17.403 1.00 0.00 H +ATOM 656 HA ALA A 46 -47.694 -53.181 16.426 1.00 0.00 H +ATOM 657 HB1 ALA A 46 -47.308 -50.741 16.469 1.00 0.00 H +ATOM 658 HB2 ALA A 46 -47.121 -51.458 18.105 1.00 0.00 H +ATOM 659 HB3 ALA A 46 -45.668 -51.007 17.151 1.00 0.00 H +ATOM 660 N VAL A 47 -46.960 -52.945 14.078 1.00 0.00 N +ATOM 661 CA VAL A 47 -46.550 -53.001 12.682 1.00 0.00 C +ATOM 662 C VAL A 47 -47.444 -52.074 11.870 1.00 0.00 C +ATOM 663 O VAL A 47 -48.653 -51.990 12.120 1.00 0.00 O +ATOM 664 CB VAL A 47 -46.601 -54.442 12.127 1.00 0.00 C +ATOM 665 CG1 VAL A 47 -45.778 -55.385 12.996 1.00 0.00 C +ATOM 666 CG2 VAL A 47 -48.034 -54.945 12.011 1.00 0.00 C +ATOM 667 H VAL A 47 -47.929 -53.051 14.299 1.00 0.00 H +ATOM 668 HA VAL A 47 -45.514 -52.641 12.597 1.00 0.00 H +ATOM 669 HB VAL A 47 -46.159 -54.432 11.120 1.00 0.00 H +ATOM 670 HG11 VAL A 47 -45.829 -56.403 12.583 1.00 0.00 H +ATOM 671 HG12 VAL A 47 -44.731 -55.048 13.013 1.00 0.00 H +ATOM 672 HG13 VAL A 47 -46.180 -55.384 14.020 1.00 0.00 H +ATOM 673 HG21 VAL A 47 -48.032 -55.971 11.614 1.00 0.00 H +ATOM 674 HG22 VAL A 47 -48.507 -54.937 13.004 1.00 0.00 H +ATOM 675 HG23 VAL A 47 -48.599 -54.290 11.331 1.00 0.00 H +ATOM 676 N GLY A 48 -46.847 -51.367 10.912 1.00 0.00 N +ATOM 677 CA GLY A 48 -47.617 -50.570 9.981 1.00 0.00 C +ATOM 678 C GLY A 48 -48.602 -51.445 9.234 1.00 0.00 C +ATOM 679 O GLY A 48 -48.236 -52.518 8.743 1.00 0.00 O +ATOM 680 H GLY A 48 -45.850 -51.387 10.835 1.00 0.00 H +ATOM 681 HA2 GLY A 48 -48.167 -49.795 10.535 1.00 0.00 H +ATOM 682 HA3 GLY A 48 -46.936 -50.093 9.261 1.00 0.00 H +ATOM 683 N ALA A 49 -49.864 -51.015 9.158 1.00 0.00 N +ATOM 684 CA ALA A 49 -50.880 -51.849 8.528 1.00 0.00 C +ATOM 685 C ALA A 49 -51.815 -51.032 7.643 1.00 0.00 C +ATOM 686 O ALA A 49 -52.943 -51.464 7.373 1.00 0.00 O +ATOM 687 CB ALA A 49 -51.676 -52.618 9.581 1.00 0.00 C +ATOM 688 H ALA A 49 -50.112 -50.122 9.533 1.00 0.00 H +ATOM 689 HA ALA A 49 -50.376 -52.588 7.887 1.00 0.00 H +ATOM 690 HB1 ALA A 49 -52.436 -53.240 9.085 1.00 0.00 H +ATOM 691 HB2 ALA A 49 -50.995 -53.261 10.158 1.00 0.00 H +ATOM 692 HB3 ALA A 49 -52.170 -51.906 10.259 1.00 0.00 H +ATOM 693 N ALA A 50 -51.371 -49.864 7.203 1.00 0.00 N +ATOM 694 CA ALA A 50 -52.081 -49.028 6.247 1.00 0.00 C +ATOM 695 C ALA A 50 -51.038 -48.187 5.528 1.00 0.00 C +ATOM 696 O ALA A 50 -49.929 -48.009 6.037 1.00 0.00 O +ATOM 697 CB ALA A 50 -53.119 -48.139 6.941 1.00 0.00 C +ATOM 698 H ALA A 50 -50.492 -49.536 7.550 1.00 0.00 H +ATOM 699 HA ALA A 50 -52.596 -49.662 5.510 1.00 0.00 H +ATOM 700 HB1 ALA A 50 -53.635 -47.522 6.190 1.00 0.00 H +ATOM 701 HB2 ALA A 50 -53.852 -48.771 7.463 1.00 0.00 H +ATOM 702 HB3 ALA A 50 -52.614 -47.486 7.668 1.00 0.00 H +ATOM 703 N PRO A 51 -51.350 -47.690 4.330 1.00 0.00 N +ATOM 704 CA PRO A 51 -50.343 -46.928 3.580 1.00 0.00 C +ATOM 705 C PRO A 51 -49.851 -45.709 4.347 1.00 0.00 C +ATOM 706 O PRO A 51 -50.550 -45.146 5.192 1.00 0.00 O +ATOM 707 CB PRO A 51 -51.086 -46.526 2.301 1.00 0.00 C +ATOM 708 CG PRO A 51 -52.127 -47.584 2.133 1.00 0.00 C +ATOM 709 CD PRO A 51 -52.553 -47.953 3.524 1.00 0.00 C +ATOM 710 HA PRO A 51 -49.489 -47.572 3.322 1.00 0.00 H +ATOM 711 HB2 PRO A 51 -51.551 -45.536 2.415 1.00 0.00 H +ATOM 712 HB3 PRO A 51 -50.401 -46.512 1.440 1.00 0.00 H +ATOM 713 HG2 PRO A 51 -52.981 -47.195 1.560 1.00 0.00 H +ATOM 714 HG3 PRO A 51 -51.706 -48.458 1.615 1.00 0.00 H +ATOM 715 HD2 PRO A 51 -53.394 -47.327 3.857 1.00 0.00 H +ATOM 716 HD3 PRO A 51 -52.840 -49.014 3.579 1.00 0.00 H +ATOM 717 N HIS A 52 -48.611 -45.316 4.042 1.00 0.00 N +ATOM 718 CA HIS A 52 -47.939 -44.185 4.662 1.00 0.00 C +ATOM 719 C HIS A 52 -46.787 -43.824 3.742 1.00 0.00 C +ATOM 720 O HIS A 52 -46.141 -44.734 3.205 1.00 0.00 O +ATOM 721 CB HIS A 52 -47.423 -44.522 6.068 1.00 0.00 C +ATOM 722 CG HIS A 52 -46.993 -43.327 6.863 1.00 0.00 C +ATOM 723 ND1 HIS A 52 -45.739 -42.765 6.747 1.00 0.00 N +ATOM 724 CD2 HIS A 52 -47.648 -42.594 7.794 1.00 0.00 C +ATOM 725 CE1 HIS A 52 -45.644 -41.734 7.568 1.00 0.00 C +ATOM 726 NE2 HIS A 52 -46.788 -41.610 8.216 1.00 0.00 N +ATOM 727 H HIS A 52 -48.114 -45.832 3.344 1.00 0.00 H +ATOM 728 HA HIS A 52 -48.627 -43.330 4.730 1.00 0.00 H +ATOM 729 HB2 HIS A 52 -48.227 -45.032 6.618 1.00 0.00 H +ATOM 730 HB3 HIS A 52 -46.561 -45.198 5.967 1.00 0.00 H +ATOM 731 HD2 HIS A 52 -48.659 -42.753 8.140 1.00 0.00 H +ATOM 732 HE1 HIS A 52 -44.778 -41.100 7.689 1.00 0.00 H +ATOM 733 HE2 HIS A 52 -46.994 -40.913 8.903 1.00 0.00 H +ATOM 734 N PRO A 53 -46.511 -42.538 3.525 1.00 0.00 N +ATOM 735 CA PRO A 53 -45.452 -42.169 2.567 1.00 0.00 C +ATOM 736 C PRO A 53 -44.086 -42.747 2.896 1.00 0.00 C +ATOM 737 O PRO A 53 -43.277 -42.944 1.981 1.00 0.00 O +ATOM 738 CB PRO A 53 -45.444 -40.633 2.627 1.00 0.00 C +ATOM 739 CG PRO A 53 -46.203 -40.272 3.877 1.00 0.00 C +ATOM 740 CD PRO A 53 -47.204 -41.361 4.069 1.00 0.00 C +ATOM 741 HA PRO A 53 -45.742 -42.484 1.554 1.00 0.00 H +ATOM 742 HB2 PRO A 53 -44.412 -40.256 2.682 1.00 0.00 H +ATOM 743 HB3 PRO A 53 -45.941 -40.212 1.741 1.00 0.00 H +ATOM 744 HG2 PRO A 53 -45.521 -40.221 4.739 1.00 0.00 H +ATOM 745 HG3 PRO A 53 -46.709 -39.303 3.752 1.00 0.00 H +ATOM 746 HD2 PRO A 53 -47.442 -41.498 5.134 1.00 0.00 H +ATOM 747 HD3 PRO A 53 -48.129 -41.152 3.511 1.00 0.00 H +ATOM 748 N PHE A 54 -43.800 -43.035 4.162 1.00 0.00 N +ATOM 749 CA PHE A 54 -42.495 -43.574 4.525 1.00 0.00 C +ATOM 750 C PHE A 54 -42.455 -45.097 4.542 1.00 0.00 C +ATOM 751 O PHE A 54 -41.368 -45.670 4.682 1.00 0.00 O +ATOM 752 CB PHE A 54 -42.061 -43.046 5.894 1.00 0.00 C +ATOM 753 CG PHE A 54 -42.007 -41.546 5.983 1.00 0.00 C +ATOM 754 CD1 PHE A 54 -41.821 -40.763 4.851 1.00 0.00 C +ATOM 755 CD2 PHE A 54 -42.145 -40.918 7.209 1.00 0.00 C +ATOM 756 CE1 PHE A 54 -41.776 -39.382 4.945 1.00 0.00 C +ATOM 757 CE2 PHE A 54 -42.100 -39.539 7.307 1.00 0.00 C +ATOM 758 CZ PHE A 54 -41.914 -38.772 6.177 1.00 0.00 C +ATOM 759 H PHE A 54 -44.487 -42.880 4.872 1.00 0.00 H +ATOM 760 HA PHE A 54 -41.757 -43.229 3.786 1.00 0.00 H +ATOM 761 HB2 PHE A 54 -42.774 -43.412 6.648 1.00 0.00 H +ATOM 762 HB3 PHE A 54 -41.059 -43.442 6.115 1.00 0.00 H +ATOM 763 HD1 PHE A 54 -41.710 -41.236 3.887 1.00 0.00 H +ATOM 764 HD2 PHE A 54 -42.290 -41.512 8.099 1.00 0.00 H +ATOM 765 HE1 PHE A 54 -41.633 -38.783 4.057 1.00 0.00 H +ATOM 766 HE2 PHE A 54 -42.211 -39.063 8.270 1.00 0.00 H +ATOM 767 HZ PHE A 54 -41.876 -37.695 6.254 1.00 0.00 H +ATOM 768 N LEU A 55 -43.601 -45.762 4.410 1.00 0.00 N +ATOM 769 CA LEU A 55 -43.674 -47.219 4.401 1.00 0.00 C +ATOM 770 C LEU A 55 -43.800 -47.707 2.963 1.00 0.00 C +ATOM 771 O LEU A 55 -44.709 -47.286 2.239 1.00 0.00 O +ATOM 772 CB LEU A 55 -44.863 -47.721 5.221 1.00 0.00 C +ATOM 773 CG LEU A 55 -44.996 -47.413 6.711 1.00 0.00 C +ATOM 774 CD1 LEU A 55 -46.285 -48.024 7.241 1.00 0.00 C +ATOM 775 CD2 LEU A 55 -43.799 -47.933 7.490 1.00 0.00 C +ATOM 776 H LEU A 55 -44.448 -45.240 4.313 1.00 0.00 H +ATOM 777 HA LEU A 55 -42.751 -47.634 4.833 1.00 0.00 H +ATOM 778 HB2 LEU A 55 -45.765 -47.315 4.739 1.00 0.00 H +ATOM 779 HB3 LEU A 55 -44.861 -48.817 5.130 1.00 0.00 H +ATOM 780 HG LEU A 55 -45.049 -46.322 6.838 1.00 0.00 H +ATOM 781 HD11 LEU A 55 -46.382 -47.803 8.314 1.00 0.00 H +ATOM 782 HD12 LEU A 55 -47.142 -47.597 6.700 1.00 0.00 H +ATOM 783 HD13 LEU A 55 -46.263 -49.114 7.092 1.00 0.00 H +ATOM 784 HD21 LEU A 55 -43.924 -47.696 8.557 1.00 0.00 H +ATOM 785 HD22 LEU A 55 -43.724 -49.023 7.363 1.00 0.00 H +ATOM 786 HD23 LEU A 55 -42.882 -47.456 7.114 1.00 0.00 H +ATOM 787 N HIS A 56 -42.899 -48.600 2.553 1.00 0.00 N +ATOM 788 CA HIS A 56 -42.996 -49.219 1.238 1.00 0.00 C +ATOM 789 C HIS A 56 -43.656 -50.592 1.276 1.00 0.00 C +ATOM 790 O HIS A 56 -43.866 -51.193 0.216 1.00 0.00 O +ATOM 791 CB HIS A 56 -41.610 -49.316 0.594 1.00 0.00 C +ATOM 792 CG HIS A 56 -41.079 -47.998 0.121 1.00 0.00 C +ATOM 793 ND1 HIS A 56 -39.844 -47.514 0.495 1.00 0.00 N +ATOM 794 CD2 HIS A 56 -41.620 -47.060 -0.693 1.00 0.00 C +ATOM 795 CE1 HIS A 56 -39.647 -46.335 -0.068 1.00 0.00 C +ATOM 796 NE2 HIS A 56 -40.709 -46.037 -0.794 1.00 0.00 N +ATOM 797 H HIS A 56 -42.143 -48.849 3.159 1.00 0.00 H +ATOM 798 HA HIS A 56 -43.613 -48.573 0.596 1.00 0.00 H +ATOM 799 HB2 HIS A 56 -40.910 -49.728 1.335 1.00 0.00 H +ATOM 800 HB3 HIS A 56 -41.673 -49.996 -0.268 1.00 0.00 H +ATOM 801 HD1 HIS A 56 -39.198 -47.982 1.098 1.00 0.00 H +ATOM 802 HD2 HIS A 56 -42.586 -47.108 -1.173 1.00 0.00 H +ATOM 803 HE1 HIS A 56 -38.767 -45.720 0.046 1.00 0.00 H +ATOM 804 N ARG A 57 -43.984 -51.092 2.465 1.00 0.00 N +ATOM 805 CA ARG A 57 -44.830 -52.264 2.624 1.00 0.00 C +ATOM 806 C ARG A 57 -45.474 -52.190 3.999 1.00 0.00 C +ATOM 807 O ARG A 57 -45.005 -51.470 4.884 1.00 0.00 O +ATOM 808 CB ARG A 57 -44.042 -53.569 2.442 1.00 0.00 C +ATOM 809 CG ARG A 57 -42.815 -53.690 3.326 1.00 0.00 C +ATOM 810 CD ARG A 57 -41.992 -54.919 2.967 1.00 0.00 C +ATOM 811 NE ARG A 57 -40.767 -54.999 3.759 1.00 0.00 N +ATOM 812 CZ ARG A 57 -39.822 -55.920 3.590 1.00 0.00 C +ATOM 813 NH1 ARG A 57 -39.958 -56.848 2.651 1.00 0.00 N +ATOM 814 NH2 ARG A 57 -38.740 -55.911 4.359 1.00 0.00 N1+ +ATOM 815 H ARG A 57 -43.633 -50.641 3.286 1.00 0.00 H +ATOM 816 HA ARG A 57 -45.628 -52.238 1.867 1.00 0.00 H +ATOM 817 HB2 ARG A 57 -44.713 -54.410 2.669 1.00 0.00 H +ATOM 818 HB3 ARG A 57 -43.717 -53.631 1.393 1.00 0.00 H +ATOM 819 HG2 ARG A 57 -42.192 -52.792 3.199 1.00 0.00 H +ATOM 820 HG3 ARG A 57 -43.136 -53.768 4.375 1.00 0.00 H +ATOM 821 HD2 ARG A 57 -42.596 -55.819 3.153 1.00 0.00 H +ATOM 822 HD3 ARG A 57 -41.725 -54.870 1.901 1.00 0.00 H +ATOM 823 HE ARG A 57 -40.630 -54.316 4.476 1.00 0.00 H +ATOM 824 HH11 ARG A 57 -39.246 -57.539 2.524 1.00 0.00 H +ATOM 825 HH12 ARG A 57 -40.772 -56.856 2.071 1.00 0.00 H +ATOM 826 HH21 ARG A 57 -38.029 -56.603 4.230 1.00 0.00 H +ATOM 827 HH22 ARG A 57 -38.636 -55.213 5.067 1.00 0.00 H +ATOM 828 N TYR A 58 -46.567 -52.928 4.168 1.00 0.00 N +ATOM 829 CA TYR A 58 -47.274 -52.913 5.441 1.00 0.00 C +ATOM 830 C TYR A 58 -48.071 -54.200 5.600 1.00 0.00 C +ATOM 831 O TYR A 58 -48.228 -54.981 4.658 1.00 0.00 O +ATOM 832 CB TYR A 58 -48.178 -51.677 5.572 1.00 0.00 C +ATOM 833 CG TYR A 58 -49.232 -51.535 4.496 1.00 0.00 C +ATOM 834 CD1 TYR A 58 -50.497 -52.079 4.663 1.00 0.00 C +ATOM 835 CD2 TYR A 58 -48.970 -50.841 3.322 1.00 0.00 C +ATOM 836 CE1 TYR A 58 -51.467 -51.949 3.688 1.00 0.00 C +ATOM 837 CE2 TYR A 58 -49.938 -50.704 2.339 1.00 0.00 C +ATOM 838 CZ TYR A 58 -51.184 -51.262 2.529 1.00 0.00 C +ATOM 839 OH TYR A 58 -52.151 -51.131 1.557 1.00 0.00 O +ATOM 840 H TYR A 58 -46.905 -53.496 3.418 1.00 0.00 H +ATOM 841 HA TYR A 58 -46.534 -52.873 6.254 1.00 0.00 H +ATOM 842 HB2 TYR A 58 -48.689 -51.730 6.545 1.00 0.00 H +ATOM 843 HB3 TYR A 58 -47.538 -50.783 5.543 1.00 0.00 H +ATOM 844 HD1 TYR A 58 -50.728 -52.614 5.572 1.00 0.00 H +ATOM 845 HD2 TYR A 58 -47.995 -50.400 3.172 1.00 0.00 H +ATOM 846 HE1 TYR A 58 -52.444 -52.385 3.835 1.00 0.00 H +ATOM 847 HE2 TYR A 58 -49.717 -50.164 1.430 1.00 0.00 H +ATOM 848 HH TYR A 58 -51.738 -51.085 0.703 1.00 0.00 H +ATOM 849 N TYR A 59 -48.563 -54.406 6.818 1.00 0.00 N +ATOM 850 CA TYR A 59 -49.293 -55.615 7.177 1.00 0.00 C +ATOM 851 C TYR A 59 -50.707 -55.545 6.615 1.00 0.00 C +ATOM 852 O TYR A 59 -51.491 -54.666 6.992 1.00 0.00 O +ATOM 853 CB TYR A 59 -49.305 -55.752 8.698 1.00 0.00 C +ATOM 854 CG TYR A 59 -50.098 -56.899 9.291 1.00 0.00 C +ATOM 855 CD1 TYR A 59 -50.202 -58.122 8.648 1.00 0.00 C +ATOM 856 CD2 TYR A 59 -50.723 -56.754 10.522 1.00 0.00 C +ATOM 857 CE1 TYR A 59 -50.920 -59.167 9.214 1.00 0.00 C +ATOM 858 CE2 TYR A 59 -51.437 -57.787 11.091 1.00 0.00 C +ATOM 859 CZ TYR A 59 -51.537 -58.991 10.434 1.00 0.00 C +ATOM 860 OH TYR A 59 -52.253 -60.017 11.004 1.00 0.00 O +ATOM 861 H TYR A 59 -48.426 -53.703 7.516 1.00 0.00 H +ATOM 862 HA TYR A 59 -48.786 -56.492 6.749 1.00 0.00 H +ATOM 863 HB2 TYR A 59 -48.262 -55.868 9.027 1.00 0.00 H +ATOM 864 HB3 TYR A 59 -49.717 -54.819 9.110 1.00 0.00 H +ATOM 865 HD1 TYR A 59 -49.718 -58.264 7.693 1.00 0.00 H +ATOM 866 HD2 TYR A 59 -50.648 -55.812 11.045 1.00 0.00 H +ATOM 867 HE1 TYR A 59 -50.995 -60.114 8.700 1.00 0.00 H +ATOM 868 HE2 TYR A 59 -51.916 -57.651 12.049 1.00 0.00 H +ATOM 869 HH TYR A 59 -52.229 -60.776 10.433 1.00 0.00 H +ATOM 870 N GLN A 60 -51.035 -56.458 5.709 1.00 0.00 N +ATOM 871 CA GLN A 60 -52.357 -56.496 5.083 1.00 0.00 C +ATOM 872 C GLN A 60 -53.148 -57.634 5.718 1.00 0.00 C +ATOM 873 O GLN A 60 -52.996 -58.799 5.342 1.00 0.00 O +ATOM 874 CB GLN A 60 -52.241 -56.661 3.573 1.00 0.00 C +ATOM 875 CG GLN A 60 -51.624 -55.467 2.860 1.00 0.00 C +ATOM 876 CD GLN A 60 -51.635 -55.635 1.357 1.00 0.00 C +ATOM 877 OE1 GLN A 60 -52.494 -55.089 0.666 1.00 0.00 O +ATOM 878 NE2 GLN A 60 -50.686 -56.405 0.842 1.00 0.00 N +ATOM 879 H GLN A 60 -50.356 -57.143 5.445 1.00 0.00 H +ATOM 880 HA GLN A 60 -52.882 -55.551 5.290 1.00 0.00 H +ATOM 881 HB2 GLN A 60 -51.618 -57.544 3.369 1.00 0.00 H +ATOM 882 HB3 GLN A 60 -53.250 -56.823 3.165 1.00 0.00 H +ATOM 883 HG2 GLN A 60 -52.196 -54.564 3.120 1.00 0.00 H +ATOM 884 HG3 GLN A 60 -50.583 -55.352 3.197 1.00 0.00 H +ATOM 885 HE21 GLN A 60 -50.649 -56.561 -0.145 1.00 0.00 H +ATOM 886 HE22 GLN A 60 -50.007 -56.830 1.441 1.00 0.00 H +ATOM 887 N ARG A 61 -53.997 -57.289 6.688 1.00 0.00 N +ATOM 888 CA ARG A 61 -54.701 -58.310 7.455 1.00 0.00 C +ATOM 889 C ARG A 61 -55.684 -59.096 6.600 1.00 0.00 C +ATOM 890 O ARG A 61 -55.939 -60.272 6.879 1.00 0.00 O +ATOM 891 CB ARG A 61 -55.422 -57.665 8.635 1.00 0.00 C +ATOM 892 CG ARG A 61 -54.485 -57.095 9.685 1.00 0.00 C +ATOM 893 CD ARG A 61 -55.194 -56.096 10.582 1.00 0.00 C +ATOM 894 NE ARG A 61 -55.442 -54.828 9.903 1.00 0.00 N +ATOM 895 CZ ARG A 61 -56.206 -53.856 10.391 1.00 0.00 C +ATOM 896 NH1 ARG A 61 -56.805 -54.006 11.564 1.00 0.00 N +ATOM 897 NH2 ARG A 61 -56.376 -52.735 9.703 1.00 0.00 N1+ +ATOM 898 H ARG A 61 -54.152 -56.322 6.891 1.00 0.00 H +ATOM 899 HA ARG A 61 -53.963 -59.019 7.858 1.00 0.00 H +ATOM 900 HB2 ARG A 61 -56.053 -56.849 8.253 1.00 0.00 H +ATOM 901 HB3 ARG A 61 -56.057 -58.426 9.112 1.00 0.00 H +ATOM 902 HG2 ARG A 61 -54.098 -57.918 10.303 1.00 0.00 H +ATOM 903 HG3 ARG A 61 -53.648 -56.591 9.181 1.00 0.00 H +ATOM 904 HD2 ARG A 61 -56.157 -56.524 10.898 1.00 0.00 H +ATOM 905 HD3 ARG A 61 -54.569 -55.908 11.467 1.00 0.00 H +ATOM 906 HE ARG A 61 -55.009 -54.681 9.014 1.00 0.00 H +ATOM 907 HH11 ARG A 61 -57.383 -53.275 11.927 1.00 0.00 H +ATOM 908 HH12 ARG A 61 -56.679 -54.850 12.085 1.00 0.00 H +ATOM 909 HH21 ARG A 61 -56.954 -52.006 10.069 1.00 0.00 H +ATOM 910 HH22 ARG A 61 -55.926 -52.618 8.818 1.00 0.00 H +ATOM 911 N GLN A 62 -56.234 -58.483 5.551 1.00 0.00 N +ATOM 912 CA GLN A 62 -57.235 -59.185 4.757 1.00 0.00 C +ATOM 913 C GLN A 62 -56.630 -60.294 3.904 1.00 0.00 C +ATOM 914 O GLN A 62 -57.374 -61.137 3.393 1.00 0.00 O +ATOM 915 CB GLN A 62 -58.001 -58.201 3.869 1.00 0.00 C +ATOM 916 CG GLN A 62 -57.247 -57.750 2.633 1.00 0.00 C +ATOM 917 CD GLN A 62 -56.247 -56.649 2.918 1.00 0.00 C +ATOM 918 OE1 GLN A 62 -55.920 -56.365 4.073 1.00 0.00 O +ATOM 919 NE2 GLN A 62 -55.755 -56.019 1.861 1.00 0.00 N +ATOM 920 H GLN A 62 -55.962 -57.551 5.311 1.00 0.00 H +ATOM 921 HA GLN A 62 -57.960 -59.649 5.441 1.00 0.00 H +ATOM 922 HB2 GLN A 62 -58.934 -58.686 3.545 1.00 0.00 H +ATOM 923 HB3 GLN A 62 -58.240 -57.311 4.469 1.00 0.00 H +ATOM 924 HG2 GLN A 62 -56.708 -58.614 2.217 1.00 0.00 H +ATOM 925 HG3 GLN A 62 -57.974 -57.381 1.895 1.00 0.00 H +ATOM 926 HE21 GLN A 62 -55.091 -55.281 1.983 1.00 0.00 H +ATOM 927 HE22 GLN A 62 -56.048 -56.281 0.942 1.00 0.00 H +ATOM 928 N LEU A 63 -55.310 -60.316 3.740 1.00 0.00 N +ATOM 929 CA LEU A 63 -54.642 -61.370 2.988 1.00 0.00 C +ATOM 930 C LEU A 63 -54.132 -62.503 3.868 1.00 0.00 C +ATOM 931 O LEU A 63 -53.494 -63.426 3.353 1.00 0.00 O +ATOM 932 CB LEU A 63 -53.468 -60.799 2.185 1.00 0.00 C +ATOM 933 CG LEU A 63 -53.724 -59.713 1.141 1.00 0.00 C +ATOM 934 CD1 LEU A 63 -52.466 -59.480 0.317 1.00 0.00 C +ATOM 935 CD2 LEU A 63 -54.896 -60.084 0.248 1.00 0.00 C +ATOM 936 H LEU A 63 -54.759 -59.586 4.146 1.00 0.00 H +ATOM 937 HA LEU A 63 -55.359 -61.798 2.272 1.00 0.00 H +ATOM 938 HB2 LEU A 63 -52.757 -60.381 2.913 1.00 0.00 H +ATOM 939 HB3 LEU A 63 -53.000 -61.644 1.659 1.00 0.00 H +ATOM 940 HG LEU A 63 -53.971 -58.779 1.668 1.00 0.00 H +ATOM 941 HD11 LEU A 63 -52.657 -58.697 -0.432 1.00 0.00 H +ATOM 942 HD12 LEU A 63 -51.648 -59.161 0.979 1.00 0.00 H +ATOM 943 HD13 LEU A 63 -52.183 -60.413 -0.192 1.00 0.00 H +ATOM 944 HD21 LEU A 63 -55.059 -59.288 -0.493 1.00 0.00 H +ATOM 945 HD22 LEU A 63 -54.677 -61.029 -0.271 1.00 0.00 H +ATOM 946 HD23 LEU A 63 -55.801 -60.204 0.862 1.00 0.00 H +ATOM 947 N SER A 64 -54.391 -62.464 5.169 1.00 0.00 N +ATOM 948 CA SER A 64 -53.883 -63.471 6.091 1.00 0.00 C +ATOM 949 C SER A 64 -55.026 -64.351 6.574 1.00 0.00 C +ATOM 950 O SER A 64 -55.944 -63.870 7.245 1.00 0.00 O +ATOM 951 CB SER A 64 -53.175 -62.826 7.280 1.00 0.00 C +ATOM 952 OG SER A 64 -52.932 -63.797 8.279 1.00 0.00 O +ATOM 953 H SER A 64 -54.953 -61.719 5.528 1.00 0.00 H +ATOM 954 HA SER A 64 -53.157 -64.108 5.564 1.00 0.00 H +ATOM 955 HB2 SER A 64 -52.218 -62.398 6.947 1.00 0.00 H +ATOM 956 HB3 SER A 64 -53.809 -62.028 7.693 1.00 0.00 H +ATOM 957 HG SER A 64 -52.833 -63.368 9.121 1.00 0.00 H +ATOM 958 N SER A 65 -54.950 -65.642 6.251 1.00 0.00 N +ATOM 959 CA SER A 65 -55.974 -66.585 6.677 1.00 0.00 C +ATOM 960 C SER A 65 -55.940 -66.852 8.176 1.00 0.00 C +ATOM 961 O SER A 65 -56.924 -67.366 8.718 1.00 0.00 O +ATOM 962 CB SER A 65 -55.816 -67.899 5.914 1.00 0.00 C +ATOM 963 OG SER A 65 -54.546 -68.480 6.168 1.00 0.00 O +ATOM 964 H SER A 65 -54.177 -65.968 5.707 1.00 0.00 H +ATOM 965 HA SER A 65 -56.962 -66.169 6.430 1.00 0.00 H +ATOM 966 HB2 SER A 65 -56.603 -68.598 6.233 1.00 0.00 H +ATOM 967 HB3 SER A 65 -55.914 -67.704 4.836 1.00 0.00 H +ATOM 968 HG SER A 65 -54.539 -68.858 7.040 1.00 0.00 H +ATOM 969 N THR A 66 -54.841 -66.525 8.855 1.00 0.00 N +ATOM 970 CA THR A 66 -54.704 -66.775 10.284 1.00 0.00 C +ATOM 971 C THR A 66 -54.945 -65.538 11.140 1.00 0.00 C +ATOM 972 O THR A 66 -54.773 -65.602 12.361 1.00 0.00 O +ATOM 973 CB THR A 66 -53.315 -67.354 10.589 1.00 0.00 C +ATOM 974 OG1 THR A 66 -52.325 -66.652 9.827 1.00 0.00 O +ATOM 975 CG2 THR A 66 -53.273 -68.834 10.237 1.00 0.00 C +ATOM 976 H THR A 66 -54.083 -66.093 8.366 1.00 0.00 H +ATOM 977 HA THR A 66 -55.447 -67.531 10.577 1.00 0.00 H +ATOM 978 HB THR A 66 -53.114 -67.239 11.664 1.00 0.00 H +ATOM 979 HG1 THR A 66 -52.075 -65.859 10.286 1.00 0.00 H +ATOM 980 HG21 THR A 66 -52.274 -69.236 10.460 1.00 0.00 H +ATOM 981 HG22 THR A 66 -54.026 -69.373 10.830 1.00 0.00 H +ATOM 982 HG23 THR A 66 -53.489 -68.962 9.166 1.00 0.00 H +ATOM 983 N TYR A 67 -55.345 -64.425 10.536 1.00 0.00 N +ATOM 984 CA TYR A 67 -55.605 -63.210 11.295 1.00 0.00 C +ATOM 985 C TYR A 67 -56.870 -63.355 12.131 1.00 0.00 C +ATOM 986 O TYR A 67 -57.869 -63.924 11.682 1.00 0.00 O +ATOM 987 CB TYR A 67 -55.733 -62.016 10.347 1.00 0.00 C +ATOM 988 CG TYR A 67 -56.384 -60.794 10.958 1.00 0.00 C +ATOM 989 CD1 TYR A 67 -55.680 -59.970 11.825 1.00 0.00 C +ATOM 990 CD2 TYR A 67 -57.696 -60.451 10.649 1.00 0.00 C +ATOM 991 CE1 TYR A 67 -56.266 -58.851 12.381 1.00 0.00 C +ATOM 992 CE2 TYR A 67 -58.292 -59.330 11.201 1.00 0.00 C +ATOM 993 CZ TYR A 67 -57.570 -58.532 12.065 1.00 0.00 C +ATOM 994 OH TYR A 67 -58.141 -57.411 12.624 1.00 0.00 O +ATOM 995 H TYR A 67 -55.470 -64.421 9.544 1.00 0.00 H +ATOM 996 HA TYR A 67 -54.761 -63.021 11.975 1.00 0.00 H +ATOM 997 HB2 TYR A 67 -54.724 -61.735 10.010 1.00 0.00 H +ATOM 998 HB3 TYR A 67 -56.335 -62.328 9.481 1.00 0.00 H +ATOM 999 HD1 TYR A 67 -54.655 -60.209 12.069 1.00 0.00 H +ATOM 1000 HD2 TYR A 67 -58.260 -61.070 9.967 1.00 0.00 H +ATOM 1001 HE1 TYR A 67 -55.705 -58.227 13.061 1.00 0.00 H +ATOM 1002 HE2 TYR A 67 -59.314 -59.082 10.957 1.00 0.00 H +ATOM 1003 HH TYR A 67 -59.009 -57.282 12.259 1.00 0.00 H +ATOM 1004 N ARG A 68 -56.824 -62.837 13.358 1.00 0.00 N +ATOM 1005 CA ARG A 68 -57.989 -62.798 14.235 1.00 0.00 C +ATOM 1006 C ARG A 68 -58.112 -61.405 14.832 1.00 0.00 C +ATOM 1007 O ARG A 68 -57.197 -60.933 15.515 1.00 0.00 O +ATOM 1008 CB ARG A 68 -57.900 -63.857 15.336 1.00 0.00 C +ATOM 1009 CG ARG A 68 -57.932 -65.286 14.804 1.00 0.00 C +ATOM 1010 CD ARG A 68 -58.039 -66.307 15.924 1.00 0.00 C +ATOM 1011 NE ARG A 68 -57.634 -67.640 15.484 1.00 0.00 N +ATOM 1012 CZ ARG A 68 -58.410 -68.717 15.523 1.00 0.00 C +ATOM 1013 NH1 ARG A 68 -59.646 -68.633 15.991 1.00 0.00 N +ATOM 1014 NH2 ARG A 68 -57.942 -69.884 15.103 1.00 0.00 N1+ +ATOM 1015 H ARG A 68 -55.959 -62.461 13.690 1.00 0.00 H +ATOM 1016 HA ARG A 68 -58.892 -62.998 13.640 1.00 0.00 H +ATOM 1017 HB2 ARG A 68 -56.959 -63.710 15.886 1.00 0.00 H +ATOM 1018 HB3 ARG A 68 -58.750 -63.721 16.021 1.00 0.00 H +ATOM 1019 HG2 ARG A 68 -58.800 -65.398 14.137 1.00 0.00 H +ATOM 1020 HG3 ARG A 68 -57.008 -65.475 14.238 1.00 0.00 H +ATOM 1021 HD2 ARG A 68 -57.389 -65.994 16.755 1.00 0.00 H +ATOM 1022 HD3 ARG A 68 -59.082 -66.348 16.270 1.00 0.00 H +ATOM 1023 HE ARG A 68 -56.706 -67.749 15.128 1.00 0.00 H +ATOM 1024 HH11 ARG A 68 -60.224 -69.449 16.027 1.00 0.00 H +ATOM 1025 HH12 ARG A 68 -60.002 -67.754 16.309 1.00 0.00 H +ATOM 1026 HH21 ARG A 68 -58.522 -70.698 15.140 1.00 0.00 H +ATOM 1027 HH22 ARG A 68 -57.009 -69.951 14.749 1.00 0.00 H +ATOM 1028 N ASP A 69 -59.241 -60.753 14.562 1.00 0.00 N +ATOM 1029 CA ASP A 69 -59.491 -59.396 15.031 1.00 0.00 C +ATOM 1030 C ASP A 69 -59.889 -59.424 16.501 1.00 0.00 C +ATOM 1031 O ASP A 69 -60.880 -60.064 16.865 1.00 0.00 O +ATOM 1032 CB ASP A 69 -60.590 -58.763 14.176 1.00 0.00 C +ATOM 1033 CG ASP A 69 -60.807 -57.287 14.471 1.00 0.00 C +ATOM 1034 OD1 ASP A 69 -60.238 -56.756 15.450 1.00 0.00 O +ATOM 1035 OD2 ASP A 69 -61.556 -56.648 13.703 1.00 0.00 O1- +ATOM 1036 H ASP A 69 -59.943 -61.211 14.017 1.00 0.00 H +ATOM 1037 HA ASP A 69 -58.575 -58.796 14.926 1.00 0.00 H +ATOM 1038 HB2 ASP A 69 -60.313 -58.870 13.117 1.00 0.00 H +ATOM 1039 HB3 ASP A 69 -61.532 -59.299 14.365 1.00 0.00 H +ATOM 1040 N LEU A 70 -59.120 -58.732 17.349 1.00 0.00 N +ATOM 1041 CA LEU A 70 -59.461 -58.639 18.764 1.00 0.00 C +ATOM 1042 C LEU A 70 -60.504 -57.566 19.052 1.00 0.00 C +ATOM 1043 O LEU A 70 -60.984 -57.482 20.189 1.00 0.00 O +ATOM 1044 CB LEU A 70 -58.198 -58.388 19.596 1.00 0.00 C +ATOM 1045 CG LEU A 70 -57.362 -59.618 19.961 1.00 0.00 C +ATOM 1046 CD1 LEU A 70 -55.950 -59.214 20.383 1.00 0.00 C +ATOM 1047 CD2 LEU A 70 -58.045 -60.407 21.066 1.00 0.00 C +ATOM 1048 H LEU A 70 -58.300 -58.272 17.008 1.00 0.00 H +ATOM 1049 HA LEU A 70 -59.881 -59.604 19.084 1.00 0.00 H +ATOM 1050 HB2 LEU A 70 -57.553 -57.703 19.025 1.00 0.00 H +ATOM 1051 HB3 LEU A 70 -58.507 -57.904 20.534 1.00 0.00 H +ATOM 1052 HG LEU A 70 -57.286 -60.260 19.071 1.00 0.00 H +ATOM 1053 HD11 LEU A 70 -55.372 -60.114 20.639 1.00 0.00 H +ATOM 1054 HD12 LEU A 70 -55.457 -58.685 19.554 1.00 0.00 H +ATOM 1055 HD13 LEU A 70 -56.005 -58.552 21.260 1.00 0.00 H +ATOM 1056 HD21 LEU A 70 -57.436 -61.287 21.319 1.00 0.00 H +ATOM 1057 HD22 LEU A 70 -58.157 -59.770 21.956 1.00 0.00 H +ATOM 1058 HD23 LEU A 70 -59.037 -60.735 20.723 1.00 0.00 H +ATOM 1059 N ARG A 71 -60.859 -56.752 18.053 1.00 0.00 N +ATOM 1060 CA ARG A 71 -61.970 -55.801 18.137 1.00 0.00 C +ATOM 1061 C ARG A 71 -61.781 -54.816 19.293 1.00 0.00 C +ATOM 1062 O ARG A 71 -62.630 -54.674 20.176 1.00 0.00 O +ATOM 1063 CB ARG A 71 -63.312 -56.537 18.247 1.00 0.00 C +ATOM 1064 CG ARG A 71 -63.645 -57.342 17.008 1.00 0.00 C +ATOM 1065 CD ARG A 71 -64.951 -58.104 17.141 1.00 0.00 C +ATOM 1066 NE ARG A 71 -65.015 -58.929 18.344 1.00 0.00 N +ATOM 1067 CZ ARG A 71 -65.992 -58.853 19.242 1.00 0.00 C +ATOM 1068 NH1 ARG A 71 -65.975 -59.637 20.311 1.00 0.00 N +ATOM 1069 NH2 ARG A 71 -66.995 -58.003 19.061 1.00 0.00 N1+ +ATOM 1070 H ARG A 71 -60.337 -56.795 17.201 1.00 0.00 H +ATOM 1071 HA ARG A 71 -61.992 -55.215 17.206 1.00 0.00 H +ATOM 1072 HB2 ARG A 71 -63.268 -57.220 19.108 1.00 0.00 H +ATOM 1073 HB3 ARG A 71 -64.108 -55.794 18.408 1.00 0.00 H +ATOM 1074 HG2 ARG A 71 -63.723 -56.655 16.152 1.00 0.00 H +ATOM 1075 HG3 ARG A 71 -62.834 -58.062 16.827 1.00 0.00 H +ATOM 1076 HD2 ARG A 71 -65.778 -57.379 17.170 1.00 0.00 H +ATOM 1077 HD3 ARG A 71 -65.066 -58.757 16.263 1.00 0.00 H +ATOM 1078 HE ARG A 71 -64.281 -59.590 18.501 1.00 0.00 H +ATOM 1079 HH11 ARG A 71 -66.717 -59.587 20.979 1.00 0.00 H +ATOM 1080 HH12 ARG A 71 -65.220 -60.278 20.449 1.00 0.00 H +ATOM 1081 HH21 ARG A 71 -67.736 -57.955 19.730 1.00 0.00 H +ATOM 1082 HH22 ARG A 71 -67.009 -57.411 18.255 1.00 0.00 H +ATOM 1083 N LYS A 72 -60.642 -54.126 19.264 1.00 0.00 N +ATOM 1084 CA LYS A 72 -60.322 -53.133 20.281 1.00 0.00 C +ATOM 1085 C LYS A 72 -59.197 -52.254 19.761 1.00 0.00 C +ATOM 1086 O LYS A 72 -58.177 -52.766 19.292 1.00 0.00 O +ATOM 1087 CB LYS A 72 -59.920 -53.803 21.600 1.00 0.00 C +ATOM 1088 CG LYS A 72 -59.433 -52.841 22.679 1.00 0.00 C +ATOM 1089 CD LYS A 72 -59.489 -53.491 24.051 1.00 0.00 C +ATOM 1090 CE LYS A 72 -60.903 -53.472 24.612 1.00 0.00 C +ATOM 1091 NZ LYS A 72 -61.330 -52.083 24.941 1.00 0.00 N1+ +ATOM 1092 H LYS A 72 -59.990 -54.294 18.525 1.00 0.00 H +ATOM 1093 HA LYS A 72 -61.204 -52.502 20.466 1.00 0.00 H +ATOM 1094 HB2 LYS A 72 -60.795 -54.343 21.991 1.00 0.00 H +ATOM 1095 HB3 LYS A 72 -59.112 -54.519 21.389 1.00 0.00 H +ATOM 1096 HG2 LYS A 72 -58.395 -52.550 22.460 1.00 0.00 H +ATOM 1097 HG3 LYS A 72 -60.072 -51.946 22.678 1.00 0.00 H +ATOM 1098 HD2 LYS A 72 -59.150 -54.534 23.968 1.00 0.00 H +ATOM 1099 HD3 LYS A 72 -58.824 -52.943 24.735 1.00 0.00 H +ATOM 1100 HE2 LYS A 72 -61.592 -53.892 23.865 1.00 0.00 H +ATOM 1101 HE3 LYS A 72 -60.936 -54.084 25.525 1.00 0.00 H +ATOM 1102 HZ1 LYS A 72 -61.976 -52.104 25.704 1.00 0.00 H +ATOM 1103 HZ2 LYS A 72 -60.530 -51.540 25.197 1.00 0.00 H +ATOM 1104 HZ3 LYS A 72 -61.770 -51.672 24.143 1.00 0.00 H +ATOM 1105 N GLY A 73 -59.390 -50.939 19.836 1.00 0.00 N +ATOM 1106 CA GLY A 73 -58.365 -50.017 19.407 1.00 0.00 C +ATOM 1107 C GLY A 73 -57.312 -49.789 20.473 1.00 0.00 C +ATOM 1108 O GLY A 73 -57.447 -50.194 21.627 1.00 0.00 O +ATOM 1109 H GLY A 73 -60.255 -50.586 20.194 1.00 0.00 H +ATOM 1110 HA2 GLY A 73 -57.877 -50.424 18.509 1.00 0.00 H +ATOM 1111 HA3 GLY A 73 -58.836 -49.053 19.163 1.00 0.00 H +ATOM 1112 N VAL A 74 -56.229 -49.137 20.066 1.00 0.00 N +ATOM 1113 CA VAL A 74 -55.183 -48.737 21.000 1.00 0.00 C +ATOM 1114 C VAL A 74 -54.548 -47.455 20.482 1.00 0.00 C +ATOM 1115 O VAL A 74 -54.338 -47.288 19.277 1.00 0.00 O +ATOM 1116 CB VAL A 74 -54.142 -49.860 21.211 1.00 0.00 C +ATOM 1117 CG1 VAL A 74 -53.456 -50.226 19.904 1.00 0.00 C +ATOM 1118 CG2 VAL A 74 -53.120 -49.455 22.274 1.00 0.00 C +ATOM 1119 H VAL A 74 -56.128 -48.915 19.096 1.00 0.00 H +ATOM 1120 HA VAL A 74 -55.643 -48.519 21.975 1.00 0.00 H +ATOM 1121 HB VAL A 74 -54.677 -50.749 21.576 1.00 0.00 H +ATOM 1122 HG11 VAL A 74 -52.723 -51.026 20.086 1.00 0.00 H +ATOM 1123 HG12 VAL A 74 -54.208 -50.575 19.181 1.00 0.00 H +ATOM 1124 HG13 VAL A 74 -52.942 -49.342 19.500 1.00 0.00 H +ATOM 1125 HG21 VAL A 74 -52.389 -50.266 22.409 1.00 0.00 H +ATOM 1126 HG22 VAL A 74 -52.598 -48.542 21.952 1.00 0.00 H +ATOM 1127 HG23 VAL A 74 -53.637 -49.265 23.226 1.00 0.00 H +ATOM 1128 N TYR A 75 -54.273 -46.537 21.403 1.00 0.00 N +ATOM 1129 CA TYR A 75 -53.693 -45.240 21.085 1.00 0.00 C +ATOM 1130 C TYR A 75 -52.448 -45.060 21.939 1.00 0.00 C +ATOM 1131 O TYR A 75 -52.528 -45.138 23.170 1.00 0.00 O +ATOM 1132 CB TYR A 75 -54.709 -44.119 21.331 1.00 0.00 C +ATOM 1133 CG TYR A 75 -54.131 -42.723 21.336 1.00 0.00 C +ATOM 1134 CD1 TYR A 75 -53.418 -42.239 20.249 1.00 0.00 C +ATOM 1135 CD2 TYR A 75 -54.321 -41.879 22.422 1.00 0.00 C +ATOM 1136 CE1 TYR A 75 -52.895 -40.958 20.250 1.00 0.00 C +ATOM 1137 CE2 TYR A 75 -53.805 -40.597 22.430 1.00 0.00 C +ATOM 1138 CZ TYR A 75 -53.091 -40.141 21.341 1.00 0.00 C +ATOM 1139 OH TYR A 75 -52.571 -38.864 21.344 1.00 0.00 O +ATOM 1140 H TYR A 75 -54.474 -46.747 22.360 1.00 0.00 H +ATOM 1141 HA TYR A 75 -53.399 -45.219 20.025 1.00 0.00 H +ATOM 1142 HB2 TYR A 75 -55.471 -44.170 20.540 1.00 0.00 H +ATOM 1143 HB3 TYR A 75 -55.182 -44.296 22.308 1.00 0.00 H +ATOM 1144 HD1 TYR A 75 -53.269 -42.873 19.387 1.00 0.00 H +ATOM 1145 HD2 TYR A 75 -54.882 -42.230 23.275 1.00 0.00 H +ATOM 1146 HE1 TYR A 75 -52.335 -40.600 19.399 1.00 0.00 H +ATOM 1147 HE2 TYR A 75 -53.960 -39.955 23.285 1.00 0.00 H +ATOM 1148 HH TYR A 75 -52.792 -38.434 22.162 1.00 0.00 H +ATOM 1149 N VAL A 76 -51.312 -44.841 21.296 1.00 0.00 N +ATOM 1150 CA VAL A 76 -50.017 -44.784 21.960 1.00 0.00 C +ATOM 1151 C VAL A 76 -49.352 -43.458 21.616 1.00 0.00 C +ATOM 1152 O VAL A 76 -48.801 -43.292 20.526 1.00 0.00 O +ATOM 1153 CB VAL A 76 -49.125 -45.970 21.562 1.00 0.00 C +ATOM 1154 CG1 VAL A 76 -47.764 -45.855 22.238 1.00 0.00 C +ATOM 1155 CG2 VAL A 76 -49.793 -47.284 21.923 1.00 0.00 C +ATOM 1156 H VAL A 76 -51.345 -44.708 20.305 1.00 0.00 H +ATOM 1157 HA VAL A 76 -50.169 -44.821 23.049 1.00 0.00 H +ATOM 1158 HB VAL A 76 -48.977 -45.941 20.472 1.00 0.00 H +ATOM 1159 HG11 VAL A 76 -47.135 -46.709 21.945 1.00 0.00 H +ATOM 1160 HG12 VAL A 76 -47.278 -44.918 21.927 1.00 0.00 H +ATOM 1161 HG13 VAL A 76 -47.896 -45.854 23.330 1.00 0.00 H +ATOM 1162 HG21 VAL A 76 -49.140 -48.120 21.631 1.00 0.00 H +ATOM 1163 HG22 VAL A 76 -49.970 -47.319 23.008 1.00 0.00 H +ATOM 1164 HG23 VAL A 76 -50.753 -47.365 21.392 1.00 0.00 H +ATOM 1165 N PRO A 77 -49.388 -42.484 22.521 1.00 0.00 N +ATOM 1166 CA PRO A 77 -48.608 -41.260 22.327 1.00 0.00 C +ATOM 1167 C PRO A 77 -47.233 -41.359 22.968 1.00 0.00 C +ATOM 1168 O PRO A 77 -47.047 -41.956 24.031 1.00 0.00 O +ATOM 1169 CB PRO A 77 -49.463 -40.197 23.029 1.00 0.00 C +ATOM 1170 CG PRO A 77 -50.101 -40.949 24.148 1.00 0.00 C +ATOM 1171 CD PRO A 77 -50.335 -42.357 23.641 1.00 0.00 C +ATOM 1172 HA PRO A 77 -48.512 -41.019 21.258 1.00 0.00 H +ATOM 1173 HB2 PRO A 77 -48.836 -39.378 23.412 1.00 0.00 H +ATOM 1174 HB3 PRO A 77 -50.222 -39.789 22.346 1.00 0.00 H +ATOM 1175 HG2 PRO A 77 -49.435 -40.966 25.023 1.00 0.00 H +ATOM 1176 HG3 PRO A 77 -51.057 -40.481 24.424 1.00 0.00 H +ATOM 1177 HD2 PRO A 77 -50.118 -43.098 24.425 1.00 0.00 H +ATOM 1178 HD3 PRO A 77 -51.372 -42.482 23.295 1.00 0.00 H +ATOM 1179 N TYR A 78 -46.249 -40.785 22.290 1.00 0.00 N +ATOM 1180 CA TYR A 78 -44.916 -40.611 22.842 1.00 0.00 C +ATOM 1181 C TYR A 78 -44.649 -39.119 23.002 1.00 0.00 C +ATOM 1182 O TYR A 78 -45.493 -38.276 22.681 1.00 0.00 O +ATOM 1183 CB TYR A 78 -43.855 -41.266 21.954 1.00 0.00 C +ATOM 1184 CG TYR A 78 -44.101 -42.724 21.634 1.00 0.00 C +ATOM 1185 CD1 TYR A 78 -43.969 -43.706 22.606 1.00 0.00 C +ATOM 1186 CD2 TYR A 78 -44.438 -43.120 20.348 1.00 0.00 C +ATOM 1187 CE1 TYR A 78 -44.184 -45.045 22.306 1.00 0.00 C +ATOM 1188 CE2 TYR A 78 -44.654 -44.451 20.039 1.00 0.00 C +ATOM 1189 CZ TYR A 78 -44.526 -45.410 21.020 1.00 0.00 C +ATOM 1190 OH TYR A 78 -44.741 -46.735 20.710 1.00 0.00 O +ATOM 1191 H TYR A 78 -46.431 -40.459 21.362 1.00 0.00 H +ATOM 1192 HA TYR A 78 -44.871 -41.079 23.836 1.00 0.00 H +ATOM 1193 HB2 TYR A 78 -43.814 -40.711 21.005 1.00 0.00 H +ATOM 1194 HB3 TYR A 78 -42.885 -41.188 22.467 1.00 0.00 H +ATOM 1195 HD1 TYR A 78 -43.695 -43.424 23.612 1.00 0.00 H +ATOM 1196 HD2 TYR A 78 -44.534 -42.374 19.573 1.00 0.00 H +ATOM 1197 HE1 TYR A 78 -44.084 -45.797 23.075 1.00 0.00 H +ATOM 1198 HE2 TYR A 78 -44.922 -44.737 19.033 1.00 0.00 H +ATOM 1199 HH TYR A 78 -44.615 -47.267 21.487 1.00 0.00 H +ATOM 1200 N THR A 79 -43.456 -38.792 23.501 1.00 0.00 N +ATOM 1201 CA THR A 79 -43.103 -37.387 23.669 1.00 0.00 C +ATOM 1202 C THR A 79 -43.055 -36.679 22.321 1.00 0.00 C +ATOM 1203 O THR A 79 -43.607 -35.585 22.159 1.00 0.00 O +ATOM 1204 CB THR A 79 -41.765 -37.267 24.398 1.00 0.00 C +ATOM 1205 OG1 THR A 79 -41.807 -38.033 25.608 1.00 0.00 O +ATOM 1206 CG2 THR A 79 -41.490 -35.815 24.748 1.00 0.00 C +ATOM 1207 H THR A 79 -42.806 -39.507 23.759 1.00 0.00 H +ATOM 1208 HA THR A 79 -43.871 -36.897 24.285 1.00 0.00 H +ATOM 1209 HB THR A 79 -40.965 -37.637 23.740 1.00 0.00 H +ATOM 1210 HG1 THR A 79 -42.711 -38.171 25.865 1.00 0.00 H +ATOM 1211 HG21 THR A 79 -40.526 -35.740 25.272 1.00 0.00 H +ATOM 1212 HG22 THR A 79 -41.454 -35.216 23.826 1.00 0.00 H +ATOM 1213 HG23 THR A 79 -42.292 -35.437 25.400 1.00 0.00 H +ATOM 1214 N GLN A 80 -42.406 -37.297 21.338 1.00 0.00 N +ATOM 1215 CA GLN A 80 -42.353 -36.784 19.970 1.00 0.00 C +ATOM 1216 C GLN A 80 -42.828 -37.908 19.052 1.00 0.00 C +ATOM 1217 O GLN A 80 -42.047 -38.792 18.686 1.00 0.00 O +ATOM 1218 CB GLN A 80 -40.948 -36.311 19.610 1.00 0.00 C +ATOM 1219 CG GLN A 80 -40.838 -35.663 18.241 1.00 0.00 C +ATOM 1220 CD GLN A 80 -39.479 -35.035 17.996 1.00 0.00 C +ATOM 1221 OE1 GLN A 80 -39.345 -34.090 17.215 1.00 0.00 O +ATOM 1222 NE2 GLN A 80 -38.460 -35.563 18.662 1.00 0.00 N +ATOM 1223 H GLN A 80 -41.932 -38.153 21.545 1.00 0.00 H +ATOM 1224 HA GLN A 80 -43.045 -35.935 19.871 1.00 0.00 H +ATOM 1225 HB2 GLN A 80 -40.627 -35.578 20.365 1.00 0.00 H +ATOM 1226 HB3 GLN A 80 -40.275 -37.181 19.635 1.00 0.00 H +ATOM 1227 HG2 GLN A 80 -41.014 -36.431 17.473 1.00 0.00 H +ATOM 1228 HG3 GLN A 80 -41.607 -34.880 18.160 1.00 0.00 H +ATOM 1229 HE21 GLN A 80 -37.538 -35.195 18.539 1.00 0.00 H +ATOM 1230 HE22 GLN A 80 -38.614 -36.330 19.285 1.00 0.00 H +ATOM 1231 N GLY A 81 -44.111 -37.884 18.700 1.00 0.00 N +ATOM 1232 CA GLY A 81 -44.687 -38.923 17.869 1.00 0.00 C +ATOM 1233 C GLY A 81 -45.830 -39.663 18.536 1.00 0.00 C +ATOM 1234 O GLY A 81 -45.951 -39.659 19.765 1.00 0.00 O +ATOM 1235 H GLY A 81 -44.691 -37.133 19.016 1.00 0.00 H +ATOM 1236 HA2 GLY A 81 -45.063 -38.461 16.944 1.00 0.00 H +ATOM 1237 HA3 GLY A 81 -43.898 -39.649 17.622 1.00 0.00 H +ATOM 1238 N LYS A 82 -46.675 -40.305 17.733 1.00 0.00 N +ATOM 1239 CA LYS A 82 -47.818 -41.045 18.252 1.00 0.00 C +ATOM 1240 C LYS A 82 -48.345 -41.958 17.157 1.00 0.00 C +ATOM 1241 O LYS A 82 -48.112 -41.728 15.969 1.00 0.00 O +ATOM 1242 CB LYS A 82 -48.924 -40.103 18.745 1.00 0.00 C +ATOM 1243 CG LYS A 82 -49.549 -39.241 17.657 1.00 0.00 C +ATOM 1244 CD LYS A 82 -50.616 -38.315 18.224 1.00 0.00 C +ATOM 1245 CE LYS A 82 -51.231 -37.440 17.142 1.00 0.00 C +ATOM 1246 NZ LYS A 82 -50.238 -36.514 16.528 1.00 0.00 N1+ +ATOM 1247 H LYS A 82 -46.521 -40.279 16.745 1.00 0.00 H +ATOM 1248 HA LYS A 82 -47.493 -41.668 19.098 1.00 0.00 H +ATOM 1249 HB2 LYS A 82 -49.719 -40.714 19.199 1.00 0.00 H +ATOM 1250 HB3 LYS A 82 -48.493 -39.436 19.507 1.00 0.00 H +ATOM 1251 HG2 LYS A 82 -48.762 -38.634 17.186 1.00 0.00 H +ATOM 1252 HG3 LYS A 82 -50.008 -39.896 16.902 1.00 0.00 H +ATOM 1253 HD2 LYS A 82 -51.409 -38.923 18.684 1.00 0.00 H +ATOM 1254 HD3 LYS A 82 -50.159 -37.669 18.988 1.00 0.00 H +ATOM 1255 HE2 LYS A 82 -51.643 -38.089 16.355 1.00 0.00 H +ATOM 1256 HE3 LYS A 82 -52.041 -36.844 17.588 1.00 0.00 H +ATOM 1257 HZ1 LYS A 82 -50.532 -35.569 16.668 1.00 0.00 H +ATOM 1258 HZ2 LYS A 82 -49.345 -36.652 16.956 1.00 0.00 H +ATOM 1259 HZ3 LYS A 82 -50.171 -36.700 15.548 1.00 0.00 H +ATOM 1260 N TRP A 83 -49.048 -43.009 17.573 1.00 0.00 N +ATOM 1261 CA TRP A 83 -49.737 -43.858 16.611 1.00 0.00 C +ATOM 1262 C TRP A 83 -50.996 -44.438 17.235 1.00 0.00 C +ATOM 1263 O TRP A 83 -51.157 -44.475 18.458 1.00 0.00 O +ATOM 1264 CB TRP A 83 -48.838 -44.983 16.068 1.00 0.00 C +ATOM 1265 CG TRP A 83 -48.243 -45.902 17.097 1.00 0.00 C +ATOM 1266 CD1 TRP A 83 -47.017 -45.788 17.677 1.00 0.00 C +ATOM 1267 CD2 TRP A 83 -48.830 -47.097 17.636 1.00 0.00 C +ATOM 1268 NE1 TRP A 83 -46.807 -46.822 18.554 1.00 0.00 N +ATOM 1269 CE2 TRP A 83 -47.905 -47.640 18.548 1.00 0.00 C +ATOM 1270 CE3 TRP A 83 -50.052 -47.754 17.443 1.00 0.00 C +ATOM 1271 CZ2 TRP A 83 -48.159 -48.810 19.265 1.00 0.00 C +ATOM 1272 CZ3 TRP A 83 -50.304 -48.915 18.159 1.00 0.00 C +ATOM 1273 CH2 TRP A 83 -49.361 -49.431 19.057 1.00 0.00 C +ATOM 1274 H TRP A 83 -49.103 -43.216 18.550 1.00 0.00 H +ATOM 1275 HA TRP A 83 -50.043 -43.238 15.755 1.00 0.00 H +ATOM 1276 HB2 TRP A 83 -49.441 -45.593 15.379 1.00 0.00 H +ATOM 1277 HB3 TRP A 83 -48.010 -44.515 15.515 1.00 0.00 H +ATOM 1278 HD1 TRP A 83 -46.310 -44.996 17.476 1.00 0.00 H +ATOM 1279 HE1 TRP A 83 -45.985 -46.957 19.108 1.00 0.00 H +ATOM 1280 HE3 TRP A 83 -50.783 -47.364 16.750 1.00 0.00 H +ATOM 1281 HZ2 TRP A 83 -47.434 -49.211 19.958 1.00 0.00 H +ATOM 1282 HZ3 TRP A 83 -51.243 -49.430 18.022 1.00 0.00 H +ATOM 1283 HH2 TRP A 83 -49.587 -50.339 19.597 1.00 0.00 H +ATOM 1284 N GLU A 84 -51.887 -44.891 16.360 1.00 0.00 N +ATOM 1285 CA GLU A 84 -53.164 -45.471 16.732 1.00 0.00 C +ATOM 1286 C GLU A 84 -53.363 -46.728 15.901 1.00 0.00 C +ATOM 1287 O GLU A 84 -52.928 -46.797 14.748 1.00 0.00 O +ATOM 1288 CB GLU A 84 -54.310 -44.470 16.499 1.00 0.00 C +ATOM 1289 CG GLU A 84 -55.611 -44.775 17.229 1.00 0.00 C +ATOM 1290 CD GLU A 84 -56.536 -43.572 17.248 1.00 0.00 C +ATOM 1291 OE1 GLU A 84 -56.386 -42.693 16.373 1.00 0.00 O +ATOM 1292 OE2 GLU A 84 -57.403 -43.494 18.143 1.00 0.00 O1- +ATOM 1293 H GLU A 84 -51.664 -44.829 15.387 1.00 0.00 H +ATOM 1294 HA GLU A 84 -53.151 -45.748 17.797 1.00 0.00 H +ATOM 1295 HB2 GLU A 84 -53.964 -43.478 16.825 1.00 0.00 H +ATOM 1296 HB3 GLU A 84 -54.525 -44.447 15.420 1.00 0.00 H +ATOM 1297 HG2 GLU A 84 -56.119 -45.608 16.721 1.00 0.00 H +ATOM 1298 HG3 GLU A 84 -55.380 -45.064 18.265 1.00 0.00 H +ATOM 1299 N GLY A 85 -54.001 -47.733 16.490 1.00 0.00 N +ATOM 1300 CA GLY A 85 -54.098 -48.990 15.778 1.00 0.00 C +ATOM 1301 C GLY A 85 -55.207 -49.875 16.301 1.00 0.00 C +ATOM 1302 O GLY A 85 -55.943 -49.519 17.222 1.00 0.00 O +ATOM 1303 H GLY A 85 -54.403 -47.625 17.399 1.00 0.00 H +ATOM 1304 HA2 GLY A 85 -54.289 -48.778 14.715 1.00 0.00 H +ATOM 1305 HA3 GLY A 85 -53.143 -49.526 15.880 1.00 0.00 H +ATOM 1306 N GLU A 86 -55.301 -51.053 15.691 1.00 0.00 N +ATOM 1307 CA GLU A 86 -56.344 -52.026 15.983 1.00 0.00 C +ATOM 1308 C GLU A 86 -55.702 -53.330 16.435 1.00 0.00 C +ATOM 1309 O GLU A 86 -54.820 -53.865 15.751 1.00 0.00 O +ATOM 1310 CB GLU A 86 -57.226 -52.252 14.752 1.00 0.00 C +ATOM 1311 CG GLU A 86 -57.609 -50.956 14.045 1.00 0.00 C +ATOM 1312 CD GLU A 86 -58.586 -51.154 12.899 1.00 0.00 C +ATOM 1313 OE1 GLU A 86 -58.751 -52.303 12.435 1.00 0.00 O +ATOM 1314 OE2 GLU A 86 -59.195 -50.152 12.470 1.00 0.00 O1- +ATOM 1315 H GLU A 86 -54.620 -51.282 14.996 1.00 0.00 H +ATOM 1316 HA GLU A 86 -56.978 -51.648 16.799 1.00 0.00 H +ATOM 1317 HB2 GLU A 86 -56.679 -52.890 14.042 1.00 0.00 H +ATOM 1318 HB3 GLU A 86 -58.147 -52.763 15.070 1.00 0.00 H +ATOM 1319 HG2 GLU A 86 -58.069 -50.281 14.782 1.00 0.00 H +ATOM 1320 HG3 GLU A 86 -56.694 -50.494 13.646 1.00 0.00 H +ATOM 1321 N LEU A 87 -56.149 -53.835 17.582 1.00 0.00 N +ATOM 1322 CA LEU A 87 -55.545 -55.012 18.193 1.00 0.00 C +ATOM 1323 C LEU A 87 -56.069 -56.298 17.565 1.00 0.00 C +ATOM 1324 O LEU A 87 -57.247 -56.408 17.220 1.00 0.00 O +ATOM 1325 CB LEU A 87 -55.813 -55.019 19.698 1.00 0.00 C +ATOM 1326 CG LEU A 87 -55.111 -53.925 20.503 1.00 0.00 C +ATOM 1327 CD1 LEU A 87 -55.540 -53.980 21.959 1.00 0.00 C +ATOM 1328 CD2 LEU A 87 -53.603 -54.071 20.379 1.00 0.00 C +ATOM 1329 H LEU A 87 -56.922 -53.394 18.038 1.00 0.00 H +ATOM 1330 HA LEU A 87 -54.456 -54.976 18.041 1.00 0.00 H +ATOM 1331 HB2 LEU A 87 -56.897 -54.906 19.848 1.00 0.00 H +ATOM 1332 HB3 LEU A 87 -55.487 -55.992 20.094 1.00 0.00 H +ATOM 1333 HG LEU A 87 -55.403 -52.948 20.089 1.00 0.00 H +ATOM 1334 HD11 LEU A 87 -55.027 -53.188 22.523 1.00 0.00 H +ATOM 1335 HD12 LEU A 87 -56.628 -53.832 22.026 1.00 0.00 H +ATOM 1336 HD13 LEU A 87 -55.277 -54.961 22.382 1.00 0.00 H +ATOM 1337 HD21 LEU A 87 -53.108 -53.280 20.961 1.00 0.00 H +ATOM 1338 HD22 LEU A 87 -53.297 -55.055 20.764 1.00 0.00 H +ATOM 1339 HD23 LEU A 87 -53.312 -53.984 19.322 1.00 0.00 H +ATOM 1340 N GLY A 88 -55.180 -57.273 17.428 1.00 0.00 N +ATOM 1341 CA GLY A 88 -55.502 -58.556 16.851 1.00 0.00 C +ATOM 1342 C GLY A 88 -54.357 -59.510 17.102 1.00 0.00 C +ATOM 1343 O GLY A 88 -53.417 -59.196 17.833 1.00 0.00 O +ATOM 1344 H GLY A 88 -54.243 -57.111 17.739 1.00 0.00 H +ATOM 1345 HA2 GLY A 88 -56.418 -58.950 17.315 1.00 0.00 H +ATOM 1346 HA3 GLY A 88 -55.658 -58.444 15.768 1.00 0.00 H +ATOM 1347 N THR A 89 -54.444 -60.694 16.498 1.00 0.00 N +ATOM 1348 CA THR A 89 -53.372 -61.677 16.590 1.00 0.00 C +ATOM 1349 C THR A 89 -53.083 -62.239 15.200 1.00 0.00 C +ATOM 1350 O THR A 89 -53.929 -62.200 14.303 1.00 0.00 O +ATOM 1351 CB THR A 89 -53.722 -62.811 17.581 1.00 0.00 C +ATOM 1352 OG1 THR A 89 -54.783 -63.606 17.038 1.00 0.00 O +ATOM 1353 CG2 THR A 89 -54.146 -62.246 18.944 1.00 0.00 C +ATOM 1354 H THR A 89 -55.264 -60.914 15.969 1.00 0.00 H +ATOM 1355 HA THR A 89 -52.461 -61.180 16.954 1.00 0.00 H +ATOM 1356 HB THR A 89 -52.826 -63.433 17.725 1.00 0.00 H +ATOM 1357 HG1 THR A 89 -55.118 -63.193 16.251 1.00 0.00 H +ATOM 1358 HG21 THR A 89 -54.388 -63.075 19.626 1.00 0.00 H +ATOM 1359 HG22 THR A 89 -53.322 -61.652 19.367 1.00 0.00 H +ATOM 1360 HG23 THR A 89 -55.031 -61.606 18.816 1.00 0.00 H +ATOM 1361 N ASP A 90 -51.851 -62.708 15.011 1.00 0.00 N +ATOM 1362 CA ASP A 90 -51.503 -63.502 13.837 1.00 0.00 C +ATOM 1363 C ASP A 90 -50.328 -64.406 14.185 1.00 0.00 C +ATOM 1364 O ASP A 90 -49.692 -64.256 15.230 1.00 0.00 O +ATOM 1365 CB ASP A 90 -51.165 -62.630 12.622 1.00 0.00 C +ATOM 1366 CG ASP A 90 -51.703 -63.221 11.325 1.00 0.00 C +ATOM 1367 OD1 ASP A 90 -51.713 -64.466 11.208 1.00 0.00 O +ATOM 1368 OD2 ASP A 90 -52.123 -62.457 10.429 1.00 0.00 O1- +ATOM 1369 H ASP A 90 -51.146 -62.511 15.692 1.00 0.00 H +ATOM 1370 HA ASP A 90 -52.359 -64.140 13.571 1.00 0.00 H +ATOM 1371 HB2 ASP A 90 -51.606 -61.633 12.767 1.00 0.00 H +ATOM 1372 HB3 ASP A 90 -50.071 -62.539 12.544 1.00 0.00 H +ATOM 1373 N LEU A 91 -50.046 -65.349 13.287 1.00 0.00 N +ATOM 1374 CA LEU A 91 -48.837 -66.154 13.412 1.00 0.00 C +ATOM 1375 C LEU A 91 -47.622 -65.322 13.018 1.00 0.00 C +ATOM 1376 O LEU A 91 -47.670 -64.538 12.068 1.00 0.00 O +ATOM 1377 CB LEU A 91 -48.917 -67.410 12.542 1.00 0.00 C +ATOM 1378 CG LEU A 91 -50.007 -68.432 12.880 1.00 0.00 C +ATOM 1379 CD1 LEU A 91 -49.907 -69.663 11.987 1.00 0.00 C +ATOM 1380 CD2 LEU A 91 -49.946 -68.821 14.346 1.00 0.00 C +ATOM 1381 H LEU A 91 -50.669 -65.506 12.521 1.00 0.00 H +ATOM 1382 HA LEU A 91 -48.717 -66.467 14.460 1.00 0.00 H +ATOM 1383 HB2 LEU A 91 -49.081 -67.083 11.505 1.00 0.00 H +ATOM 1384 HB3 LEU A 91 -47.948 -67.925 12.615 1.00 0.00 H +ATOM 1385 HG LEU A 91 -50.982 -67.958 12.695 1.00 0.00 H +ATOM 1386 HD11 LEU A 91 -50.701 -70.376 12.254 1.00 0.00 H +ATOM 1387 HD12 LEU A 91 -50.022 -69.363 10.935 1.00 0.00 H +ATOM 1388 HD13 LEU A 91 -48.925 -70.139 12.127 1.00 0.00 H +ATOM 1389 HD21 LEU A 91 -50.736 -69.554 14.565 1.00 0.00 H +ATOM 1390 HD22 LEU A 91 -48.964 -69.264 14.567 1.00 0.00 H +ATOM 1391 HD23 LEU A 91 -50.093 -67.926 14.969 1.00 0.00 H +ATOM 1392 N VAL A 92 -46.531 -65.479 13.763 1.00 0.00 N +ATOM 1393 CA VAL A 92 -45.359 -64.622 13.610 1.00 0.00 C +ATOM 1394 C VAL A 92 -44.106 -65.486 13.606 1.00 0.00 C +ATOM 1395 O VAL A 92 -43.981 -66.408 14.419 1.00 0.00 O +ATOM 1396 CB VAL A 92 -45.270 -63.566 14.731 1.00 0.00 C +ATOM 1397 CG1 VAL A 92 -44.043 -62.687 14.534 1.00 0.00 C +ATOM 1398 CG2 VAL A 92 -46.528 -62.719 14.786 1.00 0.00 C +ATOM 1399 H VAL A 92 -46.513 -66.206 14.449 1.00 0.00 H +ATOM 1400 HA VAL A 92 -45.420 -64.094 12.647 1.00 0.00 H +ATOM 1401 HB VAL A 92 -45.166 -64.095 15.690 1.00 0.00 H +ATOM 1402 HG11 VAL A 92 -43.993 -61.940 15.340 1.00 0.00 H +ATOM 1403 HG12 VAL A 92 -43.138 -63.311 14.556 1.00 0.00 H +ATOM 1404 HG13 VAL A 92 -44.111 -62.175 13.563 1.00 0.00 H +ATOM 1405 HG21 VAL A 92 -46.436 -61.977 15.593 1.00 0.00 H +ATOM 1406 HG22 VAL A 92 -46.664 -62.201 13.825 1.00 0.00 H +ATOM 1407 HG23 VAL A 92 -47.397 -63.365 14.980 1.00 0.00 H +ATOM 1408 N SER A 93 -43.175 -65.183 12.703 1.00 0.00 N +ATOM 1409 CA SER A 93 -41.903 -65.881 12.631 1.00 0.00 C +ATOM 1410 C SER A 93 -40.760 -64.884 12.503 1.00 0.00 C +ATOM 1411 O SER A 93 -40.956 -63.713 12.166 1.00 0.00 O +ATOM 1412 CB SER A 93 -41.862 -66.861 11.451 1.00 0.00 C +ATOM 1413 OG SER A 93 -42.825 -67.885 11.613 1.00 0.00 O +ATOM 1414 H SER A 93 -43.358 -64.448 12.050 1.00 0.00 H +ATOM 1415 HA SER A 93 -41.755 -66.456 13.557 1.00 0.00 H +ATOM 1416 HB2 SER A 93 -42.071 -66.313 10.520 1.00 0.00 H +ATOM 1417 HB3 SER A 93 -40.861 -67.313 11.393 1.00 0.00 H +ATOM 1418 HG SER A 93 -43.684 -67.497 11.732 1.00 0.00 H +ATOM 1419 N ILE A 94 -39.564 -65.373 12.788 1.00 0.00 N +ATOM 1420 CA ILE A 94 -38.324 -64.657 12.523 1.00 0.00 C +ATOM 1421 C ILE A 94 -37.461 -65.535 11.626 1.00 0.00 C +ATOM 1422 O ILE A 94 -36.825 -66.480 12.092 1.00 0.00 O +ATOM 1423 CB ILE A 94 -37.589 -64.295 13.825 1.00 0.00 C +ATOM 1424 CG1 ILE A 94 -38.537 -63.594 14.794 1.00 0.00 C +ATOM 1425 CG2 ILE A 94 -36.392 -63.408 13.523 1.00 0.00 C +ATOM 1426 CD1 ILE A 94 -37.915 -63.306 16.136 1.00 0.00 C +ATOM 1427 H ILE A 94 -39.509 -66.280 13.206 1.00 0.00 H +ATOM 1428 HA ILE A 94 -38.550 -63.725 11.984 1.00 0.00 H +ATOM 1429 HB ILE A 94 -37.231 -65.224 14.293 1.00 0.00 H +ATOM 1430 HG12 ILE A 94 -38.853 -62.641 14.344 1.00 0.00 H +ATOM 1431 HG13 ILE A 94 -39.416 -64.237 14.948 1.00 0.00 H +ATOM 1432 HG21 ILE A 94 -35.875 -63.156 14.461 1.00 0.00 H +ATOM 1433 HG22 ILE A 94 -35.700 -63.942 12.855 1.00 0.00 H +ATOM 1434 HG23 ILE A 94 -36.735 -62.484 13.034 1.00 0.00 H +ATOM 1435 HD11 ILE A 94 -38.650 -62.803 16.781 1.00 0.00 H +ATOM 1436 HD12 ILE A 94 -37.602 -64.250 16.605 1.00 0.00 H +ATOM 1437 HD13 ILE A 94 -37.039 -62.655 16.002 1.00 0.00 H +ATOM 1438 N PRO A 95 -37.424 -65.252 10.322 1.00 0.00 N +ATOM 1439 CA PRO A 95 -36.715 -66.146 9.387 1.00 0.00 C +ATOM 1440 C PRO A 95 -35.282 -66.454 9.788 1.00 0.00 C +ATOM 1441 O PRO A 95 -34.867 -67.617 9.712 1.00 0.00 O +ATOM 1442 CB PRO A 95 -36.788 -65.375 8.064 1.00 0.00 C +ATOM 1443 CG PRO A 95 -38.032 -64.542 8.189 1.00 0.00 C +ATOM 1444 CD PRO A 95 -38.102 -64.141 9.634 1.00 0.00 C +ATOM 1445 HA PRO A 95 -37.271 -67.090 9.282 1.00 0.00 H +ATOM 1446 HB2 PRO A 95 -35.902 -64.736 7.936 1.00 0.00 H +ATOM 1447 HB3 PRO A 95 -36.867 -66.068 7.213 1.00 0.00 H +ATOM 1448 HG2 PRO A 95 -37.965 -63.652 7.546 1.00 0.00 H +ATOM 1449 HG3 PRO A 95 -38.918 -65.130 7.910 1.00 0.00 H +ATOM 1450 HD2 PRO A 95 -37.576 -63.190 9.806 1.00 0.00 H +ATOM 1451 HD3 PRO A 95 -39.146 -64.048 9.968 1.00 0.00 H +ATOM 1452 N HIS A 96 -34.514 -65.458 10.219 1.00 0.00 N +ATOM 1453 CA HIS A 96 -33.174 -65.702 10.747 1.00 0.00 C +ATOM 1454 C HIS A 96 -33.242 -65.721 12.274 1.00 0.00 C +ATOM 1455 O HIS A 96 -32.675 -64.880 12.973 1.00 0.00 O +ATOM 1456 CB HIS A 96 -32.200 -64.650 10.223 1.00 0.00 C +ATOM 1457 CG HIS A 96 -32.201 -64.518 8.730 1.00 0.00 C +ATOM 1458 ND1 HIS A 96 -31.466 -65.347 7.909 1.00 0.00 N1+ +ATOM 1459 CD2 HIS A 96 -32.845 -63.655 7.908 1.00 0.00 C +ATOM 1460 CE1 HIS A 96 -31.659 -65.003 6.649 1.00 0.00 C +ATOM 1461 NE2 HIS A 96 -32.491 -63.977 6.620 1.00 0.00 N +ATOM 1462 H HIS A 96 -34.861 -64.521 10.181 1.00 0.00 H +ATOM 1463 HA HIS A 96 -32.829 -66.689 10.407 1.00 0.00 H +ATOM 1464 HB2 HIS A 96 -32.473 -63.677 10.658 1.00 0.00 H +ATOM 1465 HB3 HIS A 96 -31.185 -64.925 10.547 1.00 0.00 H +ATOM 1466 HD1 HIS A 96 -30.878 -66.093 8.220 1.00 0.00 H +ATOM 1467 HD2 HIS A 96 -33.513 -62.861 8.209 1.00 0.00 H +ATOM 1468 HE1 HIS A 96 -31.213 -65.479 5.788 1.00 0.00 H +ATOM 1469 HE2 HIS A 96 -32.811 -63.511 5.795 1.00 0.00 H +ATOM 1470 N GLY A 97 -33.968 -66.715 12.789 1.00 0.00 N +ATOM 1471 CA GLY A 97 -34.288 -66.768 14.196 1.00 0.00 C +ATOM 1472 C GLY A 97 -34.302 -68.164 14.787 1.00 0.00 C +ATOM 1473 O GLY A 97 -33.548 -69.053 14.379 1.00 0.00 O +ATOM 1474 H GLY A 97 -34.299 -67.441 12.186 1.00 0.00 H +ATOM 1475 HA2 GLY A 97 -33.541 -66.172 14.741 1.00 0.00 H +ATOM 1476 HA3 GLY A 97 -35.285 -66.325 14.338 1.00 0.00 H +ATOM 1477 N PRO A 98 -35.174 -68.372 15.775 1.00 0.00 N +ATOM 1478 CA PRO A 98 -35.184 -69.637 16.525 1.00 0.00 C +ATOM 1479 C PRO A 98 -35.983 -70.758 15.889 1.00 0.00 C +ATOM 1480 O PRO A 98 -36.198 -71.781 16.552 1.00 0.00 O +ATOM 1481 CB PRO A 98 -35.813 -69.215 17.861 1.00 0.00 C +ATOM 1482 CG PRO A 98 -36.754 -68.124 17.483 1.00 0.00 C +ATOM 1483 CD PRO A 98 -36.124 -67.392 16.327 1.00 0.00 C +ATOM 1484 HA PRO A 98 -34.153 -69.978 16.703 1.00 0.00 H +ATOM 1485 HB2 PRO A 98 -36.353 -70.055 18.323 1.00 0.00 H +ATOM 1486 HB3 PRO A 98 -35.045 -68.846 18.556 1.00 0.00 H +ATOM 1487 HG2 PRO A 98 -37.723 -68.547 17.181 1.00 0.00 H +ATOM 1488 HG3 PRO A 98 -36.901 -67.439 18.331 1.00 0.00 H +ATOM 1489 HD2 PRO A 98 -36.881 -67.114 15.579 1.00 0.00 H +ATOM 1490 HD3 PRO A 98 -35.600 -66.489 16.673 1.00 0.00 H +ATOM 1491 N ASN A 99 -36.445 -70.594 14.648 1.00 0.00 N +ATOM 1492 CA ASN A 99 -37.055 -71.679 13.876 1.00 0.00 C +ATOM 1493 C ASN A 99 -38.385 -72.135 14.479 1.00 0.00 C +ATOM 1494 O ASN A 99 -38.723 -73.321 14.463 1.00 0.00 O +ATOM 1495 CB ASN A 99 -36.084 -72.857 13.735 1.00 0.00 C +ATOM 1496 CG ASN A 99 -36.504 -73.838 12.659 1.00 0.00 C +ATOM 1497 OD1 ASN A 99 -37.183 -73.473 11.701 1.00 0.00 O +ATOM 1498 ND2 ASN A 99 -36.107 -75.095 12.819 1.00 0.00 N +ATOM 1499 H ASN A 99 -36.371 -69.690 14.226 1.00 0.00 H +ATOM 1500 HA ASN A 99 -37.265 -71.304 12.863 1.00 0.00 H +ATOM 1501 HB2 ASN A 99 -35.088 -72.464 13.483 1.00 0.00 H +ATOM 1502 HB3 ASN A 99 -36.035 -73.389 14.696 1.00 0.00 H +ATOM 1503 HD21 ASN A 99 -36.360 -75.789 12.145 1.00 0.00 H +ATOM 1504 HD22 ASN A 99 -35.556 -75.348 13.614 1.00 0.00 H +ATOM 1505 N VAL A 100 -39.155 -71.191 15.015 1.00 0.00 N +ATOM 1506 CA VAL A 100 -40.483 -71.489 15.536 1.00 0.00 C +ATOM 1507 C VAL A 100 -41.448 -70.394 15.107 1.00 0.00 C +ATOM 1508 O VAL A 100 -41.059 -69.244 14.883 1.00 0.00 O +ATOM 1509 CB VAL A 100 -40.494 -71.647 17.074 1.00 0.00 C +ATOM 1510 CG1 VAL A 100 -39.731 -72.899 17.494 1.00 0.00 C +ATOM 1511 CG2 VAL A 100 -39.924 -70.410 17.741 1.00 0.00 C +ATOM 1512 H VAL A 100 -38.813 -70.252 15.061 1.00 0.00 H +ATOM 1513 HA VAL A 100 -40.830 -72.437 15.100 1.00 0.00 H +ATOM 1514 HB VAL A 100 -41.540 -71.760 17.395 1.00 0.00 H +ATOM 1515 HG11 VAL A 100 -39.752 -72.991 18.590 1.00 0.00 H +ATOM 1516 HG12 VAL A 100 -40.203 -73.784 17.043 1.00 0.00 H +ATOM 1517 HG13 VAL A 100 -38.688 -72.825 17.152 1.00 0.00 H +ATOM 1518 HG21 VAL A 100 -39.940 -70.541 18.833 1.00 0.00 H +ATOM 1519 HG22 VAL A 100 -38.888 -70.257 17.406 1.00 0.00 H +ATOM 1520 HG23 VAL A 100 -40.531 -69.534 17.468 1.00 0.00 H +ATOM 1521 N THR A 101 -42.718 -70.767 14.980 1.00 0.00 N +ATOM 1522 CA THR A 101 -43.790 -69.844 14.640 1.00 0.00 C +ATOM 1523 C THR A 101 -44.773 -69.797 15.798 1.00 0.00 C +ATOM 1524 O THR A 101 -45.239 -70.844 16.260 1.00 0.00 O +ATOM 1525 CB THR A 101 -44.503 -70.271 13.355 1.00 0.00 C +ATOM 1526 OG1 THR A 101 -43.564 -70.299 12.272 1.00 0.00 O +ATOM 1527 CG2 THR A 101 -45.632 -69.307 13.025 1.00 0.00 C +ATOM 1528 H THR A 101 -42.948 -71.729 15.125 1.00 0.00 H +ATOM 1529 HA THR A 101 -43.374 -68.837 14.491 1.00 0.00 H +ATOM 1530 HB THR A 101 -44.929 -71.274 13.507 1.00 0.00 H +ATOM 1531 HG1 THR A 101 -43.175 -69.439 12.167 1.00 0.00 H +ATOM 1532 HG21 THR A 101 -46.132 -69.630 12.100 1.00 0.00 H +ATOM 1533 HG22 THR A 101 -46.359 -69.298 13.850 1.00 0.00 H +ATOM 1534 HG23 THR A 101 -45.222 -68.296 12.886 1.00 0.00 H +ATOM 1535 N VAL A 102 -45.086 -68.589 16.264 1.00 0.00 N +ATOM 1536 CA VAL A 102 -45.950 -68.400 17.420 1.00 0.00 C +ATOM 1537 C VAL A 102 -47.070 -67.432 17.081 1.00 0.00 C +ATOM 1538 O VAL A 102 -46.917 -66.530 16.251 1.00 0.00 O +ATOM 1539 CB VAL A 102 -45.165 -67.885 18.648 1.00 0.00 C +ATOM 1540 CG1 VAL A 102 -44.073 -68.871 19.037 1.00 0.00 C +ATOM 1541 CG2 VAL A 102 -44.577 -66.513 18.370 1.00 0.00 C +ATOM 1542 H VAL A 102 -44.714 -67.783 15.803 1.00 0.00 H +ATOM 1543 HA VAL A 102 -46.402 -69.366 17.690 1.00 0.00 H +ATOM 1544 HB VAL A 102 -45.868 -67.797 19.490 1.00 0.00 H +ATOM 1545 HG11 VAL A 102 -43.527 -68.488 19.911 1.00 0.00 H +ATOM 1546 HG12 VAL A 102 -44.527 -69.842 19.285 1.00 0.00 H +ATOM 1547 HG13 VAL A 102 -43.376 -68.997 18.195 1.00 0.00 H +ATOM 1548 HG21 VAL A 102 -44.023 -66.165 19.254 1.00 0.00 H +ATOM 1549 HG22 VAL A 102 -43.894 -66.575 17.510 1.00 0.00 H +ATOM 1550 HG23 VAL A 102 -45.388 -65.806 18.143 1.00 0.00 H +ATOM 1551 N ARG A 103 -48.217 -67.633 17.725 1.00 0.00 N +ATOM 1552 CA ARG A 103 -49.302 -66.669 17.643 1.00 0.00 C +ATOM 1553 C ARG A 103 -49.073 -65.576 18.679 1.00 0.00 C +ATOM 1554 O ARG A 103 -48.817 -65.867 19.851 1.00 0.00 O +ATOM 1555 CB ARG A 103 -50.649 -67.349 17.865 1.00 0.00 C +ATOM 1556 CG ARG A 103 -51.819 -66.397 17.737 1.00 0.00 C +ATOM 1557 CD ARG A 103 -53.128 -67.187 17.567 1.00 0.00 C +ATOM 1558 NE ARG A 103 -53.158 -67.953 16.299 1.00 0.00 N +ATOM 1559 CZ ARG A 103 -54.039 -67.781 15.305 1.00 0.00 C +ATOM 1560 NH1 ARG A 103 -54.932 -66.831 15.448 1.00 0.00 N +ATOM 1561 NH2 ARG A 103 -54.003 -68.479 14.170 1.00 0.00 N1+ +ATOM 1562 H ARG A 103 -48.334 -68.460 18.274 1.00 0.00 H +ATOM 1563 HA ARG A 103 -49.306 -66.207 16.645 1.00 0.00 H +ATOM 1564 HB2 ARG A 103 -50.765 -68.149 17.119 1.00 0.00 H +ATOM 1565 HB3 ARG A 103 -50.660 -67.784 18.875 1.00 0.00 H +ATOM 1566 HG2 ARG A 103 -51.884 -65.776 18.643 1.00 0.00 H +ATOM 1567 HG3 ARG A 103 -51.668 -65.751 16.860 1.00 0.00 H +ATOM 1568 HD2 ARG A 103 -53.230 -67.889 18.408 1.00 0.00 H +ATOM 1569 HD3 ARG A 103 -53.972 -66.481 17.575 1.00 0.00 H +ATOM 1570 HE ARG A 103 -52.461 -68.659 16.175 1.00 0.00 H +ATOM 1571 HH11 ARG A 103 -55.577 -66.636 14.710 1.00 0.00 H +ATOM 1572 HH12 ARG A 103 -54.967 -66.301 16.296 1.00 0.00 H +ATOM 1573 HH21 ARG A 103 -54.653 -68.276 13.438 1.00 0.00 H +ATOM 1574 HH22 ARG A 103 -53.326 -69.205 14.051 1.00 0.00 H +ATOM 1575 N ALA A 104 -49.123 -64.320 18.238 1.00 0.00 N +ATOM 1576 CA ALA A 104 -48.777 -63.191 19.089 1.00 0.00 C +ATOM 1577 C ALA A 104 -49.760 -62.052 18.869 1.00 0.00 C +ATOM 1578 O ALA A 104 -50.397 -61.946 17.819 1.00 0.00 O +ATOM 1579 CB ALA A 104 -47.344 -62.706 18.824 1.00 0.00 C +ATOM 1580 H ALA A 104 -49.407 -64.148 17.295 1.00 0.00 H +ATOM 1581 HA ALA A 104 -48.842 -63.502 20.142 1.00 0.00 H +ATOM 1582 HB1 ALA A 104 -47.117 -61.855 19.482 1.00 0.00 H +ATOM 1583 HB2 ALA A 104 -46.637 -63.524 19.026 1.00 0.00 H +ATOM 1584 HB3 ALA A 104 -47.252 -62.392 17.774 1.00 0.00 H +ATOM 1585 N ASN A 105 -49.879 -61.203 19.887 1.00 0.00 N +ATOM 1586 CA ASN A 105 -50.652 -59.979 19.753 1.00 0.00 C +ATOM 1587 C ASN A 105 -49.956 -59.030 18.787 1.00 0.00 C +ATOM 1588 O ASN A 105 -48.726 -58.929 18.769 1.00 0.00 O +ATOM 1589 CB ASN A 105 -50.831 -59.312 21.117 1.00 0.00 C +ATOM 1590 CG ASN A 105 -51.750 -60.092 22.029 1.00 0.00 C +ATOM 1591 OD1 ASN A 105 -52.812 -60.555 21.611 1.00 0.00 O +ATOM 1592 ND2 ASN A 105 -51.344 -60.249 23.283 1.00 0.00 N +ATOM 1593 H ASN A 105 -49.430 -61.410 20.756 1.00 0.00 H +ATOM 1594 HA ASN A 105 -51.647 -60.218 19.350 1.00 0.00 H +ATOM 1595 HB2 ASN A 105 -49.846 -59.226 21.599 1.00 0.00 H +ATOM 1596 HB3 ASN A 105 -51.254 -58.308 20.965 1.00 0.00 H +ATOM 1597 HD21 ASN A 105 -51.908 -60.761 23.931 1.00 0.00 H +ATOM 1598 HD22 ASN A 105 -50.474 -59.856 23.580 1.00 0.00 H +ATOM 1599 N ILE A 106 -50.747 -58.342 17.968 1.00 0.00 N +ATOM 1600 CA ILE A 106 -50.219 -57.417 16.970 1.00 0.00 C +ATOM 1601 C ILE A 106 -51.068 -56.153 16.979 1.00 0.00 C +ATOM 1602 O ILE A 106 -52.292 -56.222 16.825 1.00 0.00 O +ATOM 1603 CB ILE A 106 -50.196 -58.037 15.556 1.00 0.00 C +ATOM 1604 CG1 ILE A 106 -49.307 -59.279 15.508 1.00 0.00 C +ATOM 1605 CG2 ILE A 106 -49.708 -57.031 14.539 1.00 0.00 C +ATOM 1606 CD1 ILE A 106 -49.230 -59.916 14.142 1.00 0.00 C +ATOM 1607 H ILE A 106 -51.737 -58.463 18.038 1.00 0.00 H +ATOM 1608 HA ILE A 106 -49.188 -57.144 17.240 1.00 0.00 H +ATOM 1609 HB ILE A 106 -51.222 -58.333 15.293 1.00 0.00 H +ATOM 1610 HG12 ILE A 106 -48.291 -58.991 15.815 1.00 0.00 H +ATOM 1611 HG13 ILE A 106 -49.707 -60.020 16.215 1.00 0.00 H +ATOM 1612 HG21 ILE A 106 -49.700 -57.493 13.541 1.00 0.00 H +ATOM 1613 HG22 ILE A 106 -50.379 -56.160 14.534 1.00 0.00 H +ATOM 1614 HG23 ILE A 106 -48.690 -56.708 14.802 1.00 0.00 H +ATOM 1615 HD11 ILE A 106 -48.576 -60.799 14.185 1.00 0.00 H +ATOM 1616 HD12 ILE A 106 -50.237 -60.221 13.823 1.00 0.00 H +ATOM 1617 HD13 ILE A 106 -48.821 -59.192 13.422 1.00 0.00 H +ATOM 1618 N ALA A 107 -50.427 -55.000 17.170 1.00 0.00 N +ATOM 1619 CA ALA A 107 -51.094 -53.708 17.018 1.00 0.00 C +ATOM 1620 C ALA A 107 -50.899 -53.262 15.575 1.00 0.00 C +ATOM 1621 O ALA A 107 -49.813 -52.823 15.188 1.00 0.00 O +ATOM 1622 CB ALA A 107 -50.550 -52.686 18.010 1.00 0.00 C +ATOM 1623 H ALA A 107 -49.460 -55.019 17.425 1.00 0.00 H +ATOM 1624 HA ALA A 107 -52.171 -53.832 17.202 1.00 0.00 H +ATOM 1625 HB1 ALA A 107 -51.070 -51.727 17.871 1.00 0.00 H +ATOM 1626 HB2 ALA A 107 -50.715 -53.047 19.036 1.00 0.00 H +ATOM 1627 HB3 ALA A 107 -49.472 -52.547 17.839 1.00 0.00 H +ATOM 1628 N ALA A 108 -51.958 -53.390 14.777 1.00 0.00 N +ATOM 1629 CA ALA A 108 -51.941 -52.999 13.373 1.00 0.00 C +ATOM 1630 C ALA A 108 -52.112 -51.489 13.281 1.00 0.00 C +ATOM 1631 O ALA A 108 -53.210 -50.971 13.505 1.00 0.00 O +ATOM 1632 CB ALA A 108 -53.045 -53.729 12.613 1.00 0.00 C +ATOM 1633 H ALA A 108 -52.801 -53.771 15.158 1.00 0.00 H +ATOM 1634 HA ALA A 108 -50.972 -53.270 12.929 1.00 0.00 H +ATOM 1635 HB1 ALA A 108 -53.024 -53.427 11.555 1.00 0.00 H +ATOM 1636 HB2 ALA A 108 -52.885 -54.815 12.688 1.00 0.00 H +ATOM 1637 HB3 ALA A 108 -54.022 -53.471 13.048 1.00 0.00 H +ATOM 1638 N ILE A 109 -51.037 -50.783 12.942 1.00 0.00 N +ATOM 1639 CA ILE A 109 -51.032 -49.324 12.983 1.00 0.00 C +ATOM 1640 C ILE A 109 -51.760 -48.785 11.761 1.00 0.00 C +ATOM 1641 O ILE A 109 -51.323 -48.986 10.623 1.00 0.00 O +ATOM 1642 CB ILE A 109 -49.602 -48.774 13.054 1.00 0.00 C +ATOM 1643 CG1 ILE A 109 -48.941 -49.214 14.357 1.00 0.00 C +ATOM 1644 CG2 ILE A 109 -49.612 -47.261 12.924 1.00 0.00 C +ATOM 1645 CD1 ILE A 109 -47.443 -49.068 14.346 1.00 0.00 C +ATOM 1646 H ILE A 109 -50.210 -51.265 12.651 1.00 0.00 H +ATOM 1647 HA ILE A 109 -51.572 -48.989 13.881 1.00 0.00 H +ATOM 1648 HB ILE A 109 -49.028 -49.193 12.214 1.00 0.00 H +ATOM 1649 HG12 ILE A 109 -49.345 -48.602 15.177 1.00 0.00 H +ATOM 1650 HG13 ILE A 109 -49.187 -50.272 14.533 1.00 0.00 H +ATOM 1651 HG21 ILE A 109 -48.581 -46.881 12.977 1.00 0.00 H +ATOM 1652 HG22 ILE A 109 -50.058 -46.979 11.959 1.00 0.00 H +ATOM 1653 HG23 ILE A 109 -50.205 -46.827 13.743 1.00 0.00 H +ATOM 1654 HD11 ILE A 109 -47.035 -49.402 15.311 1.00 0.00 H +ATOM 1655 HD12 ILE A 109 -47.021 -49.682 13.537 1.00 0.00 H +ATOM 1656 HD13 ILE A 109 -47.179 -48.013 14.181 1.00 0.00 H +ATOM 1657 N THR A 110 -52.857 -48.068 12.000 1.00 0.00 N +ATOM 1658 CA THR A 110 -53.682 -47.520 10.934 1.00 0.00 C +ATOM 1659 C THR A 110 -53.528 -46.017 10.764 1.00 0.00 C +ATOM 1660 O THR A 110 -53.912 -45.489 9.714 1.00 0.00 O +ATOM 1661 CB THR A 110 -55.158 -47.844 11.194 1.00 0.00 C +ATOM 1662 OG1 THR A 110 -55.517 -47.427 12.520 1.00 0.00 O +ATOM 1663 CG2 THR A 110 -55.396 -49.341 11.055 1.00 0.00 C +ATOM 1664 H THR A 110 -53.124 -47.900 12.949 1.00 0.00 H +ATOM 1665 HA THR A 110 -53.396 -47.998 9.986 1.00 0.00 H +ATOM 1666 HB THR A 110 -55.773 -47.314 10.451 1.00 0.00 H +ATOM 1667 HG1 THR A 110 -55.497 -46.479 12.570 1.00 0.00 H +ATOM 1668 HG21 THR A 110 -56.457 -49.563 11.243 1.00 0.00 H +ATOM 1669 HG22 THR A 110 -55.129 -49.662 10.037 1.00 0.00 H +ATOM 1670 HG23 THR A 110 -54.774 -49.880 11.784 1.00 0.00 H +ATOM 1671 N GLU A 111 -52.977 -45.323 11.758 1.00 0.00 N +ATOM 1672 CA GLU A 111 -52.821 -43.877 11.706 1.00 0.00 C +ATOM 1673 C GLU A 111 -51.667 -43.493 12.619 1.00 0.00 C +ATOM 1674 O GLU A 111 -51.497 -44.088 13.686 1.00 0.00 O +ATOM 1675 CB GLU A 111 -54.112 -43.169 12.133 1.00 0.00 C +ATOM 1676 CG GLU A 111 -54.168 -41.678 11.818 1.00 0.00 C +ATOM 1677 CD GLU A 111 -55.501 -41.057 12.204 1.00 0.00 C +ATOM 1678 OE1 GLU A 111 -56.523 -41.775 12.179 1.00 0.00 O +ATOM 1679 OE2 GLU A 111 -55.526 -39.855 12.540 1.00 0.00 O1- +ATOM 1680 H GLU A 111 -52.659 -45.813 12.569 1.00 0.00 H +ATOM 1681 HA GLU A 111 -52.576 -43.569 10.679 1.00 0.00 H +ATOM 1682 HB2 GLU A 111 -54.954 -43.657 11.620 1.00 0.00 H +ATOM 1683 HB3 GLU A 111 -54.224 -43.292 13.220 1.00 0.00 H +ATOM 1684 HG2 GLU A 111 -53.366 -41.169 12.373 1.00 0.00 H +ATOM 1685 HG3 GLU A 111 -54.012 -41.538 10.738 1.00 0.00 H +ATOM 1686 N SER A 112 -50.880 -42.505 12.198 1.00 0.00 N +ATOM 1687 CA SER A 112 -49.701 -42.130 12.967 1.00 0.00 C +ATOM 1688 C SER A 112 -49.227 -40.747 12.547 1.00 0.00 C +ATOM 1689 O SER A 112 -49.611 -40.228 11.496 1.00 0.00 O +ATOM 1690 CB SER A 112 -48.575 -43.155 12.795 1.00 0.00 C +ATOM 1691 OG SER A 112 -48.157 -43.223 11.443 1.00 0.00 O +ATOM 1692 H SER A 112 -51.099 -42.019 11.352 1.00 0.00 H +ATOM 1693 HA SER A 112 -49.967 -42.092 14.034 1.00 0.00 H +ATOM 1694 HB2 SER A 112 -47.721 -42.860 13.422 1.00 0.00 H +ATOM 1695 HB3 SER A 112 -48.937 -44.145 13.110 1.00 0.00 H +ATOM 1696 HG SER A 112 -48.871 -42.957 10.876 1.00 0.00 H +ATOM 1697 N ASP A 113 -48.383 -40.160 13.395 1.00 0.00 N +ATOM 1698 CA ASP A 113 -47.789 -38.855 13.138 1.00 0.00 C +ATOM 1699 C ASP A 113 -46.415 -38.818 13.787 1.00 0.00 C +ATOM 1700 O ASP A 113 -46.292 -39.064 14.990 1.00 0.00 O +ATOM 1701 CB ASP A 113 -48.673 -37.725 13.682 1.00 0.00 C +ATOM 1702 CG ASP A 113 -48.215 -36.350 13.223 1.00 0.00 C +ATOM 1703 OD1 ASP A 113 -48.079 -36.148 11.997 1.00 0.00 O +ATOM 1704 OD2 ASP A 113 -47.996 -35.470 14.084 1.00 0.00 O1- +ATOM 1705 H ASP A 113 -48.148 -40.635 14.243 1.00 0.00 H +ATOM 1706 HA ASP A 113 -47.670 -38.713 12.054 1.00 0.00 H +ATOM 1707 HB2 ASP A 113 -49.704 -37.887 13.335 1.00 0.00 H +ATOM 1708 HB3 ASP A 113 -48.647 -37.756 14.781 1.00 0.00 H +ATOM 1709 N LYS A 114 -45.391 -38.532 12.982 1.00 0.00 N +ATOM 1710 CA LYS A 114 -44.016 -38.385 13.466 1.00 0.00 C +ATOM 1711 C LYS A 114 -43.542 -39.637 14.203 1.00 0.00 C +ATOM 1712 O LYS A 114 -42.810 -39.565 15.192 1.00 0.00 O +ATOM 1713 CB LYS A 114 -43.872 -37.146 14.355 1.00 0.00 C +ATOM 1714 CG LYS A 114 -44.214 -35.833 13.668 1.00 0.00 C +ATOM 1715 CD LYS A 114 -43.988 -34.650 14.602 1.00 0.00 C +ATOM 1716 CE LYS A 114 -44.422 -33.341 13.958 1.00 0.00 C +ATOM 1717 NZ LYS A 114 -44.210 -32.174 14.861 1.00 0.00 N1+ +ATOM 1718 H LYS A 114 -45.569 -38.413 12.005 1.00 0.00 H +ATOM 1719 HA LYS A 114 -43.358 -38.245 12.596 1.00 0.00 H +ATOM 1720 HB2 LYS A 114 -44.540 -37.265 15.221 1.00 0.00 H +ATOM 1721 HB3 LYS A 114 -42.829 -37.091 14.701 1.00 0.00 H +ATOM 1722 HG2 LYS A 114 -43.577 -35.716 12.779 1.00 0.00 H +ATOM 1723 HG3 LYS A 114 -45.270 -35.852 13.362 1.00 0.00 H +ATOM 1724 HD2 LYS A 114 -44.569 -34.805 15.523 1.00 0.00 H +ATOM 1725 HD3 LYS A 114 -42.918 -34.589 14.850 1.00 0.00 H +ATOM 1726 HE2 LYS A 114 -43.839 -33.188 13.038 1.00 0.00 H +ATOM 1727 HE3 LYS A 114 -45.491 -33.406 13.708 1.00 0.00 H +ATOM 1728 HZ1 LYS A 114 -44.271 -31.327 14.332 1.00 0.00 H +ATOM 1729 HZ2 LYS A 114 -44.911 -32.173 15.574 1.00 0.00 H +ATOM 1730 HZ3 LYS A 114 -43.306 -32.239 15.283 1.00 0.00 H +ATOM 1731 N PHE A 115 -43.958 -40.803 13.711 1.00 0.00 N +ATOM 1732 CA PHE A 115 -43.556 -42.081 14.284 1.00 0.00 C +ATOM 1733 C PHE A 115 -42.662 -42.867 13.332 1.00 0.00 C +ATOM 1734 O PHE A 115 -41.532 -43.212 13.687 1.00 0.00 O +ATOM 1735 CB PHE A 115 -44.799 -42.901 14.668 1.00 0.00 C +ATOM 1736 CG PHE A 115 -44.493 -44.312 15.082 1.00 0.00 C +ATOM 1737 CD1 PHE A 115 -43.935 -44.585 16.321 1.00 0.00 C +ATOM 1738 CD2 PHE A 115 -44.767 -45.368 14.227 1.00 0.00 C +ATOM 1739 CE1 PHE A 115 -43.652 -45.886 16.696 1.00 0.00 C +ATOM 1740 CE2 PHE A 115 -44.488 -46.669 14.597 1.00 0.00 C +ATOM 1741 CZ PHE A 115 -43.932 -46.927 15.832 1.00 0.00 C +ATOM 1742 H PHE A 115 -44.569 -40.801 12.919 1.00 0.00 H +ATOM 1743 HA PHE A 115 -42.984 -41.891 15.204 1.00 0.00 H +ATOM 1744 HB2 PHE A 115 -45.302 -42.396 15.505 1.00 0.00 H +ATOM 1745 HB3 PHE A 115 -45.474 -42.933 13.800 1.00 0.00 H +ATOM 1746 HD1 PHE A 115 -43.719 -43.774 17.000 1.00 0.00 H +ATOM 1747 HD2 PHE A 115 -45.204 -45.171 13.259 1.00 0.00 H +ATOM 1748 HE1 PHE A 115 -43.213 -46.088 17.662 1.00 0.00 H +ATOM 1749 HE2 PHE A 115 -44.705 -47.482 13.920 1.00 0.00 H +ATOM 1750 HZ PHE A 115 -43.715 -47.944 16.124 1.00 0.00 H +ATOM 1751 N PHE A 116 -43.146 -43.167 12.130 1.00 0.00 N +ATOM 1752 CA PHE A 116 -42.295 -43.776 11.120 1.00 0.00 C +ATOM 1753 C PHE A 116 -41.271 -42.758 10.633 1.00 0.00 C +ATOM 1754 O PHE A 116 -41.589 -41.583 10.423 1.00 0.00 O +ATOM 1755 CB PHE A 116 -43.130 -44.291 9.947 1.00 0.00 C +ATOM 1756 CG PHE A 116 -44.081 -45.397 10.316 1.00 0.00 C +ATOM 1757 CD1 PHE A 116 -43.605 -46.629 10.737 1.00 0.00 C +ATOM 1758 CD2 PHE A 116 -45.452 -45.209 10.230 1.00 0.00 C +ATOM 1759 CE1 PHE A 116 -44.475 -47.647 11.075 1.00 0.00 C +ATOM 1760 CE2 PHE A 116 -46.329 -46.226 10.567 1.00 0.00 C +ATOM 1761 CZ PHE A 116 -45.841 -47.445 10.988 1.00 0.00 C +ATOM 1762 H PHE A 116 -44.104 -42.972 11.919 1.00 0.00 H +ATOM 1763 HA PHE A 116 -41.756 -44.627 11.562 1.00 0.00 H +ATOM 1764 HB2 PHE A 116 -43.715 -43.451 9.543 1.00 0.00 H +ATOM 1765 HB3 PHE A 116 -42.445 -44.667 9.173 1.00 0.00 H +ATOM 1766 HD1 PHE A 116 -42.540 -46.795 10.802 1.00 0.00 H +ATOM 1767 HD2 PHE A 116 -45.840 -44.258 9.896 1.00 0.00 H +ATOM 1768 HE1 PHE A 116 -44.090 -48.600 11.407 1.00 0.00 H +ATOM 1769 HE2 PHE A 116 -47.395 -46.065 10.500 1.00 0.00 H +ATOM 1770 HZ PHE A 116 -46.523 -48.240 11.249 1.00 0.00 H +ATOM 1771 N ILE A 117 -40.031 -43.211 10.465 1.00 0.00 N +ATOM 1772 CA ILE A 117 -38.932 -42.352 10.042 1.00 0.00 C +ATOM 1773 C ILE A 117 -38.684 -42.564 8.557 1.00 0.00 C +ATOM 1774 O ILE A 117 -38.546 -43.704 8.096 1.00 0.00 O +ATOM 1775 CB ILE A 117 -37.653 -42.629 10.851 1.00 0.00 C +ATOM 1776 CG1 ILE A 117 -37.920 -42.468 12.346 1.00 0.00 C +ATOM 1777 CG2 ILE A 117 -36.532 -41.694 10.413 1.00 0.00 C +ATOM 1778 CD1 ILE A 117 -36.704 -42.723 13.206 1.00 0.00 C +ATOM 1779 H ILE A 117 -39.846 -44.179 10.636 1.00 0.00 H +ATOM 1780 HA ILE A 117 -39.215 -41.301 10.199 1.00 0.00 H +ATOM 1781 HB ILE A 117 -37.339 -43.666 10.661 1.00 0.00 H +ATOM 1782 HG12 ILE A 117 -38.267 -41.440 12.529 1.00 0.00 H +ATOM 1783 HG13 ILE A 117 -38.708 -43.178 12.637 1.00 0.00 H +ATOM 1784 HG21 ILE A 117 -35.627 -41.906 11.001 1.00 0.00 H +ATOM 1785 HG22 ILE A 117 -36.320 -41.850 9.345 1.00 0.00 H +ATOM 1786 HG23 ILE A 117 -36.840 -40.651 10.577 1.00 0.00 H +ATOM 1787 HD11 ILE A 117 -36.969 -42.590 14.265 1.00 0.00 H +ATOM 1788 HD12 ILE A 117 -36.349 -43.751 13.043 1.00 0.00 H +ATOM 1789 HD13 ILE A 117 -35.908 -42.014 12.935 1.00 0.00 H +ATOM 1790 N ASN A 118 -38.621 -41.464 7.815 1.00 0.00 N +ATOM 1791 CA ASN A 118 -38.333 -41.517 6.390 1.00 0.00 C +ATOM 1792 C ASN A 118 -36.944 -42.098 6.152 1.00 0.00 C +ATOM 1793 O ASN A 118 -35.940 -41.530 6.593 1.00 0.00 O +ATOM 1794 CB ASN A 118 -38.440 -40.110 5.805 1.00 0.00 C +ATOM 1795 CG ASN A 118 -38.410 -40.099 4.294 1.00 0.00 C +ATOM 1796 OD1 ASN A 118 -38.334 -41.148 3.654 1.00 0.00 O +ATOM 1797 ND2 ASN A 118 -38.486 -38.908 3.712 1.00 0.00 N +ATOM 1798 H ASN A 118 -38.776 -40.576 8.248 1.00 0.00 H +ATOM 1799 HA ASN A 118 -39.072 -42.160 5.890 1.00 0.00 H +ATOM 1800 HB2 ASN A 118 -39.386 -39.661 6.141 1.00 0.00 H +ATOM 1801 HB3 ASN A 118 -37.597 -39.510 6.177 1.00 0.00 H +ATOM 1802 HD21 ASN A 118 -38.483 -38.838 2.714 1.00 0.00 H +ATOM 1803 HD22 ASN A 118 -38.546 -38.081 4.271 1.00 0.00 H +ATOM 1804 N GLY A 119 -36.888 -43.235 5.462 1.00 0.00 N +ATOM 1805 CA GLY A 119 -35.626 -43.862 5.121 1.00 0.00 C +ATOM 1806 C GLY A 119 -35.079 -44.833 6.144 1.00 0.00 C +ATOM 1807 O GLY A 119 -33.970 -45.349 5.951 1.00 0.00 O +ATOM 1808 H GLY A 119 -37.741 -43.669 5.171 1.00 0.00 H +ATOM 1809 HA2 GLY A 119 -35.764 -44.408 4.176 1.00 0.00 H +ATOM 1810 HA3 GLY A 119 -34.881 -43.066 4.978 1.00 0.00 H +ATOM 1811 N SER A 120 -35.817 -45.105 7.223 1.00 0.00 N +ATOM 1812 CA SER A 120 -35.316 -45.992 8.269 1.00 0.00 C +ATOM 1813 C SER A 120 -35.342 -47.456 7.861 1.00 0.00 C +ATOM 1814 O SER A 120 -34.631 -48.266 8.468 1.00 0.00 O +ATOM 1815 CB SER A 120 -36.127 -45.808 9.549 1.00 0.00 C +ATOM 1816 OG SER A 120 -37.437 -46.329 9.389 1.00 0.00 O +ATOM 1817 H SER A 120 -36.725 -44.696 7.316 1.00 0.00 H +ATOM 1818 HA SER A 120 -34.273 -45.721 8.490 1.00 0.00 H +ATOM 1819 HB2 SER A 120 -35.626 -46.336 10.374 1.00 0.00 H +ATOM 1820 HB3 SER A 120 -36.191 -44.736 9.786 1.00 0.00 H +ATOM 1821 HG SER A 120 -37.820 -45.985 8.591 1.00 0.00 H +ATOM 1822 N ASN A 121 -36.155 -47.810 6.867 1.00 0.00 N +ATOM 1823 CA ASN A 121 -36.289 -49.175 6.360 1.00 0.00 C +ATOM 1824 C ASN A 121 -36.898 -50.139 7.378 1.00 0.00 C +ATOM 1825 O ASN A 121 -36.837 -51.355 7.185 1.00 0.00 O +ATOM 1826 CB ASN A 121 -34.946 -49.728 5.856 1.00 0.00 C +ATOM 1827 CG ASN A 121 -35.122 -50.832 4.830 1.00 0.00 C +ATOM 1828 OD1 ASN A 121 -34.274 -51.714 4.707 1.00 0.00 O +ATOM 1829 ND2 ASN A 121 -36.218 -50.782 4.080 1.00 0.00 N +ATOM 1830 H ASN A 121 -36.710 -47.096 6.440 1.00 0.00 H +ATOM 1831 HA ASN A 121 -36.969 -49.148 5.496 1.00 0.00 H +ATOM 1832 HB2 ASN A 121 -34.376 -48.907 5.397 1.00 0.00 H +ATOM 1833 HB3 ASN A 121 -34.385 -50.129 6.713 1.00 0.00 H +ATOM 1834 HD21 ASN A 121 -36.378 -51.479 3.382 1.00 0.00 H +ATOM 1835 HD22 ASN A 121 -36.882 -50.046 4.214 1.00 0.00 H +ATOM 1836 N TRP A 122 -37.493 -49.653 8.464 1.00 0.00 N +ATOM 1837 CA TRP A 122 -38.294 -50.518 9.318 1.00 0.00 C +ATOM 1838 C TRP A 122 -39.759 -50.109 9.261 1.00 0.00 C +ATOM 1839 O TRP A 122 -40.087 -48.919 9.223 1.00 0.00 O +ATOM 1840 CB TRP A 122 -37.803 -50.559 10.777 1.00 0.00 C +ATOM 1841 CG TRP A 122 -37.618 -49.264 11.523 1.00 0.00 C +ATOM 1842 CD1 TRP A 122 -36.441 -48.600 11.712 1.00 0.00 C +ATOM 1843 CD2 TRP A 122 -38.614 -48.525 12.251 1.00 0.00 C +ATOM 1844 NE1 TRP A 122 -36.645 -47.480 12.478 1.00 0.00 N +ATOM 1845 CE2 TRP A 122 -37.968 -47.410 12.824 1.00 0.00 C +ATOM 1846 CE3 TRP A 122 -39.990 -48.687 12.457 1.00 0.00 C +ATOM 1847 CZ2 TRP A 122 -38.648 -46.461 13.586 1.00 0.00 C +ATOM 1848 CZ3 TRP A 122 -40.665 -47.739 13.218 1.00 0.00 C +ATOM 1849 CH2 TRP A 122 -39.992 -46.642 13.771 1.00 0.00 C +ATOM 1850 H TRP A 122 -37.389 -48.686 8.696 1.00 0.00 H +ATOM 1851 HA TRP A 122 -38.226 -51.543 8.925 1.00 0.00 H +ATOM 1852 HB2 TRP A 122 -38.531 -51.157 11.345 1.00 0.00 H +ATOM 1853 HB3 TRP A 122 -36.830 -51.071 10.775 1.00 0.00 H +ATOM 1854 HD1 TRP A 122 -35.486 -48.911 11.316 1.00 0.00 H +ATOM 1855 HE1 TRP A 122 -35.941 -46.821 12.741 1.00 0.00 H +ATOM 1856 HE3 TRP A 122 -40.515 -49.530 12.034 1.00 0.00 H +ATOM 1857 HZ2 TRP A 122 -38.133 -45.614 14.015 1.00 0.00 H +ATOM 1858 HZ3 TRP A 122 -41.726 -47.850 13.385 1.00 0.00 H +ATOM 1859 HH2 TRP A 122 -40.546 -45.923 14.356 1.00 0.00 H +ATOM 1860 N GLU A 123 -40.630 -51.117 9.239 1.00 0.00 N +ATOM 1861 CA GLU A 123 -42.065 -50.925 9.111 1.00 0.00 C +ATOM 1862 C GLU A 123 -42.819 -51.195 10.406 1.00 0.00 C +ATOM 1863 O GLU A 123 -44.053 -51.151 10.407 1.00 0.00 O +ATOM 1864 CB GLU A 123 -42.613 -51.820 7.990 1.00 0.00 C +ATOM 1865 CG GLU A 123 -42.153 -51.437 6.577 1.00 0.00 C +ATOM 1866 CD GLU A 123 -40.894 -52.170 6.124 1.00 0.00 C +ATOM 1867 OE1 GLU A 123 -40.723 -53.357 6.476 1.00 0.00 O +ATOM 1868 OE2 GLU A 123 -40.073 -51.551 5.413 1.00 0.00 O1- +ATOM 1869 H GLU A 123 -40.279 -52.051 9.314 1.00 0.00 H +ATOM 1870 HA GLU A 123 -42.255 -49.880 8.825 1.00 0.00 H +ATOM 1871 HB2 GLU A 123 -42.289 -52.853 8.187 1.00 0.00 H +ATOM 1872 HB3 GLU A 123 -43.711 -51.769 8.018 1.00 0.00 H +ATOM 1873 HG2 GLU A 123 -42.964 -51.671 5.872 1.00 0.00 H +ATOM 1874 HG3 GLU A 123 -41.951 -50.356 6.558 1.00 0.00 H +ATOM 1875 N GLY A 124 -42.118 -51.468 11.500 1.00 0.00 N +ATOM 1876 CA GLY A 124 -42.768 -51.731 12.771 1.00 0.00 C +ATOM 1877 C GLY A 124 -41.736 -51.844 13.870 1.00 0.00 C +ATOM 1878 O GLY A 124 -40.535 -51.667 13.647 1.00 0.00 O +ATOM 1879 H GLY A 124 -41.120 -51.493 11.447 1.00 0.00 H +ATOM 1880 HA2 GLY A 124 -43.458 -50.907 13.004 1.00 0.00 H +ATOM 1881 HA3 GLY A 124 -43.332 -52.673 12.703 1.00 0.00 H +ATOM 1882 N ILE A 125 -42.220 -52.148 15.073 1.00 0.00 N +ATOM 1883 CA ILE A 125 -41.374 -52.191 16.263 1.00 0.00 C +ATOM 1884 C ILE A 125 -41.658 -53.471 17.036 1.00 0.00 C +ATOM 1885 O ILE A 125 -42.822 -53.853 17.212 1.00 0.00 O +ATOM 1886 CB ILE A 125 -41.588 -50.965 17.175 1.00 0.00 C +ATOM 1887 CG1 ILE A 125 -41.191 -49.677 16.460 1.00 0.00 C +ATOM 1888 CG2 ILE A 125 -40.786 -51.099 18.461 1.00 0.00 C +ATOM 1889 CD1 ILE A 125 -41.216 -48.465 17.361 1.00 0.00 C +ATOM 1890 H ILE A 125 -43.194 -52.354 15.165 1.00 0.00 H +ATOM 1891 HA ILE A 125 -40.319 -52.203 15.953 1.00 0.00 H +ATOM 1892 HB ILE A 125 -42.656 -50.907 17.432 1.00 0.00 H +ATOM 1893 HG12 ILE A 125 -40.172 -49.797 16.063 1.00 0.00 H +ATOM 1894 HG13 ILE A 125 -41.891 -49.509 15.628 1.00 0.00 H +ATOM 1895 HG21 ILE A 125 -40.955 -50.215 19.093 1.00 0.00 H +ATOM 1896 HG22 ILE A 125 -41.107 -52.002 19.001 1.00 0.00 H +ATOM 1897 HG23 ILE A 125 -39.716 -51.178 18.219 1.00 0.00 H +ATOM 1898 HD11 ILE A 125 -40.921 -47.574 16.787 1.00 0.00 H +ATOM 1899 HD12 ILE A 125 -42.232 -48.325 17.759 1.00 0.00 H +ATOM 1900 HD13 ILE A 125 -40.513 -48.613 18.194 1.00 0.00 H +ATOM 1901 N LEU A 126 -40.597 -54.132 17.506 1.00 0.00 N +ATOM 1902 CA LEU A 126 -40.707 -55.291 18.389 1.00 0.00 C +ATOM 1903 C LEU A 126 -40.314 -54.837 19.790 1.00 0.00 C +ATOM 1904 O LEU A 126 -39.128 -54.724 20.108 1.00 0.00 O +ATOM 1905 CB LEU A 126 -39.827 -56.441 17.908 1.00 0.00 C +ATOM 1906 CG LEU A 126 -39.828 -57.690 18.790 1.00 0.00 C +ATOM 1907 CD1 LEU A 126 -41.246 -58.173 19.012 1.00 0.00 C +ATOM 1908 CD2 LEU A 126 -38.974 -58.797 18.185 1.00 0.00 C +ATOM 1909 H LEU A 126 -39.685 -53.819 17.241 1.00 0.00 H +ATOM 1910 HA LEU A 126 -41.751 -55.635 18.412 1.00 0.00 H +ATOM 1911 HB2 LEU A 126 -40.172 -56.735 16.906 1.00 0.00 H +ATOM 1912 HB3 LEU A 126 -38.793 -56.072 17.846 1.00 0.00 H +ATOM 1913 HG LEU A 126 -39.398 -57.420 19.766 1.00 0.00 H +ATOM 1914 HD11 LEU A 126 -41.233 -59.071 19.647 1.00 0.00 H +ATOM 1915 HD12 LEU A 126 -41.829 -57.382 19.507 1.00 0.00 H +ATOM 1916 HD13 LEU A 126 -41.706 -58.416 18.043 1.00 0.00 H +ATOM 1917 HD21 LEU A 126 -38.996 -59.679 18.842 1.00 0.00 H +ATOM 1918 HD22 LEU A 126 -39.371 -59.067 17.196 1.00 0.00 H +ATOM 1919 HD23 LEU A 126 -37.937 -58.444 18.080 1.00 0.00 H +ATOM 1920 N GLY A 127 -41.312 -54.571 20.626 1.00 0.00 N +ATOM 1921 CA GLY A 127 -41.053 -54.183 21.997 1.00 0.00 C +ATOM 1922 C GLY A 127 -40.744 -55.381 22.869 1.00 0.00 C +ATOM 1923 O GLY A 127 -41.611 -56.232 23.087 1.00 0.00 O +ATOM 1924 H GLY A 127 -42.256 -54.640 20.304 1.00 0.00 H +ATOM 1925 HA2 GLY A 127 -40.194 -53.496 22.017 1.00 0.00 H +ATOM 1926 HA3 GLY A 127 -41.941 -53.671 22.396 1.00 0.00 H +ATOM 1927 N LEU A 128 -39.513 -55.461 23.377 1.00 0.00 N +ATOM 1928 CA LEU A 128 -39.040 -56.633 24.103 1.00 0.00 C +ATOM 1929 C LEU A 128 -39.068 -56.464 25.617 1.00 0.00 C +ATOM 1930 O LEU A 128 -38.599 -57.355 26.331 1.00 0.00 O +ATOM 1931 CB LEU A 128 -37.617 -56.994 23.652 1.00 0.00 C +ATOM 1932 CG LEU A 128 -37.478 -57.460 22.199 1.00 0.00 C +ATOM 1933 CD1 LEU A 128 -36.022 -57.574 21.756 1.00 0.00 C +ATOM 1934 CD2 LEU A 128 -38.198 -58.786 22.004 1.00 0.00 C +ATOM 1935 H LEU A 128 -38.891 -54.687 23.255 1.00 0.00 H +ATOM 1936 HA LEU A 128 -39.691 -57.483 23.852 1.00 0.00 H +ATOM 1937 HB2 LEU A 128 -36.985 -56.103 23.783 1.00 0.00 H +ATOM 1938 HB3 LEU A 128 -37.251 -57.802 24.302 1.00 0.00 H +ATOM 1939 HG LEU A 128 -37.968 -56.712 21.558 1.00 0.00 H +ATOM 1940 HD11 LEU A 128 -35.982 -57.911 20.710 1.00 0.00 H +ATOM 1941 HD12 LEU A 128 -35.534 -56.592 21.844 1.00 0.00 H +ATOM 1942 HD13 LEU A 128 -35.500 -58.301 22.395 1.00 0.00 H +ATOM 1943 HD21 LEU A 128 -38.092 -59.111 20.958 1.00 0.00 H +ATOM 1944 HD22 LEU A 128 -37.758 -59.543 22.670 1.00 0.00 H +ATOM 1945 HD23 LEU A 128 -39.265 -58.663 22.243 1.00 0.00 H +ATOM 1946 N ALA A 129 -39.607 -55.361 26.130 1.00 0.00 N +ATOM 1947 CA ALA A 129 -39.695 -55.171 27.572 1.00 0.00 C +ATOM 1948 C ALA A 129 -40.911 -55.924 28.115 1.00 0.00 C +ATOM 1949 O ALA A 129 -41.520 -56.753 27.434 1.00 0.00 O +ATOM 1950 CB ALA A 129 -39.722 -53.684 27.911 1.00 0.00 C +ATOM 1951 H ALA A 129 -39.957 -54.652 25.517 1.00 0.00 H +ATOM 1952 HA ALA A 129 -38.798 -55.605 28.038 1.00 0.00 H +ATOM 1953 HB1 ALA A 129 -39.789 -53.557 29.002 1.00 0.00 H +ATOM 1954 HB2 ALA A 129 -38.802 -53.207 27.542 1.00 0.00 H +ATOM 1955 HB3 ALA A 129 -40.595 -53.215 27.434 1.00 0.00 H +ATOM 1956 N TYR A 130 -41.281 -55.636 29.357 1.00 0.00 N +ATOM 1957 CA TYR A 130 -42.249 -56.442 30.085 1.00 0.00 C +ATOM 1958 C TYR A 130 -43.664 -55.885 29.948 1.00 0.00 C +ATOM 1959 O TYR A 130 -43.881 -54.768 29.477 1.00 0.00 O +ATOM 1960 CB TYR A 130 -41.869 -56.523 31.560 1.00 0.00 C +ATOM 1961 CG TYR A 130 -40.562 -57.214 31.829 1.00 0.00 C +ATOM 1962 CD1 TYR A 130 -40.480 -58.598 31.839 1.00 0.00 C +ATOM 1963 CD2 TYR A 130 -39.416 -56.484 32.102 1.00 0.00 C +ATOM 1964 CE1 TYR A 130 -39.284 -59.239 32.100 1.00 0.00 C +ATOM 1965 CE2 TYR A 130 -38.216 -57.114 32.366 1.00 0.00 C +ATOM 1966 CZ TYR A 130 -38.155 -58.490 32.363 1.00 0.00 C +ATOM 1967 OH TYR A 130 -36.963 -59.132 32.629 1.00 0.00 O +ATOM 1968 H TYR A 130 -40.881 -54.838 29.808 1.00 0.00 H +ATOM 1969 HA TYR A 130 -42.244 -57.463 29.675 1.00 0.00 H +ATOM 1970 HB2 TYR A 130 -41.804 -55.498 31.955 1.00 0.00 H +ATOM 1971 HB3 TYR A 130 -42.663 -57.070 32.090 1.00 0.00 H +ATOM 1972 HD1 TYR A 130 -41.365 -59.184 31.640 1.00 0.00 H +ATOM 1973 HD2 TYR A 130 -39.462 -55.405 32.108 1.00 0.00 H +ATOM 1974 HE1 TYR A 130 -39.233 -60.318 32.098 1.00 0.00 H +ATOM 1975 HE2 TYR A 130 -37.331 -56.531 32.574 1.00 0.00 H +ATOM 1976 HH TYR A 130 -37.130 -59.907 33.153 1.00 0.00 H +ATOM 1977 N ALA A 131 -44.635 -56.673 30.417 1.00 0.00 N +ATOM 1978 CA ALA A 131 -46.036 -56.337 30.180 1.00 0.00 C +ATOM 1979 C ALA A 131 -46.437 -55.058 30.900 1.00 0.00 C +ATOM 1980 O ALA A 131 -47.375 -54.374 30.475 1.00 0.00 O +ATOM 1981 CB ALA A 131 -46.934 -57.498 30.605 1.00 0.00 C +ATOM 1982 H ALA A 131 -44.401 -57.497 30.933 1.00 0.00 H +ATOM 1983 HA ALA A 131 -46.182 -56.177 29.101 1.00 0.00 H +ATOM 1984 HB1 ALA A 131 -47.986 -57.234 30.422 1.00 0.00 H +ATOM 1985 HB2 ALA A 131 -46.674 -58.394 30.023 1.00 0.00 H +ATOM 1986 HB3 ALA A 131 -46.788 -57.701 31.676 1.00 0.00 H +ATOM 1987 N GLU A 132 -45.726 -54.704 31.977 1.00 0.00 N +ATOM 1988 CA GLU A 132 -46.155 -53.594 32.826 1.00 0.00 C +ATOM 1989 C GLU A 132 -46.263 -52.285 32.058 1.00 0.00 C +ATOM 1990 O GLU A 132 -47.029 -51.395 32.448 1.00 0.00 O +ATOM 1991 CB GLU A 132 -45.197 -53.429 34.010 1.00 0.00 C +ATOM 1992 CG GLU A 132 -45.823 -52.717 35.209 1.00 0.00 C +ATOM 1993 CD GLU A 132 -44.792 -52.243 36.209 1.00 0.00 C +ATOM 1994 OE1 GLU A 132 -44.155 -53.100 36.856 1.00 0.00 O +ATOM 1995 OE2 GLU A 132 -44.609 -51.013 36.328 1.00 0.00 O1- +ATOM 1996 H GLU A 132 -44.891 -55.205 32.204 1.00 0.00 H +ATOM 1997 HA GLU A 132 -47.150 -53.828 33.232 1.00 0.00 H +ATOM 1998 HB2 GLU A 132 -44.867 -54.428 34.332 1.00 0.00 H +ATOM 1999 HB3 GLU A 132 -44.327 -52.846 33.675 1.00 0.00 H +ATOM 2000 HG2 GLU A 132 -46.388 -51.846 34.846 1.00 0.00 H +ATOM 2001 HG3 GLU A 132 -46.509 -53.414 35.714 1.00 0.00 H +ATOM 2002 N ILE A 133 -45.519 -52.147 30.963 1.00 0.00 N +ATOM 2003 CA ILE A 133 -45.575 -50.946 30.147 1.00 0.00 C +ATOM 2004 C ILE A 133 -46.180 -51.212 28.771 1.00 0.00 C +ATOM 2005 O ILE A 133 -46.046 -50.386 27.866 1.00 0.00 O +ATOM 2006 CB ILE A 133 -44.181 -50.301 30.033 1.00 0.00 C +ATOM 2007 CG1 ILE A 133 -43.242 -51.201 29.238 1.00 0.00 C +ATOM 2008 CG2 ILE A 133 -43.606 -50.059 31.418 1.00 0.00 C +ATOM 2009 CD1 ILE A 133 -41.777 -50.920 29.479 1.00 0.00 C +ATOM 2010 H ILE A 133 -44.905 -52.889 30.695 1.00 0.00 H +ATOM 2011 HA ILE A 133 -46.226 -50.219 30.654 1.00 0.00 H +ATOM 2012 HB ILE A 133 -44.279 -49.337 29.512 1.00 0.00 H +ATOM 2013 HG12 ILE A 133 -43.445 -52.246 29.516 1.00 0.00 H +ATOM 2014 HG13 ILE A 133 -43.451 -51.060 28.167 1.00 0.00 H +ATOM 2015 HG21 ILE A 133 -42.611 -49.598 31.327 1.00 0.00 H +ATOM 2016 HG22 ILE A 133 -44.271 -49.386 31.979 1.00 0.00 H +ATOM 2017 HG23 ILE A 133 -43.519 -51.017 31.951 1.00 0.00 H +ATOM 2018 HD11 ILE A 133 -41.167 -51.606 28.873 1.00 0.00 H +ATOM 2019 HD12 ILE A 133 -41.551 -49.881 29.195 1.00 0.00 H +ATOM 2020 HD13 ILE A 133 -41.546 -51.067 30.544 1.00 0.00 H +ATOM 2021 N ALA A 134 -46.852 -52.348 28.593 1.00 0.00 N +ATOM 2022 CA ALA A 134 -47.554 -52.585 27.340 1.00 0.00 C +ATOM 2023 C ALA A 134 -48.800 -51.710 27.268 1.00 0.00 C +ATOM 2024 O ALA A 134 -49.457 -51.452 28.280 1.00 0.00 O +ATOM 2025 CB ALA A 134 -47.922 -54.062 27.199 1.00 0.00 C +ATOM 2026 H ALA A 134 -46.874 -53.036 29.318 1.00 0.00 H +ATOM 2027 HA ALA A 134 -46.895 -52.314 26.502 1.00 0.00 H +ATOM 2028 HB1 ALA A 134 -48.451 -54.220 26.247 1.00 0.00 H +ATOM 2029 HB2 ALA A 134 -47.006 -54.671 27.215 1.00 0.00 H +ATOM 2030 HB3 ALA A 134 -48.574 -54.359 28.034 1.00 0.00 H +ATOM 2031 N ARG A 135 -49.098 -51.215 26.068 1.00 0.00 N +ATOM 2032 CA ARG A 135 -50.337 -50.478 25.845 1.00 0.00 C +ATOM 2033 C ARG A 135 -51.361 -51.383 25.170 1.00 0.00 C +ATOM 2034 O ARG A 135 -51.002 -52.161 24.279 1.00 0.00 O +ATOM 2035 CB ARG A 135 -50.100 -49.245 24.968 1.00 0.00 C +ATOM 2036 CG ARG A 135 -49.106 -48.235 25.530 1.00 0.00 C +ATOM 2037 CD ARG A 135 -49.634 -47.564 26.782 1.00 0.00 C +ATOM 2038 NE ARG A 135 -50.724 -46.625 26.514 1.00 0.00 N +ATOM 2039 CZ ARG A 135 -50.561 -45.313 26.370 1.00 0.00 C +ATOM 2040 NH1 ARG A 135 -51.608 -44.534 26.135 1.00 0.00 N +ATOM 2041 NH2 ARG A 135 -49.350 -44.780 26.464 1.00 0.00 N1+ +ATOM 2042 H ARG A 135 -48.462 -51.351 25.308 1.00 0.00 H +ATOM 2043 HA ARG A 135 -50.745 -50.146 26.811 1.00 0.00 H +ATOM 2044 HB2 ARG A 135 -49.724 -49.587 23.993 1.00 0.00 H +ATOM 2045 HB3 ARG A 135 -51.064 -48.734 24.830 1.00 0.00 H +ATOM 2046 HG2 ARG A 135 -48.168 -48.756 25.773 1.00 0.00 H +ATOM 2047 HG3 ARG A 135 -48.911 -47.465 24.769 1.00 0.00 H +ATOM 2048 HD2 ARG A 135 -50.002 -48.342 27.467 1.00 0.00 H +ATOM 2049 HD3 ARG A 135 -48.809 -47.015 27.260 1.00 0.00 H +ATOM 2050 HE ARG A 135 -51.650 -46.993 26.434 1.00 0.00 H +ATOM 2051 HH11 ARG A 135 -51.484 -43.547 26.029 1.00 0.00 H +ATOM 2052 HH12 ARG A 135 -52.522 -44.933 26.064 1.00 0.00 H +ATOM 2053 HH21 ARG A 135 -49.228 -43.793 26.358 1.00 0.00 H +ATOM 2054 HH22 ARG A 135 -48.559 -45.365 26.641 1.00 0.00 H +ATOM 2055 N PRO A 136 -52.656 -51.304 25.532 1.00 0.00 N +ATOM 2056 CA PRO A 136 -53.254 -50.356 26.482 1.00 0.00 C +ATOM 2057 C PRO A 136 -52.975 -50.664 27.961 1.00 0.00 C +ATOM 2058 O PRO A 136 -53.034 -49.740 28.777 1.00 0.00 O +ATOM 2059 CB PRO A 136 -54.754 -50.475 26.189 1.00 0.00 C +ATOM 2060 CG PRO A 136 -54.921 -51.853 25.663 1.00 0.00 C +ATOM 2061 CD PRO A 136 -53.683 -52.116 24.852 1.00 0.00 C +ATOM 2062 HA PRO A 136 -52.920 -49.333 26.256 1.00 0.00 H +ATOM 2063 HB2 PRO A 136 -55.342 -50.336 27.108 1.00 0.00 H +ATOM 2064 HB3 PRO A 136 -55.064 -49.732 25.439 1.00 0.00 H +ATOM 2065 HG2 PRO A 136 -55.002 -52.575 26.489 1.00 0.00 H +ATOM 2066 HG3 PRO A 136 -55.818 -51.918 25.030 1.00 0.00 H +ATOM 2067 HD2 PRO A 136 -53.418 -53.183 24.871 1.00 0.00 H +ATOM 2068 HD3 PRO A 136 -53.817 -51.790 23.810 1.00 0.00 H +ATOM 2069 N ASP A 137 -52.688 -51.919 28.299 1.00 0.00 N +ATOM 2070 CA ASP A 137 -52.343 -52.288 29.674 1.00 0.00 C +ATOM 2071 C ASP A 137 -51.612 -53.637 29.669 1.00 0.00 C +ATOM 2072 O ASP A 137 -51.280 -54.185 28.614 1.00 0.00 O +ATOM 2073 CB ASP A 137 -53.583 -52.320 30.566 1.00 0.00 C +ATOM 2074 CG ASP A 137 -54.677 -53.208 30.016 1.00 0.00 C +ATOM 2075 OD1 ASP A 137 -54.460 -54.428 29.884 1.00 0.00 O +ATOM 2076 OD2 ASP A 137 -55.769 -52.682 29.722 1.00 0.00 O1- +ATOM 2077 H ASP A 137 -52.708 -52.629 27.595 1.00 0.00 H +ATOM 2078 HA ASP A 137 -51.654 -51.533 30.080 1.00 0.00 H +ATOM 2079 HB2 ASP A 137 -53.292 -52.694 31.559 1.00 0.00 H +ATOM 2080 HB3 ASP A 137 -53.975 -51.297 30.660 1.00 0.00 H +ATOM 2081 N ASP A 138 -51.377 -54.178 30.873 1.00 0.00 N +ATOM 2082 CA ASP A 138 -50.557 -55.371 31.068 1.00 0.00 C +ATOM 2083 C ASP A 138 -51.290 -56.670 30.741 1.00 0.00 C +ATOM 2084 O ASP A 138 -50.681 -57.748 30.833 1.00 0.00 O +ATOM 2085 CB ASP A 138 -49.983 -55.401 32.508 1.00 0.00 C +ATOM 2086 CG ASP A 138 -51.020 -55.821 33.579 1.00 0.00 C +ATOM 2087 OD1 ASP A 138 -52.214 -56.017 33.237 1.00 0.00 O +ATOM 2088 OD2 ASP A 138 -50.625 -55.966 34.758 1.00 0.00 O1- +ATOM 2089 H ASP A 138 -51.783 -53.743 31.677 1.00 0.00 H +ATOM 2090 HA ASP A 138 -49.697 -55.305 30.385 1.00 0.00 H +ATOM 2091 HB2 ASP A 138 -49.147 -56.115 32.534 1.00 0.00 H +ATOM 2092 HB3 ASP A 138 -49.614 -54.395 32.757 1.00 0.00 H +ATOM 2093 N SER A 139 -52.555 -56.596 30.293 1.00 0.00 N +ATOM 2094 CA SER A 139 -53.247 -57.793 29.838 1.00 0.00 C +ATOM 2095 C SER A 139 -52.867 -58.178 28.419 1.00 0.00 C +ATOM 2096 O SER A 139 -53.139 -59.314 28.004 1.00 0.00 O +ATOM 2097 CB SER A 139 -54.764 -57.607 29.916 1.00 0.00 C +ATOM 2098 OG SER A 139 -55.188 -56.531 29.090 1.00 0.00 O +ATOM 2099 H SER A 139 -53.024 -55.713 30.272 1.00 0.00 H +ATOM 2100 HA SER A 139 -52.977 -58.630 30.499 1.00 0.00 H +ATOM 2101 HB2 SER A 139 -55.257 -58.532 29.583 1.00 0.00 H +ATOM 2102 HB3 SER A 139 -55.047 -57.394 30.957 1.00 0.00 H +ATOM 2103 HG SER A 139 -55.050 -55.708 29.545 1.00 0.00 H +ATOM 2104 N LEU A 140 -52.261 -57.255 27.670 1.00 0.00 N +ATOM 2105 CA LEU A 140 -51.757 -57.532 26.328 1.00 0.00 C +ATOM 2106 C LEU A 140 -50.354 -58.103 26.459 1.00 0.00 C +ATOM 2107 O LEU A 140 -49.389 -57.374 26.707 1.00 0.00 O +ATOM 2108 CB LEU A 140 -51.744 -56.271 25.481 1.00 0.00 C +ATOM 2109 CG LEU A 140 -51.797 -56.578 23.987 1.00 0.00 C +ATOM 2110 CD1 LEU A 140 -53.223 -56.897 23.589 1.00 0.00 C +ATOM 2111 CD2 LEU A 140 -51.234 -55.446 23.155 1.00 0.00 C +ATOM 2112 H LEU A 140 -52.147 -56.334 28.044 1.00 0.00 H +ATOM 2113 HA LEU A 140 -52.399 -58.280 25.840 1.00 0.00 H +ATOM 2114 HB2 LEU A 140 -52.617 -55.657 25.747 1.00 0.00 H +ATOM 2115 HB3 LEU A 140 -50.822 -55.710 25.695 1.00 0.00 H +ATOM 2116 HG LEU A 140 -51.184 -57.473 23.804 1.00 0.00 H +ATOM 2117 HD11 LEU A 140 -53.263 -57.118 22.512 1.00 0.00 H +ATOM 2118 HD12 LEU A 140 -53.575 -57.771 24.156 1.00 0.00 H +ATOM 2119 HD13 LEU A 140 -53.867 -56.033 23.810 1.00 0.00 H +ATOM 2120 HD21 LEU A 140 -51.292 -55.710 22.089 1.00 0.00 H +ATOM 2121 HD22 LEU A 140 -51.817 -54.531 23.339 1.00 0.00 H +ATOM 2122 HD23 LEU A 140 -50.184 -55.274 23.433 1.00 0.00 H +ATOM 2123 N GLU A 141 -50.239 -59.409 26.310 1.00 0.00 N +ATOM 2124 CA GLU A 141 -48.981 -60.106 26.494 1.00 0.00 C +ATOM 2125 C GLU A 141 -47.987 -59.697 25.404 1.00 0.00 C +ATOM 2126 O GLU A 141 -48.358 -59.683 24.217 1.00 0.00 O +ATOM 2127 CB GLU A 141 -49.258 -61.605 26.468 1.00 0.00 C +ATOM 2128 CG GLU A 141 -48.079 -62.514 26.639 1.00 0.00 C +ATOM 2129 CD GLU A 141 -48.537 -63.942 26.833 1.00 0.00 C +ATOM 2130 OE1 GLU A 141 -48.378 -64.487 27.946 1.00 0.00 O +ATOM 2131 OE2 GLU A 141 -49.077 -64.514 25.864 1.00 0.00 O1- +ATOM 2132 H GLU A 141 -51.050 -59.938 26.061 1.00 0.00 H +ATOM 2133 HA GLU A 141 -48.554 -59.845 27.473 1.00 0.00 H +ATOM 2134 HB2 GLU A 141 -49.969 -61.826 27.278 1.00 0.00 H +ATOM 2135 HB3 GLU A 141 -49.722 -61.841 25.499 1.00 0.00 H +ATOM 2136 HG2 GLU A 141 -47.444 -62.456 25.743 1.00 0.00 H +ATOM 2137 HG3 GLU A 141 -47.501 -62.196 27.519 1.00 0.00 H +ATOM 2138 N PRO A 142 -46.754 -59.334 25.755 1.00 0.00 N +ATOM 2139 CA PRO A 142 -45.781 -58.953 24.725 1.00 0.00 C +ATOM 2140 C PRO A 142 -45.341 -60.157 23.909 1.00 0.00 C +ATOM 2141 O PRO A 142 -45.646 -61.307 24.228 1.00 0.00 O +ATOM 2142 CB PRO A 142 -44.609 -58.363 25.524 1.00 0.00 C +ATOM 2143 CG PRO A 142 -45.147 -58.102 26.899 1.00 0.00 C +ATOM 2144 CD PRO A 142 -46.208 -59.146 27.112 1.00 0.00 C +ATOM 2145 HA PRO A 142 -46.201 -58.183 24.060 1.00 0.00 H +ATOM 2146 HB2 PRO A 142 -43.775 -59.079 25.568 1.00 0.00 H +ATOM 2147 HB3 PRO A 142 -44.264 -57.426 25.063 1.00 0.00 H +ATOM 2148 HG2 PRO A 142 -44.350 -58.203 27.651 1.00 0.00 H +ATOM 2149 HG3 PRO A 142 -45.581 -57.093 26.958 1.00 0.00 H +ATOM 2150 HD2 PRO A 142 -46.983 -58.788 27.806 1.00 0.00 H +ATOM 2151 HD3 PRO A 142 -45.774 -60.080 27.498 1.00 0.00 H +ATOM 2152 N PHE A 143 -44.596 -59.874 22.839 1.00 0.00 N +ATOM 2153 CA PHE A 143 -44.208 -60.938 21.917 1.00 0.00 C +ATOM 2154 C PHE A 143 -43.362 -62.002 22.605 1.00 0.00 C +ATOM 2155 O PHE A 143 -43.620 -63.203 22.467 1.00 0.00 O +ATOM 2156 CB PHE A 143 -43.454 -60.358 20.719 1.00 0.00 C +ATOM 2157 CG PHE A 143 -42.898 -61.407 19.788 1.00 0.00 C +ATOM 2158 CD1 PHE A 143 -43.698 -61.976 18.806 1.00 0.00 C +ATOM 2159 CD2 PHE A 143 -41.576 -61.823 19.892 1.00 0.00 C +ATOM 2160 CE1 PHE A 143 -43.194 -62.941 17.957 1.00 0.00 C +ATOM 2161 CE2 PHE A 143 -41.069 -62.790 19.044 1.00 0.00 C +ATOM 2162 CZ PHE A 143 -41.880 -63.347 18.074 1.00 0.00 C +ATOM 2163 H PHE A 143 -44.303 -58.933 22.668 1.00 0.00 H +ATOM 2164 HA PHE A 143 -45.119 -61.424 21.538 1.00 0.00 H +ATOM 2165 HB2 PHE A 143 -44.145 -59.719 20.150 1.00 0.00 H +ATOM 2166 HB3 PHE A 143 -42.618 -59.750 21.096 1.00 0.00 H +ATOM 2167 HD1 PHE A 143 -44.726 -61.660 18.705 1.00 0.00 H +ATOM 2168 HD2 PHE A 143 -40.937 -61.385 20.645 1.00 0.00 H +ATOM 2169 HE1 PHE A 143 -43.828 -63.379 17.201 1.00 0.00 H +ATOM 2170 HE2 PHE A 143 -40.042 -63.109 19.139 1.00 0.00 H +ATOM 2171 HZ PHE A 143 -41.486 -64.100 17.407 1.00 0.00 H +ATOM 2172 N PHE A 144 -42.340 -61.578 23.348 1.00 0.00 N +ATOM 2173 CA PHE A 144 -41.395 -62.543 23.895 1.00 0.00 C +ATOM 2174 C PHE A 144 -42.044 -63.422 24.952 1.00 0.00 C +ATOM 2175 O PHE A 144 -41.746 -64.617 25.035 1.00 0.00 O +ATOM 2176 CB PHE A 144 -40.170 -61.829 24.468 1.00 0.00 C +ATOM 2177 CG PHE A 144 -38.958 -62.703 24.552 1.00 0.00 C +ATOM 2178 CD1 PHE A 144 -38.136 -62.871 23.451 1.00 0.00 C +ATOM 2179 CD2 PHE A 144 -38.659 -63.383 25.720 1.00 0.00 C +ATOM 2180 CE1 PHE A 144 -37.028 -63.689 23.517 1.00 0.00 C +ATOM 2181 CE2 PHE A 144 -37.547 -64.203 25.791 1.00 0.00 C +ATOM 2182 CZ PHE A 144 -36.733 -64.355 24.688 1.00 0.00 C +ATOM 2183 H PHE A 144 -42.222 -60.602 23.529 1.00 0.00 H +ATOM 2184 HA PHE A 144 -41.050 -63.196 23.080 1.00 0.00 H +ATOM 2185 HB2 PHE A 144 -39.935 -60.968 23.824 1.00 0.00 H +ATOM 2186 HB3 PHE A 144 -40.415 -61.474 25.480 1.00 0.00 H +ATOM 2187 HD1 PHE A 144 -38.365 -62.356 22.530 1.00 0.00 H +ATOM 2188 HD2 PHE A 144 -39.299 -63.272 26.583 1.00 0.00 H +ATOM 2189 HE1 PHE A 144 -36.392 -63.808 22.653 1.00 0.00 H +ATOM 2190 HE2 PHE A 144 -37.317 -64.723 26.709 1.00 0.00 H +ATOM 2191 HZ PHE A 144 -35.865 -64.995 24.741 1.00 0.00 H +ATOM 2192 N ASP A 145 -42.920 -62.850 25.778 1.00 0.00 N +ATOM 2193 CA ASP A 145 -43.678 -63.667 26.717 1.00 0.00 C +ATOM 2194 C ASP A 145 -44.416 -64.783 25.992 1.00 0.00 C +ATOM 2195 O ASP A 145 -44.387 -65.943 26.418 1.00 0.00 O +ATOM 2196 CB ASP A 145 -44.652 -62.794 27.505 1.00 0.00 C +ATOM 2197 CG ASP A 145 -43.957 -61.952 28.547 1.00 0.00 C +ATOM 2198 OD1 ASP A 145 -43.978 -62.334 29.739 1.00 0.00 O +ATOM 2199 OD2 ASP A 145 -43.364 -60.924 28.165 1.00 0.00 O1- +ATOM 2200 H ASP A 145 -43.057 -61.860 25.753 1.00 0.00 H +ATOM 2201 HA ASP A 145 -42.980 -64.128 27.432 1.00 0.00 H +ATOM 2202 HB2 ASP A 145 -45.175 -62.127 26.804 1.00 0.00 H +ATOM 2203 HB3 ASP A 145 -45.383 -63.445 28.007 1.00 0.00 H +ATOM 2204 N SER A 146 -45.056 -64.453 24.868 1.00 0.00 N +ATOM 2205 CA SER A 146 -45.813 -65.455 24.126 1.00 0.00 C +ATOM 2206 C SER A 146 -44.898 -66.487 23.481 1.00 0.00 C +ATOM 2207 O SER A 146 -45.238 -67.674 23.417 1.00 0.00 O +ATOM 2208 CB SER A 146 -46.677 -64.777 23.065 1.00 0.00 C +ATOM 2209 OG SER A 146 -47.694 -64.007 23.669 1.00 0.00 O +ATOM 2210 H SER A 146 -45.016 -63.512 24.532 1.00 0.00 H +ATOM 2211 HA SER A 146 -46.482 -65.982 24.822 1.00 0.00 H +ATOM 2212 HB2 SER A 146 -46.044 -64.121 22.449 1.00 0.00 H +ATOM 2213 HB3 SER A 146 -47.137 -65.547 22.428 1.00 0.00 H +ATOM 2214 HG SER A 146 -48.081 -64.498 24.384 1.00 0.00 H +ATOM 2215 N LEU A 147 -43.746 -66.049 22.971 1.00 0.00 N +ATOM 2216 CA LEU A 147 -42.818 -66.968 22.322 1.00 0.00 C +ATOM 2217 C LEU A 147 -42.324 -68.029 23.294 1.00 0.00 C +ATOM 2218 O LEU A 147 -42.267 -69.218 22.964 1.00 0.00 O +ATOM 2219 CB LEU A 147 -41.641 -66.188 21.740 1.00 0.00 C +ATOM 2220 CG LEU A 147 -40.516 -67.022 21.139 1.00 0.00 C +ATOM 2221 CD1 LEU A 147 -40.867 -67.454 19.727 1.00 0.00 C +ATOM 2222 CD2 LEU A 147 -39.225 -66.232 21.164 1.00 0.00 C +ATOM 2223 H LEU A 147 -43.516 -65.078 23.035 1.00 0.00 H +ATOM 2224 HA LEU A 147 -43.336 -67.475 21.494 1.00 0.00 H +ATOM 2225 HB2 LEU A 147 -42.032 -65.531 20.949 1.00 0.00 H +ATOM 2226 HB3 LEU A 147 -41.212 -65.576 22.547 1.00 0.00 H +ATOM 2227 HG LEU A 147 -40.385 -67.923 21.756 1.00 0.00 H +ATOM 2228 HD11 LEU A 147 -40.044 -68.054 19.311 1.00 0.00 H +ATOM 2229 HD12 LEU A 147 -41.787 -68.057 19.746 1.00 0.00 H +ATOM 2230 HD13 LEU A 147 -41.025 -66.564 19.100 1.00 0.00 H +ATOM 2231 HD21 LEU A 147 -38.416 -66.837 20.729 1.00 0.00 H +ATOM 2232 HD22 LEU A 147 -39.348 -65.310 20.577 1.00 0.00 H +ATOM 2233 HD23 LEU A 147 -38.973 -65.975 22.203 1.00 0.00 H +ATOM 2234 N VAL A 148 -41.965 -67.610 24.506 1.00 0.00 N +ATOM 2235 CA VAL A 148 -41.437 -68.547 25.493 1.00 0.00 C +ATOM 2236 C VAL A 148 -42.516 -69.523 25.949 1.00 0.00 C +ATOM 2237 O VAL A 148 -42.264 -70.725 26.095 1.00 0.00 O +ATOM 2238 CB VAL A 148 -40.822 -67.781 26.678 1.00 0.00 C +ATOM 2239 CG1 VAL A 148 -40.595 -68.714 27.856 1.00 0.00 C +ATOM 2240 CG2 VAL A 148 -39.522 -67.130 26.249 1.00 0.00 C +ATOM 2241 H VAL A 148 -42.058 -66.643 24.743 1.00 0.00 H +ATOM 2242 HA VAL A 148 -40.633 -69.133 25.024 1.00 0.00 H +ATOM 2243 HB VAL A 148 -41.526 -66.993 26.985 1.00 0.00 H +ATOM 2244 HG11 VAL A 148 -40.156 -68.150 28.692 1.00 0.00 H +ATOM 2245 HG12 VAL A 148 -41.556 -69.147 28.171 1.00 0.00 H +ATOM 2246 HG13 VAL A 148 -39.909 -69.521 27.558 1.00 0.00 H +ATOM 2247 HG21 VAL A 148 -39.087 -66.584 27.099 1.00 0.00 H +ATOM 2248 HG22 VAL A 148 -38.818 -67.905 25.912 1.00 0.00 H +ATOM 2249 HG23 VAL A 148 -39.718 -66.429 25.425 1.00 0.00 H +ATOM 2250 N LYS A 149 -43.731 -69.028 26.183 1.00 0.00 N +ATOM 2251 CA LYS A 149 -44.802 -69.905 26.647 1.00 0.00 C +ATOM 2252 C LYS A 149 -45.173 -70.950 25.600 1.00 0.00 C +ATOM 2253 O LYS A 149 -45.494 -72.094 25.943 1.00 0.00 O +ATOM 2254 CB LYS A 149 -46.033 -69.083 27.027 1.00 0.00 C +ATOM 2255 CG LYS A 149 -45.926 -68.343 28.349 1.00 0.00 C +ATOM 2256 CD LYS A 149 -47.288 -67.791 28.741 1.00 0.00 C +ATOM 2257 CE LYS A 149 -47.212 -66.857 29.937 1.00 0.00 C +ATOM 2258 NZ LYS A 149 -46.577 -65.553 29.594 1.00 0.00 N1+ +ATOM 2259 H LYS A 149 -43.909 -68.054 26.041 1.00 0.00 H +ATOM 2260 HA LYS A 149 -44.459 -70.435 27.548 1.00 0.00 H +ATOM 2261 HB2 LYS A 149 -46.207 -68.341 26.233 1.00 0.00 H +ATOM 2262 HB3 LYS A 149 -46.894 -69.765 27.086 1.00 0.00 H +ATOM 2263 HG2 LYS A 149 -45.575 -69.036 29.128 1.00 0.00 H +ATOM 2264 HG3 LYS A 149 -45.211 -67.513 28.246 1.00 0.00 H +ATOM 2265 HD2 LYS A 149 -47.704 -67.237 27.886 1.00 0.00 H +ATOM 2266 HD3 LYS A 149 -47.951 -68.632 28.991 1.00 0.00 H +ATOM 2267 HE2 LYS A 149 -48.231 -66.669 30.305 1.00 0.00 H +ATOM 2268 HE3 LYS A 149 -46.621 -67.342 30.728 1.00 0.00 H +ATOM 2269 HZ1 LYS A 149 -46.437 -65.020 30.429 1.00 0.00 H +ATOM 2270 HZ2 LYS A 149 -45.695 -65.718 29.152 1.00 0.00 H +ATOM 2271 HZ3 LYS A 149 -47.173 -65.046 28.971 1.00 0.00 H +ATOM 2272 N GLN A 150 -45.133 -70.579 24.318 1.00 0.00 N +ATOM 2273 CA GLN A 150 -45.636 -71.466 23.273 1.00 0.00 C +ATOM 2274 C GLN A 150 -44.581 -72.444 22.776 1.00 0.00 C +ATOM 2275 O GLN A 150 -44.930 -73.482 22.203 1.00 0.00 O +ATOM 2276 CB GLN A 150 -46.181 -70.640 22.104 1.00 0.00 C +ATOM 2277 CG GLN A 150 -47.472 -69.895 22.419 1.00 0.00 C +ATOM 2278 CD GLN A 150 -47.888 -68.949 21.308 1.00 0.00 C +ATOM 2279 OE1 GLN A 150 -47.733 -69.254 20.125 1.00 0.00 O +ATOM 2280 NE2 GLN A 150 -48.414 -67.790 21.685 1.00 0.00 N +ATOM 2281 H GLN A 150 -44.756 -69.686 24.072 1.00 0.00 H +ATOM 2282 HA GLN A 150 -46.471 -72.053 23.684 1.00 0.00 H +ATOM 2283 HB2 GLN A 150 -45.417 -69.902 21.816 1.00 0.00 H +ATOM 2284 HB3 GLN A 150 -46.371 -71.319 21.260 1.00 0.00 H +ATOM 2285 HG2 GLN A 150 -48.275 -70.631 22.573 1.00 0.00 H +ATOM 2286 HG3 GLN A 150 -47.326 -69.313 23.341 1.00 0.00 H +ATOM 2287 HE21 GLN A 150 -48.702 -67.124 20.997 1.00 0.00 H +ATOM 2288 HE22 GLN A 150 -48.522 -67.583 22.657 1.00 0.00 H +ATOM 2289 N THR A 151 -43.307 -72.142 22.982 1.00 0.00 N +ATOM 2290 CA THR A 151 -42.207 -72.965 22.500 1.00 0.00 C +ATOM 2291 C THR A 151 -41.348 -73.429 23.672 1.00 0.00 C +ATOM 2292 O THR A 151 -41.674 -73.214 24.842 1.00 0.00 O +ATOM 2293 CB THR A 151 -41.355 -72.195 21.488 1.00 0.00 C +ATOM 2294 OG1 THR A 151 -40.722 -71.094 22.151 1.00 0.00 O +ATOM 2295 CG2 THR A 151 -42.221 -71.661 20.367 1.00 0.00 C +ATOM 2296 H THR A 151 -43.091 -71.310 23.493 1.00 0.00 H +ATOM 2297 HA THR A 151 -42.615 -73.855 21.999 1.00 0.00 H +ATOM 2298 HB THR A 151 -40.598 -72.874 21.068 1.00 0.00 H +ATOM 2299 HG1 THR A 151 -41.363 -70.628 22.674 1.00 0.00 H +ATOM 2300 HG21 THR A 151 -41.595 -71.111 19.649 1.00 0.00 H +ATOM 2301 HG22 THR A 151 -42.716 -72.499 19.855 1.00 0.00 H +ATOM 2302 HG23 THR A 151 -42.982 -70.985 20.782 1.00 0.00 H +ATOM 2303 N HIS A 152 -40.232 -74.074 23.334 1.00 0.00 N +ATOM 2304 CA HIS A 152 -39.227 -74.472 24.309 1.00 0.00 C +ATOM 2305 C HIS A 152 -38.047 -73.510 24.348 1.00 0.00 C +ATOM 2306 O HIS A 152 -36.966 -73.883 24.819 1.00 0.00 O +ATOM 2307 CB HIS A 152 -38.738 -75.891 24.018 1.00 0.00 C +ATOM 2308 CG HIS A 152 -39.740 -76.954 24.343 1.00 0.00 C +ATOM 2309 ND1 HIS A 152 -40.578 -77.503 23.397 1.00 0.00 N +ATOM 2310 CD2 HIS A 152 -40.040 -77.564 25.513 1.00 0.00 C +ATOM 2311 CE1 HIS A 152 -41.349 -78.410 23.970 1.00 0.00 C +ATOM 2312 NE2 HIS A 152 -41.044 -78.466 25.254 1.00 0.00 N +ATOM 2313 H HIS A 152 -40.078 -74.294 22.371 1.00 0.00 H +ATOM 2314 HA HIS A 152 -39.689 -74.476 25.307 1.00 0.00 H +ATOM 2315 HB2 HIS A 152 -38.493 -75.961 22.948 1.00 0.00 H +ATOM 2316 HB3 HIS A 152 -37.832 -76.075 24.614 1.00 0.00 H +ATOM 2317 HD1 HIS A 152 -40.599 -77.254 22.429 1.00 0.00 H +ATOM 2318 HD2 HIS A 152 -39.577 -77.377 26.471 1.00 0.00 H +ATOM 2319 HE1 HIS A 152 -42.101 -79.005 23.473 1.00 0.00 H +ATOM 2320 N VAL A 153 -38.232 -72.292 23.859 1.00 0.00 N +ATOM 2321 CA VAL A 153 -37.138 -71.314 23.805 1.00 0.00 C +ATOM 2322 C VAL A 153 -36.826 -70.830 25.212 1.00 0.00 C +ATOM 2323 O VAL A 153 -37.748 -70.429 25.947 1.00 0.00 O +ATOM 2324 CB VAL A 153 -37.516 -70.149 22.891 1.00 0.00 C +ATOM 2325 CG1 VAL A 153 -36.505 -69.027 23.018 1.00 0.00 C +ATOM 2326 CG2 VAL A 153 -37.622 -70.621 21.446 1.00 0.00 C +ATOM 2327 H VAL A 153 -39.136 -72.033 23.519 1.00 0.00 H +ATOM 2328 HA VAL A 153 -36.240 -71.799 23.396 1.00 0.00 H +ATOM 2329 HB VAL A 153 -38.500 -69.769 23.204 1.00 0.00 H +ATOM 2330 HG11 VAL A 153 -36.792 -68.198 22.355 1.00 0.00 H +ATOM 2331 HG12 VAL A 153 -36.480 -68.672 24.059 1.00 0.00 H +ATOM 2332 HG13 VAL A 153 -35.509 -69.397 22.733 1.00 0.00 H +ATOM 2333 HG21 VAL A 153 -37.894 -69.772 20.802 1.00 0.00 H +ATOM 2334 HG22 VAL A 153 -36.654 -71.031 21.122 1.00 0.00 H +ATOM 2335 HG23 VAL A 153 -38.394 -71.401 21.371 1.00 0.00 H +ATOM 2336 N PRO A 154 -35.563 -70.847 25.641 1.00 0.00 N +ATOM 2337 CA PRO A 154 -35.229 -70.340 26.975 1.00 0.00 C +ATOM 2338 C PRO A 154 -35.604 -68.873 27.127 1.00 0.00 C +ATOM 2339 O PRO A 154 -35.539 -68.092 26.176 1.00 0.00 O +ATOM 2340 CB PRO A 154 -33.715 -70.547 27.065 1.00 0.00 C +ATOM 2341 CG PRO A 154 -33.449 -71.694 26.146 1.00 0.00 C +ATOM 2342 CD PRO A 154 -34.414 -71.515 25.002 1.00 0.00 C +ATOM 2343 HA PRO A 154 -35.731 -70.935 27.752 1.00 0.00 H +ATOM 2344 HB2 PRO A 154 -33.177 -69.647 26.732 1.00 0.00 H +ATOM 2345 HB3 PRO A 154 -33.415 -70.794 28.094 1.00 0.00 H +ATOM 2346 HG2 PRO A 154 -32.411 -71.665 25.783 1.00 0.00 H +ATOM 2347 HG3 PRO A 154 -33.632 -72.650 26.659 1.00 0.00 H +ATOM 2348 HD2 PRO A 154 -34.707 -72.486 24.576 1.00 0.00 H +ATOM 2349 HD3 PRO A 154 -33.979 -70.885 24.212 1.00 0.00 H +ATOM 2350 N ASN A 155 -36.006 -68.509 28.345 1.00 0.00 N +ATOM 2351 CA ASN A 155 -36.484 -67.161 28.650 1.00 0.00 C +ATOM 2352 C ASN A 155 -35.297 -66.198 28.725 1.00 0.00 C +ATOM 2353 O ASN A 155 -34.923 -65.692 29.784 1.00 0.00 O +ATOM 2354 CB ASN A 155 -37.284 -67.176 29.945 1.00 0.00 C +ATOM 2355 CG ASN A 155 -38.023 -65.880 30.191 1.00 0.00 C +ATOM 2356 OD1 ASN A 155 -38.181 -65.058 29.287 1.00 0.00 O +ATOM 2357 ND2 ASN A 155 -38.490 -65.692 31.420 1.00 0.00 N +ATOM 2358 H ASN A 155 -35.980 -69.186 29.081 1.00 0.00 H +ATOM 2359 HA ASN A 155 -37.147 -66.824 27.840 1.00 0.00 H +ATOM 2360 HB2 ASN A 155 -38.017 -67.995 29.896 1.00 0.00 H +ATOM 2361 HB3 ASN A 155 -36.593 -67.352 30.783 1.00 0.00 H +ATOM 2362 HD21 ASN A 155 -38.993 -64.856 31.642 1.00 0.00 H +ATOM 2363 HD22 ASN A 155 -38.339 -66.386 32.124 1.00 0.00 H +ATOM 2364 N LEU A 156 -34.711 -65.935 27.558 1.00 0.00 N +ATOM 2365 CA LEU A 156 -33.481 -65.158 27.468 1.00 0.00 C +ATOM 2366 C LEU A 156 -33.276 -64.719 26.026 1.00 0.00 C +ATOM 2367 O LEU A 156 -33.540 -65.485 25.099 1.00 0.00 O +ATOM 2368 CB LEU A 156 -32.276 -65.985 27.952 1.00 0.00 C +ATOM 2369 CG LEU A 156 -30.831 -65.462 28.002 1.00 0.00 C +ATOM 2370 CD1 LEU A 156 -29.990 -66.378 28.883 1.00 0.00 C +ATOM 2371 CD2 LEU A 156 -30.175 -65.345 26.629 1.00 0.00 C +ATOM 2372 H LEU A 156 -35.128 -66.281 26.718 1.00 0.00 H +ATOM 2373 HA LEU A 156 -33.565 -64.262 28.101 1.00 0.00 H +ATOM 2374 HB2 LEU A 156 -32.518 -66.288 28.982 1.00 0.00 H +ATOM 2375 HB3 LEU A 156 -32.248 -66.874 27.306 1.00 0.00 H +ATOM 2376 HG LEU A 156 -30.846 -64.463 28.461 1.00 0.00 H +ATOM 2377 HD11 LEU A 156 -28.956 -66.005 28.919 1.00 0.00 H +ATOM 2378 HD12 LEU A 156 -30.410 -66.395 29.900 1.00 0.00 H +ATOM 2379 HD13 LEU A 156 -29.998 -67.396 28.466 1.00 0.00 H +ATOM 2380 HD21 LEU A 156 -29.149 -64.967 26.744 1.00 0.00 H +ATOM 2381 HD22 LEU A 156 -30.149 -66.335 26.149 1.00 0.00 H +ATOM 2382 HD23 LEU A 156 -30.754 -64.649 26.004 1.00 0.00 H +ATOM 2383 N PHE A 157 -32.802 -63.489 25.844 1.00 0.00 N +ATOM 2384 CA PHE A 157 -32.287 -63.057 24.553 1.00 0.00 C +ATOM 2385 C PHE A 157 -31.067 -62.178 24.787 1.00 0.00 C +ATOM 2386 O PHE A 157 -30.841 -61.671 25.886 1.00 0.00 O +ATOM 2387 CB PHE A 157 -33.349 -62.327 23.703 1.00 0.00 C +ATOM 2388 CG PHE A 157 -33.805 -61.009 24.270 1.00 0.00 C +ATOM 2389 CD1 PHE A 157 -34.873 -60.951 25.149 1.00 0.00 C +ATOM 2390 CD2 PHE A 157 -33.186 -59.825 23.900 1.00 0.00 C +ATOM 2391 CE1 PHE A 157 -35.303 -59.742 25.664 1.00 0.00 C +ATOM 2392 CE2 PHE A 157 -33.609 -58.615 24.413 1.00 0.00 C +ATOM 2393 CZ PHE A 157 -34.669 -58.573 25.296 1.00 0.00 C +ATOM 2394 H PHE A 157 -32.800 -62.847 26.611 1.00 0.00 H +ATOM 2395 HA PHE A 157 -31.961 -63.943 23.989 1.00 0.00 H +ATOM 2396 HB2 PHE A 157 -32.923 -62.143 22.705 1.00 0.00 H +ATOM 2397 HB3 PHE A 157 -34.227 -62.984 23.612 1.00 0.00 H +ATOM 2398 HD1 PHE A 157 -35.377 -61.862 25.436 1.00 0.00 H +ATOM 2399 HD2 PHE A 157 -32.362 -59.849 23.202 1.00 0.00 H +ATOM 2400 HE1 PHE A 157 -36.134 -59.713 26.353 1.00 0.00 H +ATOM 2401 HE2 PHE A 157 -33.111 -57.702 24.124 1.00 0.00 H +ATOM 2402 HZ PHE A 157 -35.001 -57.627 25.698 1.00 0.00 H +ATOM 2403 N SER A 158 -30.268 -62.021 23.738 1.00 0.00 N +ATOM 2404 CA SER A 158 -29.027 -61.270 23.822 1.00 0.00 C +ATOM 2405 C SER A 158 -28.860 -60.442 22.558 1.00 0.00 C +ATOM 2406 O SER A 158 -29.254 -60.861 21.468 1.00 0.00 O +ATOM 2407 CB SER A 158 -27.823 -62.201 24.022 1.00 0.00 C +ATOM 2408 OG SER A 158 -27.693 -63.104 22.939 1.00 0.00 O +ATOM 2409 H SER A 158 -30.528 -62.432 22.864 1.00 0.00 H +ATOM 2410 HA SER A 158 -29.076 -60.584 24.681 1.00 0.00 H +ATOM 2411 HB2 SER A 158 -26.908 -61.595 24.096 1.00 0.00 H +ATOM 2412 HB3 SER A 158 -27.961 -62.772 24.952 1.00 0.00 H +ATOM 2413 HG SER A 158 -28.050 -63.949 23.186 1.00 0.00 H +ATOM 2414 N LEU A 159 -28.270 -59.259 22.717 1.00 0.00 N +ATOM 2415 CA LEU A 159 -28.136 -58.292 21.635 1.00 0.00 C +ATOM 2416 C LEU A 159 -26.680 -57.896 21.451 1.00 0.00 C +ATOM 2417 O LEU A 159 -26.016 -57.496 22.412 1.00 0.00 O +ATOM 2418 CB LEU A 159 -28.973 -57.042 21.912 1.00 0.00 C +ATOM 2419 CG LEU A 159 -30.487 -57.230 21.871 1.00 0.00 C +ATOM 2420 CD1 LEU A 159 -31.194 -55.891 21.973 1.00 0.00 C +ATOM 2421 CD2 LEU A 159 -30.859 -57.935 20.590 1.00 0.00 C +ATOM 2422 H LEU A 159 -27.903 -59.024 23.617 1.00 0.00 H +ATOM 2423 HA LEU A 159 -28.493 -58.745 20.698 1.00 0.00 H +ATOM 2424 HB2 LEU A 159 -28.706 -56.673 22.913 1.00 0.00 H +ATOM 2425 HB3 LEU A 159 -28.707 -56.285 21.160 1.00 0.00 H +ATOM 2426 HG LEU A 159 -30.788 -57.856 22.724 1.00 0.00 H +ATOM 2427 HD11 LEU A 159 -32.282 -56.047 21.942 1.00 0.00 H +ATOM 2428 HD12 LEU A 159 -30.921 -55.403 22.920 1.00 0.00 H +ATOM 2429 HD13 LEU A 159 -30.891 -55.251 21.131 1.00 0.00 H +ATOM 2430 HD21 LEU A 159 -31.949 -58.075 20.551 1.00 0.00 H +ATOM 2431 HD22 LEU A 159 -30.537 -57.328 19.731 1.00 0.00 H +ATOM 2432 HD23 LEU A 159 -30.362 -58.916 20.554 1.00 0.00 H +ATOM 2433 N GLN A 160 -26.196 -57.992 20.215 1.00 0.00 N +ATOM 2434 CA GLN A 160 -24.906 -57.442 19.814 1.00 0.00 C +ATOM 2435 C GLN A 160 -25.162 -56.416 18.716 1.00 0.00 C +ATOM 2436 O GLN A 160 -25.475 -56.788 17.582 1.00 0.00 O +ATOM 2437 CB GLN A 160 -23.967 -58.547 19.329 1.00 0.00 C +ATOM 2438 CG GLN A 160 -22.534 -58.095 19.074 1.00 0.00 C +ATOM 2439 CD GLN A 160 -21.837 -58.927 18.011 1.00 0.00 C +ATOM 2440 OE1 GLN A 160 -22.424 -59.244 16.974 1.00 0.00 O +ATOM 2441 NE2 GLN A 160 -20.583 -59.288 18.264 1.00 0.00 N +ATOM 2442 H GLN A 160 -26.745 -58.465 19.526 1.00 0.00 H +ATOM 2443 HA GLN A 160 -24.439 -56.934 20.670 1.00 0.00 H +ATOM 2444 HB2 GLN A 160 -23.946 -59.339 20.092 1.00 0.00 H +ATOM 2445 HB3 GLN A 160 -24.371 -58.953 18.390 1.00 0.00 H +ATOM 2446 HG2 GLN A 160 -22.549 -57.045 18.745 1.00 0.00 H +ATOM 2447 HG3 GLN A 160 -21.967 -58.177 20.013 1.00 0.00 H +ATOM 2448 HE21 GLN A 160 -20.078 -59.839 17.600 1.00 0.00 H +ATOM 2449 HE22 GLN A 160 -20.145 -59.009 19.118 1.00 0.00 H +ATOM 2450 N LEU A 161 -25.056 -55.130 19.054 1.00 0.00 N +ATOM 2451 CA LEU A 161 -25.202 -54.044 18.089 1.00 0.00 C +ATOM 2452 C LEU A 161 -23.815 -53.524 17.732 1.00 0.00 C +ATOM 2453 O LEU A 161 -23.065 -53.099 18.618 1.00 0.00 O +ATOM 2454 CB LEU A 161 -26.068 -52.917 18.651 1.00 0.00 C +ATOM 2455 CG LEU A 161 -27.347 -53.318 19.390 1.00 0.00 C +ATOM 2456 CD1 LEU A 161 -28.003 -52.098 20.013 1.00 0.00 C +ATOM 2457 CD2 LEU A 161 -28.306 -54.036 18.452 1.00 0.00 C +ATOM 2458 H LEU A 161 -24.869 -54.900 20.009 1.00 0.00 H +ATOM 2459 HA LEU A 161 -25.678 -54.428 17.175 1.00 0.00 H +ATOM 2460 HB2 LEU A 161 -25.447 -52.341 19.353 1.00 0.00 H +ATOM 2461 HB3 LEU A 161 -26.361 -52.273 17.808 1.00 0.00 H +ATOM 2462 HG LEU A 161 -27.072 -54.012 20.198 1.00 0.00 H +ATOM 2463 HD11 LEU A 161 -28.920 -52.403 20.540 1.00 0.00 H +ATOM 2464 HD12 LEU A 161 -27.308 -51.632 20.727 1.00 0.00 H +ATOM 2465 HD13 LEU A 161 -28.257 -51.375 19.224 1.00 0.00 H +ATOM 2466 HD21 LEU A 161 -29.217 -54.315 19.002 1.00 0.00 H +ATOM 2467 HD22 LEU A 161 -28.571 -53.369 17.618 1.00 0.00 H +ATOM 2468 HD23 LEU A 161 -27.823 -54.943 18.058 1.00 0.00 H +ATOM 2469 N CYS A 162 -23.483 -53.538 16.439 1.00 0.00 N +ATOM 2470 CA CYS A 162 -22.088 -53.365 16.048 1.00 0.00 C +ATOM 2471 C CYS A 162 -21.714 -51.919 15.735 1.00 0.00 C +ATOM 2472 O CYS A 162 -20.612 -51.480 16.084 1.00 0.00 O +ATOM 2473 CB CYS A 162 -21.769 -54.268 14.855 1.00 0.00 C +ATOM 2474 SG CYS A 162 -21.705 -56.018 15.318 1.00 0.00 S +ATOM 2475 H CYS A 162 -24.188 -53.667 15.741 1.00 0.00 H +ATOM 2476 HA CYS A 162 -21.454 -53.693 16.885 1.00 0.00 H +ATOM 2477 HB2 CYS A 162 -22.548 -54.132 14.090 1.00 0.00 H +ATOM 2478 HB3 CYS A 162 -20.793 -53.975 14.441 1.00 0.00 H +ATOM 2479 N GLY A 163 -22.600 -51.200 14.978 1.00 0.00 N +ATOM 2480 CA GLY A 163 -22.309 -49.806 14.721 1.00 0.00 C +ATOM 2481 C GLY A 163 -21.360 -49.613 13.554 1.00 0.00 C +ATOM 2482 O GLY A 163 -20.842 -50.518 12.890 1.00 0.00 O +ATOM 2483 H GLY A 163 -23.427 -51.627 14.612 1.00 0.00 H +ATOM 2484 HA2 GLY A 163 -23.252 -49.285 14.498 1.00 0.00 H +ATOM 2485 HA3 GLY A 163 -21.854 -49.369 15.622 1.00 0.00 H +ATOM 2486 N ALA A 164 -21.167 -48.263 13.319 1.00 0.00 N +ATOM 2487 CA ALA A 164 -20.290 -47.810 12.287 1.00 0.00 C +ATOM 2488 C ALA A 164 -18.892 -47.348 12.625 1.00 0.00 C +ATOM 2489 O ALA A 164 -18.589 -46.871 13.721 1.00 0.00 O +ATOM 2490 CB ALA A 164 -20.809 -47.768 10.878 1.00 0.00 C +ATOM 2491 H ALA A 164 -21.650 -47.593 13.882 1.00 0.00 H +ATOM 2492 HA ALA A 164 -19.924 -48.835 12.132 1.00 0.00 H +ATOM 2493 HB1 ALA A 164 -20.020 -47.399 10.206 1.00 0.00 H +ATOM 2494 HB2 ALA A 164 -21.111 -48.780 10.568 1.00 0.00 H +ATOM 2495 HB3 ALA A 164 -21.678 -47.095 10.827 1.00 0.00 H +ATOM 2496 N GLY A 165 -18.004 -47.471 11.573 1.00 0.00 N +ATOM 2497 CA GLY A 165 -16.651 -47.002 11.779 1.00 0.00 C +ATOM 2498 C GLY A 165 -15.859 -47.086 10.494 1.00 0.00 C +ATOM 2499 O GLY A 165 -16.088 -47.853 9.559 1.00 0.00 O +ATOM 2500 H GLY A 165 -18.287 -47.870 10.701 1.00 0.00 H +ATOM 2501 HA2 GLY A 165 -16.678 -45.956 12.119 1.00 0.00 H +ATOM 2502 HA3 GLY A 165 -16.165 -47.624 12.545 1.00 0.00 H +ATOM 2503 N PHE A 166 -14.780 -46.223 10.547 1.00 0.00 N +ATOM 2504 CA PHE A 166 -13.845 -46.160 9.462 1.00 0.00 C +ATOM 2505 C PHE A 166 -13.012 -47.376 9.114 1.00 0.00 C +ATOM 2506 O PHE A 166 -12.491 -48.066 10.002 1.00 0.00 O +ATOM 2507 CB PHE A 166 -13.392 -44.808 8.985 1.00 0.00 C +ATOM 2508 CG PHE A 166 -14.375 -44.007 8.200 1.00 0.00 C +ATOM 2509 CD1 PHE A 166 -14.043 -43.603 6.909 1.00 0.00 C +ATOM 2510 CD2 PHE A 166 -15.582 -43.598 8.762 1.00 0.00 C +ATOM 2511 CE1 PHE A 166 -14.939 -42.833 6.167 1.00 0.00 C +ATOM 2512 CE2 PHE A 166 -16.472 -42.818 8.033 1.00 0.00 C +ATOM 2513 CZ PHE A 166 -16.156 -42.442 6.731 1.00 0.00 C +ATOM 2514 H PHE A 166 -14.650 -45.640 11.348 1.00 0.00 H +ATOM 2515 HA PHE A 166 -14.589 -46.310 8.665 1.00 0.00 H +ATOM 2516 HB2 PHE A 166 -13.115 -44.218 9.872 1.00 0.00 H +ATOM 2517 HB3 PHE A 166 -12.505 -44.958 8.352 1.00 0.00 H +ATOM 2518 HD1 PHE A 166 -13.093 -43.887 6.481 1.00 0.00 H +ATOM 2519 HD2 PHE A 166 -15.828 -43.889 9.773 1.00 0.00 H +ATOM 2520 HE1 PHE A 166 -14.693 -42.540 5.157 1.00 0.00 H +ATOM 2521 HE2 PHE A 166 -17.407 -42.506 8.475 1.00 0.00 H +ATOM 2522 HZ PHE A 166 -16.850 -41.847 6.157 1.00 0.00 H +ATOM 2523 N PRO A 167 -12.799 -47.662 7.792 1.00 0.00 N +ATOM 2524 CA PRO A 167 -13.424 -46.994 6.664 1.00 0.00 C +ATOM 2525 C PRO A 167 -14.860 -47.414 6.369 1.00 0.00 C +ATOM 2526 O PRO A 167 -15.307 -48.543 6.564 1.00 0.00 O +ATOM 2527 CB PRO A 167 -12.546 -47.356 5.473 1.00 0.00 C +ATOM 2528 CG PRO A 167 -11.932 -48.697 5.861 1.00 0.00 C +ATOM 2529 CD PRO A 167 -11.864 -48.683 7.374 1.00 0.00 C +ATOM 2530 HA PRO A 167 -13.394 -45.904 6.811 1.00 0.00 H +ATOM 2531 HB2 PRO A 167 -13.149 -47.452 4.558 1.00 0.00 H +ATOM 2532 HB3 PRO A 167 -11.764 -46.598 5.319 1.00 0.00 H +ATOM 2533 HG2 PRO A 167 -12.565 -49.526 5.512 1.00 0.00 H +ATOM 2534 HG3 PRO A 167 -10.924 -48.799 5.432 1.00 0.00 H +ATOM 2535 HD2 PRO A 167 -10.847 -48.434 7.711 1.00 0.00 H +ATOM 2536 HD3 PRO A 167 -12.156 -49.662 7.781 1.00 0.00 H +ATOM 2537 N LEU A 168 -15.563 -46.374 5.799 1.00 0.00 N +ATOM 2538 CA LEU A 168 -16.890 -46.574 5.313 1.00 0.00 C +ATOM 2539 C LEU A 168 -17.116 -47.210 3.975 1.00 0.00 C +ATOM 2540 O LEU A 168 -16.362 -47.029 3.007 1.00 0.00 O +ATOM 2541 CB LEU A 168 -18.027 -45.924 6.034 1.00 0.00 C +ATOM 2542 CG LEU A 168 -18.361 -46.571 7.334 1.00 0.00 C +ATOM 2543 CD1 LEU A 168 -18.484 -45.716 8.554 1.00 0.00 C +ATOM 2544 CD2 LEU A 168 -18.632 -48.041 7.438 1.00 0.00 C +ATOM 2545 H LEU A 168 -15.139 -45.472 5.724 1.00 0.00 H +ATOM 2546 HA LEU A 168 -17.012 -47.525 5.853 1.00 0.00 H +ATOM 2547 HB2 LEU A 168 -17.760 -44.874 6.226 1.00 0.00 H +ATOM 2548 HB3 LEU A 168 -18.916 -45.964 5.387 1.00 0.00 H +ATOM 2549 HG LEU A 168 -17.294 -46.738 7.542 1.00 0.00 H +ATOM 2550 HD11 LEU A 168 -18.734 -46.347 9.421 1.00 0.00 H +ATOM 2551 HD12 LEU A 168 -17.530 -45.201 8.739 1.00 0.00 H +ATOM 2552 HD13 LEU A 168 -19.280 -44.972 8.402 1.00 0.00 H +ATOM 2553 HD21 LEU A 168 -18.856 -48.301 8.483 1.00 0.00 H +ATOM 2554 HD22 LEU A 168 -19.491 -48.302 6.803 1.00 0.00 H +ATOM 2555 HD23 LEU A 168 -17.746 -48.601 7.103 1.00 0.00 H +ATOM 2556 N ASN A 169 -18.283 -47.946 3.904 1.00 0.00 N +ATOM 2557 CA ASN A 169 -18.733 -48.393 2.627 1.00 0.00 C +ATOM 2558 C ASN A 169 -19.399 -47.410 1.702 1.00 0.00 C +ATOM 2559 O ASN A 169 -19.059 -47.215 0.531 1.00 0.00 O +ATOM 2560 CB ASN A 169 -18.628 -49.842 2.319 1.00 0.00 C +ATOM 2561 CG ASN A 169 -18.000 -50.068 0.978 1.00 0.00 C +ATOM 2562 OD1 ASN A 169 -16.774 -50.141 0.809 1.00 0.00 O +ATOM 2563 ND2 ASN A 169 -18.941 -50.225 -0.019 1.00 0.00 N +ATOM 2564 H ASN A 169 -18.802 -48.160 4.731 1.00 0.00 H +ATOM 2565 HA ASN A 169 -17.749 -48.195 2.177 1.00 0.00 H +ATOM 2566 HB2 ASN A 169 -18.012 -50.329 3.089 1.00 0.00 H +ATOM 2567 HB3 ASN A 169 -19.635 -50.284 2.322 1.00 0.00 H +ATOM 2568 HD21 ASN A 169 -18.649 -50.412 -0.957 1.00 0.00 H +ATOM 2569 HD22 ASN A 169 -19.915 -50.151 0.196 1.00 0.00 H +ATOM 2570 N GLN A 170 -20.470 -46.774 2.305 1.00 0.00 N +ATOM 2571 CA GLN A 170 -21.244 -45.820 1.575 1.00 0.00 C +ATOM 2572 C GLN A 170 -20.887 -44.359 1.641 1.00 0.00 C +ATOM 2573 O GLN A 170 -20.672 -43.760 2.695 1.00 0.00 O +ATOM 2574 CB GLN A 170 -22.472 -46.245 0.817 1.00 0.00 C +ATOM 2575 CG GLN A 170 -22.353 -47.575 0.105 1.00 0.00 C +ATOM 2576 CD GLN A 170 -22.719 -48.695 1.039 1.00 0.00 C +ATOM 2577 OE1 GLN A 170 -21.897 -49.535 1.408 1.00 0.00 O +ATOM 2578 NE2 GLN A 170 -24.039 -48.653 1.438 1.00 0.00 N +ATOM 2579 H GLN A 170 -20.703 -46.982 3.255 1.00 0.00 H +ATOM 2580 HA GLN A 170 -20.617 -45.958 0.682 1.00 0.00 H +ATOM 2581 HB2 GLN A 170 -23.306 -46.313 1.531 1.00 0.00 H +ATOM 2582 HB3 GLN A 170 -22.694 -45.473 0.066 1.00 0.00 H +ATOM 2583 HG2 GLN A 170 -23.032 -47.586 -0.761 1.00 0.00 H +ATOM 2584 HG3 GLN A 170 -21.317 -47.712 -0.240 1.00 0.00 H +ATOM 2585 HE21 GLN A 170 -24.391 -49.340 2.073 1.00 0.00 H +ATOM 2586 HE22 GLN A 170 -24.643 -47.935 1.092 1.00 0.00 H +ATOM 2587 N SER A 171 -20.870 -43.765 0.398 1.00 0.00 N +ATOM 2588 CA SER A 171 -20.811 -42.341 0.294 1.00 0.00 C +ATOM 2589 C SER A 171 -22.080 -41.540 0.309 1.00 0.00 C +ATOM 2590 O SER A 171 -22.314 -40.635 1.120 1.00 0.00 O +ATOM 2591 CB SER A 171 -19.497 -41.650 0.136 1.00 0.00 C +ATOM 2592 OG SER A 171 -19.046 -41.801 -1.214 1.00 0.00 O +ATOM 2593 H SER A 171 -20.898 -44.328 -0.429 1.00 0.00 H +ATOM 2594 HA SER A 171 -20.734 -42.256 1.388 1.00 0.00 H +ATOM 2595 HB2 SER A 171 -19.612 -40.581 0.368 1.00 0.00 H +ATOM 2596 HB3 SER A 171 -18.761 -42.097 0.821 1.00 0.00 H +ATOM 2597 HG SER A 171 -18.707 -40.972 -1.530 1.00 0.00 H +ATOM 2598 N GLU A 172 -22.936 -41.941 -0.688 1.00 0.00 N +ATOM 2599 CA GLU A 172 -24.225 -41.358 -0.851 1.00 0.00 C +ATOM 2600 C GLU A 172 -25.347 -41.603 0.146 1.00 0.00 C +ATOM 2601 O GLU A 172 -26.307 -40.845 0.308 1.00 0.00 O +ATOM 2602 CB GLU A 172 -24.486 -40.472 -2.032 1.00 0.00 C +ATOM 2603 CG GLU A 172 -23.588 -40.816 -3.202 1.00 0.00 C +ATOM 2604 CD GLU A 172 -23.933 -39.757 -4.199 1.00 0.00 C +ATOM 2605 OE1 GLU A 172 -23.211 -38.711 -4.203 1.00 0.00 O +ATOM 2606 OE2 GLU A 172 -24.926 -40.000 -4.963 1.00 0.00 O1- +ATOM 2607 H GLU A 172 -22.646 -42.663 -1.316 1.00 0.00 H +ATOM 2608 HA GLU A 172 -24.549 -42.233 -1.434 1.00 0.00 H +ATOM 2609 HB2 GLU A 172 -25.535 -40.591 -2.341 1.00 0.00 H +ATOM 2610 HB3 GLU A 172 -24.307 -39.426 -1.740 1.00 0.00 H +ATOM 2611 HG2 GLU A 172 -22.527 -40.762 -2.918 1.00 0.00 H +ATOM 2612 HG3 GLU A 172 -23.812 -41.819 -3.594 1.00 0.00 H +ATOM 2613 N VAL A 173 -25.216 -42.820 0.798 1.00 0.00 N +ATOM 2614 CA VAL A 173 -26.114 -43.202 1.844 1.00 0.00 C +ATOM 2615 C VAL A 173 -25.627 -43.123 3.261 1.00 0.00 C +ATOM 2616 O VAL A 173 -24.597 -42.517 3.606 1.00 0.00 O +ATOM 2617 CB VAL A 173 -27.448 -43.718 1.474 1.00 0.00 C +ATOM 2618 CG1 VAL A 173 -28.668 -42.852 1.405 1.00 0.00 C +ATOM 2619 CG2 VAL A 173 -27.582 -45.168 1.141 1.00 0.00 C +ATOM 2620 H VAL A 173 -24.480 -43.442 0.532 1.00 0.00 H +ATOM 2621 HA VAL A 173 -26.508 -42.177 1.905 1.00 0.00 H +ATOM 2622 HB VAL A 173 -27.660 -43.938 2.531 1.00 0.00 H +ATOM 2623 HG11 VAL A 173 -29.535 -43.462 1.109 1.00 0.00 H +ATOM 2624 HG12 VAL A 173 -28.855 -42.403 2.392 1.00 0.00 H +ATOM 2625 HG13 VAL A 173 -28.510 -42.055 0.664 1.00 0.00 H +ATOM 2626 HG21 VAL A 173 -28.629 -45.391 0.888 1.00 0.00 H +ATOM 2627 HG22 VAL A 173 -26.939 -45.407 0.281 1.00 0.00 H +ATOM 2628 HG23 VAL A 173 -27.277 -45.773 2.007 1.00 0.00 H +ATOM 2629 N LEU A 174 -26.404 -43.863 4.148 1.00 0.00 N +ATOM 2630 CA LEU A 174 -25.934 -44.091 5.482 1.00 0.00 C +ATOM 2631 C LEU A 174 -24.743 -44.993 5.722 1.00 0.00 C +ATOM 2632 O LEU A 174 -24.423 -45.904 4.948 1.00 0.00 O +ATOM 2633 CB LEU A 174 -26.769 -43.618 6.625 1.00 0.00 C +ATOM 2634 CG LEU A 174 -27.006 -42.134 6.616 1.00 0.00 C +ATOM 2635 CD1 LEU A 174 -28.406 -41.617 6.619 1.00 0.00 C +ATOM 2636 CD2 LEU A 174 -25.859 -41.177 6.626 1.00 0.00 C +ATOM 2637 H LEU A 174 -27.286 -44.234 3.855 1.00 0.00 H +ATOM 2638 HA LEU A 174 -25.316 -43.181 5.483 1.00 0.00 H +ATOM 2639 HB2 LEU A 174 -27.743 -44.127 6.580 1.00 0.00 H +ATOM 2640 HB3 LEU A 174 -26.260 -43.884 7.563 1.00 0.00 H +ATOM 2641 HG LEU A 174 -27.003 -42.135 5.516 1.00 0.00 H +ATOM 2642 HD11 LEU A 174 -28.392 -40.517 6.611 1.00 0.00 H +ATOM 2643 HD12 LEU A 174 -28.934 -41.982 5.726 1.00 0.00 H +ATOM 2644 HD13 LEU A 174 -28.926 -41.970 7.522 1.00 0.00 H +ATOM 2645 HD21 LEU A 174 -26.242 -40.145 6.617 1.00 0.00 H +ATOM 2646 HD22 LEU A 174 -25.256 -41.336 7.532 1.00 0.00 H +ATOM 2647 HD23 LEU A 174 -25.234 -41.344 5.736 1.00 0.00 H +ATOM 2648 N ALA A 175 -24.097 -44.754 6.915 1.00 0.00 N +ATOM 2649 CA ALA A 175 -23.115 -45.691 7.358 1.00 0.00 C +ATOM 2650 C ALA A 175 -23.587 -47.030 7.869 1.00 0.00 C +ATOM 2651 O ALA A 175 -24.581 -47.155 8.588 1.00 0.00 O +ATOM 2652 CB ALA A 175 -21.669 -45.324 7.285 1.00 0.00 C +ATOM 2653 H ALA A 175 -24.311 -43.942 7.458 1.00 0.00 H +ATOM 2654 HA ALA A 175 -23.173 -45.277 8.376 1.00 0.00 H +ATOM 2655 HB1 ALA A 175 -21.059 -46.157 7.665 1.00 0.00 H +ATOM 2656 HB2 ALA A 175 -21.396 -45.117 6.240 1.00 0.00 H +ATOM 2657 HB3 ALA A 175 -21.486 -44.428 7.896 1.00 0.00 H +ATOM 2658 N SER A 176 -22.820 -48.088 7.405 1.00 0.00 N +ATOM 2659 CA SER A 176 -23.369 -49.405 7.502 1.00 0.00 C +ATOM 2660 C SER A 176 -23.466 -50.128 8.812 1.00 0.00 C +ATOM 2661 O SER A 176 -22.491 -50.465 9.486 1.00 0.00 O +ATOM 2662 CB SER A 176 -24.021 -50.058 6.309 1.00 0.00 C +ATOM 2663 OG SER A 176 -23.423 -49.626 5.077 1.00 0.00 O +ATOM 2664 H SER A 176 -21.912 -47.935 7.016 1.00 0.00 H +ATOM 2665 HA SER A 176 -22.399 -49.870 7.274 1.00 0.00 H +ATOM 2666 HB2 SER A 176 -23.912 -51.149 6.395 1.00 0.00 H +ATOM 2667 HB3 SER A 176 -25.089 -49.796 6.298 1.00 0.00 H +ATOM 2668 HG SER A 176 -23.135 -48.725 5.162 1.00 0.00 H +ATOM 2669 N VAL A 177 -24.781 -50.324 9.194 1.00 0.00 N +ATOM 2670 CA VAL A 177 -25.105 -50.973 10.424 1.00 0.00 C +ATOM 2671 C VAL A 177 -25.312 -52.465 10.423 1.00 0.00 C +ATOM 2672 O VAL A 177 -25.808 -53.049 9.453 1.00 0.00 O +ATOM 2673 CB VAL A 177 -25.431 -50.111 11.582 1.00 0.00 C +ATOM 2674 CG1 VAL A 177 -24.381 -49.328 12.299 1.00 0.00 C +ATOM 2675 CG2 VAL A 177 -26.860 -49.934 11.994 1.00 0.00 C +ATOM 2676 H VAL A 177 -25.518 -50.005 8.598 1.00 0.00 H +ATOM 2677 HA VAL A 177 -24.050 -51.066 10.720 1.00 0.00 H +ATOM 2678 HB VAL A 177 -25.310 -50.956 12.276 1.00 0.00 H +ATOM 2679 HG11 VAL A 177 -24.842 -48.762 13.121 1.00 0.00 H +ATOM 2680 HG12 VAL A 177 -23.625 -50.016 12.706 1.00 0.00 H +ATOM 2681 HG13 VAL A 177 -23.901 -48.631 11.597 1.00 0.00 H +ATOM 2682 HG21 VAL A 177 -26.910 -49.265 12.866 1.00 0.00 H +ATOM 2683 HG22 VAL A 177 -27.430 -49.494 11.162 1.00 0.00 H +ATOM 2684 HG23 VAL A 177 -27.290 -50.911 12.257 1.00 0.00 H +ATOM 2685 N GLY A 178 -24.988 -53.109 11.600 1.00 0.00 N +ATOM 2686 CA GLY A 178 -25.434 -54.483 11.668 1.00 0.00 C +ATOM 2687 C GLY A 178 -25.291 -55.009 13.080 1.00 0.00 C +ATOM 2688 O GLY A 178 -24.871 -54.294 13.991 1.00 0.00 O +ATOM 2689 H GLY A 178 -24.488 -52.663 12.342 1.00 0.00 H +ATOM 2690 HA2 GLY A 178 -26.490 -54.538 11.365 1.00 0.00 H +ATOM 2691 HA3 GLY A 178 -24.825 -55.097 10.988 1.00 0.00 H +ATOM 2692 N GLY A 179 -25.650 -56.273 13.260 1.00 0.00 N +ATOM 2693 CA GLY A 179 -25.520 -56.896 14.566 1.00 0.00 C +ATOM 2694 C GLY A 179 -26.268 -58.219 14.629 1.00 0.00 C +ATOM 2695 O GLY A 179 -26.595 -58.811 13.605 1.00 0.00 O +ATOM 2696 H GLY A 179 -26.013 -56.801 12.492 1.00 0.00 H +ATOM 2697 HA2 GLY A 179 -24.455 -57.077 14.771 1.00 0.00 H +ATOM 2698 HA3 GLY A 179 -25.930 -56.217 15.328 1.00 0.00 H +ATOM 2699 N SER A 180 -26.523 -58.660 15.865 1.00 0.00 N +ATOM 2700 CA SER A 180 -27.141 -59.956 16.128 1.00 0.00 C +ATOM 2701 C SER A 180 -28.148 -59.854 17.263 1.00 0.00 C +ATOM 2702 O SER A 180 -27.876 -59.219 18.287 1.00 0.00 O +ATOM 2703 CB SER A 180 -26.093 -61.015 16.492 1.00 0.00 C +ATOM 2704 OG SER A 180 -25.216 -61.272 15.422 1.00 0.00 O +ATOM 2705 H SER A 180 -26.280 -58.078 16.641 1.00 0.00 H +ATOM 2706 HA SER A 180 -27.670 -60.293 15.225 1.00 0.00 H +ATOM 2707 HB2 SER A 180 -25.509 -60.657 17.353 1.00 0.00 H +ATOM 2708 HB3 SER A 180 -26.609 -61.948 16.762 1.00 0.00 H +ATOM 2709 HG SER A 180 -24.369 -60.882 15.605 1.00 0.00 H +ATOM 2710 N MET A 181 -29.298 -60.507 17.086 1.00 0.00 N +ATOM 2711 CA MET A 181 -30.249 -60.762 18.164 1.00 0.00 C +ATOM 2712 C MET A 181 -30.375 -62.272 18.321 1.00 0.00 C +ATOM 2713 O MET A 181 -30.994 -62.937 17.485 1.00 0.00 O +ATOM 2714 CB MET A 181 -31.611 -60.133 17.880 1.00 0.00 C +ATOM 2715 CG MET A 181 -32.661 -60.528 18.919 1.00 0.00 C +ATOM 2716 SD MET A 181 -34.241 -59.675 18.777 1.00 0.00 S +ATOM 2717 CE MET A 181 -34.751 -60.166 17.135 1.00 0.00 C +ATOM 2718 H MET A 181 -29.520 -60.838 16.169 1.00 0.00 H +ATOM 2719 HA MET A 181 -29.859 -60.343 19.103 1.00 0.00 H +ATOM 2720 HB2 MET A 181 -31.503 -59.038 17.885 1.00 0.00 H +ATOM 2721 HB3 MET A 181 -31.953 -60.463 16.888 1.00 0.00 H +ATOM 2722 HG2 MET A 181 -32.847 -61.608 18.821 1.00 0.00 H +ATOM 2723 HG3 MET A 181 -32.249 -60.316 19.917 1.00 0.00 H +ATOM 2724 HE1 MET A 181 -35.849 -60.164 17.076 1.00 0.00 H +ATOM 2725 HE2 MET A 181 -34.343 -59.459 16.398 1.00 0.00 H +ATOM 2726 HE3 MET A 181 -34.374 -61.177 16.921 1.00 0.00 H +ATOM 2727 N ILE A 182 -29.782 -62.812 19.379 1.00 0.00 N +ATOM 2728 CA ILE A 182 -29.830 -64.245 19.638 1.00 0.00 C +ATOM 2729 C ILE A 182 -31.053 -64.514 20.501 1.00 0.00 C +ATOM 2730 O ILE A 182 -31.092 -64.144 21.677 1.00 0.00 O +ATOM 2731 CB ILE A 182 -28.551 -64.747 20.315 1.00 0.00 C +ATOM 2732 CG1 ILE A 182 -27.321 -64.255 19.556 1.00 0.00 C +ATOM 2733 CG2 ILE A 182 -28.561 -66.270 20.396 1.00 0.00 C +ATOM 2734 CD1 ILE A 182 -27.263 -64.732 18.125 1.00 0.00 C +ATOM 2735 H ILE A 182 -29.289 -62.219 20.016 1.00 0.00 H +ATOM 2736 HA ILE A 182 -29.951 -64.782 18.686 1.00 0.00 H +ATOM 2737 HB ILE A 182 -28.516 -64.342 21.337 1.00 0.00 H +ATOM 2738 HG12 ILE A 182 -27.330 -63.155 19.556 1.00 0.00 H +ATOM 2739 HG13 ILE A 182 -26.423 -64.615 20.079 1.00 0.00 H +ATOM 2740 HG21 ILE A 182 -27.638 -66.618 20.884 1.00 0.00 H +ATOM 2741 HG22 ILE A 182 -29.432 -66.600 20.981 1.00 0.00 H +ATOM 2742 HG23 ILE A 182 -28.620 -66.691 19.381 1.00 0.00 H +ATOM 2743 HD11 ILE A 182 -26.355 -64.340 17.644 1.00 0.00 H +ATOM 2744 HD12 ILE A 182 -27.243 -65.832 18.106 1.00 0.00 H +ATOM 2745 HD13 ILE A 182 -28.150 -64.372 17.582 1.00 0.00 H +ATOM 2746 N ILE A 183 -32.059 -65.148 19.916 1.00 0.00 N +ATOM 2747 CA ILE A 183 -33.278 -65.476 20.644 1.00 0.00 C +ATOM 2748 C ILE A 183 -33.074 -66.803 21.355 1.00 0.00 C +ATOM 2749 O ILE A 183 -32.809 -67.830 20.716 1.00 0.00 O +ATOM 2750 CB ILE A 183 -34.489 -65.533 19.704 1.00 0.00 C +ATOM 2751 CG1 ILE A 183 -34.753 -64.159 19.084 1.00 0.00 C +ATOM 2752 CG2 ILE A 183 -35.706 -66.040 20.453 1.00 0.00 C +ATOM 2753 CD1 ILE A 183 -35.349 -63.160 20.052 1.00 0.00 C +ATOM 2754 H ILE A 183 -31.980 -65.407 18.953 1.00 0.00 H +ATOM 2755 HA ILE A 183 -33.467 -64.701 21.402 1.00 0.00 H +ATOM 2756 HB ILE A 183 -34.261 -66.239 18.892 1.00 0.00 H +ATOM 2757 HG12 ILE A 183 -33.799 -63.756 18.713 1.00 0.00 H +ATOM 2758 HG13 ILE A 183 -35.450 -64.286 18.243 1.00 0.00 H +ATOM 2759 HG21 ILE A 183 -36.568 -66.077 19.771 1.00 0.00 H +ATOM 2760 HG22 ILE A 183 -35.503 -67.049 20.842 1.00 0.00 H +ATOM 2761 HG23 ILE A 183 -35.930 -65.362 21.290 1.00 0.00 H +ATOM 2762 HD11 ILE A 183 -35.510 -62.201 19.538 1.00 0.00 H +ATOM 2763 HD12 ILE A 183 -36.311 -63.541 20.426 1.00 0.00 H +ATOM 2764 HD13 ILE A 183 -34.660 -63.012 20.896 1.00 0.00 H +ATOM 2765 N GLY A 184 -33.183 -66.789 22.677 1.00 0.00 N +ATOM 2766 CA GLY A 184 -33.095 -67.999 23.460 1.00 0.00 C +ATOM 2767 C GLY A 184 -31.705 -68.444 23.848 1.00 0.00 C +ATOM 2768 O GLY A 184 -31.552 -69.575 24.322 1.00 0.00 O +ATOM 2769 H GLY A 184 -33.330 -65.917 23.144 1.00 0.00 H +ATOM 2770 HA2 GLY A 184 -33.667 -67.842 24.386 1.00 0.00 H +ATOM 2771 HA3 GLY A 184 -33.556 -68.810 22.877 1.00 0.00 H +ATOM 2772 N GLY A 185 -30.686 -67.607 23.675 1.00 0.00 N +ATOM 2773 CA GLY A 185 -29.368 -68.096 24.025 1.00 0.00 C +ATOM 2774 C GLY A 185 -28.309 -67.018 24.079 1.00 0.00 C +ATOM 2775 O GLY A 185 -28.577 -65.831 23.884 1.00 0.00 O +ATOM 2776 H GLY A 185 -30.823 -66.682 23.320 1.00 0.00 H +ATOM 2777 HA2 GLY A 185 -29.427 -68.573 25.014 1.00 0.00 H +ATOM 2778 HA3 GLY A 185 -29.065 -68.842 23.275 1.00 0.00 H +ATOM 2779 N ILE A 186 -27.089 -67.470 24.359 1.00 0.00 N +ATOM 2780 CA ILE A 186 -25.893 -66.639 24.405 1.00 0.00 C +ATOM 2781 C ILE A 186 -24.901 -67.254 23.426 1.00 0.00 C +ATOM 2782 O ILE A 186 -24.471 -68.400 23.614 1.00 0.00 O +ATOM 2783 CB ILE A 186 -25.289 -66.567 25.816 1.00 0.00 C +ATOM 2784 CG1 ILE A 186 -26.330 -66.103 26.839 1.00 0.00 C +ATOM 2785 CG2 ILE A 186 -24.067 -65.660 25.829 1.00 0.00 C +ATOM 2786 CD1 ILE A 186 -25.827 -66.137 28.272 1.00 0.00 C +ATOM 2787 H ILE A 186 -26.986 -68.446 24.551 1.00 0.00 H +ATOM 2788 HA ILE A 186 -26.135 -65.619 24.072 1.00 0.00 H +ATOM 2789 HB ILE A 186 -24.965 -67.580 26.097 1.00 0.00 H +ATOM 2790 HG12 ILE A 186 -26.621 -65.070 26.596 1.00 0.00 H +ATOM 2791 HG13 ILE A 186 -27.210 -66.759 26.763 1.00 0.00 H +ATOM 2792 HG21 ILE A 186 -23.649 -65.621 26.846 1.00 0.00 H +ATOM 2793 HG22 ILE A 186 -23.309 -66.056 25.136 1.00 0.00 H +ATOM 2794 HG23 ILE A 186 -24.359 -64.647 25.514 1.00 0.00 H +ATOM 2795 HD11 ILE A 186 -26.623 -65.793 28.949 1.00 0.00 H +ATOM 2796 HD12 ILE A 186 -25.541 -67.166 28.536 1.00 0.00 H +ATOM 2797 HD13 ILE A 186 -24.952 -65.477 28.369 1.00 0.00 H +ATOM 2798 N ASP A 187 -24.537 -66.509 22.385 1.00 0.00 N +ATOM 2799 CA ASP A 187 -23.600 -67.004 21.383 1.00 0.00 C +ATOM 2800 C ASP A 187 -22.177 -66.664 21.809 1.00 0.00 C +ATOM 2801 O ASP A 187 -21.836 -65.488 21.980 1.00 0.00 O +ATOM 2802 CB ASP A 187 -23.894 -66.423 20.002 1.00 0.00 C +ATOM 2803 CG ASP A 187 -23.089 -67.105 18.907 1.00 0.00 C +ATOM 2804 OD1 ASP A 187 -23.665 -67.920 18.155 1.00 0.00 O +ATOM 2805 OD2 ASP A 187 -21.870 -66.847 18.812 1.00 0.00 O1- +ATOM 2806 H ASP A 187 -24.915 -65.588 22.288 1.00 0.00 H +ATOM 2807 HA ASP A 187 -23.687 -68.099 21.320 1.00 0.00 H +ATOM 2808 HB2 ASP A 187 -24.965 -66.550 19.785 1.00 0.00 H +ATOM 2809 HB3 ASP A 187 -23.646 -65.351 20.009 1.00 0.00 H +ATOM 2810 N HIS A 188 -21.343 -67.698 21.939 1.00 0.00 N +ATOM 2811 CA HIS A 188 -20.007 -67.523 22.498 1.00 0.00 C +ATOM 2812 C HIS A 188 -19.095 -66.734 21.570 1.00 0.00 C +ATOM 2813 O HIS A 188 -18.102 -66.157 22.024 1.00 0.00 O +ATOM 2814 CB HIS A 188 -19.395 -68.892 22.798 1.00 0.00 C +ATOM 2815 CG HIS A 188 -18.548 -68.923 24.031 1.00 0.00 C +ATOM 2816 ND1 HIS A 188 -18.765 -68.535 25.336 1.00 0.00 N +ATOM 2817 CD2 HIS A 188 -17.289 -69.419 23.990 1.00 0.00 C +ATOM 2818 CE1 HIS A 188 -17.685 -68.788 26.054 1.00 0.00 C +ATOM 2819 NE2 HIS A 188 -16.775 -69.324 25.261 1.00 0.00 N +ATOM 2820 H HIS A 188 -21.639 -68.608 21.648 1.00 0.00 H +ATOM 2821 HA HIS A 188 -20.088 -66.972 23.447 1.00 0.00 H +ATOM 2822 HB2 HIS A 188 -20.213 -69.617 22.922 1.00 0.00 H +ATOM 2823 HB3 HIS A 188 -18.770 -69.187 21.942 1.00 0.00 H +ATOM 2824 HD1 HIS A 188 -19.608 -68.125 25.685 1.00 0.00 H +ATOM 2825 HD2 HIS A 188 -16.783 -69.814 23.122 1.00 0.00 H +ATOM 2826 HE1 HIS A 188 -17.567 -68.590 27.109 1.00 0.00 H +ATOM 2827 N SER A 189 -19.402 -66.700 20.276 1.00 0.00 N +ATOM 2828 CA SER A 189 -18.508 -66.060 19.321 1.00 0.00 C +ATOM 2829 C SER A 189 -18.690 -64.551 19.243 1.00 0.00 C +ATOM 2830 O SER A 189 -17.899 -63.887 18.566 1.00 0.00 O +ATOM 2831 CB SER A 189 -18.707 -66.662 17.932 1.00 0.00 C +ATOM 2832 OG SER A 189 -19.924 -66.210 17.363 1.00 0.00 O +ATOM 2833 H SER A 189 -20.253 -67.117 19.957 1.00 0.00 H +ATOM 2834 HA SER A 189 -17.470 -66.258 19.626 1.00 0.00 H +ATOM 2835 HB2 SER A 189 -17.871 -66.361 17.284 1.00 0.00 H +ATOM 2836 HB3 SER A 189 -18.731 -67.759 18.013 1.00 0.00 H +ATOM 2837 HG SER A 189 -20.649 -66.460 17.924 1.00 0.00 H +ATOM 2838 N LEU A 190 -19.695 -63.999 19.914 1.00 0.00 N +ATOM 2839 CA LEU A 190 -19.984 -62.573 19.832 1.00 0.00 C +ATOM 2840 C LEU A 190 -19.358 -61.758 20.958 1.00 0.00 C +ATOM 2841 O LEU A 190 -19.558 -60.540 20.999 1.00 0.00 O +ATOM 2842 CB LEU A 190 -21.501 -62.341 19.810 1.00 0.00 C +ATOM 2843 CG LEU A 190 -22.290 -63.130 18.762 1.00 0.00 C +ATOM 2844 CD1 LEU A 190 -23.763 -62.747 18.805 1.00 0.00 C +ATOM 2845 CD2 LEU A 190 -21.707 -62.907 17.377 1.00 0.00 C +ATOM 2846 H LEU A 190 -20.270 -64.579 20.492 1.00 0.00 H +ATOM 2847 HA LEU A 190 -19.579 -62.192 18.883 1.00 0.00 H +ATOM 2848 HB2 LEU A 190 -21.896 -62.610 20.801 1.00 0.00 H +ATOM 2849 HB3 LEU A 190 -21.674 -61.271 19.625 1.00 0.00 H +ATOM 2850 HG LEU A 190 -22.205 -64.200 19.004 1.00 0.00 H +ATOM 2851 HD11 LEU A 190 -24.314 -63.322 18.047 1.00 0.00 H +ATOM 2852 HD12 LEU A 190 -24.171 -62.970 19.802 1.00 0.00 H +ATOM 2853 HD13 LEU A 190 -23.868 -61.672 18.597 1.00 0.00 H +ATOM 2854 HD21 LEU A 190 -22.286 -63.481 16.638 1.00 0.00 H +ATOM 2855 HD22 LEU A 190 -21.753 -61.837 17.128 1.00 0.00 H +ATOM 2856 HD23 LEU A 190 -20.659 -63.242 17.362 1.00 0.00 H +ATOM 2857 N TYR A 191 -18.604 -62.378 21.864 1.00 0.00 N +ATOM 2858 CA TYR A 191 -17.946 -61.632 22.929 1.00 0.00 C +ATOM 2859 C TYR A 191 -16.613 -62.276 23.288 1.00 0.00 C +ATOM 2860 O TYR A 191 -16.322 -63.414 22.917 1.00 0.00 O +ATOM 2861 CB TYR A 191 -18.840 -61.504 24.178 1.00 0.00 C +ATOM 2862 CG TYR A 191 -19.075 -62.777 24.970 1.00 0.00 C +ATOM 2863 CD1 TYR A 191 -19.981 -63.738 24.535 1.00 0.00 C +ATOM 2864 CD2 TYR A 191 -18.423 -62.997 26.177 1.00 0.00 C +ATOM 2865 CE1 TYR A 191 -20.211 -64.892 25.266 1.00 0.00 C +ATOM 2866 CE2 TYR A 191 -18.648 -64.149 26.918 1.00 0.00 C +ATOM 2867 CZ TYR A 191 -19.544 -65.095 26.455 1.00 0.00 C +ATOM 2868 OH TYR A 191 -19.780 -66.246 27.175 1.00 0.00 O +ATOM 2869 H TYR A 191 -18.488 -63.370 21.813 1.00 0.00 H +ATOM 2870 HA TYR A 191 -17.738 -60.615 22.566 1.00 0.00 H +ATOM 2871 HB2 TYR A 191 -18.371 -60.772 24.852 1.00 0.00 H +ATOM 2872 HB3 TYR A 191 -19.820 -61.127 23.851 1.00 0.00 H +ATOM 2873 HD1 TYR A 191 -20.515 -63.582 23.610 1.00 0.00 H +ATOM 2874 HD2 TYR A 191 -17.728 -62.257 26.546 1.00 0.00 H +ATOM 2875 HE1 TYR A 191 -20.911 -65.631 24.905 1.00 0.00 H +ATOM 2876 HE2 TYR A 191 -18.126 -64.305 27.851 1.00 0.00 H +ATOM 2877 HH TYR A 191 -19.851 -66.034 28.098 1.00 0.00 H +ATOM 2878 N THR A 192 -15.790 -61.511 24.002 1.00 0.00 N +ATOM 2879 CA THR A 192 -14.557 -62.002 24.599 1.00 0.00 C +ATOM 2880 C THR A 192 -14.568 -61.658 26.081 1.00 0.00 C +ATOM 2881 O THR A 192 -15.286 -60.759 26.524 1.00 0.00 O +ATOM 2882 CB THR A 192 -13.298 -61.404 23.939 1.00 0.00 C +ATOM 2883 OG1 THR A 192 -13.293 -59.980 24.102 1.00 0.00 O +ATOM 2884 CG2 THR A 192 -13.247 -61.743 22.455 1.00 0.00 C +ATOM 2885 H THR A 192 -16.031 -60.550 24.135 1.00 0.00 H +ATOM 2886 HA THR A 192 -14.513 -63.096 24.496 1.00 0.00 H +ATOM 2887 HB THR A 192 -12.413 -61.837 24.427 1.00 0.00 H +ATOM 2888 HG1 THR A 192 -14.040 -59.718 24.628 1.00 0.00 H +ATOM 2889 HG21 THR A 192 -12.341 -61.306 22.009 1.00 0.00 H +ATOM 2890 HG22 THR A 192 -13.226 -62.836 22.329 1.00 0.00 H +ATOM 2891 HG23 THR A 192 -14.137 -61.333 21.955 1.00 0.00 H +ATOM 2892 N GLY A 193 -13.772 -62.390 26.852 1.00 0.00 N +ATOM 2893 CA GLY A 193 -13.728 -62.082 28.265 1.00 0.00 C +ATOM 2894 C GLY A 193 -14.919 -62.652 29.021 1.00 0.00 C +ATOM 2895 O GLY A 193 -15.637 -63.534 28.550 1.00 0.00 O +ATOM 2896 H GLY A 193 -13.220 -63.131 26.468 1.00 0.00 H +ATOM 2897 HA2 GLY A 193 -12.805 -62.504 28.690 1.00 0.00 H +ATOM 2898 HA3 GLY A 193 -13.722 -60.989 28.388 1.00 0.00 H +ATOM 2899 N SER A 194 -15.122 -62.120 30.223 1.00 0.00 N +ATOM 2900 CA SER A 194 -16.181 -62.600 31.097 1.00 0.00 C +ATOM 2901 C SER A 194 -17.483 -61.849 30.844 1.00 0.00 C +ATOM 2902 O SER A 194 -17.491 -60.696 30.404 1.00 0.00 O +ATOM 2903 CB SER A 194 -15.784 -62.449 32.568 1.00 0.00 C +ATOM 2904 OG SER A 194 -14.719 -63.321 32.913 1.00 0.00 O +ATOM 2905 H SER A 194 -14.533 -61.373 30.533 1.00 0.00 H +ATOM 2906 HA SER A 194 -16.356 -63.668 30.898 1.00 0.00 H +ATOM 2907 HB2 SER A 194 -15.468 -61.411 32.748 1.00 0.00 H +ATOM 2908 HB3 SER A 194 -16.655 -62.682 33.199 1.00 0.00 H +ATOM 2909 HG SER A 194 -14.189 -63.494 32.144 1.00 0.00 H +ATOM 2910 N LEU A 195 -18.591 -62.525 31.128 1.00 0.00 N +ATOM 2911 CA LEU A 195 -19.899 -61.887 31.187 1.00 0.00 C +ATOM 2912 C LEU A 195 -20.156 -61.474 32.630 1.00 0.00 C +ATOM 2913 O LEU A 195 -20.093 -62.310 33.539 1.00 0.00 O +ATOM 2914 CB LEU A 195 -20.995 -62.832 30.691 1.00 0.00 C +ATOM 2915 CG LEU A 195 -21.530 -62.692 29.264 1.00 0.00 C +ATOM 2916 CD1 LEU A 195 -22.331 -63.930 28.889 1.00 0.00 C +ATOM 2917 CD2 LEU A 195 -22.391 -61.447 29.146 1.00 0.00 C +ATOM 2918 H LEU A 195 -18.524 -63.507 31.308 1.00 0.00 H +ATOM 2919 HA LEU A 195 -19.899 -60.986 30.556 1.00 0.00 H +ATOM 2920 HB2 LEU A 195 -20.601 -63.855 30.785 1.00 0.00 H +ATOM 2921 HB3 LEU A 195 -21.854 -62.707 31.367 1.00 0.00 H +ATOM 2922 HG LEU A 195 -20.677 -62.600 28.576 1.00 0.00 H +ATOM 2923 HD11 LEU A 195 -22.713 -63.824 27.863 1.00 0.00 H +ATOM 2924 HD12 LEU A 195 -21.684 -64.817 28.949 1.00 0.00 H +ATOM 2925 HD13 LEU A 195 -23.176 -64.045 29.584 1.00 0.00 H +ATOM 2926 HD21 LEU A 195 -22.769 -61.358 28.117 1.00 0.00 H +ATOM 2927 HD22 LEU A 195 -23.239 -61.520 29.843 1.00 0.00 H +ATOM 2928 HD23 LEU A 195 -21.789 -60.560 29.393 1.00 0.00 H +ATOM 2929 N TRP A 196 -20.423 -60.191 32.846 1.00 0.00 N +ATOM 2930 CA TRP A 196 -20.711 -59.667 34.173 1.00 0.00 C +ATOM 2931 C TRP A 196 -22.168 -59.231 34.241 1.00 0.00 C +ATOM 2932 O TRP A 196 -22.636 -58.476 33.384 1.00 0.00 O +ATOM 2933 CB TRP A 196 -19.782 -58.504 34.520 1.00 0.00 C +ATOM 2934 CG TRP A 196 -18.433 -58.958 35.005 1.00 0.00 C +ATOM 2935 CD1 TRP A 196 -17.326 -59.197 34.246 1.00 0.00 C +ATOM 2936 CD2 TRP A 196 -18.056 -59.235 36.360 1.00 0.00 C +ATOM 2937 NE1 TRP A 196 -16.281 -59.599 35.043 1.00 0.00 N +ATOM 2938 CE2 TRP A 196 -16.704 -59.631 36.346 1.00 0.00 C +ATOM 2939 CE3 TRP A 196 -18.731 -59.182 37.584 1.00 0.00 C +ATOM 2940 CZ2 TRP A 196 -16.013 -59.973 37.508 1.00 0.00 C +ATOM 2941 CZ3 TRP A 196 -18.042 -59.523 38.737 1.00 0.00 C +ATOM 2942 CH2 TRP A 196 -16.698 -59.912 38.690 1.00 0.00 C +ATOM 2943 H TRP A 196 -20.426 -59.562 32.069 1.00 0.00 H +ATOM 2944 HA TRP A 196 -20.555 -60.463 34.916 1.00 0.00 H +ATOM 2945 HB2 TRP A 196 -19.642 -57.886 33.621 1.00 0.00 H +ATOM 2946 HB3 TRP A 196 -20.254 -57.901 35.310 1.00 0.00 H +ATOM 2947 HD1 TRP A 196 -17.277 -59.086 33.173 1.00 0.00 H +ATOM 2948 HE1 TRP A 196 -15.362 -59.830 34.724 1.00 0.00 H +ATOM 2949 HE3 TRP A 196 -19.767 -58.882 37.630 1.00 0.00 H +ATOM 2950 HZ2 TRP A 196 -14.976 -60.275 37.476 1.00 0.00 H +ATOM 2951 HZ3 TRP A 196 -18.551 -59.488 39.689 1.00 0.00 H +ATOM 2952 HH2 TRP A 196 -16.191 -60.170 39.608 1.00 0.00 H +ATOM 2953 N TYR A 197 -22.869 -59.691 35.273 1.00 0.00 N +ATOM 2954 CA TYR A 197 -24.317 -59.570 35.373 1.00 0.00 C +ATOM 2955 C TYR A 197 -24.707 -58.587 36.468 1.00 0.00 C +ATOM 2956 O TYR A 197 -24.194 -58.661 37.590 1.00 0.00 O +ATOM 2957 CB TYR A 197 -24.951 -60.933 35.657 1.00 0.00 C +ATOM 2958 CG TYR A 197 -24.939 -61.883 34.485 1.00 0.00 C +ATOM 2959 CD1 TYR A 197 -25.965 -61.869 33.546 1.00 0.00 C +ATOM 2960 CD2 TYR A 197 -23.914 -62.803 34.321 1.00 0.00 C +ATOM 2961 CE1 TYR A 197 -25.963 -62.734 32.474 1.00 0.00 C +ATOM 2962 CE2 TYR A 197 -23.905 -63.676 33.250 1.00 0.00 C +ATOM 2963 CZ TYR A 197 -24.934 -63.638 32.330 1.00 0.00 C +ATOM 2964 OH TYR A 197 -24.934 -64.503 31.260 1.00 0.00 O +ATOM 2965 H TYR A 197 -22.378 -60.143 36.018 1.00 0.00 H +ATOM 2966 HA TYR A 197 -24.715 -59.198 34.417 1.00 0.00 H +ATOM 2967 HB2 TYR A 197 -24.401 -61.402 36.486 1.00 0.00 H +ATOM 2968 HB3 TYR A 197 -25.997 -60.770 35.957 1.00 0.00 H +ATOM 2969 HD1 TYR A 197 -26.778 -61.167 33.660 1.00 0.00 H +ATOM 2970 HD2 TYR A 197 -23.110 -62.838 35.042 1.00 0.00 H +ATOM 2971 HE1 TYR A 197 -26.764 -62.703 31.750 1.00 0.00 H +ATOM 2972 HE2 TYR A 197 -23.098 -64.384 33.133 1.00 0.00 H +ATOM 2973 HH TYR A 197 -25.294 -64.065 30.498 1.00 0.00 H +ATOM 2974 N THR A 198 -25.625 -57.684 36.136 1.00 0.00 N +ATOM 2975 CA THR A 198 -26.280 -56.769 37.047 1.00 0.00 C +ATOM 2976 C THR A 198 -27.750 -57.150 37.196 1.00 0.00 C +ATOM 2977 O THR A 198 -28.369 -57.638 36.245 1.00 0.00 O +ATOM 2978 CB THR A 198 -26.167 -55.314 36.565 1.00 0.00 C +ATOM 2979 OG1 THR A 198 -26.521 -54.425 37.632 1.00 0.00 O +ATOM 2980 CG2 THR A 198 -27.089 -55.049 35.379 1.00 0.00 C +ATOM 2981 H THR A 198 -25.886 -57.632 35.172 1.00 0.00 H +ATOM 2982 HA THR A 198 -25.804 -56.839 38.036 1.00 0.00 H +ATOM 2983 HB THR A 198 -25.129 -55.129 36.252 1.00 0.00 H +ATOM 2984 HG1 THR A 198 -25.940 -54.568 38.370 1.00 0.00 H +ATOM 2985 HG21 THR A 198 -26.984 -54.002 35.059 1.00 0.00 H +ATOM 2986 HG22 THR A 198 -26.817 -55.715 34.547 1.00 0.00 H +ATOM 2987 HG23 THR A 198 -28.131 -55.239 35.675 1.00 0.00 H +ATOM 2988 N PRO A 199 -28.333 -56.965 38.377 1.00 0.00 N +ATOM 2989 CA PRO A 199 -29.731 -57.356 38.573 1.00 0.00 C +ATOM 2990 C PRO A 199 -30.691 -56.462 37.805 1.00 0.00 C +ATOM 2991 O PRO A 199 -30.479 -55.255 37.659 1.00 0.00 O +ATOM 2992 CB PRO A 199 -29.936 -57.207 40.086 1.00 0.00 C +ATOM 2993 CG PRO A 199 -28.565 -57.245 40.665 1.00 0.00 C +ATOM 2994 CD PRO A 199 -27.689 -56.591 39.647 1.00 0.00 C +ATOM 2995 HA PRO A 199 -29.884 -58.405 38.281 1.00 0.00 H +ATOM 2996 HB2 PRO A 199 -30.427 -56.250 40.317 1.00 0.00 H +ATOM 2997 HB3 PRO A 199 -30.544 -58.036 40.477 1.00 0.00 H +ATOM 2998 HG2 PRO A 199 -28.532 -56.691 41.615 1.00 0.00 H +ATOM 2999 HG3 PRO A 199 -28.248 -58.284 40.836 1.00 0.00 H +ATOM 3000 HD2 PRO A 199 -26.661 -56.979 39.700 1.00 0.00 H +ATOM 3001 HD3 PRO A 199 -27.676 -55.499 39.778 1.00 0.00 H +ATOM 3002 N ILE A 200 -31.750 -57.080 37.292 1.00 0.00 N +ATOM 3003 CA ILE A 200 -32.907 -56.329 36.823 1.00 0.00 C +ATOM 3004 C ILE A 200 -33.679 -55.905 38.067 1.00 0.00 C +ATOM 3005 O ILE A 200 -34.234 -56.741 38.782 1.00 0.00 O +ATOM 3006 CB ILE A 200 -33.780 -57.149 35.868 1.00 0.00 C +ATOM 3007 CG1 ILE A 200 -32.980 -57.544 34.625 1.00 0.00 C +ATOM 3008 CG2 ILE A 200 -35.010 -56.345 35.471 1.00 0.00 C +ATOM 3009 CD1 ILE A 200 -33.736 -58.442 33.668 1.00 0.00 C +ATOM 3010 H ILE A 200 -31.753 -58.078 37.227 1.00 0.00 H +ATOM 3011 HA ILE A 200 -32.568 -55.425 36.296 1.00 0.00 H +ATOM 3012 HB ILE A 200 -34.105 -58.064 36.385 1.00 0.00 H +ATOM 3013 HG12 ILE A 200 -32.698 -56.626 34.089 1.00 0.00 H +ATOM 3014 HG13 ILE A 200 -32.072 -58.072 34.951 1.00 0.00 H +ATOM 3015 HG21 ILE A 200 -35.632 -56.940 34.786 1.00 0.00 H +ATOM 3016 HG22 ILE A 200 -35.591 -56.096 36.371 1.00 0.00 H +ATOM 3017 HG23 ILE A 200 -34.696 -55.418 34.970 1.00 0.00 H +ATOM 3018 HD11 ILE A 200 -33.097 -58.680 32.805 1.00 0.00 H +ATOM 3019 HD12 ILE A 200 -34.017 -59.372 34.183 1.00 0.00 H +ATOM 3020 HD13 ILE A 200 -34.643 -57.926 33.321 1.00 0.00 H +ATOM 3021 N ARG A 201 -33.694 -54.600 38.337 1.00 0.00 N +ATOM 3022 CA ARG A 201 -34.255 -54.106 39.589 1.00 0.00 C +ATOM 3023 C ARG A 201 -35.762 -54.324 39.656 1.00 0.00 C +ATOM 3024 O ARG A 201 -36.288 -54.741 40.694 1.00 0.00 O +ATOM 3025 CB ARG A 201 -33.923 -52.627 39.749 1.00 0.00 C +ATOM 3026 CG ARG A 201 -34.136 -52.096 41.141 1.00 0.00 C +ATOM 3027 CD ARG A 201 -34.196 -50.590 41.099 1.00 0.00 C +ATOM 3028 NE ARG A 201 -34.457 -50.016 42.411 1.00 0.00 N +ATOM 3029 CZ ARG A 201 -34.885 -48.774 42.601 1.00 0.00 C +ATOM 3030 NH1 ARG A 201 -35.107 -47.985 41.558 1.00 0.00 N +ATOM 3031 NH2 ARG A 201 -35.098 -48.324 43.830 1.00 0.00 N1+ +ATOM 3032 H ARG A 201 -33.317 -53.953 37.674 1.00 0.00 H +ATOM 3033 HA ARG A 201 -33.794 -54.651 40.426 1.00 0.00 H +ATOM 3034 HB2 ARG A 201 -32.866 -52.479 39.481 1.00 0.00 H +ATOM 3035 HB3 ARG A 201 -34.560 -52.054 39.059 1.00 0.00 H +ATOM 3036 HG2 ARG A 201 -35.081 -52.490 41.543 1.00 0.00 H +ATOM 3037 HG3 ARG A 201 -33.303 -52.412 41.786 1.00 0.00 H +ATOM 3038 HD2 ARG A 201 -33.234 -50.207 40.729 1.00 0.00 H +ATOM 3039 HD3 ARG A 201 -35.000 -50.286 40.412 1.00 0.00 H +ATOM 3040 HE ARG A 201 -34.305 -50.590 43.215 1.00 0.00 H +ATOM 3041 HH11 ARG A 201 -35.435 -47.051 41.699 1.00 0.00 H +ATOM 3042 HH12 ARG A 201 -34.946 -48.324 40.631 1.00 0.00 H +ATOM 3043 HH21 ARG A 201 -35.426 -47.390 43.971 1.00 0.00 H +ATOM 3044 HH22 ARG A 201 -34.931 -48.919 44.616 1.00 0.00 H +ATOM 3045 N ARG A 202 -36.475 -54.027 38.573 1.00 0.00 N +ATOM 3046 CA ARG A 202 -37.916 -54.232 38.524 1.00 0.00 C +ATOM 3047 C ARG A 202 -38.298 -54.618 37.105 1.00 0.00 C +ATOM 3048 O ARG A 202 -37.727 -54.102 36.141 1.00 0.00 O +ATOM 3049 CB ARG A 202 -38.674 -52.973 38.967 1.00 0.00 C +ATOM 3050 CG ARG A 202 -40.194 -53.086 38.916 1.00 0.00 C +ATOM 3051 CD ARG A 202 -40.849 -52.115 39.892 1.00 0.00 C +ATOM 3052 NE ARG A 202 -40.882 -50.744 39.392 1.00 0.00 N +ATOM 3053 CZ ARG A 202 -41.907 -50.224 38.724 1.00 0.00 C +ATOM 3054 NH1 ARG A 202 -41.864 -48.967 38.305 1.00 0.00 N +ATOM 3055 NH2 ARG A 202 -42.976 -50.966 38.472 1.00 0.00 N1+ +ATOM 3056 H ARG A 202 -36.009 -53.653 37.771 1.00 0.00 H +ATOM 3057 HA ARG A 202 -38.191 -55.057 39.197 1.00 0.00 H +ATOM 3058 HB2 ARG A 202 -38.383 -52.746 40.003 1.00 0.00 H +ATOM 3059 HB3 ARG A 202 -38.371 -52.144 38.311 1.00 0.00 H +ATOM 3060 HG2 ARG A 202 -40.537 -52.857 37.896 1.00 0.00 H +ATOM 3061 HG3 ARG A 202 -40.487 -54.113 39.180 1.00 0.00 H +ATOM 3062 HD2 ARG A 202 -41.882 -52.446 40.077 1.00 0.00 H +ATOM 3063 HD3 ARG A 202 -40.284 -52.131 40.836 1.00 0.00 H +ATOM 3064 HE ARG A 202 -40.087 -50.162 39.562 1.00 0.00 H +ATOM 3065 HH11 ARG A 202 -42.637 -48.581 37.800 1.00 0.00 H +ATOM 3066 HH12 ARG A 202 -41.059 -48.404 38.493 1.00 0.00 H +ATOM 3067 HH21 ARG A 202 -43.747 -50.577 37.967 1.00 0.00 H +ATOM 3068 HH22 ARG A 202 -43.012 -51.915 38.787 1.00 0.00 H +ATOM 3069 N GLU A 203 -39.254 -55.535 36.978 1.00 0.00 N +ATOM 3070 CA GLU A 203 -39.646 -56.038 35.663 1.00 0.00 C +ATOM 3071 C GLU A 203 -40.675 -55.097 35.049 1.00 0.00 C +ATOM 3072 O GLU A 203 -41.884 -55.307 35.151 1.00 0.00 O +ATOM 3073 CB GLU A 203 -40.187 -57.459 35.765 1.00 0.00 C +ATOM 3074 CG GLU A 203 -39.216 -58.461 36.370 1.00 0.00 C +ATOM 3075 CD GLU A 203 -39.683 -59.894 36.196 1.00 0.00 C +ATOM 3076 OE1 GLU A 203 -40.898 -60.107 35.987 1.00 0.00 O +ATOM 3077 OE2 GLU A 203 -38.835 -60.808 36.255 1.00 0.00 O1- +ATOM 3078 H GLU A 203 -39.711 -55.885 37.795 1.00 0.00 H +ATOM 3079 HA GLU A 203 -38.762 -56.054 35.008 1.00 0.00 H +ATOM 3080 HB2 GLU A 203 -41.092 -57.438 36.389 1.00 0.00 H +ATOM 3081 HB3 GLU A 203 -40.447 -57.801 34.752 1.00 0.00 H +ATOM 3082 HG2 GLU A 203 -38.238 -58.346 35.880 1.00 0.00 H +ATOM 3083 HG3 GLU A 203 -39.114 -58.250 37.445 1.00 0.00 H +ATOM 3084 N TRP A 204 -40.191 -54.035 34.408 1.00 0.00 N +ATOM 3085 CA TRP A 204 -41.043 -53.213 33.554 1.00 0.00 C +ATOM 3086 C TRP A 204 -40.239 -52.771 32.337 1.00 0.00 C +ATOM 3087 O TRP A 204 -40.254 -53.445 31.303 1.00 0.00 O +ATOM 3088 CB TRP A 204 -41.640 -52.025 34.323 1.00 0.00 C +ATOM 3089 CG TRP A 204 -40.687 -51.038 34.955 1.00 0.00 C +ATOM 3090 CD1 TRP A 204 -39.416 -51.268 35.403 1.00 0.00 C +ATOM 3091 CD2 TRP A 204 -40.950 -49.654 35.193 1.00 0.00 C +ATOM 3092 NE1 TRP A 204 -38.877 -50.109 35.912 1.00 0.00 N +ATOM 3093 CE2 TRP A 204 -39.800 -49.103 35.792 1.00 0.00 C +ATOM 3094 CE3 TRP A 204 -42.052 -48.826 34.959 1.00 0.00 C +ATOM 3095 CZ2 TRP A 204 -39.723 -47.762 36.159 1.00 0.00 C +ATOM 3096 CZ3 TRP A 204 -41.975 -47.500 35.323 1.00 0.00 C +ATOM 3097 CH2 TRP A 204 -40.821 -46.979 35.918 1.00 0.00 C +ATOM 3098 H TRP A 204 -39.226 -53.796 34.514 1.00 0.00 H +ATOM 3099 HA TRP A 204 -41.880 -53.831 33.196 1.00 0.00 H +ATOM 3100 HB2 TRP A 204 -42.272 -51.464 33.619 1.00 0.00 H +ATOM 3101 HB3 TRP A 204 -42.265 -52.438 35.129 1.00 0.00 H +ATOM 3102 HD1 TRP A 204 -38.909 -52.221 35.363 1.00 0.00 H +ATOM 3103 HE1 TRP A 204 -37.962 -50.016 36.305 1.00 0.00 H +ATOM 3104 HE3 TRP A 204 -42.948 -49.219 34.501 1.00 0.00 H +ATOM 3105 HZ2 TRP A 204 -38.833 -47.355 36.616 1.00 0.00 H +ATOM 3106 HZ3 TRP A 204 -42.820 -46.851 35.146 1.00 0.00 H +ATOM 3107 HH2 TRP A 204 -40.795 -45.935 36.194 1.00 0.00 H +ATOM 3108 N TYR A 205 -39.533 -51.654 32.437 1.00 0.00 N +ATOM 3109 CA TYR A 205 -38.348 -51.514 31.619 1.00 0.00 C +ATOM 3110 C TYR A 205 -37.288 -52.490 32.126 1.00 0.00 C +ATOM 3111 O TYR A 205 -37.463 -53.173 33.140 1.00 0.00 O +ATOM 3112 CB TYR A 205 -37.804 -50.087 31.671 1.00 0.00 C +ATOM 3113 CG TYR A 205 -38.716 -48.991 31.168 1.00 0.00 C +ATOM 3114 CD1 TYR A 205 -38.757 -48.656 29.821 1.00 0.00 C +ATOM 3115 CD2 TYR A 205 -39.498 -48.257 32.047 1.00 0.00 C +ATOM 3116 CE1 TYR A 205 -39.574 -47.635 29.361 1.00 0.00 C +ATOM 3117 CE2 TYR A 205 -40.316 -47.237 31.599 1.00 0.00 C +ATOM 3118 CZ TYR A 205 -40.353 -46.930 30.258 1.00 0.00 C +ATOM 3119 OH TYR A 205 -41.170 -45.913 29.823 1.00 0.00 O +ATOM 3120 H TYR A 205 -39.812 -50.926 33.063 1.00 0.00 H +ATOM 3121 HA TYR A 205 -38.585 -51.763 30.574 1.00 0.00 H +ATOM 3122 HB2 TYR A 205 -37.560 -49.862 32.720 1.00 0.00 H +ATOM 3123 HB3 TYR A 205 -36.885 -50.059 31.067 1.00 0.00 H +ATOM 3124 HD1 TYR A 205 -38.142 -49.200 29.120 1.00 0.00 H +ATOM 3125 HD2 TYR A 205 -39.467 -48.487 33.102 1.00 0.00 H +ATOM 3126 HE1 TYR A 205 -39.601 -47.392 28.309 1.00 0.00 H +ATOM 3127 HE2 TYR A 205 -40.924 -46.683 32.299 1.00 0.00 H +ATOM 3128 HH TYR A 205 -41.461 -46.097 28.937 1.00 0.00 H +ATOM 3129 N TYR A 206 -36.170 -52.557 31.420 1.00 0.00 N +ATOM 3130 CA TYR A 206 -35.031 -53.303 31.945 1.00 0.00 C +ATOM 3131 C TYR A 206 -34.244 -52.338 32.820 1.00 0.00 C +ATOM 3132 O TYR A 206 -33.322 -51.659 32.368 1.00 0.00 O +ATOM 3133 CB TYR A 206 -34.198 -53.889 30.815 1.00 0.00 C +ATOM 3134 CG TYR A 206 -34.896 -55.015 30.093 1.00 0.00 C +ATOM 3135 CD1 TYR A 206 -34.912 -56.295 30.623 1.00 0.00 C +ATOM 3136 CD2 TYR A 206 -35.546 -54.796 28.884 1.00 0.00 C +ATOM 3137 CE1 TYR A 206 -35.549 -57.332 29.969 1.00 0.00 C +ATOM 3138 CE2 TYR A 206 -36.185 -55.827 28.221 1.00 0.00 C +ATOM 3139 CZ TYR A 206 -36.187 -57.093 28.769 1.00 0.00 C +ATOM 3140 OH TYR A 206 -36.822 -58.118 28.108 1.00 0.00 O +ATOM 3141 H TYR A 206 -36.106 -52.099 30.533 1.00 0.00 H +ATOM 3142 HA TYR A 206 -35.395 -54.128 32.575 1.00 0.00 H +ATOM 3143 HB2 TYR A 206 -33.978 -53.091 30.091 1.00 0.00 H +ATOM 3144 HB3 TYR A 206 -33.257 -54.272 31.235 1.00 0.00 H +ATOM 3145 HD1 TYR A 206 -34.418 -56.486 31.564 1.00 0.00 H +ATOM 3146 HD2 TYR A 206 -35.552 -53.805 28.456 1.00 0.00 H +ATOM 3147 HE1 TYR A 206 -35.548 -58.325 30.395 1.00 0.00 H +ATOM 3148 HE2 TYR A 206 -36.680 -55.642 27.279 1.00 0.00 H +ATOM 3149 HH TYR A 206 -37.345 -57.762 27.399 1.00 0.00 H +ATOM 3150 N GLU A 207 -34.636 -52.259 34.089 1.00 0.00 N +ATOM 3151 CA GLU A 207 -34.097 -51.261 35.002 1.00 0.00 C +ATOM 3152 C GLU A 207 -32.887 -51.817 35.740 1.00 0.00 C +ATOM 3153 O GLU A 207 -32.925 -52.935 36.266 1.00 0.00 O +ATOM 3154 CB GLU A 207 -35.156 -50.799 36.004 1.00 0.00 C +ATOM 3155 CG GLU A 207 -34.818 -49.473 36.677 1.00 0.00 C +ATOM 3156 CD GLU A 207 -35.686 -49.177 37.885 1.00 0.00 C +ATOM 3157 OE1 GLU A 207 -36.714 -49.864 38.075 1.00 0.00 O +ATOM 3158 OE2 GLU A 207 -35.333 -48.257 38.651 1.00 0.00 O1- +ATOM 3159 H GLU A 207 -35.321 -52.904 34.426 1.00 0.00 H +ATOM 3160 HA GLU A 207 -33.771 -50.385 34.422 1.00 0.00 H +ATOM 3161 HB2 GLU A 207 -36.112 -50.686 35.473 1.00 0.00 H +ATOM 3162 HB3 GLU A 207 -35.258 -51.569 36.783 1.00 0.00 H +ATOM 3163 HG2 GLU A 207 -33.767 -49.503 37.001 1.00 0.00 H +ATOM 3164 HG3 GLU A 207 -34.953 -48.665 35.943 1.00 0.00 H +ATOM 3165 N VAL A 208 -31.817 -51.025 35.773 1.00 0.00 N +ATOM 3166 CA VAL A 208 -30.579 -51.390 36.452 1.00 0.00 C +ATOM 3167 C VAL A 208 -30.219 -50.276 37.425 1.00 0.00 C +ATOM 3168 O VAL A 208 -30.926 -49.266 37.521 1.00 0.00 O +ATOM 3169 CB VAL A 208 -29.439 -51.636 35.447 1.00 0.00 C +ATOM 3170 CG1 VAL A 208 -29.822 -52.729 34.461 1.00 0.00 C +ATOM 3171 CG2 VAL A 208 -29.087 -50.346 34.715 1.00 0.00 C +ATOM 3172 H VAL A 208 -31.865 -50.139 35.311 1.00 0.00 H +ATOM 3173 HA VAL A 208 -30.738 -52.315 37.025 1.00 0.00 H +ATOM 3174 HB VAL A 208 -28.553 -51.969 36.008 1.00 0.00 H +ATOM 3175 HG11 VAL A 208 -28.996 -52.890 33.752 1.00 0.00 H +ATOM 3176 HG12 VAL A 208 -30.023 -53.662 35.008 1.00 0.00 H +ATOM 3177 HG13 VAL A 208 -30.724 -52.426 33.910 1.00 0.00 H +ATOM 3178 HG21 VAL A 208 -28.272 -50.539 34.002 1.00 0.00 H +ATOM 3179 HG22 VAL A 208 -29.971 -49.980 34.172 1.00 0.00 H +ATOM 3180 HG23 VAL A 208 -28.764 -49.588 35.444 1.00 0.00 H +ATOM 3181 N ILE A 209 -29.112 -50.443 38.143 1.00 0.00 N +ATOM 3182 CA ILE A 209 -28.649 -49.466 39.122 1.00 0.00 C +ATOM 3183 C ILE A 209 -27.198 -49.130 38.814 1.00 0.00 C +ATOM 3184 O ILE A 209 -26.339 -50.020 38.796 1.00 0.00 O +ATOM 3185 CB ILE A 209 -28.784 -49.985 40.562 1.00 0.00 C +ATOM 3186 CG1 ILE A 209 -30.243 -50.276 40.902 1.00 0.00 C +ATOM 3187 CG2 ILE A 209 -28.191 -48.987 41.540 1.00 0.00 C +ATOM 3188 CD1 ILE A 209 -30.453 -50.696 42.336 1.00 0.00 C +ATOM 3189 H ILE A 209 -28.574 -51.275 38.006 1.00 0.00 H +ATOM 3190 HA ILE A 209 -29.247 -48.547 39.029 1.00 0.00 H +ATOM 3191 HB ILE A 209 -28.218 -50.925 40.641 1.00 0.00 H +ATOM 3192 HG12 ILE A 209 -30.832 -49.366 40.715 1.00 0.00 H +ATOM 3193 HG13 ILE A 209 -30.599 -51.084 40.246 1.00 0.00 H +ATOM 3194 HG21 ILE A 209 -28.295 -49.372 42.565 1.00 0.00 H +ATOM 3195 HG22 ILE A 209 -27.126 -48.838 41.311 1.00 0.00 H +ATOM 3196 HG23 ILE A 209 -28.723 -48.028 41.453 1.00 0.00 H +ATOM 3197 HD11 ILE A 209 -31.522 -50.889 42.509 1.00 0.00 H +ATOM 3198 HD12 ILE A 209 -29.878 -51.612 42.538 1.00 0.00 H +ATOM 3199 HD13 ILE A 209 -30.111 -49.894 43.007 1.00 0.00 H +ATOM 3200 N ILE A 210 -26.928 -47.855 38.572 1.00 0.00 N +ATOM 3201 CA ILE A 210 -25.560 -47.368 38.431 1.00 0.00 C +ATOM 3202 C ILE A 210 -25.057 -46.943 39.805 1.00 0.00 C +ATOM 3203 O ILE A 210 -25.744 -46.215 40.528 1.00 0.00 O +ATOM 3204 CB ILE A 210 -25.505 -46.200 37.436 1.00 0.00 C +ATOM 3205 CG1 ILE A 210 -26.011 -46.645 36.063 1.00 0.00 C +ATOM 3206 CG2 ILE A 210 -24.103 -45.626 37.368 1.00 0.00 C +ATOM 3207 CD1 ILE A 210 -26.474 -45.502 35.198 1.00 0.00 C +ATOM 3208 H ILE A 210 -27.685 -47.207 38.483 1.00 0.00 H +ATOM 3209 HA ILE A 210 -24.918 -48.178 38.055 1.00 0.00 H +ATOM 3210 HB ILE A 210 -26.178 -45.412 37.805 1.00 0.00 H +ATOM 3211 HG12 ILE A 210 -25.195 -47.168 35.543 1.00 0.00 H +ATOM 3212 HG13 ILE A 210 -26.854 -47.336 36.209 1.00 0.00 H +ATOM 3213 HG21 ILE A 210 -24.082 -44.792 36.652 1.00 0.00 H +ATOM 3214 HG22 ILE A 210 -23.807 -45.262 38.363 1.00 0.00 H +ATOM 3215 HG23 ILE A 210 -23.402 -46.408 37.040 1.00 0.00 H +ATOM 3216 HD11 ILE A 210 -26.823 -45.892 34.230 1.00 0.00 H +ATOM 3217 HD12 ILE A 210 -27.298 -44.974 35.699 1.00 0.00 H +ATOM 3218 HD13 ILE A 210 -25.639 -44.806 35.033 1.00 0.00 H +ATOM 3219 N VAL A 211 -23.863 -47.395 40.175 1.00 0.00 N +ATOM 3220 CA VAL A 211 -23.328 -47.084 41.498 1.00 0.00 C +ATOM 3221 C VAL A 211 -22.129 -46.146 41.448 1.00 0.00 C +ATOM 3222 O VAL A 211 -21.751 -45.610 42.507 1.00 0.00 O +ATOM 3223 CB VAL A 211 -22.975 -48.365 42.280 1.00 0.00 C +ATOM 3224 CG1 VAL A 211 -24.165 -49.315 42.315 1.00 0.00 C +ATOM 3225 CG2 VAL A 211 -21.754 -49.045 41.693 1.00 0.00 C +ATOM 3226 H VAL A 211 -23.326 -47.953 39.542 1.00 0.00 H +ATOM 3227 HA VAL A 211 -24.116 -46.570 42.068 1.00 0.00 H +ATOM 3228 HB VAL A 211 -22.741 -48.074 43.315 1.00 0.00 H +ATOM 3229 HG11 VAL A 211 -23.895 -50.222 42.876 1.00 0.00 H +ATOM 3230 HG12 VAL A 211 -25.015 -48.819 42.807 1.00 0.00 H +ATOM 3231 HG13 VAL A 211 -24.445 -49.590 41.287 1.00 0.00 H +ATOM 3232 HG21 VAL A 211 -21.527 -49.953 42.270 1.00 0.00 H +ATOM 3233 HG22 VAL A 211 -21.953 -49.316 40.646 1.00 0.00 H +ATOM 3234 HG23 VAL A 211 -20.896 -48.359 41.737 1.00 0.00 H +ATOM 3235 N ARG A 212 -21.534 -45.907 40.284 1.00 0.00 N +ATOM 3236 CA ARG A 212 -20.358 -45.054 40.175 1.00 0.00 C +ATOM 3237 C ARG A 212 -20.123 -44.721 38.708 1.00 0.00 C +ATOM 3238 O ARG A 212 -20.397 -45.537 37.825 1.00 0.00 O +ATOM 3239 CB ARG A 212 -19.119 -45.732 40.784 1.00 0.00 C +ATOM 3240 CG ARG A 212 -17.827 -44.930 40.692 1.00 0.00 C +ATOM 3241 CD ARG A 212 -16.675 -45.684 41.356 1.00 0.00 C +ATOM 3242 NE ARG A 212 -15.361 -45.111 41.060 1.00 0.00 N +ATOM 3243 CZ ARG A 212 -14.693 -44.293 41.871 1.00 0.00 C +ATOM 3244 NH1 ARG A 212 -15.209 -43.935 43.040 1.00 0.00 N +ATOM 3245 NH2 ARG A 212 -13.504 -43.830 41.513 1.00 0.00 N1+ +ATOM 3246 H ARG A 212 -21.906 -46.326 39.456 1.00 0.00 H +ATOM 3247 HA ARG A 212 -20.539 -44.115 40.720 1.00 0.00 H +ATOM 3248 HB2 ARG A 212 -19.325 -45.924 41.847 1.00 0.00 H +ATOM 3249 HB3 ARG A 212 -18.964 -46.688 40.262 1.00 0.00 H +ATOM 3250 HG2 ARG A 212 -17.583 -44.758 39.633 1.00 0.00 H +ATOM 3251 HG3 ARG A 212 -17.965 -43.963 41.198 1.00 0.00 H +ATOM 3252 HD2 ARG A 212 -16.827 -45.665 42.445 1.00 0.00 H +ATOM 3253 HD3 ARG A 212 -16.690 -46.725 41.002 1.00 0.00 H +ATOM 3254 HE ARG A 212 -14.935 -45.351 40.188 1.00 0.00 H +ATOM 3255 HH11 ARG A 212 -14.701 -43.320 43.644 1.00 0.00 H +ATOM 3256 HH12 ARG A 212 -16.106 -44.280 43.318 1.00 0.00 H +ATOM 3257 HH21 ARG A 212 -13.002 -43.216 42.122 1.00 0.00 H +ATOM 3258 HH22 ARG A 212 -13.108 -44.095 40.634 1.00 0.00 H +ATOM 3259 N VAL A 213 -19.617 -43.512 38.460 1.00 0.00 N +ATOM 3260 CA VAL A 213 -19.318 -43.039 37.112 1.00 0.00 C +ATOM 3261 C VAL A 213 -17.929 -42.411 37.103 1.00 0.00 C +ATOM 3262 O VAL A 213 -17.598 -41.616 37.990 1.00 0.00 O +ATOM 3263 CB VAL A 213 -20.367 -42.026 36.614 1.00 0.00 C +ATOM 3264 CG1 VAL A 213 -19.994 -41.513 35.232 1.00 0.00 C +ATOM 3265 CG2 VAL A 213 -21.756 -42.653 36.598 1.00 0.00 C +ATOM 3266 H VAL A 213 -19.434 -42.903 39.232 1.00 0.00 H +ATOM 3267 HA VAL A 213 -19.315 -43.895 36.421 1.00 0.00 H +ATOM 3268 HB VAL A 213 -20.379 -41.174 37.310 1.00 0.00 H +ATOM 3269 HG11 VAL A 213 -20.752 -40.792 34.891 1.00 0.00 H +ATOM 3270 HG12 VAL A 213 -19.012 -41.019 35.277 1.00 0.00 H +ATOM 3271 HG13 VAL A 213 -19.948 -42.357 34.528 1.00 0.00 H +ATOM 3272 HG21 VAL A 213 -22.488 -41.914 36.240 1.00 0.00 H +ATOM 3273 HG22 VAL A 213 -21.757 -43.525 35.927 1.00 0.00 H +ATOM 3274 HG23 VAL A 213 -22.025 -42.973 37.615 1.00 0.00 H +ATOM 3275 N GLU A 214 -17.127 -42.752 36.091 1.00 0.00 N +ATOM 3276 CA GLU A 214 -15.802 -42.179 35.908 1.00 0.00 C +ATOM 3277 C GLU A 214 -15.653 -41.631 34.497 1.00 0.00 C +ATOM 3278 O GLU A 214 -16.274 -42.124 33.551 1.00 0.00 O +ATOM 3279 CB GLU A 214 -14.694 -43.209 36.135 1.00 0.00 C +ATOM 3280 CG GLU A 214 -14.607 -43.807 37.516 1.00 0.00 C +ATOM 3281 CD GLU A 214 -13.621 -44.955 37.546 1.00 0.00 C +ATOM 3282 OE1 GLU A 214 -13.004 -45.215 36.493 1.00 0.00 O +ATOM 3283 OE2 GLU A 214 -13.468 -45.597 38.604 1.00 0.00 O1- +ATOM 3284 H GLU A 214 -17.451 -43.430 35.431 1.00 0.00 H +ATOM 3285 HA GLU A 214 -15.660 -41.353 36.620 1.00 0.00 H +ATOM 3286 HB2 GLU A 214 -14.852 -44.033 35.423 1.00 0.00 H +ATOM 3287 HB3 GLU A 214 -13.733 -42.719 35.922 1.00 0.00 H +ATOM 3288 HG2 GLU A 214 -14.279 -43.032 38.224 1.00 0.00 H +ATOM 3289 HG3 GLU A 214 -15.600 -44.177 37.812 1.00 0.00 H +ATOM 3290 N ILE A 215 -14.800 -40.620 34.362 1.00 0.00 N +ATOM 3291 CA ILE A 215 -14.356 -40.108 33.068 1.00 0.00 C +ATOM 3292 C ILE A 215 -12.838 -40.221 33.048 1.00 0.00 C +ATOM 3293 O ILE A 215 -12.146 -39.470 33.749 1.00 0.00 O +ATOM 3294 CB ILE A 215 -14.800 -38.659 32.824 1.00 0.00 C +ATOM 3295 CG1 ILE A 215 -16.311 -38.512 33.012 1.00 0.00 C +ATOM 3296 CG2 ILE A 215 -14.373 -38.206 31.433 1.00 0.00 C +ATOM 3297 CD1 ILE A 215 -17.134 -39.333 32.046 1.00 0.00 C +ATOM 3298 H ILE A 215 -14.444 -40.187 35.190 1.00 0.00 H +ATOM 3299 HA ILE A 215 -14.766 -40.738 32.265 1.00 0.00 H +ATOM 3300 HB ILE A 215 -14.298 -38.018 33.564 1.00 0.00 H +ATOM 3301 HG12 ILE A 215 -16.564 -38.826 34.035 1.00 0.00 H +ATOM 3302 HG13 ILE A 215 -16.575 -37.453 32.877 1.00 0.00 H +ATOM 3303 HG21 ILE A 215 -14.696 -37.167 31.270 1.00 0.00 H +ATOM 3304 HG22 ILE A 215 -13.278 -38.267 31.348 1.00 0.00 H +ATOM 3305 HG23 ILE A 215 -14.836 -38.857 30.677 1.00 0.00 H +ATOM 3306 HD11 ILE A 215 -18.204 -39.172 32.246 1.00 0.00 H +ATOM 3307 HD12 ILE A 215 -16.904 -39.026 31.015 1.00 0.00 H +ATOM 3308 HD13 ILE A 215 -16.893 -40.399 32.173 1.00 0.00 H +ATOM 3309 N ASN A 216 -12.319 -41.146 32.238 1.00 0.00 N +ATOM 3310 CA ASN A 216 -10.882 -41.432 32.192 1.00 0.00 C +ATOM 3311 C ASN A 216 -10.335 -41.713 33.588 1.00 0.00 C +ATOM 3312 O ASN A 216 -9.271 -41.227 33.974 1.00 0.00 O +ATOM 3313 CB ASN A 216 -10.111 -40.293 31.522 1.00 0.00 C +ATOM 3314 CG ASN A 216 -9.578 -40.677 30.159 1.00 0.00 C +ATOM 3315 OD1 ASN A 216 -9.904 -41.738 29.627 1.00 0.00 O +ATOM 3316 ND2 ASN A 216 -8.760 -39.810 29.580 1.00 0.00 N +ATOM 3317 H ASN A 216 -12.933 -41.663 31.641 1.00 0.00 H +ATOM 3318 HA ASN A 216 -10.729 -42.337 31.586 1.00 0.00 H +ATOM 3319 HB2 ASN A 216 -10.784 -39.431 31.407 1.00 0.00 H +ATOM 3320 HB3 ASN A 216 -9.264 -40.014 32.166 1.00 0.00 H +ATOM 3321 HD21 ASN A 216 -8.382 -40.007 28.675 1.00 0.00 H +ATOM 3322 HD22 ASN A 216 -8.521 -38.959 30.048 1.00 0.00 H +ATOM 3323 N GLY A 217 -11.078 -42.508 34.356 1.00 0.00 N +ATOM 3324 CA GLY A 217 -10.691 -42.865 35.701 1.00 0.00 C +ATOM 3325 C GLY A 217 -11.070 -41.871 36.775 1.00 0.00 C +ATOM 3326 O GLY A 217 -11.057 -42.232 37.959 1.00 0.00 O +ATOM 3327 H GLY A 217 -11.934 -42.871 33.988 1.00 0.00 H +ATOM 3328 HA2 GLY A 217 -11.167 -43.826 35.946 1.00 0.00 H +ATOM 3329 HA3 GLY A 217 -9.597 -42.982 35.719 1.00 0.00 H +ATOM 3330 N GLN A 218 -11.417 -40.640 36.413 1.00 0.00 N +ATOM 3331 CA GLN A 218 -11.710 -39.596 37.388 1.00 0.00 C +ATOM 3332 C GLN A 218 -13.161 -39.707 37.843 1.00 0.00 C +ATOM 3333 O GLN A 218 -14.084 -39.601 37.028 1.00 0.00 O +ATOM 3334 CB GLN A 218 -11.430 -38.216 36.795 1.00 0.00 C +ATOM 3335 CG GLN A 218 -11.600 -37.075 37.774 1.00 0.00 C +ATOM 3336 CD GLN A 218 -10.892 -35.818 37.316 1.00 0.00 C +ATOM 3337 OE1 GLN A 218 -10.439 -35.015 38.131 1.00 0.00 O +ATOM 3338 NE2 GLN A 218 -10.785 -35.644 36.004 1.00 0.00 N +ATOM 3339 H GLN A 218 -11.479 -40.422 35.439 1.00 0.00 H +ATOM 3340 HA GLN A 218 -11.062 -39.731 38.266 1.00 0.00 H +ATOM 3341 HB2 GLN A 218 -10.394 -38.203 36.426 1.00 0.00 H +ATOM 3342 HB3 GLN A 218 -12.121 -38.055 35.954 1.00 0.00 H +ATOM 3343 HG2 GLN A 218 -12.673 -36.858 37.882 1.00 0.00 H +ATOM 3344 HG3 GLN A 218 -11.188 -37.379 38.747 1.00 0.00 H +ATOM 3345 HE21 GLN A 218 -10.321 -34.835 35.643 1.00 0.00 H +ATOM 3346 HE22 GLN A 218 -11.168 -36.322 35.377 1.00 0.00 H +ATOM 3347 N ASP A 219 -13.353 -39.912 39.145 1.00 0.00 N +ATOM 3348 CA ASP A 219 -14.691 -40.044 39.709 1.00 0.00 C +ATOM 3349 C ASP A 219 -15.498 -38.766 39.501 1.00 0.00 C +ATOM 3350 O ASP A 219 -15.020 -37.663 39.785 1.00 0.00 O +ATOM 3351 CB ASP A 219 -14.583 -40.371 41.199 1.00 0.00 C +ATOM 3352 CG ASP A 219 -15.930 -40.584 41.850 1.00 0.00 C +ATOM 3353 OD1 ASP A 219 -16.911 -40.838 41.122 1.00 0.00 O +ATOM 3354 OD2 ASP A 219 -16.008 -40.495 43.094 1.00 0.00 O1- +ATOM 3355 H ASP A 219 -12.560 -39.977 39.751 1.00 0.00 H +ATOM 3356 HA ASP A 219 -15.216 -40.872 39.210 1.00 0.00 H +ATOM 3357 HB2 ASP A 219 -13.987 -41.288 41.315 1.00 0.00 H +ATOM 3358 HB3 ASP A 219 -14.075 -39.537 41.706 1.00 0.00 H +ATOM 3359 N LEU A 220 -16.735 -38.918 39.007 1.00 0.00 N +ATOM 3360 CA LEU A 220 -17.616 -37.765 38.845 1.00 0.00 C +ATOM 3361 C LEU A 220 -18.100 -37.240 40.192 1.00 0.00 C +ATOM 3362 O LEU A 220 -18.390 -36.044 40.319 1.00 0.00 O +ATOM 3363 CB LEU A 220 -18.801 -38.129 37.943 1.00 0.00 C +ATOM 3364 CG LEU A 220 -19.300 -37.073 36.950 1.00 0.00 C +ATOM 3365 CD1 LEU A 220 -18.194 -36.649 35.997 1.00 0.00 C +ATOM 3366 CD2 LEU A 220 -20.495 -37.608 36.171 1.00 0.00 C +ATOM 3367 H LEU A 220 -17.057 -39.828 38.747 1.00 0.00 H +ATOM 3368 HA LEU A 220 -17.054 -36.959 38.351 1.00 0.00 H +ATOM 3369 HB2 LEU A 220 -18.508 -39.014 37.360 1.00 0.00 H +ATOM 3370 HB3 LEU A 220 -19.645 -38.386 38.600 1.00 0.00 H +ATOM 3371 HG LEU A 220 -19.625 -36.190 37.520 1.00 0.00 H +ATOM 3372 HD11 LEU A 220 -18.581 -35.893 35.298 1.00 0.00 H +ATOM 3373 HD12 LEU A 220 -17.358 -36.223 36.572 1.00 0.00 H +ATOM 3374 HD13 LEU A 220 -17.842 -37.524 35.431 1.00 0.00 H +ATOM 3375 HD21 LEU A 220 -20.844 -36.842 35.462 1.00 0.00 H +ATOM 3376 HD22 LEU A 220 -20.197 -38.511 35.618 1.00 0.00 H +ATOM 3377 HD23 LEU A 220 -21.307 -37.857 36.870 1.00 0.00 H +ATOM 3378 N LYS A 221 -18.223 -38.124 41.189 1.00 0.00 N +ATOM 3379 CA LYS A 221 -18.277 -37.745 42.607 1.00 0.00 C +ATOM 3380 C LYS A 221 -19.606 -37.084 42.988 1.00 0.00 C +ATOM 3381 O LYS A 221 -19.640 -35.979 43.530 1.00 0.00 O +ATOM 3382 CB LYS A 221 -17.092 -36.842 42.971 1.00 0.00 C +ATOM 3383 CG LYS A 221 -16.706 -36.870 44.437 1.00 0.00 C +ATOM 3384 CD LYS A 221 -15.474 -36.016 44.691 1.00 0.00 C +ATOM 3385 CE LYS A 221 -15.097 -36.022 46.164 1.00 0.00 C +ATOM 3386 NZ LYS A 221 -13.904 -35.176 46.444 1.00 0.00 N1+ +ATOM 3387 H LYS A 221 -18.281 -39.095 40.956 1.00 0.00 H +ATOM 3388 HA LYS A 221 -18.185 -38.662 43.208 1.00 0.00 H +ATOM 3389 HB2 LYS A 221 -16.221 -37.163 42.381 1.00 0.00 H +ATOM 3390 HB3 LYS A 221 -17.354 -35.807 42.705 1.00 0.00 H +ATOM 3391 HG2 LYS A 221 -17.543 -36.482 45.037 1.00 0.00 H +ATOM 3392 HG3 LYS A 221 -16.492 -37.908 44.733 1.00 0.00 H +ATOM 3393 HD2 LYS A 221 -14.634 -36.414 44.104 1.00 0.00 H +ATOM 3394 HD3 LYS A 221 -15.683 -34.982 44.378 1.00 0.00 H +ATOM 3395 HE2 LYS A 221 -15.947 -35.640 46.749 1.00 0.00 H +ATOM 3396 HE3 LYS A 221 -14.877 -37.056 46.469 1.00 0.00 H +ATOM 3397 HZ1 LYS A 221 -13.693 -35.209 47.421 1.00 0.00 H +ATOM 3398 HZ2 LYS A 221 -13.123 -35.519 45.922 1.00 0.00 H +ATOM 3399 HZ3 LYS A 221 -14.095 -34.232 46.176 1.00 0.00 H +ATOM 3400 N MET A 222 -20.706 -37.783 42.724 1.00 0.00 N +ATOM 3401 CA MET A 222 -22.030 -37.323 43.112 1.00 0.00 C +ATOM 3402 C MET A 222 -22.695 -38.353 44.014 1.00 0.00 C +ATOM 3403 O MET A 222 -22.234 -39.492 44.142 1.00 0.00 O +ATOM 3404 CB MET A 222 -22.914 -37.062 41.884 1.00 0.00 C +ATOM 3405 CG MET A 222 -22.298 -36.116 40.865 1.00 0.00 C +ATOM 3406 SD MET A 222 -23.199 -36.039 39.304 1.00 0.00 S +ATOM 3407 CE MET A 222 -24.778 -35.370 39.830 1.00 0.00 C +ATOM 3408 H MET A 222 -20.620 -38.655 42.242 1.00 0.00 H +ATOM 3409 HA MET A 222 -21.936 -36.382 43.673 1.00 0.00 H +ATOM 3410 HB2 MET A 222 -23.109 -38.024 41.388 1.00 0.00 H +ATOM 3411 HB3 MET A 222 -23.864 -36.628 42.228 1.00 0.00 H +ATOM 3412 HG2 MET A 222 -22.272 -35.106 41.301 1.00 0.00 H +ATOM 3413 HG3 MET A 222 -21.271 -36.452 40.657 1.00 0.00 H +ATOM 3414 HE1 MET A 222 -25.423 -35.217 38.952 1.00 0.00 H +ATOM 3415 HE2 MET A 222 -25.262 -36.075 40.522 1.00 0.00 H +ATOM 3416 HE3 MET A 222 -24.617 -34.408 40.339 1.00 0.00 H +ATOM 3417 N ASP A 223 -23.774 -37.930 44.666 1.00 0.00 N +ATOM 3418 CA ASP A 223 -24.653 -38.885 45.320 1.00 0.00 C +ATOM 3419 C ASP A 223 -25.124 -39.890 44.278 1.00 0.00 C +ATOM 3420 O ASP A 223 -25.668 -39.509 43.237 1.00 0.00 O +ATOM 3421 CB ASP A 223 -25.842 -38.164 45.953 1.00 0.00 C +ATOM 3422 CG ASP A 223 -26.550 -39.004 46.997 1.00 0.00 C +ATOM 3423 OD1 ASP A 223 -26.513 -40.247 46.892 1.00 0.00 O +ATOM 3424 OD2 ASP A 223 -27.145 -38.415 47.925 1.00 0.00 O1- +ATOM 3425 H ASP A 223 -23.981 -36.952 44.706 1.00 0.00 H +ATOM 3426 HA ASP A 223 -24.102 -39.420 46.108 1.00 0.00 H +ATOM 3427 HB2 ASP A 223 -25.480 -37.242 46.431 1.00 0.00 H +ATOM 3428 HB3 ASP A 223 -26.561 -37.909 45.160 1.00 0.00 H +ATOM 3429 N CYS A 224 -24.893 -41.179 44.541 1.00 0.00 N +ATOM 3430 CA CYS A 224 -25.154 -42.168 43.500 1.00 0.00 C +ATOM 3431 C CYS A 224 -26.634 -42.299 43.166 1.00 0.00 C +ATOM 3432 O CYS A 224 -26.969 -42.921 42.155 1.00 0.00 O +ATOM 3433 CB CYS A 224 -24.579 -43.533 43.885 1.00 0.00 C +ATOM 3434 SG CYS A 224 -25.288 -44.308 45.346 1.00 0.00 S +ATOM 3435 H CYS A 224 -24.547 -41.461 45.436 1.00 0.00 H +ATOM 3436 HA CYS A 224 -24.639 -41.844 42.584 1.00 0.00 H +ATOM 3437 HB2 CYS A 224 -24.733 -44.214 43.035 1.00 0.00 H +ATOM 3438 HB3 CYS A 224 -23.501 -43.405 44.062 1.00 0.00 H +ATOM 3439 N LYS A 225 -27.528 -41.730 43.976 1.00 0.00 N +ATOM 3440 CA LYS A 225 -28.931 -41.671 43.573 1.00 0.00 C +ATOM 3441 C LYS A 225 -29.126 -40.799 42.341 1.00 0.00 C +ATOM 3442 O LYS A 225 -30.038 -41.047 41.545 1.00 0.00 O +ATOM 3443 CB LYS A 225 -29.800 -41.150 44.717 1.00 0.00 C +ATOM 3444 CG LYS A 225 -30.060 -42.134 45.839 1.00 0.00 C +ATOM 3445 CD LYS A 225 -31.003 -41.508 46.857 1.00 0.00 C +ATOM 3446 CE LYS A 225 -31.379 -42.467 47.974 1.00 0.00 C +ATOM 3447 NZ LYS A 225 -30.199 -42.876 48.785 1.00 0.00 N1+ +ATOM 3448 H LYS A 225 -27.240 -41.346 44.853 1.00 0.00 H +ATOM 3449 HA LYS A 225 -29.271 -42.688 43.326 1.00 0.00 H +ATOM 3450 HB2 LYS A 225 -29.301 -40.269 45.147 1.00 0.00 H +ATOM 3451 HB3 LYS A 225 -30.771 -40.852 44.296 1.00 0.00 H +ATOM 3452 HG2 LYS A 225 -30.518 -43.046 45.428 1.00 0.00 H +ATOM 3453 HG3 LYS A 225 -29.109 -42.390 46.329 1.00 0.00 H +ATOM 3454 HD2 LYS A 225 -30.511 -40.629 47.299 1.00 0.00 H +ATOM 3455 HD3 LYS A 225 -31.921 -41.193 46.339 1.00 0.00 H +ATOM 3456 HE2 LYS A 225 -32.109 -41.974 48.633 1.00 0.00 H +ATOM 3457 HE3 LYS A 225 -31.833 -43.366 47.531 1.00 0.00 H +ATOM 3458 HZ1 LYS A 225 -30.489 -43.068 49.723 1.00 0.00 H +ATOM 3459 HZ2 LYS A 225 -29.791 -43.698 48.388 1.00 0.00 H +ATOM 3460 HZ3 LYS A 225 -29.525 -42.137 48.789 1.00 0.00 H +ATOM 3461 N GLU A 226 -28.288 -39.774 42.167 1.00 0.00 N +ATOM 3462 CA GLU A 226 -28.431 -38.894 41.011 1.00 0.00 C +ATOM 3463 C GLU A 226 -28.237 -39.651 39.707 1.00 0.00 C +ATOM 3464 O GLU A 226 -28.841 -39.297 38.688 1.00 0.00 O +ATOM 3465 CB GLU A 226 -27.435 -37.738 41.102 1.00 0.00 C +ATOM 3466 CG GLU A 226 -27.584 -36.900 42.355 1.00 0.00 C +ATOM 3467 CD GLU A 226 -28.835 -36.047 42.342 1.00 0.00 C +ATOM 3468 OE1 GLU A 226 -29.239 -35.598 41.248 1.00 0.00 O +ATOM 3469 OE2 GLU A 226 -29.418 -35.833 43.424 1.00 0.00 O1- +ATOM 3470 H GLU A 226 -27.559 -39.609 42.832 1.00 0.00 H +ATOM 3471 HA GLU A 226 -29.445 -38.469 41.011 1.00 0.00 H +ATOM 3472 HB2 GLU A 226 -26.417 -38.155 41.083 1.00 0.00 H +ATOM 3473 HB3 GLU A 226 -27.581 -37.085 40.229 1.00 0.00 H +ATOM 3474 HG2 GLU A 226 -27.625 -37.572 43.225 1.00 0.00 H +ATOM 3475 HG3 GLU A 226 -26.709 -36.240 42.443 1.00 0.00 H +ATOM 3476 N TYR A 227 -27.402 -40.692 39.718 1.00 0.00 N +ATOM 3477 CA TYR A 227 -27.216 -41.501 38.522 1.00 0.00 C +ATOM 3478 C TYR A 227 -28.469 -42.288 38.151 1.00 0.00 C +ATOM 3479 O TYR A 227 -28.612 -42.685 36.990 1.00 0.00 O +ATOM 3480 CB TYR A 227 -26.042 -42.462 38.716 1.00 0.00 C +ATOM 3481 CG TYR A 227 -24.726 -41.797 39.077 1.00 0.00 C +ATOM 3482 CD1 TYR A 227 -24.279 -40.666 38.406 1.00 0.00 C +ATOM 3483 CD2 TYR A 227 -23.930 -42.309 40.092 1.00 0.00 C +ATOM 3484 CE1 TYR A 227 -23.072 -40.063 38.737 1.00 0.00 C +ATOM 3485 CE2 TYR A 227 -22.726 -41.714 40.430 1.00 0.00 C +ATOM 3486 CZ TYR A 227 -22.301 -40.592 39.751 1.00 0.00 C +ATOM 3487 OH TYR A 227 -21.101 -40.001 40.087 1.00 0.00 O +ATOM 3488 H TYR A 227 -26.901 -40.918 40.553 1.00 0.00 H +ATOM 3489 HA TYR A 227 -26.972 -40.837 37.680 1.00 0.00 H +ATOM 3490 HB2 TYR A 227 -26.303 -43.163 39.522 1.00 0.00 H +ATOM 3491 HB3 TYR A 227 -25.898 -43.019 37.779 1.00 0.00 H +ATOM 3492 HD1 TYR A 227 -24.881 -40.248 37.613 1.00 0.00 H +ATOM 3493 HD2 TYR A 227 -24.256 -43.188 40.628 1.00 0.00 H +ATOM 3494 HE1 TYR A 227 -22.739 -39.185 38.203 1.00 0.00 H +ATOM 3495 HE2 TYR A 227 -22.122 -42.128 41.223 1.00 0.00 H +ATOM 3496 HH TYR A 227 -21.196 -39.056 40.065 1.00 0.00 H +ATOM 3497 N ASN A 228 -29.377 -42.525 39.100 1.00 0.00 N +ATOM 3498 CA ASN A 228 -30.558 -43.349 38.860 1.00 0.00 C +ATOM 3499 C ASN A 228 -31.856 -42.607 39.171 1.00 0.00 C +ATOM 3500 O ASN A 228 -32.839 -43.222 39.588 1.00 0.00 O +ATOM 3501 CB ASN A 228 -30.498 -44.646 39.670 1.00 0.00 C +ATOM 3502 CG ASN A 228 -29.164 -45.358 39.549 1.00 0.00 C +ATOM 3503 OD1 ASN A 228 -28.828 -45.904 38.498 1.00 0.00 O +ATOM 3504 ND2 ASN A 228 -28.401 -45.367 40.636 1.00 0.00 N +ATOM 3505 H ASN A 228 -29.244 -42.124 40.007 1.00 0.00 H +ATOM 3506 HA ASN A 228 -30.579 -43.624 37.795 1.00 0.00 H +ATOM 3507 HB2 ASN A 228 -30.673 -44.406 40.729 1.00 0.00 H +ATOM 3508 HB3 ASN A 228 -31.289 -45.320 39.311 1.00 0.00 H +ATOM 3509 HD21 ASN A 228 -27.515 -45.830 40.621 1.00 0.00 H +ATOM 3510 HD22 ASN A 228 -28.713 -44.911 41.469 1.00 0.00 H +ATOM 3511 N TYR A 229 -31.882 -41.294 38.973 1.00 0.00 N +ATOM 3512 CA TYR A 229 -33.086 -40.502 39.202 1.00 0.00 C +ATOM 3513 C TYR A 229 -33.710 -40.156 37.853 1.00 0.00 C +ATOM 3514 O TYR A 229 -33.122 -39.406 37.067 1.00 0.00 O +ATOM 3515 CB TYR A 229 -32.783 -39.237 40.001 1.00 0.00 C +ATOM 3516 CG TYR A 229 -33.998 -38.360 40.115 1.00 0.00 C +ATOM 3517 CD1 TYR A 229 -35.048 -38.719 40.942 1.00 0.00 C +ATOM 3518 CD2 TYR A 229 -34.113 -37.195 39.371 1.00 0.00 C +ATOM 3519 CE1 TYR A 229 -36.173 -37.938 41.044 1.00 0.00 C +ATOM 3520 CE2 TYR A 229 -35.237 -36.403 39.465 1.00 0.00 C +ATOM 3521 CZ TYR A 229 -36.266 -36.779 40.304 1.00 0.00 C +ATOM 3522 OH TYR A 229 -37.397 -36.000 40.407 1.00 0.00 O +ATOM 3523 H TYR A 229 -31.052 -40.834 38.658 1.00 0.00 H +ATOM 3524 HA TYR A 229 -33.810 -41.104 39.772 1.00 0.00 H +ATOM 3525 HB2 TYR A 229 -32.450 -39.521 41.010 1.00 0.00 H +ATOM 3526 HB3 TYR A 229 -31.983 -38.677 39.495 1.00 0.00 H +ATOM 3527 HD1 TYR A 229 -34.981 -39.630 41.518 1.00 0.00 H +ATOM 3528 HD2 TYR A 229 -33.311 -36.904 38.709 1.00 0.00 H +ATOM 3529 HE1 TYR A 229 -36.980 -38.230 41.700 1.00 0.00 H +ATOM 3530 HE2 TYR A 229 -35.312 -35.494 38.886 1.00 0.00 H +ATOM 3531 HH TYR A 229 -37.148 -35.085 40.466 1.00 0.00 H +ATOM 3532 N ASP A 230 -34.911 -40.673 37.596 1.00 0.00 N +ATOM 3533 CA ASP A 230 -35.668 -41.451 38.577 1.00 0.00 C +ATOM 3534 C ASP A 230 -35.618 -42.943 38.268 1.00 0.00 C +ATOM 3535 O ASP A 230 -36.261 -43.752 38.941 1.00 0.00 O +ATOM 3536 CB ASP A 230 -37.118 -40.975 38.630 1.00 0.00 C +ATOM 3537 CG ASP A 230 -37.800 -41.024 37.276 1.00 0.00 C +ATOM 3538 OD1 ASP A 230 -37.092 -41.132 36.253 1.00 0.00 O +ATOM 3539 OD2 ASP A 230 -39.047 -40.945 37.238 1.00 0.00 O1- +ATOM 3540 H ASP A 230 -35.313 -40.523 36.693 1.00 0.00 H +ATOM 3541 HA ASP A 230 -35.224 -41.295 39.571 1.00 0.00 H +ATOM 3542 HB2 ASP A 230 -37.674 -41.618 39.328 1.00 0.00 H +ATOM 3543 HB3 ASP A 230 -37.135 -39.938 38.995 1.00 0.00 H +ATOM 3544 N LYS A 231 -34.852 -43.294 37.239 1.00 0.00 N +ATOM 3545 CA LYS A 231 -34.632 -44.686 36.876 1.00 0.00 C +ATOM 3546 C LYS A 231 -33.446 -44.752 35.925 1.00 0.00 C +ATOM 3547 O LYS A 231 -33.059 -43.753 35.313 1.00 0.00 O +ATOM 3548 CB LYS A 231 -35.879 -45.312 36.236 1.00 0.00 C +ATOM 3549 CG LYS A 231 -36.200 -44.782 34.847 1.00 0.00 C +ATOM 3550 CD LYS A 231 -37.503 -45.361 34.306 1.00 0.00 C +ATOM 3551 CE LYS A 231 -37.883 -44.727 32.970 1.00 0.00 C +ATOM 3552 NZ LYS A 231 -38.221 -43.279 33.092 1.00 0.00 N1+ +ATOM 3553 H LYS A 231 -34.413 -42.578 36.697 1.00 0.00 H +ATOM 3554 HA LYS A 231 -34.384 -45.262 37.780 1.00 0.00 H +ATOM 3555 HB2 LYS A 231 -35.721 -46.398 36.163 1.00 0.00 H +ATOM 3556 HB3 LYS A 231 -36.740 -45.110 36.890 1.00 0.00 H +ATOM 3557 HG2 LYS A 231 -36.291 -43.687 34.896 1.00 0.00 H +ATOM 3558 HG3 LYS A 231 -35.380 -45.052 34.165 1.00 0.00 H +ATOM 3559 HD2 LYS A 231 -37.382 -46.445 34.166 1.00 0.00 H +ATOM 3560 HD3 LYS A 231 -38.307 -45.173 35.033 1.00 0.00 H +ATOM 3561 HE2 LYS A 231 -37.035 -44.833 32.277 1.00 0.00 H +ATOM 3562 HE3 LYS A 231 -38.756 -45.259 32.564 1.00 0.00 H +ATOM 3563 HZ1 LYS A 231 -38.891 -43.032 32.392 1.00 0.00 H +ATOM 3564 HZ2 LYS A 231 -38.605 -43.102 33.998 1.00 0.00 H +ATOM 3565 HZ3 LYS A 231 -37.393 -42.732 32.968 1.00 0.00 H +ATOM 3566 N SER A 232 -32.861 -45.941 35.828 1.00 0.00 N +ATOM 3567 CA SER A 232 -31.796 -46.232 34.877 1.00 0.00 C +ATOM 3568 C SER A 232 -32.203 -47.470 34.094 1.00 0.00 C +ATOM 3569 O SER A 232 -32.444 -48.525 34.688 1.00 0.00 O +ATOM 3570 CB SER A 232 -30.458 -46.454 35.588 1.00 0.00 C +ATOM 3571 OG SER A 232 -29.871 -45.227 35.983 1.00 0.00 O +ATOM 3572 H SER A 232 -33.167 -46.672 36.438 1.00 0.00 H +ATOM 3573 HA SER A 232 -31.686 -45.391 34.177 1.00 0.00 H +ATOM 3574 HB2 SER A 232 -30.626 -47.074 36.481 1.00 0.00 H +ATOM 3575 HB3 SER A 232 -29.772 -46.975 34.904 1.00 0.00 H +ATOM 3576 HG SER A 232 -29.350 -45.362 36.766 1.00 0.00 H +ATOM 3577 N ILE A 233 -32.294 -47.342 32.769 1.00 0.00 N +ATOM 3578 CA ILE A 233 -32.775 -48.429 31.929 1.00 0.00 C +ATOM 3579 C ILE A 233 -31.815 -48.656 30.769 1.00 0.00 C +ATOM 3580 O ILE A 233 -30.983 -47.808 30.433 1.00 0.00 O +ATOM 3581 CB ILE A 233 -34.202 -48.171 31.392 1.00 0.00 C +ATOM 3582 CG1 ILE A 233 -34.175 -47.073 30.330 1.00 0.00 C +ATOM 3583 CG2 ILE A 233 -35.151 -47.805 32.526 1.00 0.00 C +ATOM 3584 CD1 ILE A 233 -35.464 -46.955 29.542 1.00 0.00 C +ATOM 3585 H ILE A 233 -32.025 -46.478 32.343 1.00 0.00 H +ATOM 3586 HA ILE A 233 -32.806 -49.351 32.528 1.00 0.00 H +ATOM 3587 HB ILE A 233 -34.563 -49.098 30.923 1.00 0.00 H +ATOM 3588 HG12 ILE A 233 -33.984 -46.112 30.829 1.00 0.00 H +ATOM 3589 HG13 ILE A 233 -33.357 -47.290 29.627 1.00 0.00 H +ATOM 3590 HG21 ILE A 233 -36.157 -47.627 32.119 1.00 0.00 H +ATOM 3591 HG22 ILE A 233 -35.190 -48.630 33.252 1.00 0.00 H +ATOM 3592 HG23 ILE A 233 -34.791 -46.894 33.026 1.00 0.00 H +ATOM 3593 HD11 ILE A 233 -35.369 -46.148 28.801 1.00 0.00 H +ATOM 3594 HD12 ILE A 233 -35.666 -47.905 29.026 1.00 0.00 H +ATOM 3595 HD13 ILE A 233 -36.293 -46.727 30.228 1.00 0.00 H +ATOM 3596 N VAL A 234 -31.954 -49.830 30.160 1.00 0.00 N +ATOM 3597 CA VAL A 234 -31.153 -50.265 29.022 1.00 0.00 C +ATOM 3598 C VAL A 234 -32.090 -50.352 27.824 1.00 0.00 C +ATOM 3599 O VAL A 234 -32.998 -51.191 27.800 1.00 0.00 O +ATOM 3600 CB VAL A 234 -30.474 -51.613 29.297 1.00 0.00 C +ATOM 3601 CG1 VAL A 234 -29.689 -52.076 28.084 1.00 0.00 C +ATOM 3602 CG2 VAL A 234 -29.585 -51.511 30.532 1.00 0.00 C +ATOM 3603 H VAL A 234 -32.654 -50.456 30.505 1.00 0.00 H +ATOM 3604 HA VAL A 234 -30.375 -49.517 28.809 1.00 0.00 H +ATOM 3605 HB VAL A 234 -31.260 -52.355 29.502 1.00 0.00 H +ATOM 3606 HG11 VAL A 234 -29.211 -53.042 28.303 1.00 0.00 H +ATOM 3607 HG12 VAL A 234 -30.370 -52.189 27.228 1.00 0.00 H +ATOM 3608 HG13 VAL A 234 -28.916 -51.332 27.842 1.00 0.00 H +ATOM 3609 HG21 VAL A 234 -29.104 -52.482 30.719 1.00 0.00 H +ATOM 3610 HG22 VAL A 234 -28.813 -50.745 30.366 1.00 0.00 H +ATOM 3611 HG23 VAL A 234 -30.197 -51.231 31.402 1.00 0.00 H +ATOM 3612 N ASP A 235 -31.876 -49.499 26.824 1.00 0.00 N +ATOM 3613 CA ASP A 235 -32.873 -49.258 25.780 1.00 0.00 C +ATOM 3614 C ASP A 235 -32.218 -49.281 24.401 1.00 0.00 C +ATOM 3615 O ASP A 235 -31.535 -48.328 24.017 1.00 0.00 O +ATOM 3616 CB ASP A 235 -33.578 -47.929 26.030 1.00 0.00 C +ATOM 3617 CG ASP A 235 -34.644 -47.623 24.995 1.00 0.00 C +ATOM 3618 OD1 ASP A 235 -35.096 -46.459 24.936 1.00 0.00 O +ATOM 3619 OD2 ASP A 235 -35.026 -48.541 24.240 1.00 0.00 O1- +ATOM 3620 H ASP A 235 -31.006 -49.007 26.785 1.00 0.00 H +ATOM 3621 HA ASP A 235 -33.627 -50.058 25.815 1.00 0.00 H +ATOM 3622 HB2 ASP A 235 -34.052 -47.964 27.022 1.00 0.00 H +ATOM 3623 HB3 ASP A 235 -32.828 -47.125 26.010 1.00 0.00 H +ATOM 3624 N SER A 236 -32.464 -50.352 23.641 1.00 0.00 N +ATOM 3625 CA SER A 236 -31.954 -50.429 22.278 1.00 0.00 C +ATOM 3626 C SER A 236 -32.717 -49.537 21.308 1.00 0.00 C +ATOM 3627 O SER A 236 -32.288 -49.396 20.158 1.00 0.00 O +ATOM 3628 CB SER A 236 -31.995 -51.871 21.772 1.00 0.00 C +ATOM 3629 OG SER A 236 -33.329 -52.298 21.564 1.00 0.00 O +ATOM 3630 H SER A 236 -33.004 -51.108 24.011 1.00 0.00 H +ATOM 3631 HA SER A 236 -30.903 -50.104 22.278 1.00 0.00 H +ATOM 3632 HB2 SER A 236 -31.445 -51.935 20.822 1.00 0.00 H +ATOM 3633 HB3 SER A 236 -31.519 -52.527 22.516 1.00 0.00 H +ATOM 3634 HG SER A 236 -33.597 -52.081 20.679 1.00 0.00 H +ATOM 3635 N GLY A 237 -33.833 -48.950 21.727 1.00 0.00 N +ATOM 3636 CA GLY A 237 -34.587 -48.022 20.912 1.00 0.00 C +ATOM 3637 C GLY A 237 -34.179 -46.575 21.065 1.00 0.00 C +ATOM 3638 O GLY A 237 -34.915 -45.680 20.635 1.00 0.00 O +ATOM 3639 H GLY A 237 -34.167 -49.159 22.646 1.00 0.00 H +ATOM 3640 HA2 GLY A 237 -34.455 -48.306 19.858 1.00 0.00 H +ATOM 3641 HA3 GLY A 237 -35.649 -48.110 21.185 1.00 0.00 H +ATOM 3642 N THR A 238 -33.029 -46.317 21.683 1.00 0.00 N +ATOM 3643 CA THR A 238 -32.495 -44.974 21.847 1.00 0.00 C +ATOM 3644 C THR A 238 -31.061 -44.973 21.354 1.00 0.00 C +ATOM 3645 O THR A 238 -30.304 -45.903 21.645 1.00 0.00 O +ATOM 3646 CB THR A 238 -32.551 -44.523 23.311 1.00 0.00 C +ATOM 3647 OG1 THR A 238 -33.917 -44.414 23.728 1.00 0.00 O +ATOM 3648 CG2 THR A 238 -31.863 -43.172 23.486 1.00 0.00 C +ATOM 3649 H THR A 238 -32.506 -47.085 22.053 1.00 0.00 H +ATOM 3650 HA THR A 238 -33.079 -44.267 21.240 1.00 0.00 H +ATOM 3651 HB THR A 238 -32.028 -45.268 23.928 1.00 0.00 H +ATOM 3652 HG1 THR A 238 -34.273 -45.282 23.879 1.00 0.00 H +ATOM 3653 HG21 THR A 238 -31.915 -42.868 24.542 1.00 0.00 H +ATOM 3654 HG22 THR A 238 -30.810 -43.255 23.179 1.00 0.00 H +ATOM 3655 HG23 THR A 238 -32.368 -42.420 22.863 1.00 0.00 H +ATOM 3656 N THR A 239 -30.694 -43.944 20.596 1.00 0.00 N +ATOM 3657 CA THR A 239 -29.318 -43.848 20.128 1.00 0.00 C +ATOM 3658 C THR A 239 -28.376 -43.490 21.269 1.00 0.00 C +ATOM 3659 O THR A 239 -27.389 -44.191 21.518 1.00 0.00 O +ATOM 3660 CB THR A 239 -29.210 -42.812 19.013 1.00 0.00 C +ATOM 3661 OG1 THR A 239 -29.927 -43.267 17.860 1.00 0.00 O +ATOM 3662 CG2 THR A 239 -27.754 -42.598 18.646 1.00 0.00 C +ATOM 3663 H THR A 239 -31.359 -43.240 20.348 1.00 0.00 H +ATOM 3664 HA THR A 239 -29.009 -44.822 19.721 1.00 0.00 H +ATOM 3665 HB THR A 239 -29.632 -41.861 19.370 1.00 0.00 H +ATOM 3666 HG1 THR A 239 -29.324 -43.375 17.134 1.00 0.00 H +ATOM 3667 HG21 THR A 239 -27.684 -41.850 17.842 1.00 0.00 H +ATOM 3668 HG22 THR A 239 -27.202 -42.241 19.528 1.00 0.00 H +ATOM 3669 HG23 THR A 239 -27.319 -43.548 18.302 1.00 0.00 H +ATOM 3670 N ASN A 240 -28.690 -42.424 21.994 1.00 0.00 N +ATOM 3671 CA ASN A 240 -27.738 -41.752 22.862 1.00 0.00 C +ATOM 3672 C ASN A 240 -27.616 -42.419 24.223 1.00 0.00 C +ATOM 3673 O ASN A 240 -28.499 -43.150 24.677 1.00 0.00 O +ATOM 3674 CB ASN A 240 -28.147 -40.295 23.077 1.00 0.00 C +ATOM 3675 CG ASN A 240 -27.966 -39.449 21.839 1.00 0.00 C +ATOM 3676 OD1 ASN A 240 -27.559 -39.939 20.788 1.00 0.00 O +ATOM 3677 ND2 ASN A 240 -28.274 -38.162 21.958 1.00 0.00 N +ATOM 3678 H ASN A 240 -29.623 -42.067 21.941 1.00 0.00 H +ATOM 3679 HA ASN A 240 -26.747 -41.762 22.385 1.00 0.00 H +ATOM 3680 HB2 ASN A 240 -29.207 -40.267 23.370 1.00 0.00 H +ATOM 3681 HB3 ASN A 240 -27.531 -39.872 23.885 1.00 0.00 H +ATOM 3682 HD21 ASN A 240 -28.178 -37.550 21.173 1.00 0.00 H +ATOM 3683 HD22 ASN A 240 -28.602 -37.805 22.833 1.00 0.00 H +ATOM 3684 N LEU A 241 -26.486 -42.145 24.872 1.00 0.00 N +ATOM 3685 CA LEU A 241 -26.392 -42.226 26.321 1.00 0.00 C +ATOM 3686 C LEU A 241 -27.049 -40.970 26.880 1.00 0.00 C +ATOM 3687 O LEU A 241 -26.539 -39.859 26.695 1.00 0.00 O +ATOM 3688 CB LEU A 241 -24.936 -42.340 26.766 1.00 0.00 C +ATOM 3689 CG LEU A 241 -24.706 -42.306 28.278 1.00 0.00 C +ATOM 3690 CD1 LEU A 241 -25.477 -43.426 28.954 1.00 0.00 C +ATOM 3691 CD2 LEU A 241 -23.220 -42.385 28.622 1.00 0.00 C +ATOM 3692 H LEU A 241 -25.678 -41.876 24.348 1.00 0.00 H +ATOM 3693 HA LEU A 241 -26.944 -43.107 26.682 1.00 0.00 H +ATOM 3694 HB2 LEU A 241 -24.538 -43.292 26.384 1.00 0.00 H +ATOM 3695 HB3 LEU A 241 -24.378 -41.504 26.319 1.00 0.00 H +ATOM 3696 HG LEU A 241 -25.092 -41.348 28.658 1.00 0.00 H +ATOM 3697 HD11 LEU A 241 -25.302 -43.389 30.039 1.00 0.00 H +ATOM 3698 HD12 LEU A 241 -26.552 -43.306 28.751 1.00 0.00 H +ATOM 3699 HD13 LEU A 241 -25.136 -44.395 28.561 1.00 0.00 H +ATOM 3700 HD21 LEU A 241 -23.094 -42.358 29.714 1.00 0.00 H +ATOM 3701 HD22 LEU A 241 -22.802 -43.323 28.228 1.00 0.00 H +ATOM 3702 HD23 LEU A 241 -22.694 -41.531 28.171 1.00 0.00 H +ATOM 3703 N ARG A 242 -28.194 -41.136 27.533 1.00 0.00 N +ATOM 3704 CA ARG A 242 -28.951 -40.026 28.093 1.00 0.00 C +ATOM 3705 C ARG A 242 -28.810 -40.034 29.608 1.00 0.00 C +ATOM 3706 O ARG A 242 -28.955 -41.078 30.251 1.00 0.00 O +ATOM 3707 CB ARG A 242 -30.427 -40.106 27.680 1.00 0.00 C +ATOM 3708 CG ARG A 242 -30.610 -40.196 26.167 1.00 0.00 C +ATOM 3709 CD ARG A 242 -32.070 -40.097 25.708 1.00 0.00 C +ATOM 3710 NE ARG A 242 -32.647 -38.768 25.901 1.00 0.00 N +ATOM 3711 CZ ARG A 242 -33.757 -38.532 26.594 1.00 0.00 C +ATOM 3712 NH1 ARG A 242 -34.419 -39.538 27.150 1.00 0.00 N +ATOM 3713 NH2 ARG A 242 -34.211 -37.292 26.723 1.00 0.00 N1+ +ATOM 3714 H ARG A 242 -28.551 -42.063 27.645 1.00 0.00 H +ATOM 3715 HA ARG A 242 -28.539 -39.079 27.712 1.00 0.00 H +ATOM 3716 HB2 ARG A 242 -30.874 -40.998 28.142 1.00 0.00 H +ATOM 3717 HB3 ARG A 242 -30.944 -39.206 28.044 1.00 0.00 H +ATOM 3718 HG2 ARG A 242 -30.045 -39.376 25.701 1.00 0.00 H +ATOM 3719 HG3 ARG A 242 -30.205 -41.160 25.826 1.00 0.00 H +ATOM 3720 HD2 ARG A 242 -32.117 -40.346 24.638 1.00 0.00 H +ATOM 3721 HD3 ARG A 242 -32.666 -40.823 26.280 1.00 0.00 H +ATOM 3722 HE ARG A 242 -32.178 -37.988 25.486 1.00 0.00 H +ATOM 3723 HH11 ARG A 242 -35.258 -39.361 27.665 1.00 0.00 H +ATOM 3724 HH12 ARG A 242 -34.079 -40.474 27.055 1.00 0.00 H +ATOM 3725 HH21 ARG A 242 -35.050 -37.118 27.238 1.00 0.00 H +ATOM 3726 HH22 ARG A 242 -33.714 -36.532 26.305 1.00 0.00 H +ATOM 3727 N LEU A 243 -28.520 -38.861 30.169 1.00 0.00 N +ATOM 3728 CA LEU A 243 -28.187 -38.716 31.574 1.00 0.00 C +ATOM 3729 C LEU A 243 -29.051 -37.641 32.221 1.00 0.00 C +ATOM 3730 O LEU A 243 -29.412 -36.652 31.569 1.00 0.00 O +ATOM 3731 CB LEU A 243 -26.705 -38.347 31.747 1.00 0.00 C +ATOM 3732 CG LEU A 243 -25.689 -39.305 31.135 1.00 0.00 C +ATOM 3733 CD1 LEU A 243 -24.314 -38.660 31.109 1.00 0.00 C +ATOM 3734 CD2 LEU A 243 -25.662 -40.596 31.929 1.00 0.00 C +ATOM 3735 H LEU A 243 -28.532 -38.042 29.595 1.00 0.00 H +ATOM 3736 HA LEU A 243 -28.369 -39.668 32.093 1.00 0.00 H +ATOM 3737 HB2 LEU A 243 -26.551 -37.359 31.288 1.00 0.00 H +ATOM 3738 HB3 LEU A 243 -26.500 -38.287 32.826 1.00 0.00 H +ATOM 3739 HG LEU A 243 -25.994 -39.530 30.102 1.00 0.00 H +ATOM 3740 HD11 LEU A 243 -23.589 -39.359 30.666 1.00 0.00 H +ATOM 3741 HD12 LEU A 243 -24.352 -37.740 30.507 1.00 0.00 H +ATOM 3742 HD13 LEU A 243 -24.005 -38.414 32.136 1.00 0.00 H +ATOM 3743 HD21 LEU A 243 -24.928 -41.285 31.485 1.00 0.00 H +ATOM 3744 HD22 LEU A 243 -25.379 -40.380 32.970 1.00 0.00 H +ATOM 3745 HD23 LEU A 243 -26.659 -41.060 31.909 1.00 0.00 H +ATOM 3746 N PRO A 244 -29.397 -37.811 33.496 1.00 0.00 N +ATOM 3747 CA PRO A 244 -30.120 -36.754 34.212 1.00 0.00 C +ATOM 3748 C PRO A 244 -29.375 -35.427 34.155 1.00 0.00 C +ATOM 3749 O PRO A 244 -28.158 -35.382 33.961 1.00 0.00 O +ATOM 3750 CB PRO A 244 -30.206 -37.295 35.641 1.00 0.00 C +ATOM 3751 CG PRO A 244 -30.195 -38.775 35.467 1.00 0.00 C +ATOM 3752 CD PRO A 244 -29.301 -39.050 34.287 1.00 0.00 C +ATOM 3753 HA PRO A 244 -31.133 -36.631 33.800 1.00 0.00 H +ATOM 3754 HB2 PRO A 244 -29.342 -36.965 36.237 1.00 0.00 H +ATOM 3755 HB3 PRO A 244 -31.135 -36.965 36.129 1.00 0.00 H +ATOM 3756 HG2 PRO A 244 -29.797 -39.263 36.369 1.00 0.00 H +ATOM 3757 HG3 PRO A 244 -31.212 -39.144 35.269 1.00 0.00 H +ATOM 3758 HD2 PRO A 244 -29.663 -39.915 33.711 1.00 0.00 H +ATOM 3759 HD3 PRO A 244 -28.266 -39.232 34.611 1.00 0.00 H +ATOM 3760 N LYS A 245 -30.132 -34.342 34.337 1.00 0.00 N +ATOM 3761 CA LYS A 245 -29.609 -32.998 34.108 1.00 0.00 C +ATOM 3762 C LYS A 245 -28.331 -32.740 34.899 1.00 0.00 C +ATOM 3763 O LYS A 245 -27.332 -32.262 34.349 1.00 0.00 O +ATOM 3764 CB LYS A 245 -30.685 -31.970 34.456 1.00 0.00 C +ATOM 3765 CG LYS A 245 -30.276 -30.522 34.248 1.00 0.00 C +ATOM 3766 CD LYS A 245 -31.456 -29.594 34.486 1.00 0.00 C +ATOM 3767 CE LYS A 245 -31.067 -28.138 34.308 1.00 0.00 C +ATOM 3768 NZ LYS A 245 -30.050 -27.706 35.305 1.00 0.00 N1+ +ATOM 3769 H LYS A 245 -31.079 -34.452 34.637 1.00 0.00 H +ATOM 3770 HA LYS A 245 -29.372 -32.889 33.039 1.00 0.00 H +ATOM 3771 HB2 LYS A 245 -31.565 -32.170 33.827 1.00 0.00 H +ATOM 3772 HB3 LYS A 245 -30.953 -32.101 35.515 1.00 0.00 H +ATOM 3773 HG2 LYS A 245 -29.469 -30.269 34.952 1.00 0.00 H +ATOM 3774 HG3 LYS A 245 -29.916 -30.392 33.217 1.00 0.00 H +ATOM 3775 HD2 LYS A 245 -32.254 -29.840 33.770 1.00 0.00 H +ATOM 3776 HD3 LYS A 245 -31.825 -29.742 35.512 1.00 0.00 H +ATOM 3777 HE2 LYS A 245 -30.654 -28.002 33.298 1.00 0.00 H +ATOM 3778 HE3 LYS A 245 -31.965 -27.514 34.424 1.00 0.00 H +ATOM 3779 HZ1 LYS A 245 -30.166 -26.732 35.500 1.00 0.00 H +ATOM 3780 HZ2 LYS A 245 -30.167 -28.230 36.148 1.00 0.00 H +ATOM 3781 HZ3 LYS A 245 -29.134 -27.865 34.937 1.00 0.00 H +ATOM 3782 N LYS A 246 -28.339 -33.063 36.191 1.00 0.00 N +ATOM 3783 CA LYS A 246 -27.165 -32.790 37.016 1.00 0.00 C +ATOM 3784 C LYS A 246 -25.998 -33.698 36.647 1.00 0.00 C +ATOM 3785 O LYS A 246 -24.833 -33.288 36.727 1.00 0.00 O +ATOM 3786 CB LYS A 246 -27.519 -32.937 38.495 1.00 0.00 C +ATOM 3787 CG LYS A 246 -28.575 -31.956 38.980 1.00 0.00 C +ATOM 3788 CD LYS A 246 -28.015 -30.547 39.126 1.00 0.00 C +ATOM 3789 CE LYS A 246 -29.039 -29.611 39.752 1.00 0.00 C +ATOM 3790 NZ LYS A 246 -28.512 -28.229 39.922 1.00 0.00 N1+ +ATOM 3791 H LYS A 246 -29.147 -33.492 36.595 1.00 0.00 H +ATOM 3792 HA LYS A 246 -26.850 -31.750 36.847 1.00 0.00 H +ATOM 3793 HB2 LYS A 246 -27.893 -33.958 38.661 1.00 0.00 H +ATOM 3794 HB3 LYS A 246 -26.605 -32.781 39.086 1.00 0.00 H +ATOM 3795 HG2 LYS A 246 -29.402 -31.937 38.255 1.00 0.00 H +ATOM 3796 HG3 LYS A 246 -28.951 -32.292 39.957 1.00 0.00 H +ATOM 3797 HD2 LYS A 246 -27.121 -30.581 39.766 1.00 0.00 H +ATOM 3798 HD3 LYS A 246 -27.740 -30.165 38.132 1.00 0.00 H +ATOM 3799 HE2 LYS A 246 -29.927 -29.574 39.104 1.00 0.00 H +ATOM 3800 HE3 LYS A 246 -29.322 -30.006 40.739 1.00 0.00 H +ATOM 3801 HZ1 LYS A 246 -29.265 -27.574 39.856 1.00 0.00 H +ATOM 3802 HZ2 LYS A 246 -28.076 -28.146 40.818 1.00 0.00 H +ATOM 3803 HZ3 LYS A 246 -27.840 -28.038 39.206 1.00 0.00 H +ATOM 3804 N VAL A 247 -26.286 -34.932 36.237 1.00 0.00 N +ATOM 3805 CA VAL A 247 -25.219 -35.845 35.841 1.00 0.00 C +ATOM 3806 C VAL A 247 -24.643 -35.431 34.496 1.00 0.00 C +ATOM 3807 O VAL A 247 -23.421 -35.411 34.305 1.00 0.00 O +ATOM 3808 CB VAL A 247 -25.732 -37.295 35.815 1.00 0.00 C +ATOM 3809 CG1 VAL A 247 -24.619 -38.249 35.414 1.00 0.00 C +ATOM 3810 CG2 VAL A 247 -26.300 -37.670 37.170 1.00 0.00 C +ATOM 3811 H VAL A 247 -27.239 -35.234 36.200 1.00 0.00 H +ATOM 3812 HA VAL A 247 -24.412 -35.789 36.586 1.00 0.00 H +ATOM 3813 HB VAL A 247 -26.536 -37.363 35.068 1.00 0.00 H +ATOM 3814 HG11 VAL A 247 -25.005 -39.279 35.401 1.00 0.00 H +ATOM 3815 HG12 VAL A 247 -24.251 -37.983 34.412 1.00 0.00 H +ATOM 3816 HG13 VAL A 247 -23.795 -38.175 36.139 1.00 0.00 H +ATOM 3817 HG21 VAL A 247 -26.664 -38.708 37.141 1.00 0.00 H +ATOM 3818 HG22 VAL A 247 -25.515 -37.578 37.935 1.00 0.00 H +ATOM 3819 HG23 VAL A 247 -27.133 -36.996 37.417 1.00 0.00 H +ATOM 3820 N PHE A 248 -25.515 -35.088 33.547 1.00 0.00 N +ATOM 3821 CA PHE A 248 -25.069 -34.673 32.222 1.00 0.00 C +ATOM 3822 C PHE A 248 -24.134 -33.470 32.299 1.00 0.00 C +ATOM 3823 O PHE A 248 -23.094 -33.430 31.632 1.00 0.00 O +ATOM 3824 CB PHE A 248 -26.286 -34.362 31.348 1.00 0.00 C +ATOM 3825 CG PHE A 248 -25.948 -33.663 30.066 1.00 0.00 C +ATOM 3826 CD1 PHE A 248 -25.440 -34.370 28.989 1.00 0.00 C +ATOM 3827 CD2 PHE A 248 -26.146 -32.298 29.931 1.00 0.00 C +ATOM 3828 CE1 PHE A 248 -25.130 -33.728 27.806 1.00 0.00 C +ATOM 3829 CE2 PHE A 248 -25.836 -31.653 28.752 1.00 0.00 C +ATOM 3830 CZ PHE A 248 -25.327 -32.369 27.688 1.00 0.00 C +ATOM 3831 H PHE A 248 -26.494 -35.116 33.748 1.00 0.00 H +ATOM 3832 HA PHE A 248 -24.519 -35.503 31.755 1.00 0.00 H +ATOM 3833 HB2 PHE A 248 -26.789 -35.309 31.104 1.00 0.00 H +ATOM 3834 HB3 PHE A 248 -26.971 -33.721 31.923 1.00 0.00 H +ATOM 3835 HD1 PHE A 248 -25.285 -35.435 29.075 1.00 0.00 H +ATOM 3836 HD2 PHE A 248 -26.548 -31.733 30.759 1.00 0.00 H +ATOM 3837 HE1 PHE A 248 -24.733 -34.291 26.974 1.00 0.00 H +ATOM 3838 HE2 PHE A 248 -25.992 -30.588 28.662 1.00 0.00 H +ATOM 3839 HZ PHE A 248 -25.083 -31.865 26.764 1.00 0.00 H +ATOM 3840 N GLU A 249 -24.498 -32.472 33.106 1.00 0.00 N +ATOM 3841 CA GLU A 249 -23.672 -31.274 33.218 1.00 0.00 C +ATOM 3842 C GLU A 249 -22.296 -31.596 33.787 1.00 0.00 C +ATOM 3843 O GLU A 249 -21.280 -31.106 33.283 1.00 0.00 O +ATOM 3844 CB GLU A 249 -24.382 -30.225 34.071 1.00 0.00 C +ATOM 3845 CG GLU A 249 -25.584 -29.587 33.386 1.00 0.00 C +ATOM 3846 CD GLU A 249 -26.346 -28.663 34.308 1.00 0.00 C +ATOM 3847 OE1 GLU A 249 -25.716 -28.083 35.216 1.00 0.00 O +ATOM 3848 OE2 GLU A 249 -27.575 -28.525 34.128 1.00 0.00 O1- +ATOM 3849 H GLU A 249 -25.342 -32.545 33.637 1.00 0.00 H +ATOM 3850 HA GLU A 249 -23.530 -30.850 32.213 1.00 0.00 H +ATOM 3851 HB2 GLU A 249 -24.726 -30.707 34.998 1.00 0.00 H +ATOM 3852 HB3 GLU A 249 -23.661 -29.431 34.316 1.00 0.00 H +ATOM 3853 HG2 GLU A 249 -25.232 -29.010 32.519 1.00 0.00 H +ATOM 3854 HG3 GLU A 249 -26.261 -30.384 33.045 1.00 0.00 H +ATOM 3855 N ALA A 250 -22.240 -32.425 34.830 1.00 0.00 N +ATOM 3856 CA ALA A 250 -20.949 -32.826 35.383 1.00 0.00 C +ATOM 3857 C ALA A 250 -20.136 -33.622 34.369 1.00 0.00 C +ATOM 3858 O ALA A 250 -18.920 -33.440 34.252 1.00 0.00 O +ATOM 3859 CB ALA A 250 -21.152 -33.632 36.665 1.00 0.00 C +ATOM 3860 H ALA A 250 -23.085 -32.773 35.235 1.00 0.00 H +ATOM 3861 HA ALA A 250 -20.378 -31.921 35.640 1.00 0.00 H +ATOM 3862 HB1 ALA A 250 -20.174 -33.928 37.071 1.00 0.00 H +ATOM 3863 HB2 ALA A 250 -21.685 -33.016 37.404 1.00 0.00 H +ATOM 3864 HB3 ALA A 250 -21.744 -34.532 36.442 1.00 0.00 H +ATOM 3865 N ALA A 251 -20.794 -34.510 33.622 1.00 0.00 N +ATOM 3866 CA ALA A 251 -20.072 -35.349 32.670 1.00 0.00 C +ATOM 3867 C ALA A 251 -19.475 -34.517 31.542 1.00 0.00 C +ATOM 3868 O ALA A 251 -18.333 -34.739 31.126 1.00 0.00 O +ATOM 3869 CB ALA A 251 -20.997 -36.432 32.112 1.00 0.00 C +ATOM 3870 H ALA A 251 -21.785 -34.601 33.714 1.00 0.00 H +ATOM 3871 HA ALA A 251 -19.246 -35.849 33.196 1.00 0.00 H +ATOM 3872 HB1 ALA A 251 -20.442 -37.056 31.397 1.00 0.00 H +ATOM 3873 HB2 ALA A 251 -21.366 -37.059 32.937 1.00 0.00 H +ATOM 3874 HB3 ALA A 251 -21.849 -35.959 31.601 1.00 0.00 H +ATOM 3875 N VAL A 252 -20.233 -33.543 31.044 1.00 0.00 N +ATOM 3876 CA VAL A 252 -19.765 -32.743 29.915 1.00 0.00 C +ATOM 3877 C VAL A 252 -18.571 -31.888 30.319 1.00 0.00 C +ATOM 3878 O VAL A 252 -17.624 -31.712 29.543 1.00 0.00 O +ATOM 3879 CB VAL A 252 -20.919 -31.892 29.353 1.00 0.00 C +ATOM 3880 CG1 VAL A 252 -20.390 -30.806 28.436 1.00 0.00 C +ATOM 3881 CG2 VAL A 252 -21.894 -32.782 28.611 1.00 0.00 C +ATOM 3882 H VAL A 252 -21.130 -33.357 31.446 1.00 0.00 H +ATOM 3883 HA VAL A 252 -19.435 -33.424 29.117 1.00 0.00 H +ATOM 3884 HB VAL A 252 -21.444 -31.418 30.196 1.00 0.00 H +ATOM 3885 HG11 VAL A 252 -21.230 -30.212 28.047 1.00 0.00 H +ATOM 3886 HG12 VAL A 252 -19.708 -30.152 28.998 1.00 0.00 H +ATOM 3887 HG13 VAL A 252 -19.848 -31.267 27.597 1.00 0.00 H +ATOM 3888 HG21 VAL A 252 -22.717 -32.172 28.211 1.00 0.00 H +ATOM 3889 HG22 VAL A 252 -21.374 -33.285 27.782 1.00 0.00 H +ATOM 3890 HG23 VAL A 252 -22.299 -33.537 29.301 1.00 0.00 H +ATOM 3891 N LYS A 253 -18.594 -31.344 31.535 1.00 0.00 N +ATOM 3892 CA LYS A 253 -17.464 -30.555 32.012 1.00 0.00 C +ATOM 3893 C LYS A 253 -16.198 -31.402 32.088 1.00 0.00 C +ATOM 3894 O LYS A 253 -15.107 -30.945 31.727 1.00 0.00 O +ATOM 3895 CB LYS A 253 -17.798 -29.942 33.374 1.00 0.00 C +ATOM 3896 CG LYS A 253 -16.699 -29.089 33.978 1.00 0.00 C +ATOM 3897 CD LYS A 253 -17.196 -28.388 35.233 1.00 0.00 C +ATOM 3898 CE LYS A 253 -16.048 -27.804 36.040 1.00 0.00 C +ATOM 3899 NZ LYS A 253 -16.526 -27.093 37.259 1.00 0.00 N1+ +ATOM 3900 H LYS A 253 -19.391 -31.478 32.124 1.00 0.00 H +ATOM 3901 HA LYS A 253 -17.281 -29.732 31.305 1.00 0.00 H +ATOM 3902 HB2 LYS A 253 -18.692 -29.313 33.255 1.00 0.00 H +ATOM 3903 HB3 LYS A 253 -18.017 -30.762 34.073 1.00 0.00 H +ATOM 3904 HG2 LYS A 253 -15.844 -29.731 34.237 1.00 0.00 H +ATOM 3905 HG3 LYS A 253 -16.382 -28.334 33.243 1.00 0.00 H +ATOM 3906 HD2 LYS A 253 -17.877 -27.575 34.942 1.00 0.00 H +ATOM 3907 HD3 LYS A 253 -17.737 -29.114 35.857 1.00 0.00 H +ATOM 3908 HE2 LYS A 253 -15.377 -28.621 36.346 1.00 0.00 H +ATOM 3909 HE3 LYS A 253 -15.496 -27.093 35.408 1.00 0.00 H +ATOM 3910 HZ1 LYS A 253 -15.742 -26.725 37.760 1.00 0.00 H +ATOM 3911 HZ2 LYS A 253 -17.132 -26.344 36.992 1.00 0.00 H +ATOM 3912 HZ3 LYS A 253 -17.025 -27.733 37.844 1.00 0.00 H +ATOM 3913 N SER A 254 -16.331 -32.651 32.540 1.00 0.00 N +ATOM 3914 CA SER A 254 -15.168 -33.526 32.657 1.00 0.00 C +ATOM 3915 C SER A 254 -14.656 -33.961 31.292 1.00 0.00 C +ATOM 3916 O SER A 254 -13.441 -34.066 31.084 1.00 0.00 O +ATOM 3917 CB SER A 254 -15.510 -34.744 33.513 1.00 0.00 C +ATOM 3918 OG SER A 254 -14.356 -35.529 33.755 1.00 0.00 O +ATOM 3919 H SER A 254 -17.235 -32.990 32.801 1.00 0.00 H +ATOM 3920 HA SER A 254 -14.361 -32.975 33.162 1.00 0.00 H +ATOM 3921 HB2 SER A 254 -15.923 -34.405 34.474 1.00 0.00 H +ATOM 3922 HB3 SER A 254 -16.258 -35.355 32.987 1.00 0.00 H +ATOM 3923 HG SER A 254 -13.715 -35.370 33.072 1.00 0.00 H +ATOM 3924 N ILE A 255 -15.565 -34.224 30.351 1.00 0.00 N +ATOM 3925 CA ILE A 255 -15.152 -34.606 29.002 1.00 0.00 C +ATOM 3926 C ILE A 255 -14.467 -33.441 28.301 1.00 0.00 C +ATOM 3927 O ILE A 255 -13.505 -33.630 27.546 1.00 0.00 O +ATOM 3928 CB ILE A 255 -16.358 -35.117 28.192 1.00 0.00 C +ATOM 3929 CG1 ILE A 255 -16.945 -36.364 28.845 1.00 0.00 C +ATOM 3930 CG2 ILE A 255 -15.953 -35.410 26.757 1.00 0.00 C +ATOM 3931 CD1 ILE A 255 -18.216 -36.845 28.196 1.00 0.00 C +ATOM 3932 H ILE A 255 -16.538 -34.159 30.571 1.00 0.00 H +ATOM 3933 HA ILE A 255 -14.426 -35.429 29.076 1.00 0.00 H +ATOM 3934 HB ILE A 255 -17.128 -34.331 28.185 1.00 0.00 H +ATOM 3935 HG12 ILE A 255 -16.199 -37.170 28.788 1.00 0.00 H +ATOM 3936 HG13 ILE A 255 -17.158 -36.136 29.900 1.00 0.00 H +ATOM 3937 HG21 ILE A 255 -16.827 -35.773 26.196 1.00 0.00 H +ATOM 3938 HG22 ILE A 255 -15.573 -34.490 26.288 1.00 0.00 H +ATOM 3939 HG23 ILE A 255 -15.166 -36.179 26.748 1.00 0.00 H +ATOM 3940 HD11 ILE A 255 -18.578 -37.743 28.718 1.00 0.00 H +ATOM 3941 HD12 ILE A 255 -18.979 -36.055 28.254 1.00 0.00 H +ATOM 3942 HD13 ILE A 255 -18.020 -37.089 27.142 1.00 0.00 H +ATOM 3943 N LYS A 256 -14.964 -32.222 28.515 1.00 0.00 N +ATOM 3944 CA LYS A 256 -14.297 -31.043 27.974 1.00 0.00 C +ATOM 3945 C LYS A 256 -12.874 -30.925 28.502 1.00 0.00 C +ATOM 3946 O LYS A 256 -11.931 -30.701 27.736 1.00 0.00 O +ATOM 3947 CB LYS A 256 -15.086 -29.783 28.324 1.00 0.00 C +ATOM 3948 CG LYS A 256 -16.357 -29.553 27.533 1.00 0.00 C +ATOM 3949 CD LYS A 256 -17.224 -28.552 28.279 1.00 0.00 C +ATOM 3950 CE LYS A 256 -18.164 -27.791 27.362 1.00 0.00 C +ATOM 3951 NZ LYS A 256 -19.106 -26.949 28.158 1.00 0.00 N1+ +ATOM 3952 H LYS A 256 -15.801 -32.115 29.051 1.00 0.00 H +ATOM 3953 HA LYS A 256 -14.252 -31.127 26.878 1.00 0.00 H +ATOM 3954 HB2 LYS A 256 -15.358 -29.841 29.388 1.00 0.00 H +ATOM 3955 HB3 LYS A 256 -14.427 -28.917 28.161 1.00 0.00 H +ATOM 3956 HG2 LYS A 256 -16.107 -29.156 26.538 1.00 0.00 H +ATOM 3957 HG3 LYS A 256 -16.901 -30.503 27.423 1.00 0.00 H +ATOM 3958 HD2 LYS A 256 -17.823 -29.094 29.026 1.00 0.00 H +ATOM 3959 HD3 LYS A 256 -16.569 -27.830 28.788 1.00 0.00 H +ATOM 3960 HE2 LYS A 256 -17.574 -27.143 26.696 1.00 0.00 H +ATOM 3961 HE3 LYS A 256 -18.741 -28.508 26.760 1.00 0.00 H +ATOM 3962 HZ1 LYS A 256 -19.357 -26.138 27.629 1.00 0.00 H +ATOM 3963 HZ2 LYS A 256 -19.928 -27.477 28.369 1.00 0.00 H +ATOM 3964 HZ3 LYS A 256 -18.663 -26.667 29.009 1.00 0.00 H +ATOM 3965 N ALA A 257 -12.703 -31.063 29.818 1.00 0.00 N +ATOM 3966 CA ALA A 257 -11.382 -30.883 30.412 1.00 0.00 C +ATOM 3967 C ALA A 257 -10.405 -31.950 29.934 1.00 0.00 C +ATOM 3968 O ALA A 257 -9.226 -31.659 29.696 1.00 0.00 O +ATOM 3969 CB ALA A 257 -11.486 -30.889 31.937 1.00 0.00 C +ATOM 3970 H ALA A 257 -13.484 -31.291 30.400 1.00 0.00 H +ATOM 3971 HA ALA A 257 -10.988 -29.903 30.105 1.00 0.00 H +ATOM 3972 HB1 ALA A 257 -10.486 -30.753 32.374 1.00 0.00 H +ATOM 3973 HB2 ALA A 257 -12.143 -30.069 32.263 1.00 0.00 H +ATOM 3974 HB3 ALA A 257 -11.905 -31.850 32.272 1.00 0.00 H +ATOM 3975 N ALA A 258 -10.874 -33.189 29.781 1.00 0.00 N +ATOM 3976 CA ALA A 258 -9.983 -34.260 29.346 1.00 0.00 C +ATOM 3977 C ALA A 258 -9.579 -34.102 27.886 1.00 0.00 C +ATOM 3978 O ALA A 258 -8.484 -34.523 27.499 1.00 0.00 O +ATOM 3979 CB ALA A 258 -10.644 -35.620 29.570 1.00 0.00 C +ATOM 3980 H ALA A 258 -11.837 -33.384 29.965 1.00 0.00 H +ATOM 3981 HA ALA A 258 -9.068 -34.226 29.955 1.00 0.00 H +ATOM 3982 HB1 ALA A 258 -9.963 -36.418 29.239 1.00 0.00 H +ATOM 3983 HB2 ALA A 258 -10.866 -35.748 30.640 1.00 0.00 H +ATOM 3984 HB3 ALA A 258 -11.579 -35.673 28.993 1.00 0.00 H +ATOM 3985 N SER A 259 -10.434 -33.494 27.067 1.00 0.00 N +ATOM 3986 CA SER A 259 -10.171 -33.315 25.645 1.00 0.00 C +ATOM 3987 C SER A 259 -9.694 -31.908 25.315 1.00 0.00 C +ATOM 3988 O SER A 259 -9.844 -31.459 24.174 1.00 0.00 O +ATOM 3989 CB SER A 259 -11.428 -33.649 24.839 1.00 0.00 C +ATOM 3990 OG SER A 259 -12.542 -32.928 25.337 1.00 0.00 O +ATOM 3991 H SER A 259 -11.292 -33.146 27.443 1.00 0.00 H +ATOM 3992 HA SER A 259 -9.382 -34.018 25.342 1.00 0.00 H +ATOM 3993 HB2 SER A 259 -11.264 -33.380 23.785 1.00 0.00 H +ATOM 3994 HB3 SER A 259 -11.631 -34.727 24.915 1.00 0.00 H +ATOM 3995 HG SER A 259 -12.807 -33.292 26.174 1.00 0.00 H +ATOM 3996 N SER A 260 -9.110 -31.209 26.289 1.00 0.00 N +ATOM 3997 CA SER A 260 -8.876 -29.778 26.145 1.00 0.00 C +ATOM 3998 C SER A 260 -7.729 -29.435 25.205 1.00 0.00 C +ATOM 3999 O SER A 260 -7.473 -28.246 24.991 1.00 0.00 O +ATOM 4000 CB SER A 260 -8.617 -29.151 27.515 1.00 0.00 C +ATOM 4001 OG SER A 260 -7.345 -29.534 28.008 1.00 0.00 O +ATOM 4002 H SER A 260 -8.829 -31.673 27.129 1.00 0.00 H +ATOM 4003 HA SER A 260 -9.788 -29.317 25.738 1.00 0.00 H +ATOM 4004 HB2 SER A 260 -8.654 -28.055 27.424 1.00 0.00 H +ATOM 4005 HB3 SER A 260 -9.393 -29.487 28.219 1.00 0.00 H +ATOM 4006 HG SER A 260 -7.429 -30.333 28.516 1.00 0.00 H +ATOM 4007 N THR A 261 -7.029 -30.423 24.646 1.00 0.00 N +ATOM 4008 CA THR A 261 -6.005 -30.098 23.659 1.00 0.00 C +ATOM 4009 C THR A 261 -6.610 -29.584 22.361 1.00 0.00 C +ATOM 4010 O THR A 261 -5.896 -28.981 21.553 1.00 0.00 O +ATOM 4011 CB THR A 261 -5.115 -31.309 23.374 1.00 0.00 C +ATOM 4012 OG1 THR A 261 -5.927 -32.425 22.996 1.00 0.00 O +ATOM 4013 CG2 THR A 261 -4.301 -31.661 24.609 1.00 0.00 C +ATOM 4014 H THR A 261 -7.204 -31.374 24.900 1.00 0.00 H +ATOM 4015 HA THR A 261 -5.365 -29.303 24.068 1.00 0.00 H +ATOM 4016 HB THR A 261 -4.425 -31.053 22.557 1.00 0.00 H +ATOM 4017 HG1 THR A 261 -6.194 -32.330 22.089 1.00 0.00 H +ATOM 4018 HG21 THR A 261 -3.665 -32.532 24.394 1.00 0.00 H +ATOM 4019 HG22 THR A 261 -3.668 -30.805 24.887 1.00 0.00 H +ATOM 4020 HG23 THR A 261 -4.981 -31.900 25.440 1.00 0.00 H +ATOM 4021 N GLU A 262 -7.904 -29.809 22.148 1.00 0.00 N +ATOM 4022 CA GLU A 262 -8.648 -29.210 21.051 1.00 0.00 C +ATOM 4023 C GLU A 262 -9.948 -28.637 21.595 1.00 0.00 C +ATOM 4024 O GLU A 262 -10.598 -29.250 22.447 1.00 0.00 O +ATOM 4025 CB GLU A 262 -8.939 -30.226 19.936 1.00 0.00 C +ATOM 4026 CG GLU A 262 -7.731 -30.587 19.082 1.00 0.00 C +ATOM 4027 CD GLU A 262 -8.071 -31.571 17.978 1.00 0.00 C +ATOM 4028 OE1 GLU A 262 -9.265 -31.691 17.628 1.00 0.00 O +ATOM 4029 OE2 GLU A 262 -7.144 -32.232 17.463 1.00 0.00 O1- +ATOM 4030 H GLU A 262 -8.389 -30.420 22.773 1.00 0.00 H +ATOM 4031 HA GLU A 262 -8.059 -28.387 20.620 1.00 0.00 H +ATOM 4032 HB2 GLU A 262 -9.319 -31.147 20.401 1.00 0.00 H +ATOM 4033 HB3 GLU A 262 -9.711 -29.802 19.278 1.00 0.00 H +ATOM 4034 HG2 GLU A 262 -7.335 -29.668 18.625 1.00 0.00 H +ATOM 4035 HG3 GLU A 262 -6.963 -31.035 19.729 1.00 0.00 H +ATOM 4036 N LYS A 263 -10.313 -27.452 21.116 1.00 0.00 N +ATOM 4037 CA LYS A 263 -11.532 -26.781 21.542 1.00 0.00 C +ATOM 4038 C LYS A 263 -12.588 -26.887 20.452 1.00 0.00 C +ATOM 4039 O LYS A 263 -12.279 -26.799 19.260 1.00 0.00 O +ATOM 4040 CB LYS A 263 -11.267 -25.311 21.874 1.00 0.00 C +ATOM 4041 CG LYS A 263 -10.335 -25.092 23.054 1.00 0.00 C +ATOM 4042 CD LYS A 263 -10.952 -25.574 24.356 1.00 0.00 C +ATOM 4043 CE LYS A 263 -10.044 -25.264 25.536 1.00 0.00 C +ATOM 4044 NZ LYS A 263 -10.566 -25.837 26.809 1.00 0.00 N1+ +ATOM 4045 H LYS A 263 -9.729 -27.005 20.438 1.00 0.00 H +ATOM 4046 HA LYS A 263 -11.918 -27.273 22.447 1.00 0.00 H +ATOM 4047 HB2 LYS A 263 -10.820 -24.834 20.989 1.00 0.00 H +ATOM 4048 HB3 LYS A 263 -12.230 -24.831 22.103 1.00 0.00 H +ATOM 4049 HG2 LYS A 263 -9.400 -25.644 22.877 1.00 0.00 H +ATOM 4050 HG3 LYS A 263 -10.116 -24.017 23.140 1.00 0.00 H +ATOM 4051 HD2 LYS A 263 -11.919 -25.071 24.504 1.00 0.00 H +ATOM 4052 HD3 LYS A 263 -11.109 -26.661 24.299 1.00 0.00 H +ATOM 4053 HE2 LYS A 263 -9.048 -25.687 25.338 1.00 0.00 H +ATOM 4054 HE3 LYS A 263 -9.964 -24.172 25.645 1.00 0.00 H +ATOM 4055 HZ1 LYS A 263 -9.886 -25.718 27.532 1.00 0.00 H +ATOM 4056 HZ2 LYS A 263 -11.410 -25.366 27.065 1.00 0.00 H +ATOM 4057 HZ3 LYS A 263 -10.753 -26.811 26.684 1.00 0.00 H +ATOM 4058 N PHE A 264 -13.834 -27.085 20.870 1.00 0.00 N +ATOM 4059 CA PHE A 264 -14.959 -27.242 19.966 1.00 0.00 C +ATOM 4060 C PHE A 264 -16.062 -26.258 20.330 1.00 0.00 C +ATOM 4061 O PHE A 264 -16.154 -25.825 21.485 1.00 0.00 O +ATOM 4062 CB PHE A 264 -15.512 -28.672 20.017 1.00 0.00 C +ATOM 4063 CG PHE A 264 -14.457 -29.734 19.911 1.00 0.00 C +ATOM 4064 CD1 PHE A 264 -13.803 -29.966 18.712 1.00 0.00 C +ATOM 4065 CD2 PHE A 264 -14.124 -30.506 21.011 1.00 0.00 C +ATOM 4066 CE1 PHE A 264 -12.831 -30.946 18.614 1.00 0.00 C +ATOM 4067 CE2 PHE A 264 -13.156 -31.488 20.919 1.00 0.00 C +ATOM 4068 CZ PHE A 264 -12.509 -31.708 19.719 1.00 0.00 C +ATOM 4069 H PHE A 264 -14.005 -27.128 21.854 1.00 0.00 H +ATOM 4070 HA PHE A 264 -14.632 -27.034 18.936 1.00 0.00 H +ATOM 4071 HB2 PHE A 264 -16.043 -28.805 20.971 1.00 0.00 H +ATOM 4072 HB3 PHE A 264 -16.218 -28.801 19.184 1.00 0.00 H +ATOM 4073 HD1 PHE A 264 -14.055 -29.375 17.844 1.00 0.00 H +ATOM 4074 HD2 PHE A 264 -14.627 -30.339 21.952 1.00 0.00 H +ATOM 4075 HE1 PHE A 264 -12.325 -31.114 17.675 1.00 0.00 H +ATOM 4076 HE2 PHE A 264 -12.906 -32.083 21.785 1.00 0.00 H +ATOM 4077 HZ PHE A 264 -11.752 -32.475 19.645 1.00 0.00 H +ATOM 4078 N PRO A 265 -16.908 -25.875 19.372 1.00 0.00 N +ATOM 4079 CA PRO A 265 -17.991 -24.939 19.687 1.00 0.00 C +ATOM 4080 C PRO A 265 -18.949 -25.530 20.708 1.00 0.00 C +ATOM 4081 O PRO A 265 -19.103 -26.748 20.814 1.00 0.00 O +ATOM 4082 CB PRO A 265 -18.680 -24.720 18.335 1.00 0.00 C +ATOM 4083 CG PRO A 265 -17.646 -25.085 17.321 1.00 0.00 C +ATOM 4084 CD PRO A 265 -16.869 -26.205 17.936 1.00 0.00 C +ATOM 4085 HA PRO A 265 -17.587 -23.986 20.058 1.00 0.00 H +ATOM 4086 HB2 PRO A 265 -19.563 -25.369 18.240 1.00 0.00 H +ATOM 4087 HB3 PRO A 265 -18.983 -23.669 18.219 1.00 0.00 H +ATOM 4088 HG2 PRO A 265 -18.123 -25.414 16.386 1.00 0.00 H +ATOM 4089 HG3 PRO A 265 -16.989 -24.227 17.115 1.00 0.00 H +ATOM 4090 HD2 PRO A 265 -17.348 -27.175 17.739 1.00 0.00 H +ATOM 4091 HD3 PRO A 265 -15.835 -26.223 17.561 1.00 0.00 H +ATOM 4092 N ASP A 266 -19.594 -24.643 21.469 1.00 0.00 N +ATOM 4093 CA ASP A 266 -20.538 -25.091 22.487 1.00 0.00 C +ATOM 4094 C ASP A 266 -21.666 -25.922 21.888 1.00 0.00 C +ATOM 4095 O ASP A 266 -22.222 -26.796 22.567 1.00 0.00 O +ATOM 4096 CB ASP A 266 -21.106 -23.887 23.235 1.00 0.00 C +ATOM 4097 CG ASP A 266 -20.081 -23.220 24.123 1.00 0.00 C +ATOM 4098 OD1 ASP A 266 -18.900 -23.147 23.720 1.00 0.00 O +ATOM 4099 OD2 ASP A 266 -20.458 -22.760 25.223 1.00 0.00 O1- +ATOM 4100 H ASP A 266 -19.429 -23.665 21.340 1.00 0.00 H +ATOM 4101 HA ASP A 266 -20.003 -25.719 23.214 1.00 0.00 H +ATOM 4102 HB2 ASP A 266 -21.466 -23.153 22.499 1.00 0.00 H +ATOM 4103 HB3 ASP A 266 -21.947 -24.224 23.859 1.00 0.00 H +ATOM 4104 N GLY A 267 -22.013 -25.668 20.623 1.00 0.00 N +ATOM 4105 CA GLY A 267 -23.085 -26.414 19.986 1.00 0.00 C +ATOM 4106 C GLY A 267 -22.739 -27.867 19.731 1.00 0.00 C +ATOM 4107 O GLY A 267 -23.633 -28.709 19.607 1.00 0.00 O +ATOM 4108 H GLY A 267 -21.531 -24.958 20.110 1.00 0.00 H +ATOM 4109 HA2 GLY A 267 -23.971 -26.376 20.637 1.00 0.00 H +ATOM 4110 HA3 GLY A 267 -23.317 -25.937 19.022 1.00 0.00 H +ATOM 4111 N PHE A 268 -21.446 -28.183 19.645 1.00 0.00 N +ATOM 4112 CA PHE A 268 -21.031 -29.576 19.529 1.00 0.00 C +ATOM 4113 C PHE A 268 -21.443 -30.365 20.764 1.00 0.00 C +ATOM 4114 O PHE A 268 -21.997 -31.465 20.661 1.00 0.00 O +ATOM 4115 CB PHE A 268 -19.519 -29.647 19.313 1.00 0.00 C +ATOM 4116 CG PHE A 268 -18.955 -31.035 19.408 1.00 0.00 C +ATOM 4117 CD1 PHE A 268 -19.159 -31.953 18.389 1.00 0.00 C +ATOM 4118 CD2 PHE A 268 -18.218 -31.423 20.514 1.00 0.00 C +ATOM 4119 CE1 PHE A 268 -18.639 -33.231 18.473 1.00 0.00 C +ATOM 4120 CE2 PHE A 268 -17.699 -32.701 20.605 1.00 0.00 C +ATOM 4121 CZ PHE A 268 -17.909 -33.605 19.584 1.00 0.00 C +ATOM 4122 H PHE A 268 -20.756 -27.459 19.660 1.00 0.00 H +ATOM 4123 HA PHE A 268 -21.523 -30.025 18.654 1.00 0.00 H +ATOM 4124 HB2 PHE A 268 -19.293 -29.249 18.313 1.00 0.00 H +ATOM 4125 HB3 PHE A 268 -19.031 -29.022 20.075 1.00 0.00 H +ATOM 4126 HD1 PHE A 268 -19.731 -31.666 17.519 1.00 0.00 H +ATOM 4127 HD2 PHE A 268 -18.047 -30.719 21.315 1.00 0.00 H +ATOM 4128 HE1 PHE A 268 -18.803 -33.936 17.671 1.00 0.00 H +ATOM 4129 HE2 PHE A 268 -17.129 -32.992 21.475 1.00 0.00 H +ATOM 4130 HZ PHE A 268 -17.503 -34.603 19.654 1.00 0.00 H +ATOM 4131 N TRP A 269 -21.194 -29.802 21.946 1.00 0.00 N +ATOM 4132 CA TRP A 269 -21.506 -30.500 23.185 1.00 0.00 C +ATOM 4133 C TRP A 269 -23.004 -30.601 23.439 1.00 0.00 C +ATOM 4134 O TRP A 269 -23.425 -31.423 24.259 1.00 0.00 O +ATOM 4135 CB TRP A 269 -20.812 -29.808 24.355 1.00 0.00 C +ATOM 4136 CG TRP A 269 -19.319 -29.798 24.218 1.00 0.00 C +ATOM 4137 CD1 TRP A 269 -18.527 -28.724 23.940 1.00 0.00 C +ATOM 4138 CD2 TRP A 269 -18.442 -30.923 24.342 1.00 0.00 C +ATOM 4139 NE1 TRP A 269 -17.207 -29.107 23.893 1.00 0.00 N +ATOM 4140 CE2 TRP A 269 -17.128 -30.453 24.136 1.00 0.00 C +ATOM 4141 CE3 TRP A 269 -18.638 -32.279 24.613 1.00 0.00 C +ATOM 4142 CZ2 TRP A 269 -16.019 -31.293 24.190 1.00 0.00 C +ATOM 4143 CZ3 TRP A 269 -17.537 -33.112 24.666 1.00 0.00 C +ATOM 4144 CH2 TRP A 269 -16.244 -32.616 24.456 1.00 0.00 C +ATOM 4145 H TRP A 269 -20.788 -28.889 21.982 1.00 0.00 H +ATOM 4146 HA TRP A 269 -21.108 -31.524 23.119 1.00 0.00 H +ATOM 4147 HB2 TRP A 269 -21.167 -28.768 24.410 1.00 0.00 H +ATOM 4148 HB3 TRP A 269 -21.077 -30.336 25.283 1.00 0.00 H +ATOM 4149 HD1 TRP A 269 -18.885 -27.718 23.780 1.00 0.00 H +ATOM 4150 HE1 TRP A 269 -16.432 -28.502 23.711 1.00 0.00 H +ATOM 4151 HE3 TRP A 269 -19.632 -32.669 24.778 1.00 0.00 H +ATOM 4152 HZ2 TRP A 269 -15.020 -30.915 24.028 1.00 0.00 H +ATOM 4153 HZ3 TRP A 269 -17.676 -34.163 24.873 1.00 0.00 H +ATOM 4154 HH2 TRP A 269 -15.405 -33.294 24.505 1.00 0.00 H +ATOM 4155 N LEU A 270 -23.816 -29.791 22.765 1.00 0.00 N +ATOM 4156 CA LEU A 270 -25.266 -29.913 22.849 1.00 0.00 C +ATOM 4157 C LEU A 270 -25.836 -30.853 21.793 1.00 0.00 C +ATOM 4158 O LEU A 270 -27.053 -31.072 21.765 1.00 0.00 O +ATOM 4159 CB LEU A 270 -25.925 -28.534 22.719 1.00 0.00 C +ATOM 4160 CG LEU A 270 -25.517 -27.469 23.738 1.00 0.00 C +ATOM 4161 CD1 LEU A 270 -26.125 -26.130 23.355 1.00 0.00 C +ATOM 4162 CD2 LEU A 270 -25.939 -27.868 25.145 1.00 0.00 C +ATOM 4163 H LEU A 270 -23.421 -29.079 22.185 1.00 0.00 H +ATOM 4164 HA LEU A 270 -25.529 -30.318 23.837 1.00 0.00 H +ATOM 4165 HB2 LEU A 270 -25.685 -28.145 21.719 1.00 0.00 H +ATOM 4166 HB3 LEU A 270 -27.012 -28.677 22.806 1.00 0.00 H +ATOM 4167 HG LEU A 270 -24.421 -27.372 23.718 1.00 0.00 H +ATOM 4168 HD11 LEU A 270 -25.828 -25.368 24.091 1.00 0.00 H +ATOM 4169 HD12 LEU A 270 -25.765 -25.836 22.358 1.00 0.00 H +ATOM 4170 HD13 LEU A 270 -27.222 -26.217 23.339 1.00 0.00 H +ATOM 4171 HD21 LEU A 270 -25.634 -27.086 25.856 1.00 0.00 H +ATOM 4172 HD22 LEU A 270 -27.032 -27.988 25.180 1.00 0.00 H +ATOM 4173 HD23 LEU A 270 -25.457 -28.819 25.417 1.00 0.00 H +ATOM 4174 N GLY A 271 -24.989 -31.414 20.931 1.00 0.00 N +ATOM 4175 CA GLY A 271 -25.454 -32.293 19.878 1.00 0.00 C +ATOM 4176 C GLY A 271 -26.040 -31.588 18.677 1.00 0.00 C +ATOM 4177 O GLY A 271 -26.759 -32.216 17.892 1.00 0.00 O +ATOM 4178 H GLY A 271 -24.011 -31.224 21.013 1.00 0.00 H +ATOM 4179 HA2 GLY A 271 -24.602 -32.899 19.537 1.00 0.00 H +ATOM 4180 HA3 GLY A 271 -26.228 -32.952 20.299 1.00 0.00 H +ATOM 4181 N GLU A 272 -25.747 -30.301 18.499 1.00 0.00 N +ATOM 4182 CA GLU A 272 -26.354 -29.513 17.435 1.00 0.00 C +ATOM 4183 C GLU A 272 -25.416 -29.237 16.267 1.00 0.00 C +ATOM 4184 O GLU A 272 -25.880 -28.757 15.229 1.00 0.00 O +ATOM 4185 CB GLU A 272 -26.872 -28.180 17.995 1.00 0.00 C +ATOM 4186 CG GLU A 272 -27.908 -28.333 19.102 1.00 0.00 C +ATOM 4187 CD GLU A 272 -28.350 -27.001 19.684 1.00 0.00 C +ATOM 4188 OE1 GLU A 272 -27.487 -26.124 19.899 1.00 0.00 O +ATOM 4189 OE2 GLU A 272 -29.564 -26.829 19.922 1.00 0.00 O1- +ATOM 4190 H GLU A 272 -25.091 -29.863 19.114 1.00 0.00 H +ATOM 4191 HA GLU A 272 -27.221 -30.066 17.043 1.00 0.00 H +ATOM 4192 HB2 GLU A 272 -26.016 -27.618 18.397 1.00 0.00 H +ATOM 4193 HB3 GLU A 272 -27.328 -27.612 17.170 1.00 0.00 H +ATOM 4194 HG2 GLU A 272 -28.789 -28.846 18.690 1.00 0.00 H +ATOM 4195 HG3 GLU A 272 -27.473 -28.942 19.908 1.00 0.00 H +ATOM 4196 N GLN A 273 -24.123 -29.531 16.399 1.00 0.00 N +ATOM 4197 CA GLN A 273 -23.164 -29.235 15.344 1.00 0.00 C +ATOM 4198 C GLN A 273 -22.158 -30.372 15.231 1.00 0.00 C +ATOM 4199 O GLN A 273 -21.862 -31.058 16.212 1.00 0.00 O +ATOM 4200 CB GLN A 273 -22.449 -27.899 15.606 1.00 0.00 C +ATOM 4201 CG GLN A 273 -21.667 -27.358 14.420 1.00 0.00 C +ATOM 4202 CD GLN A 273 -20.957 -26.058 14.735 1.00 0.00 C +ATOM 4203 OE1 GLN A 273 -19.791 -25.879 14.387 1.00 0.00 O +ATOM 4204 NE2 GLN A 273 -21.661 -25.139 15.387 1.00 0.00 N +ATOM 4205 H GLN A 273 -23.804 -29.965 17.242 1.00 0.00 H +ATOM 4206 HA GLN A 273 -23.698 -29.153 14.386 1.00 0.00 H +ATOM 4207 HB2 GLN A 273 -23.207 -27.153 15.886 1.00 0.00 H +ATOM 4208 HB3 GLN A 273 -21.749 -28.042 16.442 1.00 0.00 H +ATOM 4209 HG2 GLN A 273 -20.917 -28.106 14.122 1.00 0.00 H +ATOM 4210 HG3 GLN A 273 -22.365 -27.186 13.587 1.00 0.00 H +ATOM 4211 HE21 GLN A 273 -21.245 -24.258 15.614 1.00 0.00 H +ATOM 4212 HE22 GLN A 273 -22.607 -25.328 15.651 1.00 0.00 H +ATOM 4213 N LEU A 274 -21.643 -30.572 14.020 1.00 0.00 N +ATOM 4214 CA LEU A 274 -20.680 -31.630 13.748 1.00 0.00 C +ATOM 4215 C LEU A 274 -19.257 -31.089 13.799 1.00 0.00 C +ATOM 4216 O LEU A 274 -18.986 -29.977 13.338 1.00 0.00 O +ATOM 4217 CB LEU A 274 -20.933 -32.260 12.377 1.00 0.00 C +ATOM 4218 CG LEU A 274 -22.300 -32.867 12.060 1.00 0.00 C +ATOM 4219 CD1 LEU A 274 -22.293 -33.441 10.653 1.00 0.00 C +ATOM 4220 CD2 LEU A 274 -22.667 -33.936 13.073 1.00 0.00 C +ATOM 4221 H LEU A 274 -21.927 -29.975 13.270 1.00 0.00 H +ATOM 4222 HA LEU A 274 -20.779 -32.415 14.512 1.00 0.00 H +ATOM 4223 HB2 LEU A 274 -20.751 -31.476 11.628 1.00 0.00 H +ATOM 4224 HB3 LEU A 274 -20.192 -33.063 12.254 1.00 0.00 H +ATOM 4225 HG LEU A 274 -23.054 -32.067 12.107 1.00 0.00 H +ATOM 4226 HD11 LEU A 274 -23.278 -33.876 10.429 1.00 0.00 H +ATOM 4227 HD12 LEU A 274 -22.074 -32.640 9.932 1.00 0.00 H +ATOM 4228 HD13 LEU A 274 -21.522 -34.222 10.580 1.00 0.00 H +ATOM 4229 HD21 LEU A 274 -23.653 -34.356 12.823 1.00 0.00 H +ATOM 4230 HD22 LEU A 274 -21.912 -34.736 13.052 1.00 0.00 H +ATOM 4231 HD23 LEU A 274 -22.702 -33.491 14.078 1.00 0.00 H +ATOM 4232 N VAL A 275 -18.350 -31.886 14.364 1.00 0.00 N +ATOM 4233 CA VAL A 275 -16.917 -31.613 14.328 1.00 0.00 C +ATOM 4234 C VAL A 275 -16.273 -32.594 13.361 1.00 0.00 C +ATOM 4235 O VAL A 275 -16.620 -33.782 13.340 1.00 0.00 O +ATOM 4236 CB VAL A 275 -16.291 -31.710 15.733 1.00 0.00 C +ATOM 4237 CG1 VAL A 275 -14.776 -31.807 15.643 1.00 0.00 C +ATOM 4238 CG2 VAL A 275 -16.684 -30.501 16.564 1.00 0.00 C +ATOM 4239 H VAL A 275 -18.667 -32.710 14.835 1.00 0.00 H +ATOM 4240 HA VAL A 275 -16.752 -30.594 13.949 1.00 0.00 H +ATOM 4241 HB VAL A 275 -16.675 -32.617 16.224 1.00 0.00 H +ATOM 4242 HG11 VAL A 275 -14.352 -31.875 16.656 1.00 0.00 H +ATOM 4243 HG12 VAL A 275 -14.500 -32.703 15.069 1.00 0.00 H +ATOM 4244 HG13 VAL A 275 -14.381 -30.913 15.139 1.00 0.00 H +ATOM 4245 HG21 VAL A 275 -16.232 -30.580 17.564 1.00 0.00 H +ATOM 4246 HG22 VAL A 275 -16.325 -29.585 16.071 1.00 0.00 H +ATOM 4247 HG23 VAL A 275 -17.779 -30.462 16.659 1.00 0.00 H +ATOM 4248 N CYS A 276 -15.341 -32.100 12.546 1.00 0.00 N +ATOM 4249 CA CYS A 276 -14.764 -32.883 11.465 1.00 0.00 C +ATOM 4250 C CYS A 276 -13.246 -32.899 11.559 1.00 0.00 C +ATOM 4251 O CYS A 276 -12.630 -32.007 12.147 1.00 0.00 O +ATOM 4252 CB CYS A 276 -15.166 -32.332 10.091 1.00 0.00 C +ATOM 4253 SG CYS A 276 -16.943 -32.170 9.812 1.00 0.00 S +ATOM 4254 H CYS A 276 -15.028 -31.160 12.682 1.00 0.00 H +ATOM 4255 HA CYS A 276 -15.125 -33.919 11.537 1.00 0.00 H +ATOM 4256 HB2 CYS A 276 -14.712 -31.336 9.979 1.00 0.00 H +ATOM 4257 HB3 CYS A 276 -14.762 -33.008 9.323 1.00 0.00 H +ATOM 4258 N TRP A 277 -12.653 -33.929 10.960 1.00 0.00 N +ATOM 4259 CA TRP A 277 -11.213 -34.023 10.787 1.00 0.00 C +ATOM 4260 C TRP A 277 -10.926 -34.597 9.408 1.00 0.00 C +ATOM 4261 O TRP A 277 -11.799 -35.184 8.764 1.00 0.00 O +ATOM 4262 CB TRP A 277 -10.554 -34.900 11.863 1.00 0.00 C +ATOM 4263 CG TRP A 277 -10.569 -34.314 13.238 1.00 0.00 C +ATOM 4264 CD1 TRP A 277 -9.679 -33.420 13.758 1.00 0.00 C +ATOM 4265 CD2 TRP A 277 -11.512 -34.594 14.278 1.00 0.00 C +ATOM 4266 NE1 TRP A 277 -10.015 -33.119 15.056 1.00 0.00 N +ATOM 4267 CE2 TRP A 277 -11.138 -33.826 15.399 1.00 0.00 C +ATOM 4268 CE3 TRP A 277 -12.641 -35.415 14.369 1.00 0.00 C +ATOM 4269 CZ2 TRP A 277 -11.849 -33.858 16.597 1.00 0.00 C +ATOM 4270 CZ3 TRP A 277 -13.348 -35.445 15.558 1.00 0.00 C +ATOM 4271 CH2 TRP A 277 -12.949 -34.672 16.656 1.00 0.00 C +ATOM 4272 H TRP A 277 -13.225 -34.673 10.613 1.00 0.00 H +ATOM 4273 HA TRP A 277 -10.772 -33.017 10.844 1.00 0.00 H +ATOM 4274 HB2 TRP A 277 -11.086 -35.862 11.894 1.00 0.00 H +ATOM 4275 HB3 TRP A 277 -9.506 -35.069 11.573 1.00 0.00 H +ATOM 4276 HD1 TRP A 277 -8.833 -33.009 13.227 1.00 0.00 H +ATOM 4277 HE1 TRP A 277 -9.521 -32.487 15.653 1.00 0.00 H +ATOM 4278 HE3 TRP A 277 -12.955 -36.014 13.527 1.00 0.00 H +ATOM 4279 HZ2 TRP A 277 -11.545 -33.264 17.446 1.00 0.00 H +ATOM 4280 HZ3 TRP A 277 -14.222 -36.075 15.641 1.00 0.00 H +ATOM 4281 HH2 TRP A 277 -13.522 -34.719 17.570 1.00 0.00 H +ATOM 4282 N GLN A 278 -9.688 -34.408 8.958 1.00 0.00 N +ATOM 4283 CA GLN A 278 -9.247 -35.018 7.713 1.00 0.00 C +ATOM 4284 C GLN A 278 -9.405 -36.529 7.806 1.00 0.00 C +ATOM 4285 O GLN A 278 -9.101 -37.132 8.840 1.00 0.00 O +ATOM 4286 CB GLN A 278 -7.791 -34.641 7.429 1.00 0.00 C +ATOM 4287 CG GLN A 278 -7.308 -34.993 6.030 1.00 0.00 C +ATOM 4288 CD GLN A 278 -5.902 -34.493 5.759 1.00 0.00 C +ATOM 4289 OE1 GLN A 278 -5.106 -34.325 6.682 1.00 0.00 O +ATOM 4290 NE2 GLN A 278 -5.593 -34.243 4.491 1.00 0.00 N +ATOM 4291 H GLN A 278 -9.053 -33.840 9.482 1.00 0.00 H +ATOM 4292 HA GLN A 278 -9.870 -34.651 6.884 1.00 0.00 H +ATOM 4293 HB2 GLN A 278 -7.685 -33.555 7.566 1.00 0.00 H +ATOM 4294 HB3 GLN A 278 -7.153 -35.166 8.155 1.00 0.00 H +ATOM 4295 HG2 GLN A 278 -7.321 -36.087 5.917 1.00 0.00 H +ATOM 4296 HG3 GLN A 278 -7.991 -34.540 5.296 1.00 0.00 H +ATOM 4297 HE21 GLN A 278 -4.682 -33.904 4.256 1.00 0.00 H +ATOM 4298 HE22 GLN A 278 -6.271 -34.394 3.772 1.00 0.00 H +ATOM 4299 N ALA A 279 -9.909 -37.129 6.727 1.00 0.00 N +ATOM 4300 CA ALA A 279 -10.279 -38.540 6.733 1.00 0.00 C +ATOM 4301 C ALA A 279 -9.145 -39.410 7.249 1.00 0.00 C +ATOM 4302 O ALA A 279 -8.016 -39.338 6.758 1.00 0.00 O +ATOM 4303 CB ALA A 279 -10.681 -38.982 5.326 1.00 0.00 C +ATOM 4304 H ALA A 279 -10.037 -36.597 5.890 1.00 0.00 H +ATOM 4305 HA ALA A 279 -11.146 -38.679 7.395 1.00 0.00 H +ATOM 4306 HB1 ALA A 279 -10.958 -40.046 5.341 1.00 0.00 H +ATOM 4307 HB2 ALA A 279 -11.539 -38.384 4.985 1.00 0.00 H +ATOM 4308 HB3 ALA A 279 -9.835 -38.833 4.639 1.00 0.00 H +ATOM 4309 N GLY A 280 -9.454 -40.227 8.257 1.00 0.00 N +ATOM 4310 CA GLY A 280 -8.477 -41.104 8.865 1.00 0.00 C +ATOM 4311 C GLY A 280 -7.678 -40.497 9.997 1.00 0.00 C +ATOM 4312 O GLY A 280 -6.965 -41.233 10.692 1.00 0.00 O +ATOM 4313 H GLY A 280 -10.392 -40.234 8.604 1.00 0.00 H +ATOM 4314 HA2 GLY A 280 -9.008 -41.984 9.258 1.00 0.00 H +ATOM 4315 HA3 GLY A 280 -7.771 -41.421 8.083 1.00 0.00 H +ATOM 4316 N THR A 281 -7.775 -39.186 10.219 1.00 0.00 N +ATOM 4317 CA THR A 281 -6.955 -38.505 11.211 1.00 0.00 C +ATOM 4318 C THR A 281 -7.731 -38.148 12.472 1.00 0.00 C +ATOM 4319 O THR A 281 -7.301 -37.267 13.226 1.00 0.00 O +ATOM 4320 CB THR A 281 -6.330 -37.249 10.604 1.00 0.00 C +ATOM 4321 OG1 THR A 281 -7.334 -36.237 10.461 1.00 0.00 O +ATOM 4322 CG2 THR A 281 -5.749 -37.566 9.239 1.00 0.00 C +ATOM 4323 H THR A 281 -8.433 -38.653 9.687 1.00 0.00 H +ATOM 4324 HA THR A 281 -6.134 -39.176 11.504 1.00 0.00 H +ATOM 4325 HB THR A 281 -5.524 -36.896 11.265 1.00 0.00 H +ATOM 4326 HG1 THR A 281 -8.172 -36.645 10.276 1.00 0.00 H +ATOM 4327 HG21 THR A 281 -5.302 -36.657 8.810 1.00 0.00 H +ATOM 4328 HG22 THR A 281 -4.976 -38.342 9.341 1.00 0.00 H +ATOM 4329 HG23 THR A 281 -6.548 -37.929 8.576 1.00 0.00 H +ATOM 4330 N THR A 282 -8.856 -38.805 12.714 1.00 0.00 N +ATOM 4331 CA THR A 282 -9.646 -38.522 13.903 1.00 0.00 C +ATOM 4332 C THR A 282 -8.825 -38.826 15.152 1.00 0.00 C +ATOM 4333 O THR A 282 -8.344 -39.959 15.306 1.00 0.00 O +ATOM 4334 CB THR A 282 -10.930 -39.343 13.905 1.00 0.00 C +ATOM 4335 OG1 THR A 282 -11.648 -39.105 12.690 1.00 0.00 O +ATOM 4336 CG2 THR A 282 -11.801 -38.949 15.090 1.00 0.00 C +ATOM 4337 H THR A 282 -9.166 -39.505 12.071 1.00 0.00 H +ATOM 4338 HA THR A 282 -9.915 -37.456 13.916 1.00 0.00 H +ATOM 4339 HB THR A 282 -10.672 -40.409 13.991 1.00 0.00 H +ATOM 4340 HG1 THR A 282 -11.739 -38.169 12.554 1.00 0.00 H +ATOM 4341 HG21 THR A 282 -12.724 -39.547 15.082 1.00 0.00 H +ATOM 4342 HG22 THR A 282 -11.253 -39.134 16.025 1.00 0.00 H +ATOM 4343 HG23 THR A 282 -12.055 -37.881 15.019 1.00 0.00 H +ATOM 4344 N PRO A 283 -8.630 -37.858 16.058 1.00 0.00 N +ATOM 4345 CA PRO A 283 -7.725 -38.052 17.210 1.00 0.00 C +ATOM 4346 C PRO A 283 -8.442 -38.678 18.402 1.00 0.00 C +ATOM 4347 O PRO A 283 -8.730 -38.026 19.416 1.00 0.00 O +ATOM 4348 CB PRO A 283 -7.253 -36.623 17.489 1.00 0.00 C +ATOM 4349 CG PRO A 283 -8.461 -35.790 17.163 1.00 0.00 C +ATOM 4350 CD PRO A 283 -9.211 -36.505 16.048 1.00 0.00 C +ATOM 4351 HA PRO A 283 -6.866 -38.676 16.923 1.00 0.00 H +ATOM 4352 HB2 PRO A 283 -6.964 -36.502 18.544 1.00 0.00 H +ATOM 4353 HB3 PRO A 283 -6.404 -36.355 16.843 1.00 0.00 H +ATOM 4354 HG2 PRO A 283 -9.104 -35.695 18.050 1.00 0.00 H +ATOM 4355 HG3 PRO A 283 -8.150 -34.790 16.827 1.00 0.00 H +ATOM 4356 HD2 PRO A 283 -10.290 -36.539 16.258 1.00 0.00 H +ATOM 4357 HD3 PRO A 283 -9.041 -36.011 15.080 1.00 0.00 H +ATOM 4358 N TRP A 284 -8.745 -39.973 18.280 1.00 0.00 N +ATOM 4359 CA TRP A 284 -9.511 -40.661 19.314 1.00 0.00 C +ATOM 4360 C TRP A 284 -8.850 -40.543 20.680 1.00 0.00 C +ATOM 4361 O TRP A 284 -9.536 -40.462 21.705 1.00 0.00 O +ATOM 4362 CB TRP A 284 -9.684 -42.134 18.944 1.00 0.00 C +ATOM 4363 CG TRP A 284 -10.328 -42.377 17.612 1.00 0.00 C +ATOM 4364 CD1 TRP A 284 -9.722 -42.846 16.484 1.00 0.00 C +ATOM 4365 CD2 TRP A 284 -11.704 -42.167 17.270 1.00 0.00 C +ATOM 4366 NE1 TRP A 284 -10.634 -42.941 15.460 1.00 0.00 N +ATOM 4367 CE2 TRP A 284 -11.858 -42.527 15.916 1.00 0.00 C +ATOM 4368 CE3 TRP A 284 -12.820 -41.705 17.976 1.00 0.00 C +ATOM 4369 CZ2 TRP A 284 -13.083 -42.443 15.254 1.00 0.00 C +ATOM 4370 CZ3 TRP A 284 -14.040 -41.621 17.314 1.00 0.00 C +ATOM 4371 CH2 TRP A 284 -14.158 -41.987 15.968 1.00 0.00 C +ATOM 4372 H TRP A 284 -8.443 -40.477 17.471 1.00 0.00 H +ATOM 4373 HA TRP A 284 -10.511 -40.207 19.378 1.00 0.00 H +ATOM 4374 HB2 TRP A 284 -8.689 -42.603 18.934 1.00 0.00 H +ATOM 4375 HB3 TRP A 284 -10.306 -42.610 19.716 1.00 0.00 H +ATOM 4376 HD1 TRP A 284 -8.677 -43.105 16.406 1.00 0.00 H +ATOM 4377 HE1 TRP A 284 -10.436 -43.260 14.533 1.00 0.00 H +ATOM 4378 HE3 TRP A 284 -12.736 -41.419 19.014 1.00 0.00 H +ATOM 4379 HZ2 TRP A 284 -13.180 -42.727 14.217 1.00 0.00 H +ATOM 4380 HZ3 TRP A 284 -14.910 -41.268 17.847 1.00 0.00 H +ATOM 4381 HH2 TRP A 284 -15.119 -41.908 15.482 1.00 0.00 H +ATOM 4382 N ASN A 285 -7.515 -40.509 20.716 1.00 0.00 N +ATOM 4383 CA ASN A 285 -6.822 -40.647 21.992 1.00 0.00 C +ATOM 4384 C ASN A 285 -6.982 -39.414 22.877 1.00 0.00 C +ATOM 4385 O ASN A 285 -6.844 -39.513 24.100 1.00 0.00 O +ATOM 4386 CB ASN A 285 -5.342 -40.943 21.758 1.00 0.00 C +ATOM 4387 CG ASN A 285 -4.597 -39.760 21.180 1.00 0.00 C +ATOM 4388 OD1 ASN A 285 -4.529 -39.590 19.965 1.00 0.00 O +ATOM 4389 ND2 ASN A 285 -4.029 -38.935 22.051 1.00 0.00 N +ATOM 4390 H ASN A 285 -6.993 -40.389 19.872 1.00 0.00 H +ATOM 4391 HA ASN A 285 -7.252 -41.503 22.532 1.00 0.00 H +ATOM 4392 HB2 ASN A 285 -4.881 -41.215 22.719 1.00 0.00 H +ATOM 4393 HB3 ASN A 285 -5.258 -41.788 21.059 1.00 0.00 H +ATOM 4394 HD21 ASN A 285 -3.521 -38.138 21.726 1.00 0.00 H +ATOM 4395 HD22 ASN A 285 -4.109 -39.111 23.032 1.00 0.00 H +ATOM 4396 N ILE A 286 -7.286 -38.249 22.302 1.00 0.00 N +ATOM 4397 CA ILE A 286 -7.441 -37.073 23.150 1.00 0.00 C +ATOM 4398 C ILE A 286 -8.784 -37.069 23.863 1.00 0.00 C +ATOM 4399 O ILE A 286 -8.968 -36.311 24.821 1.00 0.00 O +ATOM 4400 CB ILE A 286 -7.245 -35.780 22.341 1.00 0.00 C +ATOM 4401 CG1 ILE A 286 -8.458 -35.521 21.450 1.00 0.00 C +ATOM 4402 CG2 ILE A 286 -5.977 -35.860 21.512 1.00 0.00 C +ATOM 4403 CD1 ILE A 286 -8.317 -34.282 20.615 1.00 0.00 C +ATOM 4404 H ILE A 286 -7.405 -38.184 21.311 1.00 0.00 H +ATOM 4405 HA ILE A 286 -6.657 -37.098 23.921 1.00 0.00 H +ATOM 4406 HB ILE A 286 -7.148 -34.943 23.048 1.00 0.00 H +ATOM 4407 HG12 ILE A 286 -8.591 -36.383 20.779 1.00 0.00 H +ATOM 4408 HG13 ILE A 286 -9.347 -35.414 22.090 1.00 0.00 H +ATOM 4409 HG21 ILE A 286 -5.852 -34.928 20.941 1.00 0.00 H +ATOM 4410 HG22 ILE A 286 -5.112 -36.000 22.177 1.00 0.00 H +ATOM 4411 HG23 ILE A 286 -6.047 -36.710 20.817 1.00 0.00 H +ATOM 4412 HD11 ILE A 286 -9.218 -34.151 19.998 1.00 0.00 H +ATOM 4413 HD12 ILE A 286 -8.192 -33.409 21.273 1.00 0.00 H +ATOM 4414 HD13 ILE A 286 -7.437 -34.378 19.962 1.00 0.00 H +ATOM 4415 N PHE A 287 -9.726 -37.907 23.432 1.00 0.00 N +ATOM 4416 CA PHE A 287 -11.023 -38.015 24.086 1.00 0.00 C +ATOM 4417 C PHE A 287 -10.989 -39.097 25.164 1.00 0.00 C +ATOM 4418 O PHE A 287 -10.338 -40.131 24.986 1.00 0.00 O +ATOM 4419 CB PHE A 287 -12.117 -38.341 23.070 1.00 0.00 C +ATOM 4420 CG PHE A 287 -12.460 -37.197 22.156 1.00 0.00 C +ATOM 4421 CD1 PHE A 287 -13.380 -36.235 22.543 1.00 0.00 C +ATOM 4422 CD2 PHE A 287 -11.871 -37.089 20.906 1.00 0.00 C +ATOM 4423 CE1 PHE A 287 -13.702 -35.183 21.703 1.00 0.00 C +ATOM 4424 CE2 PHE A 287 -12.189 -36.037 20.061 1.00 0.00 C +ATOM 4425 CZ PHE A 287 -13.105 -35.084 20.461 1.00 0.00 C +ATOM 4426 H PHE A 287 -9.537 -38.480 22.635 1.00 0.00 H +ATOM 4427 HA PHE A 287 -11.270 -37.056 24.565 1.00 0.00 H +ATOM 4428 HB2 PHE A 287 -11.777 -39.187 22.454 1.00 0.00 H +ATOM 4429 HB3 PHE A 287 -13.025 -38.630 23.619 1.00 0.00 H +ATOM 4430 HD1 PHE A 287 -13.851 -36.307 23.512 1.00 0.00 H +ATOM 4431 HD2 PHE A 287 -11.156 -37.833 20.587 1.00 0.00 H +ATOM 4432 HE1 PHE A 287 -14.420 -34.440 22.018 1.00 0.00 H +ATOM 4433 HE2 PHE A 287 -11.721 -35.963 19.091 1.00 0.00 H +ATOM 4434 HZ PHE A 287 -13.354 -34.263 19.805 1.00 0.00 H +ATOM 4435 N PRO A 288 -11.691 -38.885 26.271 1.00 0.00 N +ATOM 4436 CA PRO A 288 -11.640 -39.841 27.378 1.00 0.00 C +ATOM 4437 C PRO A 288 -12.572 -41.026 27.179 1.00 0.00 C +ATOM 4438 O PRO A 288 -13.496 -41.010 26.363 1.00 0.00 O +ATOM 4439 CB PRO A 288 -12.083 -38.998 28.576 1.00 0.00 C +ATOM 4440 CG PRO A 288 -13.026 -38.013 27.985 1.00 0.00 C +ATOM 4441 CD PRO A 288 -12.469 -37.682 26.619 1.00 0.00 C +ATOM 4442 HA PRO A 288 -10.611 -40.197 27.535 1.00 0.00 H +ATOM 4443 HB2 PRO A 288 -12.588 -39.621 29.329 1.00 0.00 H +ATOM 4444 HB3 PRO A 288 -11.223 -38.490 29.037 1.00 0.00 H +ATOM 4445 HG2 PRO A 288 -14.031 -38.451 27.894 1.00 0.00 H +ATOM 4446 HG3 PRO A 288 -13.076 -37.108 28.608 1.00 0.00 H +ATOM 4447 HD2 PRO A 288 -11.823 -36.793 26.662 1.00 0.00 H +ATOM 4448 HD3 PRO A 288 -13.278 -37.512 25.894 1.00 0.00 H +ATOM 4449 N VAL A 289 -12.298 -42.074 27.955 1.00 0.00 N +ATOM 4450 CA VAL A 289 -13.236 -43.177 28.083 1.00 0.00 C +ATOM 4451 C VAL A 289 -14.272 -42.838 29.148 1.00 0.00 C +ATOM 4452 O VAL A 289 -14.076 -41.962 29.995 1.00 0.00 O +ATOM 4453 CB VAL A 289 -12.513 -44.492 28.414 1.00 0.00 C +ATOM 4454 CG1 VAL A 289 -11.506 -44.828 27.337 1.00 0.00 C +ATOM 4455 CG2 VAL A 289 -11.841 -44.395 29.773 1.00 0.00 C +ATOM 4456 H VAL A 289 -11.434 -42.102 28.457 1.00 0.00 H +ATOM 4457 HA VAL A 289 -13.762 -43.312 27.126 1.00 0.00 H +ATOM 4458 HB VAL A 289 -13.263 -45.296 28.454 1.00 0.00 H +ATOM 4459 HG11 VAL A 289 -10.999 -45.771 27.590 1.00 0.00 H +ATOM 4460 HG12 VAL A 289 -12.024 -44.938 26.373 1.00 0.00 H +ATOM 4461 HG13 VAL A 289 -10.763 -44.020 27.265 1.00 0.00 H +ATOM 4462 HG21 VAL A 289 -11.328 -45.342 29.997 1.00 0.00 H +ATOM 4463 HG22 VAL A 289 -11.108 -43.575 29.762 1.00 0.00 H +ATOM 4464 HG23 VAL A 289 -12.600 -44.198 30.544 1.00 0.00 H +ATOM 4465 N ILE A 290 -15.394 -43.546 29.104 1.00 0.00 N +ATOM 4466 CA ILE A 290 -16.496 -43.326 30.030 1.00 0.00 C +ATOM 4467 C ILE A 290 -16.839 -44.657 30.674 1.00 0.00 C +ATOM 4468 O ILE A 290 -17.088 -45.648 29.975 1.00 0.00 O +ATOM 4469 CB ILE A 290 -17.722 -42.721 29.333 1.00 0.00 C +ATOM 4470 CG1 ILE A 290 -17.356 -41.377 28.722 1.00 0.00 C +ATOM 4471 CG2 ILE A 290 -18.865 -42.560 30.318 1.00 0.00 C +ATOM 4472 CD1 ILE A 290 -18.485 -40.719 28.036 1.00 0.00 C +ATOM 4473 H ILE A 290 -15.486 -44.258 28.408 1.00 0.00 H +ATOM 4474 HA ILE A 290 -16.172 -42.632 30.819 1.00 0.00 H +ATOM 4475 HB ILE A 290 -18.040 -43.401 28.529 1.00 0.00 H +ATOM 4476 HG12 ILE A 290 -17.001 -40.714 29.525 1.00 0.00 H +ATOM 4477 HG13 ILE A 290 -16.548 -41.534 27.992 1.00 0.00 H +ATOM 4478 HG21 ILE A 290 -19.735 -42.126 29.803 1.00 0.00 H +ATOM 4479 HG22 ILE A 290 -19.136 -43.544 30.729 1.00 0.00 H +ATOM 4480 HG23 ILE A 290 -18.553 -41.894 31.136 1.00 0.00 H +ATOM 4481 HD11 ILE A 290 -18.151 -39.757 27.620 1.00 0.00 H +ATOM 4482 HD12 ILE A 290 -18.846 -41.365 27.222 1.00 0.00 H +ATOM 4483 HD13 ILE A 290 -19.299 -40.545 28.755 1.00 0.00 H +ATOM 4484 N SER A 291 -16.863 -44.678 31.999 1.00 0.00 N +ATOM 4485 CA SER A 291 -17.105 -45.892 32.761 1.00 0.00 C +ATOM 4486 C SER A 291 -18.362 -45.730 33.601 1.00 0.00 C +ATOM 4487 O SER A 291 -18.522 -44.726 34.302 1.00 0.00 O +ATOM 4488 CB SER A 291 -15.905 -46.223 33.654 1.00 0.00 C +ATOM 4489 OG SER A 291 -14.761 -46.503 32.872 1.00 0.00 O +ATOM 4490 H SER A 291 -16.708 -43.824 32.495 1.00 0.00 H +ATOM 4491 HA SER A 291 -17.258 -46.731 32.067 1.00 0.00 H +ATOM 4492 HB2 SER A 291 -15.694 -45.364 34.308 1.00 0.00 H +ATOM 4493 HB3 SER A 291 -16.145 -47.102 34.270 1.00 0.00 H +ATOM 4494 HG SER A 291 -13.980 -46.248 33.349 1.00 0.00 H +ATOM 4495 N LEU A 292 -19.255 -46.710 33.507 1.00 0.00 N +ATOM 4496 CA LEU A 292 -20.383 -46.854 34.414 1.00 0.00 C +ATOM 4497 C LEU A 292 -20.166 -48.109 35.246 1.00 0.00 C +ATOM 4498 O LEU A 292 -19.916 -49.186 34.692 1.00 0.00 O +ATOM 4499 CB LEU A 292 -21.711 -46.957 33.656 1.00 0.00 C +ATOM 4500 CG LEU A 292 -22.094 -45.914 32.604 1.00 0.00 C +ATOM 4501 CD1 LEU A 292 -23.488 -46.208 32.057 1.00 0.00 C +ATOM 4502 CD2 LEU A 292 -22.024 -44.505 33.171 1.00 0.00 C +ATOM 4503 H LEU A 292 -19.146 -47.383 32.775 1.00 0.00 H +ATOM 4504 HA LEU A 292 -20.429 -45.986 35.088 1.00 0.00 H +ATOM 4505 HB2 LEU A 292 -21.706 -47.931 33.145 1.00 0.00 H +ATOM 4506 HB3 LEU A 292 -22.507 -46.945 34.415 1.00 0.00 H +ATOM 4507 HG LEU A 292 -21.377 -45.987 31.773 1.00 0.00 H +ATOM 4508 HD11 LEU A 292 -23.753 -45.453 31.302 1.00 0.00 H +ATOM 4509 HD12 LEU A 292 -23.498 -47.207 31.596 1.00 0.00 H +ATOM 4510 HD13 LEU A 292 -24.218 -46.177 32.879 1.00 0.00 H +ATOM 4511 HD21 LEU A 292 -22.304 -43.781 32.392 1.00 0.00 H +ATOM 4512 HD22 LEU A 292 -22.718 -44.417 34.020 1.00 0.00 H +ATOM 4513 HD23 LEU A 292 -20.999 -44.298 33.512 1.00 0.00 H +ATOM 4514 N TYR A 293 -20.245 -47.967 36.565 1.00 0.00 N +ATOM 4515 CA TYR A 293 -20.219 -49.102 37.478 1.00 0.00 C +ATOM 4516 C TYR A 293 -21.652 -49.555 37.731 1.00 0.00 C +ATOM 4517 O TYR A 293 -22.504 -48.744 38.110 1.00 0.00 O +ATOM 4518 CB TYR A 293 -19.546 -48.742 38.804 1.00 0.00 C +ATOM 4519 CG TYR A 293 -18.039 -48.573 38.745 1.00 0.00 C +ATOM 4520 CD1 TYR A 293 -17.466 -47.484 38.106 1.00 0.00 C +ATOM 4521 CD2 TYR A 293 -17.191 -49.490 39.356 1.00 0.00 C +ATOM 4522 CE1 TYR A 293 -16.088 -47.318 38.059 1.00 0.00 C +ATOM 4523 CE2 TYR A 293 -15.808 -49.334 39.317 1.00 0.00 C +ATOM 4524 CZ TYR A 293 -15.264 -48.245 38.666 1.00 0.00 C +ATOM 4525 OH TYR A 293 -13.898 -48.072 38.616 1.00 0.00 O +ATOM 4526 H TYR A 293 -20.325 -47.046 36.945 1.00 0.00 H +ATOM 4527 HA TYR A 293 -19.664 -49.932 37.017 1.00 0.00 H +ATOM 4528 HB2 TYR A 293 -19.980 -47.796 39.159 1.00 0.00 H +ATOM 4529 HB3 TYR A 293 -19.770 -49.541 39.526 1.00 0.00 H +ATOM 4530 HD1 TYR A 293 -18.104 -46.750 37.636 1.00 0.00 H +ATOM 4531 HD2 TYR A 293 -17.614 -50.340 39.871 1.00 0.00 H +ATOM 4532 HE1 TYR A 293 -15.662 -46.466 37.549 1.00 0.00 H +ATOM 4533 HE2 TYR A 293 -15.165 -50.060 39.793 1.00 0.00 H +ATOM 4534 HH TYR A 293 -13.696 -47.144 38.610 1.00 0.00 H +ATOM 4535 N LEU A 294 -21.916 -50.841 37.526 1.00 0.00 N +ATOM 4536 CA LEU A 294 -23.239 -51.405 37.744 1.00 0.00 C +ATOM 4537 C LEU A 294 -23.231 -52.320 38.961 1.00 0.00 C +ATOM 4538 O LEU A 294 -22.222 -52.962 39.269 1.00 0.00 O +ATOM 4539 CB LEU A 294 -23.719 -52.185 36.516 1.00 0.00 C +ATOM 4540 CG LEU A 294 -23.780 -51.380 35.218 1.00 0.00 C +ATOM 4541 CD1 LEU A 294 -23.997 -52.298 34.030 1.00 0.00 C +ATOM 4542 CD2 LEU A 294 -24.870 -50.321 35.293 1.00 0.00 C +ATOM 4543 H LEU A 294 -21.181 -51.441 37.211 1.00 0.00 H +ATOM 4544 HA LEU A 294 -23.952 -50.589 37.931 1.00 0.00 H +ATOM 4545 HB2 LEU A 294 -23.033 -53.031 36.360 1.00 0.00 H +ATOM 4546 HB3 LEU A 294 -24.729 -52.566 36.728 1.00 0.00 H +ATOM 4547 HG LEU A 294 -22.814 -50.870 35.087 1.00 0.00 H +ATOM 4548 HD11 LEU A 294 -24.038 -51.701 33.107 1.00 0.00 H +ATOM 4549 HD12 LEU A 294 -23.166 -53.016 33.965 1.00 0.00 H +ATOM 4550 HD13 LEU A 294 -24.944 -52.843 34.156 1.00 0.00 H +ATOM 4551 HD21 LEU A 294 -24.897 -49.754 34.351 1.00 0.00 H +ATOM 4552 HD22 LEU A 294 -25.843 -50.807 35.456 1.00 0.00 H +ATOM 4553 HD23 LEU A 294 -24.658 -49.636 36.127 1.00 0.00 H +ATOM 4554 N MET A 295 -24.372 -52.377 39.645 1.00 0.00 N +ATOM 4555 CA MET A 295 -24.508 -53.248 40.806 1.00 0.00 C +ATOM 4556 C MET A 295 -24.302 -54.705 40.404 1.00 0.00 C +ATOM 4557 O MET A 295 -24.785 -55.155 39.362 1.00 0.00 O +ATOM 4558 CB MET A 295 -25.886 -53.061 41.446 1.00 0.00 C +ATOM 4559 CG MET A 295 -26.148 -53.956 42.650 1.00 0.00 C +ATOM 4560 SD MET A 295 -27.869 -53.946 43.193 1.00 0.00 S +ATOM 4561 CE MET A 295 -27.919 -52.484 44.230 1.00 0.00 C +ATOM 4562 H MET A 295 -25.147 -51.814 39.358 1.00 0.00 H +ATOM 4563 HA MET A 295 -23.743 -52.982 41.550 1.00 0.00 H +ATOM 4564 HB2 MET A 295 -25.975 -52.014 41.770 1.00 0.00 H +ATOM 4565 HB3 MET A 295 -26.651 -53.276 40.685 1.00 0.00 H +ATOM 4566 HG2 MET A 295 -25.873 -54.987 42.384 1.00 0.00 H +ATOM 4567 HG3 MET A 295 -25.518 -53.612 43.483 1.00 0.00 H +ATOM 4568 HE1 MET A 295 -28.955 -52.295 44.548 1.00 0.00 H +ATOM 4569 HE2 MET A 295 -27.286 -52.641 45.116 1.00 0.00 H +ATOM 4570 HE3 MET A 295 -27.546 -51.619 43.662 1.00 0.00 H +ATOM 4571 N GLY A 296 -23.553 -55.441 41.228 1.00 0.00 N +ATOM 4572 CA GLY A 296 -23.248 -56.826 40.943 1.00 0.00 C +ATOM 4573 C GLY A 296 -24.296 -57.767 41.507 1.00 0.00 C +ATOM 4574 O GLY A 296 -25.298 -57.356 42.092 1.00 0.00 O +ATOM 4575 H GLY A 296 -23.194 -55.025 42.063 1.00 0.00 H +ATOM 4576 HA2 GLY A 296 -23.199 -56.962 39.853 1.00 0.00 H +ATOM 4577 HA3 GLY A 296 -22.273 -57.074 41.387 1.00 0.00 H +ATOM 4578 N GLU A 297 -24.049 -59.066 41.317 1.00 0.00 N +ATOM 4579 CA GLU A 297 -24.965 -60.071 41.846 1.00 0.00 C +ATOM 4580 C GLU A 297 -24.635 -60.440 43.288 1.00 0.00 C +ATOM 4581 O GLU A 297 -25.520 -60.877 44.032 1.00 0.00 O +ATOM 4582 CB GLU A 297 -24.956 -61.317 40.956 1.00 0.00 C +ATOM 4583 CG GLU A 297 -25.664 -61.122 39.618 1.00 0.00 C +ATOM 4584 CD GLU A 297 -26.433 -62.354 39.169 1.00 0.00 C +ATOM 4585 OE1 GLU A 297 -25.827 -63.237 38.527 1.00 0.00 O +ATOM 4586 OE2 GLU A 297 -27.644 -62.441 39.464 1.00 0.00 O1- +ATOM 4587 H GLU A 297 -23.235 -59.350 40.811 1.00 0.00 H +ATOM 4588 HA GLU A 297 -25.984 -59.658 41.831 1.00 0.00 H +ATOM 4589 HB2 GLU A 297 -23.910 -61.595 40.758 1.00 0.00 H +ATOM 4590 HB3 GLU A 297 -25.456 -62.134 41.497 1.00 0.00 H +ATOM 4591 HG2 GLU A 297 -26.370 -60.284 39.714 1.00 0.00 H +ATOM 4592 HG3 GLU A 297 -24.910 -60.881 38.854 1.00 0.00 H +ATOM 4593 N VAL A 298 -23.393 -60.252 43.700 1.00 0.00 N +ATOM 4594 CA VAL A 298 -22.952 -60.555 45.055 1.00 0.00 C +ATOM 4595 C VAL A 298 -23.043 -59.290 45.893 1.00 0.00 C +ATOM 4596 O VAL A 298 -22.949 -58.168 45.380 1.00 0.00 O +ATOM 4597 CB VAL A 298 -21.522 -61.143 45.029 1.00 0.00 C +ATOM 4598 CG1 VAL A 298 -20.898 -61.188 46.417 1.00 0.00 C +ATOM 4599 CG2 VAL A 298 -21.544 -62.534 44.422 1.00 0.00 C +ATOM 4600 H VAL A 298 -22.726 -59.885 43.052 1.00 0.00 H +ATOM 4601 HA VAL A 298 -23.622 -61.309 45.493 1.00 0.00 H +ATOM 4602 HB VAL A 298 -20.900 -60.497 44.392 1.00 0.00 H +ATOM 4603 HG11 VAL A 298 -19.885 -61.612 46.351 1.00 0.00 H +ATOM 4604 HG12 VAL A 298 -20.843 -60.169 46.827 1.00 0.00 H +ATOM 4605 HG13 VAL A 298 -21.515 -61.816 47.076 1.00 0.00 H +ATOM 4606 HG21 VAL A 298 -20.524 -62.944 44.407 1.00 0.00 H +ATOM 4607 HG22 VAL A 298 -22.193 -63.187 45.025 1.00 0.00 H +ATOM 4608 HG23 VAL A 298 -21.932 -62.479 43.394 1.00 0.00 H +ATOM 4609 N THR A 299 -23.265 -59.472 47.194 1.00 0.00 N +ATOM 4610 CA THR A 299 -23.288 -58.349 48.118 1.00 0.00 C +ATOM 4611 C THR A 299 -21.973 -57.582 48.063 1.00 0.00 C +ATOM 4612 O THR A 299 -20.889 -58.174 48.117 1.00 0.00 O +ATOM 4613 CB THR A 299 -23.544 -58.847 49.538 1.00 0.00 C +ATOM 4614 OG1 THR A 299 -24.572 -59.846 49.521 1.00 0.00 O +ATOM 4615 CG2 THR A 299 -23.981 -57.697 50.427 1.00 0.00 C +ATOM 4616 H THR A 299 -23.419 -60.397 47.541 1.00 0.00 H +ATOM 4617 HA THR A 299 -24.102 -57.664 47.839 1.00 0.00 H +ATOM 4618 HB THR A 299 -22.611 -59.272 49.938 1.00 0.00 H +ATOM 4619 HG1 THR A 299 -25.423 -59.425 49.500 1.00 0.00 H +ATOM 4620 HG21 THR A 299 -24.162 -58.069 51.446 1.00 0.00 H +ATOM 4621 HG22 THR A 299 -23.191 -56.932 50.451 1.00 0.00 H +ATOM 4622 HG23 THR A 299 -24.906 -57.256 50.028 1.00 0.00 H +ATOM 4623 N ASN A 300 -22.077 -56.256 47.946 1.00 0.00 N +ATOM 4624 CA ASN A 300 -20.936 -55.339 47.985 1.00 0.00 C +ATOM 4625 C ASN A 300 -19.976 -55.533 46.817 1.00 0.00 C +ATOM 4626 O ASN A 300 -18.795 -55.188 46.920 1.00 0.00 O +ATOM 4627 CB ASN A 300 -20.172 -55.451 49.312 1.00 0.00 C +ATOM 4628 CG ASN A 300 -21.016 -55.056 50.507 1.00 0.00 C +ATOM 4629 OD1 ASN A 300 -22.014 -54.347 50.375 1.00 0.00 O +ATOM 4630 ND2 ASN A 300 -20.610 -55.508 51.686 1.00 0.00 N +ATOM 4631 H ASN A 300 -22.990 -55.865 47.824 1.00 0.00 H +ATOM 4632 HA ASN A 300 -21.324 -54.312 47.921 1.00 0.00 H +ATOM 4633 HB2 ASN A 300 -19.843 -56.493 49.442 1.00 0.00 H +ATOM 4634 HB3 ASN A 300 -19.293 -54.792 49.269 1.00 0.00 H +ATOM 4635 HD21 ASN A 300 -21.121 -55.275 52.514 1.00 0.00 H +ATOM 4636 HD22 ASN A 300 -19.793 -56.082 51.747 1.00 0.00 H +ATOM 4637 N GLN A 301 -20.450 -56.084 45.707 1.00 0.00 N +ATOM 4638 CA GLN A 301 -19.644 -56.211 44.503 1.00 0.00 C +ATOM 4639 C GLN A 301 -20.287 -55.425 43.373 1.00 0.00 C +ATOM 4640 O GLN A 301 -21.512 -55.444 43.210 1.00 0.00 O +ATOM 4641 CB GLN A 301 -19.474 -57.676 44.081 1.00 0.00 C +ATOM 4642 CG GLN A 301 -18.304 -58.391 44.736 1.00 0.00 C +ATOM 4643 CD GLN A 301 -18.052 -59.756 44.122 1.00 0.00 C +ATOM 4644 OE1 GLN A 301 -18.475 -60.030 42.997 1.00 0.00 O +ATOM 4645 NE2 GLN A 301 -17.362 -60.619 44.858 1.00 0.00 N +ATOM 4646 H GLN A 301 -21.391 -56.423 45.698 1.00 0.00 H +ATOM 4647 HA GLN A 301 -18.645 -55.791 44.691 1.00 0.00 H +ATOM 4648 HB2 GLN A 301 -20.396 -58.217 44.341 1.00 0.00 H +ATOM 4649 HB3 GLN A 301 -19.327 -57.704 42.991 1.00 0.00 H +ATOM 4650 HG2 GLN A 301 -17.400 -57.776 44.616 1.00 0.00 H +ATOM 4651 HG3 GLN A 301 -18.521 -58.519 45.807 1.00 0.00 H +ATOM 4652 HE21 GLN A 301 -17.167 -61.534 44.504 1.00 0.00 H +ATOM 4653 HE22 GLN A 301 -17.038 -60.354 45.766 1.00 0.00 H +ATOM 4654 N SER A 302 -19.453 -54.725 42.606 1.00 0.00 N +ATOM 4655 CA SER A 302 -19.868 -54.093 41.366 1.00 0.00 C +ATOM 4656 C SER A 302 -18.875 -54.457 40.274 1.00 0.00 C +ATOM 4657 O SER A 302 -17.758 -54.909 40.541 1.00 0.00 O +ATOM 4658 CB SER A 302 -19.965 -52.563 41.501 1.00 0.00 C +ATOM 4659 OG SER A 302 -18.718 -52.000 41.875 1.00 0.00 O +ATOM 4660 H SER A 302 -18.501 -54.631 42.896 1.00 0.00 H +ATOM 4661 HA SER A 302 -20.858 -54.475 41.077 1.00 0.00 H +ATOM 4662 HB2 SER A 302 -20.276 -52.137 40.536 1.00 0.00 H +ATOM 4663 HB3 SER A 302 -20.714 -52.318 42.268 1.00 0.00 H +ATOM 4664 HG SER A 302 -18.438 -52.372 42.703 1.00 0.00 H +ATOM 4665 N PHE A 303 -19.308 -54.286 39.034 1.00 0.00 N +ATOM 4666 CA PHE A 303 -18.415 -54.327 37.891 1.00 0.00 C +ATOM 4667 C PHE A 303 -18.582 -53.016 37.140 1.00 0.00 C +ATOM 4668 O PHE A 303 -19.447 -52.202 37.465 1.00 0.00 O +ATOM 4669 CB PHE A 303 -18.692 -55.540 36.991 1.00 0.00 C +ATOM 4670 CG PHE A 303 -20.045 -55.522 36.342 1.00 0.00 C +ATOM 4671 CD1 PHE A 303 -21.165 -55.981 37.018 1.00 0.00 C +ATOM 4672 CD2 PHE A 303 -20.193 -55.060 35.047 1.00 0.00 C +ATOM 4673 CE1 PHE A 303 -22.410 -55.969 36.411 1.00 0.00 C +ATOM 4674 CE2 PHE A 303 -21.433 -55.048 34.435 1.00 0.00 C +ATOM 4675 CZ PHE A 303 -22.540 -55.501 35.118 1.00 0.00 C +ATOM 4676 H PHE A 303 -20.283 -54.123 38.880 1.00 0.00 H +ATOM 4677 HA PHE A 303 -17.376 -54.393 38.245 1.00 0.00 H +ATOM 4678 HB2 PHE A 303 -17.929 -55.565 36.199 1.00 0.00 H +ATOM 4679 HB3 PHE A 303 -18.614 -56.450 37.604 1.00 0.00 H +ATOM 4680 HD1 PHE A 303 -21.066 -56.352 38.028 1.00 0.00 H +ATOM 4681 HD2 PHE A 303 -19.329 -54.704 34.506 1.00 0.00 H +ATOM 4682 HE1 PHE A 303 -23.277 -56.325 36.947 1.00 0.00 H +ATOM 4683 HE2 PHE A 303 -21.533 -54.684 33.423 1.00 0.00 H +ATOM 4684 HZ PHE A 303 -23.510 -55.490 34.643 1.00 0.00 H +ATOM 4685 N ARG A 304 -17.735 -52.792 36.144 1.00 0.00 N +ATOM 4686 CA ARG A 304 -17.786 -51.558 35.378 1.00 0.00 C +ATOM 4687 C ARG A 304 -17.650 -51.862 33.897 1.00 0.00 C +ATOM 4688 O ARG A 304 -16.902 -52.754 33.490 1.00 0.00 O +ATOM 4689 CB ARG A 304 -16.697 -50.561 35.815 1.00 0.00 C +ATOM 4690 CG ARG A 304 -15.402 -50.650 35.031 1.00 0.00 C +ATOM 4691 CD ARG A 304 -14.325 -49.773 35.618 1.00 0.00 C +ATOM 4692 NE ARG A 304 -13.000 -50.173 35.158 1.00 0.00 N +ATOM 4693 CZ ARG A 304 -11.893 -50.024 35.878 1.00 0.00 C +ATOM 4694 NH1 ARG A 304 -11.959 -49.488 37.091 1.00 0.00 N +ATOM 4695 NH2 ARG A 304 -10.726 -50.422 35.392 1.00 0.00 N1+ +ATOM 4696 H ARG A 304 -17.050 -53.484 35.916 1.00 0.00 H +ATOM 4697 HA ARG A 304 -18.763 -51.079 35.539 1.00 0.00 H +ATOM 4698 HB2 ARG A 304 -17.098 -49.543 35.699 1.00 0.00 H +ATOM 4699 HB3 ARG A 304 -16.469 -50.746 36.875 1.00 0.00 H +ATOM 4700 HG2 ARG A 304 -15.054 -51.693 35.038 1.00 0.00 H +ATOM 4701 HG3 ARG A 304 -15.592 -50.334 33.995 1.00 0.00 H +ATOM 4702 HD2 ARG A 304 -14.509 -48.731 35.316 1.00 0.00 H +ATOM 4703 HD3 ARG A 304 -14.361 -49.849 36.715 1.00 0.00 H +ATOM 4704 HE ARG A 304 -12.920 -50.583 34.249 1.00 0.00 H +ATOM 4705 HH11 ARG A 304 -11.128 -49.385 37.638 1.00 0.00 H +ATOM 4706 HH12 ARG A 304 -12.840 -49.188 37.458 1.00 0.00 H +ATOM 4707 HH21 ARG A 304 -9.895 -50.319 35.939 1.00 0.00 H +ATOM 4708 HH22 ARG A 304 -10.676 -50.826 34.479 1.00 0.00 H +ATOM 4709 N ILE A 305 -18.405 -51.115 33.102 1.00 0.00 N +ATOM 4710 CA ILE A 305 -18.337 -51.169 31.651 1.00 0.00 C +ATOM 4711 C ILE A 305 -17.792 -49.835 31.167 1.00 0.00 C +ATOM 4712 O ILE A 305 -18.126 -48.778 31.715 1.00 0.00 O +ATOM 4713 CB ILE A 305 -19.713 -51.481 31.033 1.00 0.00 C +ATOM 4714 CG1 ILE A 305 -20.708 -50.368 31.352 1.00 0.00 C +ATOM 4715 CG2 ILE A 305 -20.237 -52.806 31.562 1.00 0.00 C +ATOM 4716 CD1 ILE A 305 -22.098 -50.636 30.839 1.00 0.00 C +ATOM 4717 H ILE A 305 -19.055 -50.482 33.523 1.00 0.00 H +ATOM 4718 HA ILE A 305 -17.637 -51.962 31.348 1.00 0.00 H +ATOM 4719 HB ILE A 305 -19.600 -51.553 29.941 1.00 0.00 H +ATOM 4720 HG12 ILE A 305 -20.758 -50.249 32.444 1.00 0.00 H +ATOM 4721 HG13 ILE A 305 -20.344 -49.435 30.897 1.00 0.00 H +ATOM 4722 HG21 ILE A 305 -21.219 -53.018 31.114 1.00 0.00 H +ATOM 4723 HG22 ILE A 305 -19.533 -53.610 31.299 1.00 0.00 H +ATOM 4724 HG23 ILE A 305 -20.338 -52.750 32.656 1.00 0.00 H +ATOM 4725 HD11 ILE A 305 -22.756 -49.796 31.105 1.00 0.00 H +ATOM 4726 HD12 ILE A 305 -22.070 -50.748 29.745 1.00 0.00 H +ATOM 4727 HD13 ILE A 305 -22.484 -51.561 31.292 1.00 0.00 H +ATOM 4728 N THR A 306 -16.940 -49.885 30.150 1.00 0.00 N +ATOM 4729 CA THR A 306 -16.202 -48.715 29.699 1.00 0.00 C +ATOM 4730 C THR A 306 -16.342 -48.592 28.193 1.00 0.00 C +ATOM 4731 O THR A 306 -16.020 -49.532 27.461 1.00 0.00 O +ATOM 4732 CB THR A 306 -14.726 -48.817 30.097 1.00 0.00 C +ATOM 4733 OG1 THR A 306 -14.616 -48.787 31.525 1.00 0.00 O +ATOM 4734 CG2 THR A 306 -13.929 -47.675 29.501 1.00 0.00 C +ATOM 4735 H THR A 306 -16.801 -50.756 29.678 1.00 0.00 H +ATOM 4736 HA THR A 306 -16.626 -47.813 30.165 1.00 0.00 H +ATOM 4737 HB THR A 306 -14.325 -49.766 29.712 1.00 0.00 H +ATOM 4738 HG1 THR A 306 -14.800 -47.909 31.839 1.00 0.00 H +ATOM 4739 HG21 THR A 306 -12.874 -47.768 29.799 1.00 0.00 H +ATOM 4740 HG22 THR A 306 -14.004 -47.709 28.404 1.00 0.00 H +ATOM 4741 HG23 THR A 306 -14.330 -46.718 29.867 1.00 0.00 H +ATOM 4742 N ILE A 307 -16.824 -47.443 27.734 1.00 0.00 N +ATOM 4743 CA ILE A 307 -16.959 -47.179 26.311 1.00 0.00 C +ATOM 4744 C ILE A 307 -15.936 -46.131 25.901 1.00 0.00 C +ATOM 4745 O ILE A 307 -15.350 -45.425 26.727 1.00 0.00 O +ATOM 4746 CB ILE A 307 -18.379 -46.725 25.925 1.00 0.00 C +ATOM 4747 CG1 ILE A 307 -18.714 -45.410 26.626 1.00 0.00 C +ATOM 4748 CG2 ILE A 307 -19.394 -47.803 26.262 1.00 0.00 C +ATOM 4749 CD1 ILE A 307 -19.881 -44.681 26.008 1.00 0.00 C +ATOM 4750 H ILE A 307 -17.102 -46.738 28.387 1.00 0.00 H +ATOM 4751 HA ILE A 307 -16.740 -48.103 25.756 1.00 0.00 H +ATOM 4752 HB ILE A 307 -18.401 -46.554 24.839 1.00 0.00 H +ATOM 4753 HG12 ILE A 307 -18.956 -45.627 27.677 1.00 0.00 H +ATOM 4754 HG13 ILE A 307 -17.831 -44.756 26.580 1.00 0.00 H +ATOM 4755 HG21 ILE A 307 -20.400 -47.461 25.979 1.00 0.00 H +ATOM 4756 HG22 ILE A 307 -19.150 -48.722 25.708 1.00 0.00 H +ATOM 4757 HG23 ILE A 307 -19.366 -48.008 27.342 1.00 0.00 H +ATOM 4758 HD11 ILE A 307 -20.065 -43.748 26.560 1.00 0.00 H +ATOM 4759 HD12 ILE A 307 -19.652 -44.446 24.958 1.00 0.00 H +ATOM 4760 HD13 ILE A 307 -20.777 -45.317 26.055 1.00 0.00 H +ATOM 4761 N LEU A 308 -15.738 -46.029 24.599 1.00 0.00 N +ATOM 4762 CA LEU A 308 -14.741 -45.186 23.970 1.00 0.00 C +ATOM 4763 C LEU A 308 -15.391 -44.043 23.209 1.00 0.00 C +ATOM 4764 O LEU A 308 -16.620 -44.029 22.997 1.00 0.00 O +ATOM 4765 CB LEU A 308 -13.880 -46.024 23.015 1.00 0.00 C +ATOM 4766 CG LEU A 308 -13.343 -47.364 23.522 1.00 0.00 C +ATOM 4767 CD1 LEU A 308 -12.500 -48.019 22.443 1.00 0.00 C +ATOM 4768 CD2 LEU A 308 -12.539 -47.191 24.800 1.00 0.00 C +ATOM 4769 H LEU A 308 -16.322 -46.577 24.000 1.00 0.00 H +ATOM 4770 HA LEU A 308 -14.084 -44.760 24.742 1.00 0.00 H +ATOM 4771 HB2 LEU A 308 -14.489 -46.232 22.123 1.00 0.00 H +ATOM 4772 HB3 LEU A 308 -13.012 -45.410 22.732 1.00 0.00 H +ATOM 4773 HG LEU A 308 -14.200 -48.019 23.738 1.00 0.00 H +ATOM 4774 HD11 LEU A 308 -12.116 -48.982 22.811 1.00 0.00 H +ATOM 4775 HD12 LEU A 308 -13.117 -48.188 21.548 1.00 0.00 H +ATOM 4776 HD13 LEU A 308 -11.656 -47.361 22.187 1.00 0.00 H +ATOM 4777 HD21 LEU A 308 -12.169 -48.171 25.136 1.00 0.00 H +ATOM 4778 HD22 LEU A 308 -11.686 -46.523 24.609 1.00 0.00 H +ATOM 4779 HD23 LEU A 308 -13.180 -46.754 25.580 1.00 0.00 H +ATOM 4780 N PRO A 309 -14.621 -43.040 22.779 1.00 0.00 N +ATOM 4781 CA PRO A 309 -15.173 -42.024 21.875 1.00 0.00 C +ATOM 4782 C PRO A 309 -15.669 -42.594 20.562 1.00 0.00 C +ATOM 4783 O PRO A 309 -16.489 -41.950 19.898 1.00 0.00 O +ATOM 4784 CB PRO A 309 -14.001 -41.055 21.659 1.00 0.00 C +ATOM 4785 CG PRO A 309 -12.784 -41.802 22.103 1.00 0.00 C +ATOM 4786 CD PRO A 309 -13.246 -42.701 23.199 1.00 0.00 C +ATOM 4787 HA PRO A 309 -15.995 -41.487 22.372 1.00 0.00 H +ATOM 4788 HB2 PRO A 309 -13.919 -40.781 20.597 1.00 0.00 H +ATOM 4789 HB3 PRO A 309 -14.137 -40.146 22.263 1.00 0.00 H +ATOM 4790 HG2 PRO A 309 -12.370 -42.391 21.271 1.00 0.00 H +ATOM 4791 HG3 PRO A 309 -12.019 -41.104 22.475 1.00 0.00 H +ATOM 4792 HD2 PRO A 309 -13.244 -42.180 24.168 1.00 0.00 H +ATOM 4793 HD3 PRO A 309 -12.618 -43.601 23.266 1.00 0.00 H +ATOM 4794 N GLN A 310 -15.198 -43.775 20.157 1.00 0.00 N +ATOM 4795 CA GLN A 310 -15.765 -44.421 18.981 1.00 0.00 C +ATOM 4796 C GLN A 310 -17.232 -44.776 19.181 1.00 0.00 C +ATOM 4797 O GLN A 310 -17.951 -44.976 18.196 1.00 0.00 O +ATOM 4798 CB GLN A 310 -14.962 -45.671 18.623 1.00 0.00 C +ATOM 4799 CG GLN A 310 -13.648 -45.379 17.925 1.00 0.00 C +ATOM 4800 CD GLN A 310 -12.472 -45.266 18.881 1.00 0.00 C +ATOM 4801 OE1 GLN A 310 -12.641 -45.023 20.075 1.00 0.00 O +ATOM 4802 NE2 GLN A 310 -11.270 -45.458 18.354 1.00 0.00 N +ATOM 4803 H GLN A 310 -14.456 -44.217 20.661 1.00 0.00 H +ATOM 4804 HA GLN A 310 -15.700 -43.725 18.131 1.00 0.00 H +ATOM 4805 HB2 GLN A 310 -14.746 -46.221 19.551 1.00 0.00 H +ATOM 4806 HB3 GLN A 310 -15.575 -46.298 17.959 1.00 0.00 H +ATOM 4807 HG2 GLN A 310 -13.443 -46.192 17.213 1.00 0.00 H +ATOM 4808 HG3 GLN A 310 -13.746 -44.429 17.379 1.00 0.00 H +ATOM 4809 HE21 GLN A 310 -10.456 -45.408 18.933 1.00 0.00 H +ATOM 4810 HE22 GLN A 310 -11.177 -45.653 17.378 1.00 0.00 H +ATOM 4811 N GLN A 311 -17.689 -44.854 20.431 1.00 0.00 N +ATOM 4812 CA GLN A 311 -19.089 -45.109 20.736 1.00 0.00 C +ATOM 4813 C GLN A 311 -19.902 -43.824 20.844 1.00 0.00 C +ATOM 4814 O GLN A 311 -21.020 -43.753 20.325 1.00 0.00 O +ATOM 4815 CB GLN A 311 -19.214 -45.913 22.035 1.00 0.00 C +ATOM 4816 CG GLN A 311 -19.086 -47.416 21.855 1.00 0.00 C +ATOM 4817 CD GLN A 311 -17.661 -47.855 21.591 1.00 0.00 C +ATOM 4818 OE1 GLN A 311 -16.768 -47.633 22.410 1.00 0.00 O +ATOM 4819 NE2 GLN A 311 -17.440 -48.482 20.443 1.00 0.00 N +ATOM 4820 H GLN A 311 -17.046 -44.733 21.187 1.00 0.00 H +ATOM 4821 HA GLN A 311 -19.522 -45.714 19.925 1.00 0.00 H +ATOM 4822 HB2 GLN A 311 -18.424 -45.580 22.724 1.00 0.00 H +ATOM 4823 HB3 GLN A 311 -20.199 -45.702 22.478 1.00 0.00 H +ATOM 4824 HG2 GLN A 311 -19.443 -47.911 22.770 1.00 0.00 H +ATOM 4825 HG3 GLN A 311 -19.712 -47.723 21.004 1.00 0.00 H +ATOM 4826 HE21 GLN A 311 -16.518 -48.795 20.214 1.00 0.00 H +ATOM 4827 HE22 GLN A 311 -18.195 -48.641 19.807 1.00 0.00 H +ATOM 4828 N TYR A 312 -19.373 -42.801 21.513 1.00 0.00 N +ATOM 4829 CA TYR A 312 -20.181 -41.611 21.750 1.00 0.00 C +ATOM 4830 C TYR A 312 -19.926 -40.487 20.753 1.00 0.00 C +ATOM 4831 O TYR A 312 -20.612 -39.462 20.818 1.00 0.00 O +ATOM 4832 CB TYR A 312 -20.008 -41.105 23.196 1.00 0.00 C +ATOM 4833 CG TYR A 312 -18.637 -40.618 23.633 1.00 0.00 C +ATOM 4834 CD1 TYR A 312 -18.187 -39.347 23.301 1.00 0.00 C +ATOM 4835 CD2 TYR A 312 -17.831 -41.399 24.453 1.00 0.00 C +ATOM 4836 CE1 TYR A 312 -16.948 -38.888 23.732 1.00 0.00 C +ATOM 4837 CE2 TYR A 312 -16.595 -40.948 24.889 1.00 0.00 C +ATOM 4838 CZ TYR A 312 -16.159 -39.693 24.525 1.00 0.00 C +ATOM 4839 OH TYR A 312 -14.932 -39.246 24.958 1.00 0.00 O +ATOM 4840 H TYR A 312 -18.432 -42.849 21.849 1.00 0.00 H +ATOM 4841 HA TYR A 312 -21.237 -41.899 21.642 1.00 0.00 H +ATOM 4842 HB2 TYR A 312 -20.709 -40.269 23.334 1.00 0.00 H +ATOM 4843 HB3 TYR A 312 -20.288 -41.932 23.865 1.00 0.00 H +ATOM 4844 HD1 TYR A 312 -18.810 -38.704 22.698 1.00 0.00 H +ATOM 4845 HD2 TYR A 312 -18.175 -42.377 24.757 1.00 0.00 H +ATOM 4846 HE1 TYR A 312 -16.605 -37.904 23.447 1.00 0.00 H +ATOM 4847 HE2 TYR A 312 -15.976 -41.578 25.511 1.00 0.00 H +ATOM 4848 HH TYR A 312 -14.497 -39.936 25.445 1.00 0.00 H +ATOM 4849 N LEU A 313 -18.976 -40.650 19.838 1.00 0.00 N +ATOM 4850 CA LEU A 313 -18.840 -39.769 18.683 1.00 0.00 C +ATOM 4851 C LEU A 313 -19.411 -40.523 17.489 1.00 0.00 C +ATOM 4852 O LEU A 313 -18.811 -41.493 17.016 1.00 0.00 O +ATOM 4853 CB LEU A 313 -17.385 -39.366 18.446 1.00 0.00 C +ATOM 4854 CG LEU A 313 -16.692 -38.558 19.544 1.00 0.00 C +ATOM 4855 CD1 LEU A 313 -15.243 -38.316 19.158 1.00 0.00 C +ATOM 4856 CD2 LEU A 313 -17.415 -37.242 19.792 1.00 0.00 C +ATOM 4857 H LEU A 313 -18.330 -41.405 19.945 1.00 0.00 H +ATOM 4858 HA LEU A 313 -19.436 -38.858 18.843 1.00 0.00 H +ATOM 4859 HB2 LEU A 313 -16.806 -40.290 18.301 1.00 0.00 H +ATOM 4860 HB3 LEU A 313 -17.355 -38.765 17.525 1.00 0.00 H +ATOM 4861 HG LEU A 313 -16.712 -39.147 20.473 1.00 0.00 H +ATOM 4862 HD11 LEU A 313 -14.745 -37.735 19.948 1.00 0.00 H +ATOM 4863 HD12 LEU A 313 -14.730 -39.281 19.035 1.00 0.00 H +ATOM 4864 HD13 LEU A 313 -15.204 -37.757 18.212 1.00 0.00 H +ATOM 4865 HD21 LEU A 313 -16.897 -36.682 20.584 1.00 0.00 H +ATOM 4866 HD22 LEU A 313 -17.421 -36.647 18.867 1.00 0.00 H +ATOM 4867 HD23 LEU A 313 -18.450 -37.445 20.104 1.00 0.00 H +ATOM 4868 N ARG A 314 -20.578 -40.093 17.015 1.00 0.00 N +ATOM 4869 CA ARG A 314 -21.230 -40.960 16.043 1.00 0.00 C +ATOM 4870 C ARG A 314 -21.058 -40.419 14.637 1.00 0.00 C +ATOM 4871 O ARG A 314 -21.301 -39.228 14.398 1.00 0.00 O +ATOM 4872 CB ARG A 314 -22.709 -41.123 16.377 1.00 0.00 C +ATOM 4873 CG ARG A 314 -22.912 -41.622 17.792 1.00 0.00 C +ATOM 4874 CD ARG A 314 -24.327 -42.080 18.043 1.00 0.00 C +ATOM 4875 NE ARG A 314 -24.696 -43.259 17.268 1.00 0.00 N +ATOM 4876 CZ ARG A 314 -24.293 -44.496 17.544 1.00 0.00 C +ATOM 4877 NH1 ARG A 314 -24.696 -45.503 16.783 1.00 0.00 N +ATOM 4878 NH2 ARG A 314 -23.479 -44.729 18.567 1.00 0.00 N1+ +ATOM 4879 H ARG A 314 -20.983 -39.227 17.309 1.00 0.00 H +ATOM 4880 HA ARG A 314 -20.762 -41.954 16.085 1.00 0.00 H +ATOM 4881 HB2 ARG A 314 -23.209 -40.149 16.267 1.00 0.00 H +ATOM 4882 HB3 ARG A 314 -23.155 -41.845 15.677 1.00 0.00 H +ATOM 4883 HG2 ARG A 314 -22.230 -42.467 17.970 1.00 0.00 H +ATOM 4884 HG3 ARG A 314 -22.675 -40.807 18.491 1.00 0.00 H +ATOM 4885 HD2 ARG A 314 -24.433 -42.317 19.112 1.00 0.00 H +ATOM 4886 HD3 ARG A 314 -25.012 -41.260 17.779 1.00 0.00 H +ATOM 4887 HE ARG A 314 -25.292 -43.129 16.476 1.00 0.00 H +ATOM 4888 HH11 ARG A 314 -24.387 -46.433 16.980 1.00 0.00 H +ATOM 4889 HH12 ARG A 314 -25.309 -45.333 16.011 1.00 0.00 H +ATOM 4890 HH21 ARG A 314 -23.173 -45.661 18.760 1.00 0.00 H +ATOM 4891 HH22 ARG A 314 -23.172 -43.972 19.144 1.00 0.00 H +ATOM 4892 N PRO A 315 -20.646 -41.273 13.701 1.00 0.00 N +ATOM 4893 CA PRO A 315 -20.279 -40.794 12.363 1.00 0.00 C +ATOM 4894 C PRO A 315 -21.489 -40.353 11.558 1.00 0.00 C +ATOM 4895 O PRO A 315 -22.557 -40.966 11.613 1.00 0.00 O +ATOM 4896 CB PRO A 315 -19.603 -42.012 11.724 1.00 0.00 C +ATOM 4897 CG PRO A 315 -20.184 -43.178 12.446 1.00 0.00 C +ATOM 4898 CD PRO A 315 -20.435 -42.722 13.851 1.00 0.00 C +ATOM 4899 HA PRO A 315 -19.558 -39.967 12.434 1.00 0.00 H +ATOM 4900 HB2 PRO A 315 -19.832 -42.066 10.649 1.00 0.00 H +ATOM 4901 HB3 PRO A 315 -18.513 -41.971 11.865 1.00 0.00 H +ATOM 4902 HG2 PRO A 315 -21.127 -43.488 11.972 1.00 0.00 H +ATOM 4903 HG3 PRO A 315 -19.477 -44.020 12.440 1.00 0.00 H +ATOM 4904 HD2 PRO A 315 -21.327 -43.209 14.271 1.00 0.00 H +ATOM 4905 HD3 PRO A 315 -19.567 -42.930 14.494 1.00 0.00 H +ATOM 4906 N VAL A 316 -21.253 -39.194 10.862 1.00 0.00 N +ATOM 4907 CA VAL A 316 -22.249 -38.582 10.044 1.00 0.00 C +ATOM 4908 C VAL A 316 -22.006 -38.575 8.560 1.00 0.00 C +ATOM 4909 O VAL A 316 -20.966 -38.153 8.049 1.00 0.00 O +ATOM 4910 CB VAL A 316 -23.413 -37.893 10.661 1.00 0.00 C +ATOM 4911 CG1 VAL A 316 -24.171 -36.862 9.897 1.00 0.00 C +ATOM 4912 CG2 VAL A 316 -23.841 -38.164 12.077 1.00 0.00 C +ATOM 4913 H VAL A 316 -20.353 -38.765 10.930 1.00 0.00 H +ATOM 4914 HA VAL A 316 -22.811 -39.525 9.974 1.00 0.00 H +ATOM 4915 HB VAL A 316 -24.088 -38.679 10.293 1.00 0.00 H +ATOM 4916 HG11 VAL A 316 -24.989 -36.472 10.520 1.00 0.00 H +ATOM 4917 HG12 VAL A 316 -23.495 -36.039 9.622 1.00 0.00 H +ATOM 4918 HG13 VAL A 316 -24.588 -37.315 8.985 1.00 0.00 H +ATOM 4919 HG21 VAL A 316 -24.719 -37.546 12.319 1.00 0.00 H +ATOM 4920 HG22 VAL A 316 -24.101 -39.227 12.184 1.00 0.00 H +ATOM 4921 HG23 VAL A 316 -23.018 -37.916 12.763 1.00 0.00 H +ATOM 4922 N GLU A 317 -23.062 -39.100 7.843 1.00 0.00 N +ATOM 4923 CA GLU A 317 -22.932 -39.196 6.428 1.00 0.00 C +ATOM 4924 C GLU A 317 -23.132 -37.980 5.577 1.00 0.00 C +ATOM 4925 O GLU A 317 -24.128 -37.256 5.652 1.00 0.00 O +ATOM 4926 CB GLU A 317 -22.627 -40.527 5.795 1.00 0.00 C +ATOM 4927 CG GLU A 317 -21.160 -40.916 5.922 1.00 0.00 C +ATOM 4928 CD GLU A 317 -20.819 -41.467 7.288 1.00 0.00 C +ATOM 4929 OE1 GLU A 317 -21.747 -42.016 7.961 1.00 0.00 O +ATOM 4930 OE2 GLU A 317 -19.608 -41.331 7.646 1.00 0.00 O1- +ATOM 4931 H GLU A 317 -23.895 -39.404 8.304 1.00 0.00 H +ATOM 4932 HA GLU A 317 -21.857 -38.976 6.503 1.00 0.00 H +ATOM 4933 HB2 GLU A 317 -23.239 -41.299 6.285 1.00 0.00 H +ATOM 4934 HB3 GLU A 317 -22.886 -40.477 4.727 1.00 0.00 H +ATOM 4935 HG2 GLU A 317 -20.932 -41.682 5.167 1.00 0.00 H +ATOM 4936 HG3 GLU A 317 -20.542 -40.024 5.738 1.00 0.00 H +ATOM 4937 N ASP A 318 -22.044 -37.737 4.770 1.00 0.00 N +ATOM 4938 CA ASP A 318 -21.888 -36.527 4.018 1.00 0.00 C +ATOM 4939 C ASP A 318 -21.344 -36.656 2.615 1.00 0.00 C +ATOM 4940 O ASP A 318 -20.162 -36.960 2.404 1.00 0.00 O +ATOM 4941 CB ASP A 318 -22.077 -35.234 4.740 1.00 0.00 C +ATOM 4942 CG ASP A 318 -22.097 -33.981 3.927 1.00 0.00 C +ATOM 4943 OD1 ASP A 318 -22.781 -33.966 2.866 1.00 0.00 O +ATOM 4944 OD2 ASP A 318 -21.449 -32.994 4.416 1.00 0.00 O1- +ATOM 4945 H ASP A 318 -21.331 -38.435 4.705 1.00 0.00 H +ATOM 4946 HA ASP A 318 -22.932 -36.545 3.670 1.00 0.00 H +ATOM 4947 HB2 ASP A 318 -23.036 -35.293 5.276 1.00 0.00 H +ATOM 4948 HB3 ASP A 318 -21.257 -35.141 5.467 1.00 0.00 H +ATOM 4949 N VAL A 319 -22.275 -36.459 1.616 1.00 0.00 N +ATOM 4950 CA VAL A 319 -21.854 -36.466 0.244 1.00 0.00 C +ATOM 4951 C VAL A 319 -20.913 -35.414 -0.284 1.00 0.00 C +ATOM 4952 O VAL A 319 -19.948 -35.660 -1.018 1.00 0.00 O +ATOM 4953 CB VAL A 319 -22.399 -37.500 -0.673 1.00 0.00 C +ATOM 4954 CG1 VAL A 319 -23.800 -37.385 -1.179 1.00 0.00 C +ATOM 4955 CG2 VAL A 319 -21.543 -38.642 -1.119 1.00 0.00 C +ATOM 4956 H VAL A 319 -23.237 -36.313 1.847 1.00 0.00 H +ATOM 4957 HA VAL A 319 -21.004 -37.118 0.495 1.00 0.00 H +ATOM 4958 HB VAL A 319 -22.750 -38.089 0.187 1.00 0.00 H +ATOM 4959 HG11 VAL A 319 -24.023 -38.236 -1.840 1.00 0.00 H +ATOM 4960 HG12 VAL A 319 -24.498 -37.389 -0.329 1.00 0.00 H +ATOM 4961 HG13 VAL A 319 -23.911 -36.446 -1.741 1.00 0.00 H +ATOM 4962 HG21 VAL A 319 -22.121 -39.295 -1.789 1.00 0.00 H +ATOM 4963 HG22 VAL A 319 -20.663 -38.255 -1.654 1.00 0.00 H +ATOM 4964 HG23 VAL A 319 -21.213 -39.218 -0.241 1.00 0.00 H +ATOM 4965 N ALA A 320 -21.233 -34.145 0.139 1.00 0.00 N +ATOM 4966 CA ALA A 320 -20.252 -33.110 0.058 1.00 0.00 C +ATOM 4967 C ALA A 320 -19.091 -33.046 1.024 1.00 0.00 C +ATOM 4968 O ALA A 320 -18.207 -32.185 1.005 1.00 0.00 O +ATOM 4969 CB ALA A 320 -20.438 -32.027 -0.969 1.00 0.00 C +ATOM 4970 H ALA A 320 -22.145 -33.948 0.500 1.00 0.00 H +ATOM 4971 HA ALA A 320 -19.655 -33.704 -0.649 1.00 0.00 H +ATOM 4972 HB1 ALA A 320 -19.604 -31.312 -0.904 1.00 0.00 H +ATOM 4973 HB2 ALA A 320 -20.459 -32.474 -1.973 1.00 0.00 H +ATOM 4974 HB3 ALA A 320 -21.386 -31.502 -0.781 1.00 0.00 H +ATOM 4975 N THR A 321 -19.136 -34.072 1.944 1.00 0.00 N +ATOM 4976 CA THR A 321 -18.129 -34.288 2.926 1.00 0.00 C +ATOM 4977 C THR A 321 -17.043 -35.313 2.770 1.00 0.00 C +ATOM 4978 O THR A 321 -16.398 -35.757 3.729 1.00 0.00 O +ATOM 4979 CB THR A 321 -18.241 -33.601 4.236 1.00 0.00 C +ATOM 4980 OG1 THR A 321 -18.673 -34.333 5.352 1.00 0.00 O +ATOM 4981 CG2 THR A 321 -17.941 -32.144 4.416 1.00 0.00 C +ATOM 4982 H THR A 321 -19.916 -34.697 1.919 1.00 0.00 H +ATOM 4983 HA THR A 321 -17.493 -33.490 2.514 1.00 0.00 H +ATOM 4984 HB THR A 321 -17.195 -33.852 4.466 1.00 0.00 H +ATOM 4985 HG1 THR A 321 -19.493 -33.972 5.670 1.00 0.00 H +ATOM 4986 HG21 THR A 321 -18.094 -31.865 5.469 1.00 0.00 H +ATOM 4987 HG22 THR A 321 -16.897 -31.947 4.132 1.00 0.00 H +ATOM 4988 HG23 THR A 321 -18.612 -31.550 3.779 1.00 0.00 H +ATOM 4989 N SER A 322 -16.782 -35.679 1.469 1.00 0.00 N +ATOM 4990 CA SER A 322 -16.033 -36.876 1.222 1.00 0.00 C +ATOM 4991 C SER A 322 -14.640 -37.154 1.720 1.00 0.00 C +ATOM 4992 O SER A 322 -14.229 -38.296 1.985 1.00 0.00 O +ATOM 4993 CB SER A 322 -16.569 -37.882 0.248 1.00 0.00 C +ATOM 4994 OG SER A 322 -17.957 -38.141 0.490 1.00 0.00 O +ATOM 4995 H SER A 322 -17.110 -35.119 0.708 1.00 0.00 H +ATOM 4996 HA SER A 322 -16.490 -37.394 2.077 1.00 0.00 H +ATOM 4997 HB2 SER A 322 -16.449 -37.492 -0.774 1.00 0.00 H +ATOM 4998 HB3 SER A 322 -16.004 -38.820 0.351 1.00 0.00 H +ATOM 4999 HG SER A 322 -18.276 -37.554 1.166 1.00 0.00 H +ATOM 5000 N GLN A 323 -13.836 -36.034 1.773 1.00 0.00 N +ATOM 5001 CA GLN A 323 -12.474 -36.158 2.276 1.00 0.00 C +ATOM 5002 C GLN A 323 -12.370 -35.936 3.781 1.00 0.00 C +ATOM 5003 O GLN A 323 -11.256 -35.954 4.316 1.00 0.00 O +ATOM 5004 CB GLN A 323 -11.549 -35.179 1.540 1.00 0.00 C +ATOM 5005 CG GLN A 323 -11.384 -35.474 0.053 1.00 0.00 C +ATOM 5006 CD GLN A 323 -10.315 -34.612 -0.599 1.00 0.00 C +ATOM 5007 OE1 GLN A 323 -10.013 -33.515 -0.129 1.00 0.00 O +ATOM 5008 NE2 GLN A 323 -9.732 -35.112 -1.683 1.00 0.00 N +ATOM 5009 H GLN A 323 -14.184 -35.147 1.469 1.00 0.00 H +ATOM 5010 HA GLN A 323 -12.115 -37.176 2.064 1.00 0.00 H +ATOM 5011 HB2 GLN A 323 -11.964 -34.166 1.647 1.00 0.00 H +ATOM 5012 HB3 GLN A 323 -10.556 -35.221 2.012 1.00 0.00 H +ATOM 5013 HG2 GLN A 323 -11.106 -36.531 -0.068 1.00 0.00 H +ATOM 5014 HG3 GLN A 323 -12.343 -35.287 -0.452 1.00 0.00 H +ATOM 5015 HE21 GLN A 323 -9.017 -34.592 -2.151 1.00 0.00 H +ATOM 5016 HE22 GLN A 323 -10.008 -36.008 -2.031 1.00 0.00 H +ATOM 5017 N ASP A 324 -13.490 -35.737 4.472 1.00 0.00 N +ATOM 5018 CA ASP A 324 -13.507 -35.497 5.909 1.00 0.00 C +ATOM 5019 C ASP A 324 -14.390 -36.520 6.611 1.00 0.00 C +ATOM 5020 O ASP A 324 -15.423 -36.936 6.075 1.00 0.00 O +ATOM 5021 CB ASP A 324 -14.015 -34.086 6.235 1.00 0.00 C +ATOM 5022 CG ASP A 324 -12.974 -33.016 5.989 1.00 0.00 C +ATOM 5023 OD1 ASP A 324 -11.818 -33.362 5.665 1.00 0.00 O +ATOM 5024 OD2 ASP A 324 -13.318 -31.822 6.126 1.00 0.00 O1- +ATOM 5025 H ASP A 324 -14.361 -35.753 3.981 1.00 0.00 H +ATOM 5026 HA ASP A 324 -12.485 -35.593 6.304 1.00 0.00 H +ATOM 5027 HB2 ASP A 324 -14.892 -33.874 5.606 1.00 0.00 H +ATOM 5028 HB3 ASP A 324 -14.308 -34.054 7.295 1.00 0.00 H +ATOM 5029 N ASP A 325 -13.974 -36.927 7.810 1.00 0.00 N +ATOM 5030 CA ASP A 325 -14.811 -37.702 8.718 1.00 0.00 C +ATOM 5031 C ASP A 325 -15.424 -36.738 9.728 1.00 0.00 C +ATOM 5032 O ASP A 325 -14.700 -35.974 10.375 1.00 0.00 O +ATOM 5033 CB ASP A 325 -14.007 -38.788 9.438 1.00 0.00 C +ATOM 5034 CG ASP A 325 -13.371 -39.785 8.487 1.00 0.00 C +ATOM 5035 OD1 ASP A 325 -13.873 -39.948 7.354 1.00 0.00 O +ATOM 5036 OD2 ASP A 325 -12.369 -40.416 8.885 1.00 0.00 O1- +ATOM 5037 H ASP A 325 -13.047 -36.690 8.100 1.00 0.00 H +ATOM 5038 HA ASP A 325 -15.622 -38.183 8.152 1.00 0.00 H +ATOM 5039 HB2 ASP A 325 -13.211 -38.305 10.023 1.00 0.00 H +ATOM 5040 HB3 ASP A 325 -14.681 -39.332 10.116 1.00 0.00 H +ATOM 5041 N CYS A 326 -16.748 -36.764 9.857 1.00 0.00 N +ATOM 5042 CA CYS A 326 -17.465 -35.865 10.752 1.00 0.00 C +ATOM 5043 C CYS A 326 -18.319 -36.667 11.724 1.00 0.00 C +ATOM 5044 O CYS A 326 -18.741 -37.786 11.422 1.00 0.00 O +ATOM 5045 CB CYS A 326 -18.347 -34.883 9.972 1.00 0.00 C +ATOM 5046 SG CYS A 326 -17.466 -33.841 8.779 1.00 0.00 S +ATOM 5047 H CYS A 326 -17.271 -37.425 9.319 1.00 0.00 H +ATOM 5048 HA CYS A 326 -16.737 -35.282 11.335 1.00 0.00 H +ATOM 5049 HB2 CYS A 326 -19.103 -35.465 9.424 1.00 0.00 H +ATOM 5050 HB3 CYS A 326 -18.847 -34.224 10.697 1.00 0.00 H +ATOM 5051 N TYR A 327 -18.578 -36.084 12.896 1.00 0.00 N +ATOM 5052 CA TYR A 327 -19.195 -36.815 13.995 1.00 0.00 C +ATOM 5053 C TYR A 327 -20.105 -35.911 14.814 1.00 0.00 C +ATOM 5054 O TYR A 327 -19.908 -34.695 14.879 1.00 0.00 O +ATOM 5055 CB TYR A 327 -18.139 -37.421 14.934 1.00 0.00 C +ATOM 5056 CG TYR A 327 -17.092 -38.265 14.247 1.00 0.00 C +ATOM 5057 CD1 TYR A 327 -15.951 -37.689 13.707 1.00 0.00 C +ATOM 5058 CD2 TYR A 327 -17.239 -39.640 14.151 1.00 0.00 C +ATOM 5059 CE1 TYR A 327 -14.992 -38.457 13.080 1.00 0.00 C +ATOM 5060 CE2 TYR A 327 -16.284 -40.417 13.528 1.00 0.00 C +ATOM 5061 CZ TYR A 327 -15.163 -39.822 12.995 1.00 0.00 C +ATOM 5062 OH TYR A 327 -14.210 -40.596 12.375 1.00 0.00 O +ATOM 5063 H TYR A 327 -18.343 -35.120 13.023 1.00 0.00 H +ATOM 5064 HA TYR A 327 -19.801 -37.637 13.586 1.00 0.00 H +ATOM 5065 HB2 TYR A 327 -17.628 -36.596 15.452 1.00 0.00 H +ATOM 5066 HB3 TYR A 327 -18.658 -38.052 15.671 1.00 0.00 H +ATOM 5067 HD1 TYR A 327 -15.811 -36.620 13.779 1.00 0.00 H +ATOM 5068 HD2 TYR A 327 -18.116 -40.111 14.571 1.00 0.00 H +ATOM 5069 HE1 TYR A 327 -14.113 -37.992 12.658 1.00 0.00 H +ATOM 5070 HE2 TYR A 327 -16.415 -41.487 13.459 1.00 0.00 H +ATOM 5071 HH TYR A 327 -13.385 -40.126 12.353 1.00 0.00 H +ATOM 5072 N LYS A 328 -21.088 -36.533 15.464 1.00 0.00 N +ATOM 5073 CA LYS A 328 -21.992 -35.866 16.390 1.00 0.00 C +ATOM 5074 C LYS A 328 -21.781 -36.409 17.798 1.00 0.00 C +ATOM 5075 O LYS A 328 -21.630 -37.620 17.992 1.00 0.00 O +ATOM 5076 CB LYS A 328 -23.457 -36.057 15.973 1.00 0.00 C +ATOM 5077 CG LYS A 328 -24.475 -35.712 17.067 1.00 0.00 C +ATOM 5078 CD LYS A 328 -25.915 -35.854 16.577 1.00 0.00 C +ATOM 5079 CE LYS A 328 -26.921 -35.642 17.707 1.00 0.00 C +ATOM 5080 NZ LYS A 328 -28.333 -35.634 17.223 1.00 0.00 N1+ +ATOM 5081 H LYS A 328 -21.212 -37.513 15.307 1.00 0.00 H +ATOM 5082 HA LYS A 328 -21.774 -34.788 16.397 1.00 0.00 H +ATOM 5083 HB2 LYS A 328 -23.654 -35.413 15.103 1.00 0.00 H +ATOM 5084 HB3 LYS A 328 -23.600 -37.110 15.689 1.00 0.00 H +ATOM 5085 HG2 LYS A 328 -24.322 -36.389 17.920 1.00 0.00 H +ATOM 5086 HG3 LYS A 328 -24.311 -34.673 17.389 1.00 0.00 H +ATOM 5087 HD2 LYS A 328 -26.099 -35.107 15.791 1.00 0.00 H +ATOM 5088 HD3 LYS A 328 -26.052 -36.864 16.163 1.00 0.00 H +ATOM 5089 HE2 LYS A 328 -26.804 -36.454 18.440 1.00 0.00 H +ATOM 5090 HE3 LYS A 328 -26.709 -34.677 18.191 1.00 0.00 H +ATOM 5091 HZ1 LYS A 328 -28.885 -35.045 17.813 1.00 0.00 H +ATOM 5092 HZ2 LYS A 328 -28.362 -35.287 16.286 1.00 0.00 H +ATOM 5093 HZ3 LYS A 328 -28.698 -36.565 17.245 1.00 0.00 H +ATOM 5094 N PHE A 329 -21.764 -35.505 18.775 1.00 0.00 N +ATOM 5095 CA PHE A 329 -21.671 -35.890 20.178 1.00 0.00 C +ATOM 5096 C PHE A 329 -23.002 -36.485 20.621 1.00 0.00 C +ATOM 5097 O PHE A 329 -24.050 -35.846 20.481 1.00 0.00 O +ATOM 5098 CB PHE A 329 -21.303 -34.667 21.016 1.00 0.00 C +ATOM 5099 CG PHE A 329 -21.070 -34.959 22.473 1.00 0.00 C +ATOM 5100 CD1 PHE A 329 -19.988 -35.724 22.881 1.00 0.00 C +ATOM 5101 CD2 PHE A 329 -21.910 -34.428 23.440 1.00 0.00 C +ATOM 5102 CE1 PHE A 329 -19.766 -35.978 24.220 1.00 0.00 C +ATOM 5103 CE2 PHE A 329 -21.690 -34.677 24.783 1.00 0.00 C +ATOM 5104 CZ PHE A 329 -20.615 -35.452 25.173 1.00 0.00 C +ATOM 5105 H PHE A 329 -21.816 -34.534 18.540 1.00 0.00 H +ATOM 5106 HA PHE A 329 -20.886 -36.651 20.301 1.00 0.00 H +ATOM 5107 HB2 PHE A 329 -20.383 -34.230 20.601 1.00 0.00 H +ATOM 5108 HB3 PHE A 329 -22.123 -33.937 20.938 1.00 0.00 H +ATOM 5109 HD1 PHE A 329 -19.310 -36.126 22.142 1.00 0.00 H +ATOM 5110 HD2 PHE A 329 -22.746 -33.813 23.141 1.00 0.00 H +ATOM 5111 HE1 PHE A 329 -18.928 -36.589 24.522 1.00 0.00 H +ATOM 5112 HE2 PHE A 329 -22.358 -34.266 25.526 1.00 0.00 H +ATOM 5113 HZ PHE A 329 -20.439 -35.646 26.221 1.00 0.00 H +ATOM 5114 N ALA A 330 -22.971 -37.710 21.146 1.00 0.00 N +ATOM 5115 CA ALA A 330 -24.194 -38.461 21.403 1.00 0.00 C +ATOM 5116 C ALA A 330 -24.388 -38.776 22.880 1.00 0.00 C +ATOM 5117 O ALA A 330 -24.906 -39.836 23.233 1.00 0.00 O +ATOM 5118 CB ALA A 330 -24.223 -39.743 20.577 1.00 0.00 C +ATOM 5119 H ALA A 330 -22.088 -38.124 21.369 1.00 0.00 H +ATOM 5120 HA ALA A 330 -25.048 -37.846 21.083 1.00 0.00 H +ATOM 5121 HB1 ALA A 330 -25.152 -40.293 20.786 1.00 0.00 H +ATOM 5122 HB2 ALA A 330 -24.179 -39.491 19.507 1.00 0.00 H +ATOM 5123 HB3 ALA A 330 -23.359 -40.369 20.842 1.00 0.00 H +ATOM 5124 N ILE A 331 -23.964 -37.872 23.754 1.00 0.00 N +ATOM 5125 CA ILE A 331 -24.372 -37.872 25.151 1.00 0.00 C +ATOM 5126 C ILE A 331 -25.264 -36.662 25.355 1.00 0.00 C +ATOM 5127 O ILE A 331 -24.907 -35.548 24.956 1.00 0.00 O +ATOM 5128 CB ILE A 331 -23.169 -37.837 26.105 1.00 0.00 C +ATOM 5129 CG1 ILE A 331 -22.209 -38.973 25.776 1.00 0.00 C +ATOM 5130 CG2 ILE A 331 -23.633 -37.956 27.547 1.00 0.00 C +ATOM 5131 CD1 ILE A 331 -20.999 -38.957 26.625 1.00 0.00 C +ATOM 5132 H ILE A 331 -23.337 -37.160 23.439 1.00 0.00 H +ATOM 5133 HA ILE A 331 -24.957 -38.779 25.362 1.00 0.00 H +ATOM 5134 HB ILE A 331 -22.644 -36.879 25.977 1.00 0.00 H +ATOM 5135 HG12 ILE A 331 -22.731 -39.930 25.924 1.00 0.00 H +ATOM 5136 HG13 ILE A 331 -21.902 -38.882 24.723 1.00 0.00 H +ATOM 5137 HG21 ILE A 331 -22.761 -37.929 28.217 1.00 0.00 H +ATOM 5138 HG22 ILE A 331 -24.305 -37.118 27.786 1.00 0.00 H +ATOM 5139 HG23 ILE A 331 -24.170 -38.907 27.682 1.00 0.00 H +ATOM 5140 HD11 ILE A 331 -20.344 -39.795 26.346 1.00 0.00 H +ATOM 5141 HD12 ILE A 331 -20.462 -38.008 26.480 1.00 0.00 H +ATOM 5142 HD13 ILE A 331 -21.291 -39.056 27.681 1.00 0.00 H +ATOM 5143 N SER A 332 -26.425 -36.876 25.964 1.00 0.00 N +ATOM 5144 CA SER A 332 -27.430 -35.828 26.015 1.00 0.00 C +ATOM 5145 C SER A 332 -28.208 -35.924 27.317 1.00 0.00 C +ATOM 5146 O SER A 332 -28.036 -36.854 28.107 1.00 0.00 O +ATOM 5147 CB SER A 332 -28.362 -35.908 24.804 1.00 0.00 C +ATOM 5148 OG SER A 332 -28.927 -37.202 24.694 1.00 0.00 O +ATOM 5149 H SER A 332 -26.608 -37.762 26.389 1.00 0.00 H +ATOM 5150 HA SER A 332 -26.927 -34.850 25.990 1.00 0.00 H +ATOM 5151 HB2 SER A 332 -29.169 -35.170 24.920 1.00 0.00 H +ATOM 5152 HB3 SER A 332 -27.789 -35.685 23.892 1.00 0.00 H +ATOM 5153 HG SER A 332 -28.550 -37.770 25.356 1.00 0.00 H +ATOM 5154 N GLN A 333 -29.073 -34.938 27.524 1.00 0.00 N +ATOM 5155 CA GLN A 333 -29.797 -34.783 28.774 1.00 0.00 C +ATOM 5156 C GLN A 333 -31.135 -35.504 28.712 1.00 0.00 C +ATOM 5157 O GLN A 333 -31.782 -35.558 27.662 1.00 0.00 O +ATOM 5158 CB GLN A 333 -30.013 -33.301 29.086 1.00 0.00 C +ATOM 5159 CG GLN A 333 -30.803 -33.043 30.362 1.00 0.00 C +ATOM 5160 CD GLN A 333 -30.930 -31.570 30.693 1.00 0.00 C +ATOM 5161 OE1 GLN A 333 -29.951 -30.824 30.655 1.00 0.00 O +ATOM 5162 NE2 GLN A 333 -32.145 -31.142 31.021 1.00 0.00 N +ATOM 5163 H GLN A 333 -29.232 -34.277 26.791 1.00 0.00 H +ATOM 5164 HA GLN A 333 -29.206 -35.223 29.591 1.00 0.00 H +ATOM 5165 HB2 GLN A 333 -29.028 -32.822 29.187 1.00 0.00 H +ATOM 5166 HB3 GLN A 333 -30.557 -32.847 28.245 1.00 0.00 H +ATOM 5167 HG2 GLN A 333 -31.812 -33.463 30.240 1.00 0.00 H +ATOM 5168 HG3 GLN A 333 -30.294 -33.547 31.197 1.00 0.00 H +ATOM 5169 HE21 GLN A 333 -32.291 -30.180 31.250 1.00 0.00 H +ATOM 5170 HE22 GLN A 333 -32.913 -31.782 31.039 1.00 0.00 H +ATOM 5171 N SER A 334 -31.540 -36.060 29.847 1.00 0.00 N +ATOM 5172 CA SER A 334 -32.808 -36.754 29.975 1.00 0.00 C +ATOM 5173 C SER A 334 -33.587 -36.189 31.152 1.00 0.00 C +ATOM 5174 O SER A 334 -33.004 -35.821 32.177 1.00 0.00 O +ATOM 5175 CB SER A 334 -32.594 -38.254 30.164 1.00 0.00 C +ATOM 5176 OG SER A 334 -33.756 -38.871 30.691 1.00 0.00 O +ATOM 5177 H SER A 334 -30.946 -35.998 30.649 1.00 0.00 H +ATOM 5178 HA SER A 334 -33.400 -36.602 29.061 1.00 0.00 H +ATOM 5179 HB2 SER A 334 -32.355 -38.709 29.191 1.00 0.00 H +ATOM 5180 HB3 SER A 334 -31.756 -38.413 30.859 1.00 0.00 H +ATOM 5181 HG SER A 334 -33.511 -39.656 31.166 1.00 0.00 H +ATOM 5182 N SER A 335 -34.906 -36.116 30.991 1.00 0.00 N +ATOM 5183 CA SER A 335 -35.807 -35.734 32.068 1.00 0.00 C +ATOM 5184 C SER A 335 -36.442 -36.936 32.749 1.00 0.00 C +ATOM 5185 O SER A 335 -37.212 -36.760 33.700 1.00 0.00 O +ATOM 5186 CB SER A 335 -36.903 -34.806 31.536 1.00 0.00 C +ATOM 5187 OG SER A 335 -36.345 -33.633 30.973 1.00 0.00 O +ATOM 5188 H SER A 335 -35.293 -36.332 30.095 1.00 0.00 H +ATOM 5189 HA SER A 335 -35.236 -35.179 32.826 1.00 0.00 H +ATOM 5190 HB2 SER A 335 -37.480 -35.336 30.764 1.00 0.00 H +ATOM 5191 HB3 SER A 335 -37.570 -34.525 32.364 1.00 0.00 H +ATOM 5192 HG SER A 335 -35.478 -33.825 30.636 1.00 0.00 H +ATOM 5193 N THR A 336 -36.131 -38.152 32.296 1.00 0.00 N +ATOM 5194 CA THR A 336 -36.784 -39.360 32.787 1.00 0.00 C +ATOM 5195 C THR A 336 -35.787 -40.390 33.300 1.00 0.00 C +ATOM 5196 O THR A 336 -36.106 -41.582 33.355 1.00 0.00 O +ATOM 5197 CB THR A 336 -37.649 -39.979 31.689 1.00 0.00 C +ATOM 5198 OG1 THR A 336 -36.838 -40.243 30.536 1.00 0.00 O +ATOM 5199 CG2 THR A 336 -38.783 -39.036 31.308 1.00 0.00 C +ATOM 5200 H THR A 336 -35.424 -38.238 31.594 1.00 0.00 H +ATOM 5201 HA THR A 336 -37.446 -39.087 33.622 1.00 0.00 H +ATOM 5202 HB THR A 336 -38.081 -40.917 32.067 1.00 0.00 H +ATOM 5203 HG1 THR A 336 -36.657 -39.428 30.082 1.00 0.00 H +ATOM 5204 HG21 THR A 336 -39.394 -39.497 30.518 1.00 0.00 H +ATOM 5205 HG22 THR A 336 -39.410 -38.842 32.190 1.00 0.00 H +ATOM 5206 HG23 THR A 336 -38.363 -38.088 30.941 1.00 0.00 H +ATOM 5207 N GLY A 337 -34.590 -39.963 33.667 1.00 0.00 N +ATOM 5208 CA GLY A 337 -33.584 -40.875 34.162 1.00 0.00 C +ATOM 5209 C GLY A 337 -32.565 -41.235 33.103 1.00 0.00 C +ATOM 5210 O GLY A 337 -32.578 -40.740 31.974 1.00 0.00 O +ATOM 5211 H GLY A 337 -34.377 -38.988 33.600 1.00 0.00 H +ATOM 5212 HA2 GLY A 337 -33.063 -40.402 35.008 1.00 0.00 H +ATOM 5213 HA3 GLY A 337 -34.079 -41.796 34.504 1.00 0.00 H +ATOM 5214 N THR A 338 -31.660 -42.127 33.491 1.00 0.00 N +ATOM 5215 CA THR A 338 -30.588 -42.550 32.601 1.00 0.00 C +ATOM 5216 C THR A 338 -31.104 -43.537 31.564 1.00 0.00 C +ATOM 5217 O THR A 338 -31.830 -44.479 31.888 1.00 0.00 O +ATOM 5218 CB THR A 338 -29.450 -43.197 33.391 1.00 0.00 C +ATOM 5219 OG1 THR A 338 -28.970 -42.281 34.382 1.00 0.00 O +ATOM 5220 CG2 THR A 338 -28.311 -43.577 32.460 1.00 0.00 C +ATOM 5221 H THR A 338 -31.716 -42.515 34.411 1.00 0.00 H +ATOM 5222 HA THR A 338 -30.187 -41.672 32.074 1.00 0.00 H +ATOM 5223 HB THR A 338 -29.831 -44.108 33.875 1.00 0.00 H +ATOM 5224 HG1 THR A 338 -28.950 -42.711 35.229 1.00 0.00 H +ATOM 5225 HG21 THR A 338 -27.501 -44.041 33.042 1.00 0.00 H +ATOM 5226 HG22 THR A 338 -28.676 -44.290 31.706 1.00 0.00 H +ATOM 5227 HG23 THR A 338 -27.932 -42.675 31.958 1.00 0.00 H +ATOM 5228 N VAL A 339 -30.711 -43.327 30.313 1.00 0.00 N +ATOM 5229 CA VAL A 339 -31.024 -44.239 29.222 1.00 0.00 C +ATOM 5230 C VAL A 339 -29.704 -44.727 28.643 1.00 0.00 C +ATOM 5231 O VAL A 339 -28.971 -43.953 28.015 1.00 0.00 O +ATOM 5232 CB VAL A 339 -31.883 -43.575 28.138 1.00 0.00 C +ATOM 5233 CG1 VAL A 339 -32.250 -44.592 27.070 1.00 0.00 C +ATOM 5234 CG2 VAL A 339 -33.131 -42.957 28.741 1.00 0.00 C +ATOM 5235 H VAL A 339 -30.177 -42.506 30.111 1.00 0.00 H +ATOM 5236 HA VAL A 339 -31.574 -45.106 29.617 1.00 0.00 H +ATOM 5237 HB VAL A 339 -31.290 -42.776 27.669 1.00 0.00 H +ATOM 5238 HG11 VAL A 339 -32.865 -44.107 26.298 1.00 0.00 H +ATOM 5239 HG12 VAL A 339 -31.332 -44.989 26.612 1.00 0.00 H +ATOM 5240 HG13 VAL A 339 -32.818 -45.416 27.528 1.00 0.00 H +ATOM 5241 HG21 VAL A 339 -33.729 -42.488 27.946 1.00 0.00 H +ATOM 5242 HG22 VAL A 339 -33.726 -43.740 29.234 1.00 0.00 H +ATOM 5243 HG23 VAL A 339 -32.842 -42.195 29.480 1.00 0.00 H +ATOM 5244 N MET A 340 -29.398 -46.004 28.854 1.00 0.00 N +ATOM 5245 CA MET A 340 -28.222 -46.623 28.246 1.00 0.00 C +ATOM 5246 C MET A 340 -28.628 -47.119 26.867 1.00 0.00 C +ATOM 5247 O MET A 340 -29.100 -48.244 26.697 1.00 0.00 O +ATOM 5248 CB MET A 340 -27.683 -47.748 29.122 1.00 0.00 C +ATOM 5249 CG MET A 340 -27.090 -47.264 30.438 1.00 0.00 C +ATOM 5250 SD MET A 340 -27.042 -48.509 31.743 1.00 0.00 S +ATOM 5251 CE MET A 340 -25.793 -49.633 31.130 1.00 0.00 C +ATOM 5252 H MET A 340 -29.988 -46.555 29.444 1.00 0.00 H +ATOM 5253 HA MET A 340 -27.433 -45.866 28.127 1.00 0.00 H +ATOM 5254 HB2 MET A 340 -28.508 -48.440 29.346 1.00 0.00 H +ATOM 5255 HB3 MET A 340 -26.900 -48.280 28.562 1.00 0.00 H +ATOM 5256 HG2 MET A 340 -26.060 -46.927 30.247 1.00 0.00 H +ATOM 5257 HG3 MET A 340 -27.693 -46.416 30.795 1.00 0.00 H +ATOM 5258 HE1 MET A 340 -25.537 -50.361 31.914 1.00 0.00 H +ATOM 5259 HE2 MET A 340 -26.180 -50.165 30.248 1.00 0.00 H +ATOM 5260 HE3 MET A 340 -24.894 -49.064 30.850 1.00 0.00 H +ATOM 5261 N GLY A 341 -28.455 -46.253 25.875 1.00 0.00 N +ATOM 5262 CA GLY A 341 -28.850 -46.536 24.513 1.00 0.00 C +ATOM 5263 C GLY A 341 -27.758 -47.198 23.706 1.00 0.00 C +ATOM 5264 O GLY A 341 -26.861 -47.855 24.240 1.00 0.00 O +ATOM 5265 H GLY A 341 -28.034 -45.369 26.078 1.00 0.00 H +ATOM 5266 HA2 GLY A 341 -29.724 -47.203 24.533 1.00 0.00 H +ATOM 5267 HA3 GLY A 341 -29.123 -45.589 24.023 1.00 0.00 H +ATOM 5268 N ALA A 342 -27.841 -47.015 22.386 1.00 0.00 N +ATOM 5269 CA ALA A 342 -26.877 -47.632 21.479 1.00 0.00 C +ATOM 5270 C ALA A 342 -25.453 -47.197 21.785 1.00 0.00 C +ATOM 5271 O ALA A 342 -24.509 -47.960 21.557 1.00 0.00 O +ATOM 5272 CB ALA A 342 -27.226 -47.297 20.025 1.00 0.00 C +ATOM 5273 H ALA A 342 -28.574 -46.447 22.013 1.00 0.00 H +ATOM 5274 HA ALA A 342 -26.931 -48.724 21.595 1.00 0.00 H +ATOM 5275 HB1 ALA A 342 -26.493 -47.768 19.354 1.00 0.00 H +ATOM 5276 HB2 ALA A 342 -28.232 -47.676 19.793 1.00 0.00 H +ATOM 5277 HB3 ALA A 342 -27.204 -46.206 19.885 1.00 0.00 H +ATOM 5278 N VAL A 343 -25.280 -45.977 22.298 1.00 0.00 N +ATOM 5279 CA VAL A 343 -23.945 -45.506 22.666 1.00 0.00 C +ATOM 5280 C VAL A 343 -23.295 -46.484 23.634 1.00 0.00 C +ATOM 5281 O VAL A 343 -22.124 -46.852 23.489 1.00 0.00 O +ATOM 5282 CB VAL A 343 -24.016 -44.082 23.250 1.00 0.00 C +ATOM 5283 CG1 VAL A 343 -22.684 -43.688 23.879 1.00 0.00 C +ATOM 5284 CG2 VAL A 343 -24.395 -43.099 22.164 1.00 0.00 C +ATOM 5285 H VAL A 343 -26.070 -45.379 22.432 1.00 0.00 H +ATOM 5286 HA VAL A 343 -23.324 -45.465 21.759 1.00 0.00 H +ATOM 5287 HB VAL A 343 -24.792 -44.064 24.030 1.00 0.00 H +ATOM 5288 HG11 VAL A 343 -22.758 -42.670 24.288 1.00 0.00 H +ATOM 5289 HG12 VAL A 343 -22.438 -44.391 24.688 1.00 0.00 H +ATOM 5290 HG13 VAL A 343 -21.894 -43.719 23.114 1.00 0.00 H +ATOM 5291 HG21 VAL A 343 -24.444 -42.085 22.587 1.00 0.00 H +ATOM 5292 HG22 VAL A 343 -23.640 -43.126 21.365 1.00 0.00 H +ATOM 5293 HG23 VAL A 343 -25.377 -43.371 21.750 1.00 0.00 H +ATOM 5294 N ILE A 344 -24.057 -46.938 24.627 1.00 0.00 N +ATOM 5295 CA ILE A 344 -23.551 -47.951 25.546 1.00 0.00 C +ATOM 5296 C ILE A 344 -23.514 -49.318 24.870 1.00 0.00 C +ATOM 5297 O ILE A 344 -22.469 -49.976 24.821 1.00 0.00 O +ATOM 5298 CB ILE A 344 -24.399 -47.985 26.829 1.00 0.00 C +ATOM 5299 CG1 ILE A 344 -24.201 -46.700 27.638 1.00 0.00 C +ATOM 5300 CG2 ILE A 344 -24.065 -49.221 27.652 1.00 0.00 C +ATOM 5301 CD1 ILE A 344 -22.783 -46.513 28.155 1.00 0.00 C +ATOM 5302 H ILE A 344 -24.984 -46.581 24.744 1.00 0.00 H +ATOM 5303 HA ILE A 344 -22.522 -47.687 25.831 1.00 0.00 H +ATOM 5304 HB ILE A 344 -25.457 -48.044 26.535 1.00 0.00 H +ATOM 5305 HG12 ILE A 344 -24.452 -45.843 26.995 1.00 0.00 H +ATOM 5306 HG13 ILE A 344 -24.884 -46.724 28.500 1.00 0.00 H +ATOM 5307 HG21 ILE A 344 -24.679 -49.231 28.565 1.00 0.00 H +ATOM 5308 HG22 ILE A 344 -24.275 -50.124 27.059 1.00 0.00 H +ATOM 5309 HG23 ILE A 344 -23.000 -49.202 27.926 1.00 0.00 H +ATOM 5310 HD11 ILE A 344 -22.720 -45.573 28.723 1.00 0.00 H +ATOM 5311 HD12 ILE A 344 -22.518 -47.356 28.810 1.00 0.00 H +ATOM 5312 HD13 ILE A 344 -22.085 -46.475 27.306 1.00 0.00 H +ATOM 5313 N MET A 345 -24.654 -49.759 24.328 1.00 0.00 N +ATOM 5314 CA MET A 345 -24.792 -51.144 23.882 1.00 0.00 C +ATOM 5315 C MET A 345 -23.824 -51.505 22.764 1.00 0.00 C +ATOM 5316 O MET A 345 -23.469 -52.679 22.613 1.00 0.00 O +ATOM 5317 CB MET A 345 -26.229 -51.411 23.429 1.00 0.00 C +ATOM 5318 CG MET A 345 -27.279 -51.231 24.516 1.00 0.00 C +ATOM 5319 SD MET A 345 -28.948 -51.713 24.026 1.00 0.00 S +ATOM 5320 CE MET A 345 -28.750 -53.468 23.724 1.00 0.00 C +ATOM 5321 H MET A 345 -25.425 -49.131 24.226 1.00 0.00 H +ATOM 5322 HA MET A 345 -24.582 -51.807 24.734 1.00 0.00 H +ATOM 5323 HB2 MET A 345 -26.464 -50.719 22.607 1.00 0.00 H +ATOM 5324 HB3 MET A 345 -26.287 -52.447 23.064 1.00 0.00 H +ATOM 5325 HG2 MET A 345 -26.985 -51.841 25.383 1.00 0.00 H +ATOM 5326 HG3 MET A 345 -27.298 -50.169 24.804 1.00 0.00 H +ATOM 5327 HE1 MET A 345 -29.644 -54.004 24.074 1.00 0.00 H +ATOM 5328 HE2 MET A 345 -28.617 -53.642 22.646 1.00 0.00 H +ATOM 5329 HE3 MET A 345 -27.866 -53.836 24.266 1.00 0.00 H +ATOM 5330 N GLU A 346 -23.389 -50.531 21.966 1.00 0.00 N +ATOM 5331 CA GLU A 346 -22.510 -50.871 20.853 1.00 0.00 C +ATOM 5332 C GLU A 346 -21.107 -51.252 21.303 1.00 0.00 C +ATOM 5333 O GLU A 346 -20.336 -51.792 20.499 1.00 0.00 O +ATOM 5334 CB GLU A 346 -22.450 -49.720 19.853 1.00 0.00 C +ATOM 5335 CG GLU A 346 -23.678 -49.650 18.968 1.00 0.00 C +ATOM 5336 CD GLU A 346 -23.690 -48.435 18.072 1.00 0.00 C +ATOM 5337 OE1 GLU A 346 -22.645 -47.760 17.970 1.00 0.00 O +ATOM 5338 OE2 GLU A 346 -24.751 -48.158 17.470 1.00 0.00 O1- +ATOM 5339 H GLU A 346 -23.661 -49.582 22.128 1.00 0.00 H +ATOM 5340 HA GLU A 346 -22.936 -51.740 20.330 1.00 0.00 H +ATOM 5341 HB2 GLU A 346 -22.362 -48.775 20.409 1.00 0.00 H +ATOM 5342 HB3 GLU A 346 -21.564 -49.854 19.215 1.00 0.00 H +ATOM 5343 HG2 GLU A 346 -23.708 -50.551 18.338 1.00 0.00 H +ATOM 5344 HG3 GLU A 346 -24.571 -49.622 19.609 1.00 0.00 H +ATOM 5345 N GLY A 347 -20.751 -50.984 22.560 1.00 0.00 N +ATOM 5346 CA GLY A 347 -19.487 -51.486 23.060 1.00 0.00 C +ATOM 5347 C GLY A 347 -19.529 -52.930 23.502 1.00 0.00 C +ATOM 5348 O GLY A 347 -18.471 -53.538 23.701 1.00 0.00 O +ATOM 5349 H GLY A 347 -21.350 -50.443 23.151 1.00 0.00 H +ATOM 5350 HA2 GLY A 347 -18.737 -51.391 22.261 1.00 0.00 H +ATOM 5351 HA3 GLY A 347 -19.186 -50.870 23.920 1.00 0.00 H +ATOM 5352 N PHE A 348 -20.726 -53.506 23.625 1.00 0.00 N +ATOM 5353 CA PHE A 348 -20.890 -54.724 24.399 1.00 0.00 C +ATOM 5354 C PHE A 348 -21.865 -55.698 23.755 1.00 0.00 C +ATOM 5355 O PHE A 348 -22.684 -55.345 22.903 1.00 0.00 O +ATOM 5356 CB PHE A 348 -21.361 -54.400 25.818 1.00 0.00 C +ATOM 5357 CG PHE A 348 -20.565 -53.313 26.470 1.00 0.00 C +ATOM 5358 CD1 PHE A 348 -19.274 -53.551 26.910 1.00 0.00 C +ATOM 5359 CD2 PHE A 348 -21.098 -52.046 26.623 1.00 0.00 C +ATOM 5360 CE1 PHE A 348 -18.535 -52.548 27.502 1.00 0.00 C +ATOM 5361 CE2 PHE A 348 -20.366 -51.040 27.216 1.00 0.00 C +ATOM 5362 CZ PHE A 348 -19.078 -51.291 27.654 1.00 0.00 C +ATOM 5363 H PHE A 348 -21.520 -53.094 23.179 1.00 0.00 H +ATOM 5364 HA PHE A 348 -19.914 -55.226 24.477 1.00 0.00 H +ATOM 5365 HB2 PHE A 348 -22.414 -54.084 25.773 1.00 0.00 H +ATOM 5366 HB3 PHE A 348 -21.277 -55.310 26.430 1.00 0.00 H +ATOM 5367 HD1 PHE A 348 -18.841 -54.533 26.788 1.00 0.00 H +ATOM 5368 HD2 PHE A 348 -22.100 -51.843 26.274 1.00 0.00 H +ATOM 5369 HE1 PHE A 348 -17.531 -52.748 27.846 1.00 0.00 H +ATOM 5370 HE2 PHE A 348 -20.797 -50.057 27.338 1.00 0.00 H +ATOM 5371 HZ PHE A 348 -18.500 -50.504 28.114 1.00 0.00 H +ATOM 5372 N TYR A 349 -21.724 -56.948 24.177 1.00 0.00 N +ATOM 5373 CA TYR A 349 -22.722 -57.989 23.997 1.00 0.00 C +ATOM 5374 C TYR A 349 -23.552 -58.015 25.274 1.00 0.00 C +ATOM 5375 O TYR A 349 -23.011 -58.240 26.363 1.00 0.00 O +ATOM 5376 CB TYR A 349 -22.040 -59.333 23.741 1.00 0.00 C +ATOM 5377 CG TYR A 349 -22.934 -60.500 23.377 1.00 0.00 C +ATOM 5378 CD1 TYR A 349 -24.065 -60.336 22.583 1.00 0.00 C +ATOM 5379 CD2 TYR A 349 -22.612 -61.783 23.797 1.00 0.00 C +ATOM 5380 CE1 TYR A 349 -24.860 -61.423 22.241 1.00 0.00 C +ATOM 5381 CE2 TYR A 349 -23.397 -62.869 23.462 1.00 0.00 C +ATOM 5382 CZ TYR A 349 -24.522 -62.685 22.686 1.00 0.00 C +ATOM 5383 OH TYR A 349 -25.297 -63.774 22.357 1.00 0.00 O +ATOM 5384 H TYR A 349 -20.876 -57.189 24.649 1.00 0.00 H +ATOM 5385 HA TYR A 349 -23.375 -57.747 23.145 1.00 0.00 H +ATOM 5386 HB2 TYR A 349 -21.327 -59.191 22.916 1.00 0.00 H +ATOM 5387 HB3 TYR A 349 -21.493 -59.607 24.655 1.00 0.00 H +ATOM 5388 HD1 TYR A 349 -24.328 -59.351 22.228 1.00 0.00 H +ATOM 5389 HD2 TYR A 349 -21.728 -61.936 24.399 1.00 0.00 H +ATOM 5390 HE1 TYR A 349 -25.739 -61.281 21.629 1.00 0.00 H +ATOM 5391 HE2 TYR A 349 -23.131 -63.857 23.806 1.00 0.00 H +ATOM 5392 HH TYR A 349 -26.181 -63.487 22.162 1.00 0.00 H +ATOM 5393 N VAL A 350 -24.847 -57.746 25.148 1.00 0.00 N +ATOM 5394 CA VAL A 350 -25.723 -57.528 26.294 1.00 0.00 C +ATOM 5395 C VAL A 350 -26.708 -58.686 26.372 1.00 0.00 C +ATOM 5396 O VAL A 350 -27.446 -58.950 25.414 1.00 0.00 O +ATOM 5397 CB VAL A 350 -26.452 -56.179 26.195 1.00 0.00 C +ATOM 5398 CG1 VAL A 350 -27.349 -55.968 27.405 1.00 0.00 C +ATOM 5399 CG2 VAL A 350 -25.448 -55.045 26.059 1.00 0.00 C +ATOM 5400 H VAL A 350 -25.238 -57.691 24.229 1.00 0.00 H +ATOM 5401 HA VAL A 350 -25.120 -57.525 27.214 1.00 0.00 H +ATOM 5402 HB VAL A 350 -27.083 -56.194 25.294 1.00 0.00 H +ATOM 5403 HG11 VAL A 350 -27.862 -54.999 27.317 1.00 0.00 H +ATOM 5404 HG12 VAL A 350 -28.095 -56.775 27.453 1.00 0.00 H +ATOM 5405 HG13 VAL A 350 -26.739 -55.978 28.320 1.00 0.00 H +ATOM 5406 HG21 VAL A 350 -25.984 -54.087 25.989 1.00 0.00 H +ATOM 5407 HG22 VAL A 350 -24.788 -55.033 26.939 1.00 0.00 H +ATOM 5408 HG23 VAL A 350 -24.846 -55.195 25.151 1.00 0.00 H +ATOM 5409 N VAL A 351 -26.736 -59.362 27.515 1.00 0.00 N +ATOM 5410 CA VAL A 351 -27.569 -60.542 27.713 1.00 0.00 C +ATOM 5411 C VAL A 351 -28.741 -60.154 28.602 1.00 0.00 C +ATOM 5412 O VAL A 351 -28.561 -59.828 29.779 1.00 0.00 O +ATOM 5413 CB VAL A 351 -26.769 -61.702 28.318 1.00 0.00 C +ATOM 5414 CG1 VAL A 351 -27.702 -62.857 28.659 1.00 0.00 C +ATOM 5415 CG2 VAL A 351 -25.693 -62.154 27.348 1.00 0.00 C +ATOM 5416 H VAL A 351 -26.162 -59.049 28.271 1.00 0.00 H +ATOM 5417 HA VAL A 351 -27.966 -60.870 26.741 1.00 0.00 H +ATOM 5418 HB VAL A 351 -26.288 -61.352 29.243 1.00 0.00 H +ATOM 5419 HG11 VAL A 351 -27.120 -63.684 29.092 1.00 0.00 H +ATOM 5420 HG12 VAL A 351 -28.454 -62.518 29.386 1.00 0.00 H +ATOM 5421 HG13 VAL A 351 -28.206 -63.203 27.745 1.00 0.00 H +ATOM 5422 HG21 VAL A 351 -25.125 -62.986 27.791 1.00 0.00 H +ATOM 5423 HG22 VAL A 351 -26.162 -62.488 26.411 1.00 0.00 H +ATOM 5424 HG23 VAL A 351 -25.012 -61.316 27.139 1.00 0.00 H +ATOM 5425 N PHE A 352 -29.945 -60.197 28.038 1.00 0.00 N +ATOM 5426 CA PHE A 352 -31.172 -59.950 28.792 1.00 0.00 C +ATOM 5427 C PHE A 352 -31.657 -61.295 29.315 1.00 0.00 C +ATOM 5428 O PHE A 352 -32.464 -61.981 28.689 1.00 0.00 O +ATOM 5429 CB PHE A 352 -32.212 -59.254 27.923 1.00 0.00 C +ATOM 5430 CG PHE A 352 -31.775 -57.906 27.425 1.00 0.00 C +ATOM 5431 CD1 PHE A 352 -30.929 -57.797 26.333 1.00 0.00 C +ATOM 5432 CD2 PHE A 352 -32.209 -56.748 28.047 1.00 0.00 C +ATOM 5433 CE1 PHE A 352 -30.525 -56.558 25.870 1.00 0.00 C +ATOM 5434 CE2 PHE A 352 -31.809 -55.504 27.585 1.00 0.00 C +ATOM 5435 CZ PHE A 352 -30.965 -55.412 26.496 1.00 0.00 C +ATOM 5436 H PHE A 352 -30.013 -60.406 27.062 1.00 0.00 H +ATOM 5437 HA PHE A 352 -30.946 -59.302 29.652 1.00 0.00 H +ATOM 5438 HB2 PHE A 352 -32.423 -59.894 27.054 1.00 0.00 H +ATOM 5439 HB3 PHE A 352 -33.130 -59.125 28.515 1.00 0.00 H +ATOM 5440 HD1 PHE A 352 -30.581 -58.691 25.837 1.00 0.00 H +ATOM 5441 HD2 PHE A 352 -32.866 -56.815 28.901 1.00 0.00 H +ATOM 5442 HE1 PHE A 352 -29.865 -56.489 25.018 1.00 0.00 H +ATOM 5443 HE2 PHE A 352 -32.157 -54.607 28.076 1.00 0.00 H +ATOM 5444 HZ PHE A 352 -30.650 -54.444 26.136 1.00 0.00 H +ATOM 5445 N ASP A 353 -31.138 -61.676 30.479 1.00 0.00 N +ATOM 5446 CA ASP A 353 -31.432 -62.966 31.101 1.00 0.00 C +ATOM 5447 C ASP A 353 -32.690 -62.799 31.941 1.00 0.00 C +ATOM 5448 O ASP A 353 -32.631 -62.543 33.143 1.00 0.00 O +ATOM 5449 CB ASP A 353 -30.244 -63.435 31.936 1.00 0.00 C +ATOM 5450 CG ASP A 353 -30.439 -64.819 32.527 1.00 0.00 C +ATOM 5451 OD1 ASP A 353 -31.548 -65.384 32.417 1.00 0.00 O +ATOM 5452 OD2 ASP A 353 -29.467 -65.350 33.105 1.00 0.00 O1- +ATOM 5453 H ASP A 353 -30.517 -61.050 30.951 1.00 0.00 H +ATOM 5454 HA ASP A 353 -31.628 -63.714 30.319 1.00 0.00 H +ATOM 5455 HB2 ASP A 353 -29.350 -63.451 31.295 1.00 0.00 H +ATOM 5456 HB3 ASP A 353 -30.092 -62.721 32.759 1.00 0.00 H +ATOM 5457 N ARG A 354 -33.849 -62.956 31.298 1.00 0.00 N +ATOM 5458 CA ARG A 354 -35.112 -62.781 32.007 1.00 0.00 C +ATOM 5459 C ARG A 354 -35.359 -63.903 33.011 1.00 0.00 C +ATOM 5460 O ARG A 354 -35.991 -63.681 34.050 1.00 0.00 O +ATOM 5461 CB ARG A 354 -36.263 -62.686 31.004 1.00 0.00 C +ATOM 5462 CG ARG A 354 -36.229 -61.437 30.138 1.00 0.00 C +ATOM 5463 CD ARG A 354 -36.859 -61.684 28.776 1.00 0.00 C +ATOM 5464 NE ARG A 354 -38.263 -62.084 28.853 1.00 0.00 N +ATOM 5465 CZ ARG A 354 -39.291 -61.245 28.759 1.00 0.00 C +ATOM 5466 NH1 ARG A 354 -39.083 -59.945 28.587 1.00 0.00 N +ATOM 5467 NH2 ARG A 354 -40.533 -61.706 28.834 1.00 0.00 N1+ +ATOM 5468 H ARG A 354 -33.852 -63.194 30.327 1.00 0.00 H +ATOM 5469 HA ARG A 354 -35.074 -61.833 32.564 1.00 0.00 H +ATOM 5470 HB2 ARG A 354 -36.220 -63.565 30.344 1.00 0.00 H +ATOM 5471 HB3 ARG A 354 -37.210 -62.693 31.563 1.00 0.00 H +ATOM 5472 HG2 ARG A 354 -36.782 -60.634 30.647 1.00 0.00 H +ATOM 5473 HG3 ARG A 354 -35.183 -61.129 29.997 1.00 0.00 H +ATOM 5474 HD2 ARG A 354 -36.792 -60.757 28.187 1.00 0.00 H +ATOM 5475 HD3 ARG A 354 -36.296 -62.482 28.270 1.00 0.00 H +ATOM 5476 HE ARG A 354 -38.464 -63.055 28.985 1.00 0.00 H +ATOM 5477 HH11 ARG A 354 -39.860 -59.320 28.515 1.00 0.00 H +ATOM 5478 HH12 ARG A 354 -38.149 -59.591 28.530 1.00 0.00 H +ATOM 5479 HH21 ARG A 354 -41.306 -61.075 28.761 1.00 0.00 H +ATOM 5480 HH22 ARG A 354 -40.696 -62.684 28.963 1.00 0.00 H +ATOM 5481 N ALA A 355 -34.872 -65.112 32.720 1.00 0.00 N +ATOM 5482 CA ALA A 355 -35.094 -66.236 33.626 1.00 0.00 C +ATOM 5483 C ALA A 355 -34.456 -65.992 34.989 1.00 0.00 C +ATOM 5484 O ALA A 355 -35.040 -66.327 36.026 1.00 0.00 O +ATOM 5485 CB ALA A 355 -34.555 -67.528 33.011 1.00 0.00 C +ATOM 5486 H ALA A 355 -34.352 -65.249 31.877 1.00 0.00 H +ATOM 5487 HA ALA A 355 -36.177 -66.360 33.776 1.00 0.00 H +ATOM 5488 HB1 ALA A 355 -34.729 -68.365 33.703 1.00 0.00 H +ATOM 5489 HB2 ALA A 355 -35.072 -67.725 32.061 1.00 0.00 H +ATOM 5490 HB3 ALA A 355 -33.476 -67.424 32.826 1.00 0.00 H +ATOM 5491 N ARG A 356 -33.262 -65.397 35.010 1.00 0.00 N +ATOM 5492 CA ARG A 356 -32.546 -65.133 36.253 1.00 0.00 C +ATOM 5493 C ARG A 356 -32.546 -63.651 36.624 1.00 0.00 C +ATOM 5494 O ARG A 356 -31.743 -63.228 37.463 1.00 0.00 O +ATOM 5495 CB ARG A 356 -31.116 -65.671 36.167 1.00 0.00 C +ATOM 5496 CG ARG A 356 -31.043 -67.189 36.022 1.00 0.00 C +ATOM 5497 CD ARG A 356 -29.611 -67.683 35.832 1.00 0.00 C +ATOM 5498 NE ARG A 356 -28.832 -67.683 37.070 1.00 0.00 N +ATOM 5499 CZ ARG A 356 -27.623 -68.225 37.187 1.00 0.00 C +ATOM 5500 NH1 ARG A 356 -27.054 -68.811 36.141 1.00 0.00 N +ATOM 5501 NH2 ARG A 356 -26.981 -68.187 38.347 1.00 0.00 N1+ +ATOM 5502 H ARG A 356 -32.844 -65.123 34.144 1.00 0.00 H +ATOM 5503 HA ARG A 356 -33.053 -65.675 37.065 1.00 0.00 H +ATOM 5504 HB2 ARG A 356 -30.624 -65.214 35.296 1.00 0.00 H +ATOM 5505 HB3 ARG A 356 -30.580 -65.383 37.083 1.00 0.00 H +ATOM 5506 HG2 ARG A 356 -31.460 -67.652 36.929 1.00 0.00 H +ATOM 5507 HG3 ARG A 356 -31.640 -67.490 35.149 1.00 0.00 H +ATOM 5508 HD2 ARG A 356 -29.645 -68.710 35.440 1.00 0.00 H +ATOM 5509 HD3 ARG A 356 -29.109 -67.029 35.103 1.00 0.00 H +ATOM 5510 HE ARG A 356 -29.233 -67.249 37.877 1.00 0.00 H +ATOM 5511 HH11 ARG A 356 -26.146 -69.221 36.230 1.00 0.00 H +ATOM 5512 HH12 ARG A 356 -27.533 -68.843 35.264 1.00 0.00 H +ATOM 5513 HH21 ARG A 356 -26.073 -68.599 38.430 1.00 0.00 H +ATOM 5514 HH22 ARG A 356 -27.405 -67.747 39.139 1.00 0.00 H +ATOM 5515 N LYS A 357 -33.436 -62.862 36.015 1.00 0.00 N +ATOM 5516 CA LYS A 357 -33.692 -61.473 36.410 1.00 0.00 C +ATOM 5517 C LYS A 357 -32.391 -60.677 36.536 1.00 0.00 C +ATOM 5518 O LYS A 357 -32.104 -60.050 37.560 1.00 0.00 O +ATOM 5519 CB LYS A 357 -34.501 -61.427 37.710 1.00 0.00 C +ATOM 5520 CG LYS A 357 -35.292 -60.138 37.944 1.00 0.00 C +ATOM 5521 CD LYS A 357 -36.098 -60.220 39.237 1.00 0.00 C +ATOM 5522 CE LYS A 357 -36.776 -58.897 39.570 1.00 0.00 C +ATOM 5523 NZ LYS A 357 -37.530 -58.949 40.858 1.00 0.00 N1+ +ATOM 5524 H LYS A 357 -33.956 -63.239 35.248 1.00 0.00 H +ATOM 5525 HA LYS A 357 -34.298 -60.996 35.625 1.00 0.00 H +ATOM 5526 HB2 LYS A 357 -35.214 -62.265 37.696 1.00 0.00 H +ATOM 5527 HB3 LYS A 357 -33.802 -61.554 38.550 1.00 0.00 H +ATOM 5528 HG2 LYS A 357 -34.591 -59.292 38.009 1.00 0.00 H +ATOM 5529 HG3 LYS A 357 -35.980 -59.980 37.100 1.00 0.00 H +ATOM 5530 HD2 LYS A 357 -36.869 -60.997 39.126 1.00 0.00 H +ATOM 5531 HD3 LYS A 357 -35.421 -60.490 40.061 1.00 0.00 H +ATOM 5532 HE2 LYS A 357 -36.006 -58.115 39.643 1.00 0.00 H +ATOM 5533 HE3 LYS A 357 -37.477 -58.646 38.761 1.00 0.00 H +ATOM 5534 HZ1 LYS A 357 -38.054 -58.105 40.972 1.00 0.00 H +ATOM 5535 HZ2 LYS A 357 -38.154 -59.730 40.847 1.00 0.00 H +ATOM 5536 HZ3 LYS A 357 -36.887 -59.047 41.617 1.00 0.00 H +ATOM 5537 N ARG A 358 -31.593 -60.719 35.473 1.00 0.00 N +ATOM 5538 CA ARG A 358 -30.295 -60.066 35.461 1.00 0.00 C +ATOM 5539 C ARG A 358 -29.951 -59.696 34.027 1.00 0.00 C +ATOM 5540 O ARG A 358 -30.515 -60.241 33.074 1.00 0.00 O +ATOM 5541 CB ARG A 358 -29.209 -60.969 36.061 1.00 0.00 C +ATOM 5542 CG ARG A 358 -29.041 -62.286 35.311 1.00 0.00 C +ATOM 5543 CD ARG A 358 -28.029 -63.221 35.968 1.00 0.00 C +ATOM 5544 NE ARG A 358 -27.720 -64.370 35.117 1.00 0.00 N +ATOM 5545 CZ ARG A 358 -26.749 -65.248 35.356 1.00 0.00 C +ATOM 5546 NH1 ARG A 358 -25.976 -65.117 36.427 1.00 0.00 N +ATOM 5547 NH2 ARG A 358 -26.546 -66.257 34.517 1.00 0.00 N1+ +ATOM 5548 H ARG A 358 -31.895 -61.214 34.658 1.00 0.00 H +ATOM 5549 HA ARG A 358 -30.345 -59.143 36.057 1.00 0.00 H +ATOM 5550 HB2 ARG A 358 -28.251 -60.428 36.036 1.00 0.00 H +ATOM 5551 HB3 ARG A 358 -29.477 -61.193 37.104 1.00 0.00 H +ATOM 5552 HG2 ARG A 358 -30.015 -62.795 35.273 1.00 0.00 H +ATOM 5553 HG3 ARG A 358 -28.702 -62.066 34.288 1.00 0.00 H +ATOM 5554 HD2 ARG A 358 -27.102 -62.662 36.162 1.00 0.00 H +ATOM 5555 HD3 ARG A 358 -28.445 -63.584 36.919 1.00 0.00 H +ATOM 5556 HE ARG A 358 -28.278 -64.505 34.298 1.00 0.00 H +ATOM 5557 HH11 ARG A 358 -25.244 -65.777 36.599 1.00 0.00 H +ATOM 5558 HH12 ARG A 358 -26.125 -64.359 37.062 1.00 0.00 H +ATOM 5559 HH21 ARG A 358 -25.813 -66.914 34.693 1.00 0.00 H +ATOM 5560 HH22 ARG A 358 -27.126 -66.360 33.709 1.00 0.00 H +ATOM 5561 N ILE A 359 -29.023 -58.754 33.882 1.00 0.00 N +ATOM 5562 CA ILE A 359 -28.551 -58.294 32.578 1.00 0.00 C +ATOM 5563 C ILE A 359 -27.033 -58.432 32.538 1.00 0.00 C +ATOM 5564 O ILE A 359 -26.330 -57.841 33.370 1.00 0.00 O +ATOM 5565 CB ILE A 359 -28.967 -56.844 32.288 1.00 0.00 C +ATOM 5566 CG1 ILE A 359 -30.481 -56.711 32.181 1.00 0.00 C +ATOM 5567 CG2 ILE A 359 -28.337 -56.367 31.001 1.00 0.00 C +ATOM 5568 CD1 ILE A 359 -30.922 -55.321 31.763 1.00 0.00 C +ATOM 5569 H ILE A 359 -28.630 -58.341 34.704 1.00 0.00 H +ATOM 5570 HA ILE A 359 -28.977 -58.936 31.793 1.00 0.00 H +ATOM 5571 HB ILE A 359 -28.615 -56.208 33.113 1.00 0.00 H +ATOM 5572 HG12 ILE A 359 -30.845 -57.434 31.436 1.00 0.00 H +ATOM 5573 HG13 ILE A 359 -30.924 -56.940 33.161 1.00 0.00 H +ATOM 5574 HG21 ILE A 359 -28.643 -55.329 30.805 1.00 0.00 H +ATOM 5575 HG22 ILE A 359 -27.242 -56.416 31.089 1.00 0.00 H +ATOM 5576 HG23 ILE A 359 -28.668 -57.009 30.171 1.00 0.00 H +ATOM 5577 HD11 ILE A 359 -32.020 -55.287 31.703 1.00 0.00 H +ATOM 5578 HD12 ILE A 359 -30.572 -54.587 32.504 1.00 0.00 H +ATOM 5579 HD13 ILE A 359 -30.494 -55.081 30.779 1.00 0.00 H +ATOM 5580 N GLY A 360 -26.530 -59.191 31.567 1.00 0.00 N +ATOM 5581 CA GLY A 360 -25.101 -59.423 31.442 1.00 0.00 C +ATOM 5582 C GLY A 360 -24.464 -58.515 30.406 1.00 0.00 C +ATOM 5583 O GLY A 360 -25.080 -58.162 29.403 1.00 0.00 O +ATOM 5584 H GLY A 360 -27.152 -59.612 30.907 1.00 0.00 H +ATOM 5585 HA2 GLY A 360 -24.625 -59.238 32.416 1.00 0.00 H +ATOM 5586 HA3 GLY A 360 -24.936 -60.470 31.146 1.00 0.00 H +ATOM 5587 N PHE A 361 -23.212 -58.147 30.669 1.00 0.00 N +ATOM 5588 CA PHE A 361 -22.409 -57.322 29.781 1.00 0.00 C +ATOM 5589 C PHE A 361 -21.072 -58.003 29.538 1.00 0.00 C +ATOM 5590 O PHE A 361 -20.482 -58.580 30.459 1.00 0.00 O +ATOM 5591 CB PHE A 361 -22.164 -55.928 30.373 1.00 0.00 C +ATOM 5592 CG PHE A 361 -23.402 -55.093 30.511 1.00 0.00 C +ATOM 5593 CD1 PHE A 361 -24.251 -55.262 31.590 1.00 0.00 C +ATOM 5594 CD2 PHE A 361 -23.706 -54.125 29.571 1.00 0.00 C +ATOM 5595 CE1 PHE A 361 -25.394 -54.488 31.718 1.00 0.00 C +ATOM 5596 CE2 PHE A 361 -24.837 -53.347 29.695 1.00 0.00 C +ATOM 5597 CZ PHE A 361 -25.684 -53.530 30.770 1.00 0.00 C +ATOM 5598 H PHE A 361 -22.800 -58.456 31.526 1.00 0.00 H +ATOM 5599 HA PHE A 361 -22.926 -57.206 28.817 1.00 0.00 H +ATOM 5600 HB2 PHE A 361 -21.717 -56.050 31.371 1.00 0.00 H +ATOM 5601 HB3 PHE A 361 -21.459 -55.394 29.719 1.00 0.00 H +ATOM 5602 HD1 PHE A 361 -24.021 -56.004 32.340 1.00 0.00 H +ATOM 5603 HD2 PHE A 361 -23.048 -53.977 28.728 1.00 0.00 H +ATOM 5604 HE1 PHE A 361 -26.056 -54.635 32.559 1.00 0.00 H +ATOM 5605 HE2 PHE A 361 -25.060 -52.595 28.952 1.00 0.00 H +ATOM 5606 HZ PHE A 361 -26.572 -52.924 30.868 1.00 0.00 H +ATOM 5607 N ALA A 362 -20.598 -57.932 28.299 1.00 0.00 N +ATOM 5608 CA ALA A 362 -19.283 -58.440 27.951 1.00 0.00 C +ATOM 5609 C ALA A 362 -18.767 -57.629 26.776 1.00 0.00 C +ATOM 5610 O ALA A 362 -19.542 -57.050 26.009 1.00 0.00 O +ATOM 5611 CB ALA A 362 -19.316 -59.935 27.617 1.00 0.00 C +ATOM 5612 H ALA A 362 -21.163 -57.517 27.586 1.00 0.00 H +ATOM 5613 HA ALA A 362 -18.600 -58.292 28.801 1.00 0.00 H +ATOM 5614 HB1 ALA A 362 -18.302 -60.276 27.360 1.00 0.00 H +ATOM 5615 HB2 ALA A 362 -19.682 -60.497 28.489 1.00 0.00 H +ATOM 5616 HB3 ALA A 362 -19.987 -60.105 26.763 1.00 0.00 H +ATOM 5617 N VAL A 363 -17.442 -57.572 26.661 1.00 0.00 N +ATOM 5618 CA VAL A 363 -16.819 -56.848 25.560 1.00 0.00 C +ATOM 5619 C VAL A 363 -17.290 -57.438 24.247 1.00 0.00 C +ATOM 5620 O VAL A 363 -17.080 -58.632 23.977 1.00 0.00 O +ATOM 5621 CB VAL A 363 -15.294 -56.902 25.667 1.00 0.00 C +ATOM 5622 CG1 VAL A 363 -14.672 -56.313 24.412 1.00 0.00 C +ATOM 5623 CG2 VAL A 363 -14.826 -56.165 26.909 1.00 0.00 C +ATOM 5624 H VAL A 363 -16.867 -58.031 27.338 1.00 0.00 H +ATOM 5625 HA VAL A 363 -17.130 -55.794 25.599 1.00 0.00 H +ATOM 5626 HB VAL A 363 -14.988 -57.956 25.748 1.00 0.00 H +ATOM 5627 HG11 VAL A 363 -13.576 -56.353 24.492 1.00 0.00 H +ATOM 5628 HG12 VAL A 363 -14.997 -56.892 23.535 1.00 0.00 H +ATOM 5629 HG13 VAL A 363 -14.993 -55.267 24.300 1.00 0.00 H +ATOM 5630 HG21 VAL A 363 -13.729 -56.212 26.972 1.00 0.00 H +ATOM 5631 HG22 VAL A 363 -15.145 -55.114 26.853 1.00 0.00 H +ATOM 5632 HG23 VAL A 363 -15.265 -56.635 27.801 1.00 0.00 H +ATOM 5633 N SER A 364 -17.934 -56.623 23.418 1.00 0.00 N +ATOM 5634 CA SER A 364 -18.432 -57.096 22.136 1.00 0.00 C +ATOM 5635 C SER A 364 -17.281 -57.419 21.196 1.00 0.00 C +ATOM 5636 O SER A 364 -16.324 -56.654 21.079 1.00 0.00 O +ATOM 5637 CB SER A 364 -19.338 -56.051 21.491 1.00 0.00 C +ATOM 5638 OG SER A 364 -19.576 -56.354 20.127 1.00 0.00 O +ATOM 5639 H SER A 364 -18.079 -55.669 23.680 1.00 0.00 H +ATOM 5640 HA SER A 364 -19.019 -58.013 22.292 1.00 0.00 H +ATOM 5641 HB2 SER A 364 -20.298 -56.028 22.027 1.00 0.00 H +ATOM 5642 HB3 SER A 364 -18.856 -55.065 21.561 1.00 0.00 H +ATOM 5643 HG SER A 364 -20.487 -56.184 19.919 1.00 0.00 H +ATOM 5644 N ALA A 365 -17.391 -58.548 20.502 1.00 0.00 N +ATOM 5645 CA ALA A 365 -16.382 -58.929 19.522 1.00 0.00 C +ATOM 5646 C ALA A 365 -16.424 -58.101 18.242 1.00 0.00 C +ATOM 5647 O ALA A 365 -15.526 -58.251 17.409 1.00 0.00 O +ATOM 5648 CB ALA A 365 -16.521 -60.408 19.154 1.00 0.00 C +ATOM 5649 H ALA A 365 -18.178 -59.145 20.655 1.00 0.00 H +ATOM 5650 HA ALA A 365 -15.389 -58.792 19.974 1.00 0.00 H +ATOM 5651 HB1 ALA A 365 -15.752 -60.676 18.414 1.00 0.00 H +ATOM 5652 HB2 ALA A 365 -16.392 -61.024 20.056 1.00 0.00 H +ATOM 5653 HB3 ALA A 365 -17.519 -60.587 18.727 1.00 0.00 H +ATOM 5654 N CYS A 366 -17.435 -57.256 18.040 1.00 0.00 N +ATOM 5655 CA CYS A 366 -17.518 -56.467 16.817 1.00 0.00 C +ATOM 5656 C CYS A 366 -17.422 -54.969 17.059 1.00 0.00 C +ATOM 5657 O CYS A 366 -17.631 -54.194 16.120 1.00 0.00 O +ATOM 5658 CB CYS A 366 -18.817 -56.772 16.054 1.00 0.00 C +ATOM 5659 SG CYS A 366 -20.315 -56.096 16.805 1.00 0.00 S +ATOM 5660 H CYS A 366 -18.146 -57.162 18.737 1.00 0.00 H +ATOM 5661 HA CYS A 366 -16.680 -56.752 16.164 1.00 0.00 H +ATOM 5662 HB2 CYS A 366 -18.724 -56.355 15.040 1.00 0.00 H +ATOM 5663 HB3 CYS A 366 -18.929 -57.865 15.992 1.00 0.00 H +ATOM 5664 N HIS A 367 -17.095 -54.540 18.274 1.00 0.00 N +ATOM 5665 CA HIS A 367 -17.195 -53.126 18.599 1.00 0.00 C +ATOM 5666 C HIS A 367 -16.067 -52.332 17.948 1.00 0.00 C +ATOM 5667 O HIS A 367 -14.954 -52.827 17.739 1.00 0.00 O +ATOM 5668 CB HIS A 367 -17.192 -52.914 20.114 1.00 0.00 C +ATOM 5669 CG HIS A 367 -15.835 -52.990 20.740 1.00 0.00 C +ATOM 5670 ND1 HIS A 367 -15.286 -54.170 21.192 1.00 0.00 N +ATOM 5671 CD2 HIS A 367 -14.922 -52.026 21.006 1.00 0.00 C +ATOM 5672 CE1 HIS A 367 -14.091 -53.932 21.702 1.00 0.00 C +ATOM 5673 NE2 HIS A 367 -13.847 -52.638 21.602 1.00 0.00 N +ATOM 5674 H HIS A 367 -16.780 -55.190 18.965 1.00 0.00 H +ATOM 5675 HA HIS A 367 -18.148 -52.740 18.208 1.00 0.00 H +ATOM 5676 HB2 HIS A 367 -17.614 -51.920 20.324 1.00 0.00 H +ATOM 5677 HB3 HIS A 367 -17.827 -53.687 20.572 1.00 0.00 H +ATOM 5678 HD1 HIS A 367 -15.724 -55.068 21.142 1.00 0.00 H +ATOM 5679 HD2 HIS A 367 -15.021 -50.972 20.790 1.00 0.00 H +ATOM 5680 HE1 HIS A 367 -13.427 -54.670 22.128 1.00 0.00 H +ATOM 5681 N VAL A 368 -16.382 -51.082 17.613 1.00 0.00 N +ATOM 5682 CA VAL A 368 -15.436 -50.203 16.938 1.00 0.00 C +ATOM 5683 C VAL A 368 -14.413 -49.693 17.941 1.00 0.00 C +ATOM 5684 O VAL A 368 -14.770 -49.183 19.012 1.00 0.00 O +ATOM 5685 CB VAL A 368 -16.178 -49.039 16.263 1.00 0.00 C +ATOM 5686 CG1 VAL A 368 -15.200 -48.117 15.559 1.00 0.00 C +ATOM 5687 CG2 VAL A 368 -17.233 -49.568 15.297 1.00 0.00 C +ATOM 5688 H VAL A 368 -17.295 -50.736 17.831 1.00 0.00 H +ATOM 5689 HA VAL A 368 -14.906 -50.771 16.159 1.00 0.00 H +ATOM 5690 HB VAL A 368 -16.691 -48.463 17.047 1.00 0.00 H +ATOM 5691 HG11 VAL A 368 -15.750 -47.292 15.083 1.00 0.00 H +ATOM 5692 HG12 VAL A 368 -14.489 -47.708 16.292 1.00 0.00 H +ATOM 5693 HG13 VAL A 368 -14.651 -48.682 14.791 1.00 0.00 H +ATOM 5694 HG21 VAL A 368 -17.754 -48.723 14.823 1.00 0.00 H +ATOM 5695 HG22 VAL A 368 -16.747 -50.180 14.523 1.00 0.00 H +ATOM 5696 HG23 VAL A 368 -17.959 -50.183 15.848 1.00 0.00 H +ATOM 5697 N HIS A 369 -13.133 -49.823 17.604 1.00 0.00 N +ATOM 5698 CA HIS A 369 -12.070 -49.264 18.427 1.00 0.00 C +ATOM 5699 C HIS A 369 -10.825 -49.066 17.571 1.00 0.00 C +ATOM 5700 O HIS A 369 -10.832 -49.304 16.360 1.00 0.00 O +ATOM 5701 CB HIS A 369 -11.785 -50.157 19.637 1.00 0.00 C +ATOM 5702 CG HIS A 369 -11.311 -51.530 19.278 1.00 0.00 C +ATOM 5703 ND1 HIS A 369 -12.172 -52.549 18.932 1.00 0.00 N +ATOM 5704 CD2 HIS A 369 -10.064 -52.055 19.221 1.00 0.00 C +ATOM 5705 CE1 HIS A 369 -11.476 -53.642 18.673 1.00 0.00 C +ATOM 5706 NE2 HIS A 369 -10.195 -53.370 18.845 1.00 0.00 N +ATOM 5707 H HIS A 369 -12.895 -50.316 16.767 1.00 0.00 H +ATOM 5708 HA HIS A 369 -12.388 -48.279 18.799 1.00 0.00 H +ATOM 5709 HB2 HIS A 369 -11.011 -49.673 20.250 1.00 0.00 H +ATOM 5710 HB3 HIS A 369 -12.711 -50.252 20.223 1.00 0.00 H +ATOM 5711 HD1 HIS A 369 -13.168 -52.473 18.884 1.00 0.00 H +ATOM 5712 HD2 HIS A 369 -9.140 -51.537 19.432 1.00 0.00 H +ATOM 5713 HE1 HIS A 369 -11.885 -54.595 18.372 1.00 0.00 H +ATOM 5714 N ASP A 370 -9.750 -48.619 18.213 1.00 0.00 N +ATOM 5715 CA ASP A 370 -8.477 -48.372 17.555 1.00 0.00 C +ATOM 5716 C ASP A 370 -7.415 -49.324 18.100 1.00 0.00 C +ATOM 5717 O ASP A 370 -7.681 -50.176 18.955 1.00 0.00 O +ATOM 5718 CB ASP A 370 -8.055 -46.908 17.717 1.00 0.00 C +ATOM 5719 CG ASP A 370 -7.966 -46.476 19.169 1.00 0.00 C +ATOM 5720 OD1 ASP A 370 -7.057 -46.948 19.886 1.00 0.00 O +ATOM 5721 OD2 ASP A 370 -8.800 -45.646 19.593 1.00 0.00 O1- +ATOM 5722 H ASP A 370 -9.820 -48.444 19.195 1.00 0.00 H +ATOM 5723 HA ASP A 370 -8.590 -48.572 16.479 1.00 0.00 H +ATOM 5724 HB2 ASP A 370 -7.068 -46.773 17.250 1.00 0.00 H +ATOM 5725 HB3 ASP A 370 -8.792 -46.272 17.206 1.00 0.00 H +ATOM 5726 N GLU A 371 -6.190 -49.165 17.594 1.00 0.00 N +ATOM 5727 CA GLU A 371 -5.135 -50.121 17.910 1.00 0.00 C +ATOM 5728 C GLU A 371 -4.759 -50.100 19.384 1.00 0.00 C +ATOM 5729 O GLU A 371 -4.238 -51.093 19.900 1.00 0.00 O +ATOM 5730 CB GLU A 371 -3.903 -49.847 17.049 1.00 0.00 C +ATOM 5731 CG GLU A 371 -4.059 -50.240 15.588 1.00 0.00 C +ATOM 5732 CD GLU A 371 -2.774 -50.082 14.802 1.00 0.00 C +ATOM 5733 OE1 GLU A 371 -1.887 -49.327 15.251 1.00 0.00 O +ATOM 5734 OE2 GLU A 371 -2.649 -50.719 13.735 1.00 0.00 O1- +ATOM 5735 H GLU A 371 -5.995 -48.388 16.996 1.00 0.00 H +ATOM 5736 HA GLU A 371 -5.494 -51.132 17.669 1.00 0.00 H +ATOM 5737 HB2 GLU A 371 -3.684 -48.770 17.094 1.00 0.00 H +ATOM 5738 HB3 GLU A 371 -3.057 -50.411 17.469 1.00 0.00 H +ATOM 5739 HG2 GLU A 371 -4.375 -51.292 15.538 1.00 0.00 H +ATOM 5740 HG3 GLU A 371 -4.831 -49.603 15.132 1.00 0.00 H +ATOM 5741 N PHE A 372 -5.037 -49.001 20.082 1.00 0.00 N +ATOM 5742 CA PHE A 372 -4.506 -48.800 21.420 1.00 0.00 C +ATOM 5743 C PHE A 372 -5.549 -48.805 22.526 1.00 0.00 C +ATOM 5744 O PHE A 372 -5.176 -48.959 23.691 1.00 0.00 O +ATOM 5745 CB PHE A 372 -3.712 -47.488 21.473 1.00 0.00 C +ATOM 5746 CG PHE A 372 -2.592 -47.430 20.471 1.00 0.00 C +ATOM 5747 CD1 PHE A 372 -1.464 -48.220 20.631 1.00 0.00 C +ATOM 5748 CD2 PHE A 372 -2.672 -46.600 19.363 1.00 0.00 C +ATOM 5749 CE1 PHE A 372 -0.435 -48.181 19.712 1.00 0.00 C +ATOM 5750 CE2 PHE A 372 -1.642 -46.557 18.440 1.00 0.00 C +ATOM 5751 CZ PHE A 372 -0.522 -47.349 18.617 1.00 0.00 C +ATOM 5752 H PHE A 372 -5.623 -48.299 19.677 1.00 0.00 H +ATOM 5753 HA PHE A 372 -3.799 -49.615 21.633 1.00 0.00 H +ATOM 5754 HB2 PHE A 372 -4.402 -46.654 21.275 1.00 0.00 H +ATOM 5755 HB3 PHE A 372 -3.285 -47.379 22.481 1.00 0.00 H +ATOM 5756 HD1 PHE A 372 -1.390 -48.875 21.486 1.00 0.00 H +ATOM 5757 HD2 PHE A 372 -3.546 -45.982 19.219 1.00 0.00 H +ATOM 5758 HE1 PHE A 372 0.438 -48.802 19.851 1.00 0.00 H +ATOM 5759 HE2 PHE A 372 -1.713 -45.905 17.582 1.00 0.00 H +ATOM 5760 HZ PHE A 372 0.283 -47.315 17.898 1.00 0.00 H +ATOM 5761 N ARG A 373 -6.829 -48.652 22.207 1.00 0.00 N +ATOM 5762 CA ARG A 373 -7.872 -48.720 23.217 1.00 0.00 C +ATOM 5763 C ARG A 373 -8.991 -49.640 22.755 1.00 0.00 C +ATOM 5764 O ARG A 373 -9.295 -49.727 21.563 1.00 0.00 O +ATOM 5765 CB ARG A 373 -8.442 -47.331 23.544 1.00 0.00 C +ATOM 5766 CG ARG A 373 -7.768 -46.670 24.722 1.00 0.00 C +ATOM 5767 CD ARG A 373 -8.592 -45.532 25.282 1.00 0.00 C +ATOM 5768 NE ARG A 373 -9.055 -44.614 24.248 1.00 0.00 N +ATOM 5769 CZ ARG A 373 -9.205 -43.308 24.434 1.00 0.00 C +ATOM 5770 NH1 ARG A 373 -8.914 -42.771 25.612 1.00 0.00 N +ATOM 5771 NH2 ARG A 373 -9.634 -42.538 23.443 1.00 0.00 N1+ +ATOM 5772 H ARG A 373 -7.080 -48.487 21.253 1.00 0.00 H +ATOM 5773 HA ARG A 373 -7.447 -49.137 24.142 1.00 0.00 H +ATOM 5774 HB2 ARG A 373 -8.316 -46.686 22.662 1.00 0.00 H +ATOM 5775 HB3 ARG A 373 -9.513 -47.438 23.770 1.00 0.00 H +ATOM 5776 HG2 ARG A 373 -7.617 -47.421 25.512 1.00 0.00 H +ATOM 5777 HG3 ARG A 373 -6.793 -46.277 24.398 1.00 0.00 H +ATOM 5778 HD2 ARG A 373 -9.468 -45.952 25.798 1.00 0.00 H +ATOM 5779 HD3 ARG A 373 -7.976 -44.972 26.001 1.00 0.00 H +ATOM 5780 HE ARG A 373 -9.272 -44.990 23.347 1.00 0.00 H +ATOM 5781 HH11 ARG A 373 -9.018 -41.786 25.752 1.00 0.00 H +ATOM 5782 HH12 ARG A 373 -8.590 -43.351 26.360 1.00 0.00 H +ATOM 5783 HH21 ARG A 373 -9.738 -41.553 23.584 1.00 0.00 H +ATOM 5784 HH22 ARG A 373 -9.854 -42.942 22.555 1.00 0.00 H +ATOM 5785 N THR A 374 -9.581 -50.353 23.711 1.00 0.00 N +ATOM 5786 CA THR A 374 -10.766 -51.162 23.470 1.00 0.00 C +ATOM 5787 C THR A 374 -11.800 -50.856 24.542 1.00 0.00 C +ATOM 5788 O THR A 374 -11.491 -50.273 25.584 1.00 0.00 O +ATOM 5789 CB THR A 374 -10.468 -52.675 23.478 1.00 0.00 C +ATOM 5790 OG1 THR A 374 -9.971 -53.067 24.765 1.00 0.00 O +ATOM 5791 CG2 THR A 374 -9.457 -53.045 22.406 1.00 0.00 C +ATOM 5792 H THR A 374 -9.194 -50.332 24.633 1.00 0.00 H +ATOM 5793 HA THR A 374 -11.192 -50.901 22.490 1.00 0.00 H +ATOM 5794 HB THR A 374 -11.406 -53.209 23.268 1.00 0.00 H +ATOM 5795 HG1 THR A 374 -10.693 -53.360 25.308 1.00 0.00 H +ATOM 5796 HG21 THR A 374 -9.267 -54.128 22.438 1.00 0.00 H +ATOM 5797 HG22 THR A 374 -9.855 -52.772 21.417 1.00 0.00 H +ATOM 5798 HG23 THR A 374 -8.517 -52.502 22.586 1.00 0.00 H +ATOM 5799 N ALA A 375 -13.041 -51.248 24.272 1.00 0.00 N +ATOM 5800 CA ALA A 375 -14.063 -51.210 25.302 1.00 0.00 C +ATOM 5801 C ALA A 375 -13.778 -52.321 26.307 1.00 0.00 C +ATOM 5802 O ALA A 375 -13.078 -53.290 26.012 1.00 0.00 O +ATOM 5803 CB ALA A 375 -15.459 -51.364 24.694 1.00 0.00 C +ATOM 5804 H ALA A 375 -13.272 -51.571 23.354 1.00 0.00 H +ATOM 5805 HA ALA A 375 -14.018 -50.245 25.827 1.00 0.00 H +ATOM 5806 HB1 ALA A 375 -16.213 -51.332 25.494 1.00 0.00 H +ATOM 5807 HB2 ALA A 375 -15.642 -50.544 23.984 1.00 0.00 H +ATOM 5808 HB3 ALA A 375 -15.525 -52.327 24.167 1.00 0.00 H +ATOM 5809 N ALA A 376 -14.307 -52.173 27.516 1.00 0.00 N +ATOM 5810 CA ALA A 376 -13.915 -53.080 28.583 1.00 0.00 C +ATOM 5811 C ALA A 376 -15.068 -53.352 29.533 1.00 0.00 C +ATOM 5812 O ALA A 376 -15.944 -52.512 29.743 1.00 0.00 O +ATOM 5813 CB ALA A 376 -12.724 -52.532 29.387 1.00 0.00 C +ATOM 5814 H ALA A 376 -14.969 -51.444 27.691 1.00 0.00 H +ATOM 5815 HA ALA A 376 -13.607 -54.038 28.139 1.00 0.00 H +ATOM 5816 HB1 ALA A 376 -12.459 -53.244 30.182 1.00 0.00 H +ATOM 5817 HB2 ALA A 376 -11.863 -52.393 28.717 1.00 0.00 H +ATOM 5818 HB3 ALA A 376 -12.999 -51.567 29.837 1.00 0.00 H +ATOM 5819 N VAL A 377 -15.044 -54.553 30.100 1.00 0.00 N +ATOM 5820 CA VAL A 377 -15.902 -54.952 31.206 1.00 0.00 C +ATOM 5821 C VAL A 377 -15.003 -55.615 32.240 1.00 0.00 C +ATOM 5822 O VAL A 377 -14.378 -56.642 31.952 1.00 0.00 O +ATOM 5823 CB VAL A 377 -17.015 -55.911 30.759 1.00 0.00 C +ATOM 5824 CG1 VAL A 377 -17.917 -56.245 31.924 1.00 0.00 C +ATOM 5825 CG2 VAL A 377 -17.814 -55.300 29.618 1.00 0.00 C +ATOM 5826 H VAL A 377 -14.395 -55.226 29.744 1.00 0.00 H +ATOM 5827 HA VAL A 377 -16.365 -54.062 31.657 1.00 0.00 H +ATOM 5828 HB VAL A 377 -16.547 -56.839 30.399 1.00 0.00 H +ATOM 5829 HG11 VAL A 377 -18.709 -56.932 31.590 1.00 0.00 H +ATOM 5830 HG12 VAL A 377 -17.327 -56.725 32.719 1.00 0.00 H +ATOM 5831 HG13 VAL A 377 -18.372 -55.322 32.312 1.00 0.00 H +ATOM 5832 HG21 VAL A 377 -18.606 -55.998 29.309 1.00 0.00 H +ATOM 5833 HG22 VAL A 377 -18.268 -54.355 29.953 1.00 0.00 H +ATOM 5834 HG23 VAL A 377 -17.146 -55.104 28.766 1.00 0.00 H +ATOM 5835 N GLU A 378 -14.916 -55.019 33.427 1.00 0.00 N +ATOM 5836 CA GLU A 378 -13.992 -55.482 34.452 1.00 0.00 C +ATOM 5837 C GLU A 378 -14.684 -55.536 35.805 1.00 0.00 C +ATOM 5838 O GLU A 378 -15.617 -54.776 36.080 1.00 0.00 O +ATOM 5839 CB GLU A 378 -12.753 -54.575 34.544 1.00 0.00 C +ATOM 5840 CG GLU A 378 -11.966 -54.443 33.246 1.00 0.00 C +ATOM 5841 CD GLU A 378 -11.194 -55.701 32.887 1.00 0.00 C +ATOM 5842 OE1 GLU A 378 -10.993 -56.559 33.772 1.00 0.00 O +ATOM 5843 OE2 GLU A 378 -10.782 -55.828 31.715 1.00 0.00 O1- +ATOM 5844 H GLU A 378 -15.502 -54.232 33.620 1.00 0.00 H +ATOM 5845 HA GLU A 378 -13.653 -56.497 34.198 1.00 0.00 H +ATOM 5846 HB2 GLU A 378 -13.084 -53.571 34.848 1.00 0.00 H +ATOM 5847 HB3 GLU A 378 -12.082 -54.988 35.312 1.00 0.00 H +ATOM 5848 HG2 GLU A 378 -12.670 -54.220 32.431 1.00 0.00 H +ATOM 5849 HG3 GLU A 378 -11.252 -53.613 33.352 1.00 0.00 H +ATOM 5850 N GLY A 379 -14.205 -56.442 36.652 1.00 0.00 N +ATOM 5851 CA GLY A 379 -14.724 -56.601 37.991 1.00 0.00 C +ATOM 5852 C GLY A 379 -13.958 -57.661 38.758 1.00 0.00 C +ATOM 5853 O GLY A 379 -13.096 -58.353 38.205 1.00 0.00 O +ATOM 5854 H GLY A 379 -13.458 -57.035 36.351 1.00 0.00 H +ATOM 5855 HA2 GLY A 379 -14.640 -55.642 38.524 1.00 0.00 H +ATOM 5856 HA3 GLY A 379 -15.782 -56.896 37.932 1.00 0.00 H +ATOM 5857 N PRO A 380 -14.259 -57.824 40.056 1.00 0.00 N +ATOM 5858 CA PRO A 380 -15.234 -57.087 40.860 1.00 0.00 C +ATOM 5859 C PRO A 380 -14.636 -55.878 41.569 1.00 0.00 C +ATOM 5860 O PRO A 380 -13.416 -55.716 41.612 1.00 0.00 O +ATOM 5861 CB PRO A 380 -15.682 -58.131 41.879 1.00 0.00 C +ATOM 5862 CG PRO A 380 -14.430 -58.916 42.128 1.00 0.00 C +ATOM 5863 CD PRO A 380 -13.697 -58.962 40.806 1.00 0.00 C +ATOM 5864 HA PRO A 380 -16.090 -56.774 40.244 1.00 0.00 H +ATOM 5865 HB2 PRO A 380 -16.040 -57.654 42.803 1.00 0.00 H +ATOM 5866 HB3 PRO A 380 -16.475 -58.772 41.466 1.00 0.00 H +ATOM 5867 HG2 PRO A 380 -13.812 -58.419 42.890 1.00 0.00 H +ATOM 5868 HG3 PRO A 380 -14.677 -59.934 42.463 1.00 0.00 H +ATOM 5869 HD2 PRO A 380 -12.614 -58.838 40.953 1.00 0.00 H +ATOM 5870 HD3 PRO A 380 -13.890 -59.910 40.283 1.00 0.00 H +ATOM 5871 N PHE A 381 -15.500 -55.037 42.130 1.00 0.00 N +ATOM 5872 CA PHE A 381 -15.075 -53.884 42.908 1.00 0.00 C +ATOM 5873 C PHE A 381 -15.898 -53.807 44.182 1.00 0.00 C +ATOM 5874 O PHE A 381 -17.117 -54.000 44.157 1.00 0.00 O +ATOM 5875 CB PHE A 381 -15.228 -52.581 42.119 1.00 0.00 C +ATOM 5876 CG PHE A 381 -14.502 -52.576 40.805 1.00 0.00 C +ATOM 5877 CD1 PHE A 381 -13.140 -52.316 40.745 1.00 0.00 C +ATOM 5878 CD2 PHE A 381 -15.184 -52.823 39.628 1.00 0.00 C +ATOM 5879 CE1 PHE A 381 -12.476 -52.309 39.532 1.00 0.00 C +ATOM 5880 CE2 PHE A 381 -14.527 -52.816 38.413 1.00 0.00 C +ATOM 5881 CZ PHE A 381 -13.173 -52.559 38.363 1.00 0.00 C +ATOM 5882 H PHE A 381 -16.479 -55.204 42.013 1.00 0.00 H +ATOM 5883 HA PHE A 381 -14.016 -54.000 43.183 1.00 0.00 H +ATOM 5884 HB2 PHE A 381 -16.298 -52.418 41.924 1.00 0.00 H +ATOM 5885 HB3 PHE A 381 -14.838 -51.756 42.733 1.00 0.00 H +ATOM 5886 HD1 PHE A 381 -12.593 -52.117 41.655 1.00 0.00 H +ATOM 5887 HD2 PHE A 381 -16.245 -53.024 39.659 1.00 0.00 H +ATOM 5888 HE1 PHE A 381 -11.415 -52.109 39.497 1.00 0.00 H +ATOM 5889 HE2 PHE A 381 -15.074 -53.012 37.502 1.00 0.00 H +ATOM 5890 HZ PHE A 381 -12.658 -52.553 37.414 1.00 0.00 H +ATOM 5891 N VAL A 382 -15.225 -53.525 45.294 1.00 0.00 N +ATOM 5892 CA VAL A 382 -15.911 -53.355 46.567 1.00 0.00 C +ATOM 5893 C VAL A 382 -16.670 -52.036 46.556 1.00 0.00 C +ATOM 5894 O VAL A 382 -16.073 -50.961 46.681 1.00 0.00 O +ATOM 5895 CB VAL A 382 -14.924 -53.415 47.747 1.00 0.00 C +ATOM 5896 CG1 VAL A 382 -15.620 -53.005 49.038 1.00 0.00 C +ATOM 5897 CG2 VAL A 382 -14.344 -54.812 47.877 1.00 0.00 C +ATOM 5898 H VAL A 382 -14.231 -53.428 45.255 1.00 0.00 H +ATOM 5899 HA VAL A 382 -16.640 -54.169 46.693 1.00 0.00 H +ATOM 5900 HB VAL A 382 -14.104 -52.709 47.550 1.00 0.00 H +ATOM 5901 HG11 VAL A 382 -14.904 -53.052 49.872 1.00 0.00 H +ATOM 5902 HG12 VAL A 382 -16.000 -51.978 48.939 1.00 0.00 H +ATOM 5903 HG13 VAL A 382 -16.459 -53.689 49.236 1.00 0.00 H +ATOM 5904 HG21 VAL A 382 -13.641 -54.841 48.723 1.00 0.00 H +ATOM 5905 HG22 VAL A 382 -15.157 -55.532 48.052 1.00 0.00 H +ATOM 5906 HG23 VAL A 382 -13.813 -55.076 46.951 1.00 0.00 H +ATOM 5907 N THR A 383 -17.987 -52.109 46.391 1.00 0.00 N +ATOM 5908 CA THR A 383 -18.854 -50.942 46.457 1.00 0.00 C +ATOM 5909 C THR A 383 -19.892 -51.189 47.539 1.00 0.00 C +ATOM 5910 O THR A 383 -20.718 -52.100 47.414 1.00 0.00 O +ATOM 5911 CB THR A 383 -19.533 -50.669 45.113 1.00 0.00 C +ATOM 5912 OG1 THR A 383 -18.562 -50.729 44.061 1.00 0.00 O +ATOM 5913 CG2 THR A 383 -20.170 -49.289 45.119 1.00 0.00 C +ATOM 5914 H THR A 383 -18.399 -53.003 46.214 1.00 0.00 H +ATOM 5915 HA THR A 383 -18.260 -50.058 46.734 1.00 0.00 H +ATOM 5916 HB THR A 383 -20.316 -51.424 44.950 1.00 0.00 H +ATOM 5917 HG1 THR A 383 -17.717 -50.450 44.393 1.00 0.00 H +ATOM 5918 HG21 THR A 383 -20.654 -49.104 44.149 1.00 0.00 H +ATOM 5919 HG22 THR A 383 -20.922 -49.236 45.920 1.00 0.00 H +ATOM 5920 HG23 THR A 383 -19.395 -48.528 45.292 1.00 0.00 H +ATOM 5921 N LEU A 384 -19.845 -50.387 48.595 1.00 0.00 N +ATOM 5922 CA LEU A 384 -20.760 -50.547 49.713 1.00 0.00 C +ATOM 5923 C LEU A 384 -21.992 -49.669 49.527 1.00 0.00 C +ATOM 5924 O LEU A 384 -21.977 -48.681 48.788 1.00 0.00 O +ATOM 5925 CB LEU A 384 -20.064 -50.202 51.030 1.00 0.00 C +ATOM 5926 CG LEU A 384 -18.655 -50.773 51.200 1.00 0.00 C +ATOM 5927 CD1 LEU A 384 -18.067 -50.385 52.551 1.00 0.00 C +ATOM 5928 CD2 LEU A 384 -18.656 -52.283 51.022 1.00 0.00 C +ATOM 5929 H LEU A 384 -19.164 -49.655 48.622 1.00 0.00 H +ATOM 5930 HA LEU A 384 -21.089 -51.596 49.763 1.00 0.00 H +ATOM 5931 HB2 LEU A 384 -19.996 -49.106 51.101 1.00 0.00 H +ATOM 5932 HB3 LEU A 384 -20.686 -50.585 51.852 1.00 0.00 H +ATOM 5933 HG LEU A 384 -18.018 -50.339 50.416 1.00 0.00 H +ATOM 5934 HD11 LEU A 384 -17.056 -50.808 52.646 1.00 0.00 H +ATOM 5935 HD12 LEU A 384 -18.015 -49.289 52.627 1.00 0.00 H +ATOM 5936 HD13 LEU A 384 -18.706 -50.778 53.355 1.00 0.00 H +ATOM 5937 HD21 LEU A 384 -17.633 -52.668 51.149 1.00 0.00 H +ATOM 5938 HD22 LEU A 384 -19.316 -52.740 51.774 1.00 0.00 H +ATOM 5939 HD23 LEU A 384 -19.020 -52.533 50.014 1.00 0.00 H +ATOM 5940 N ASP A 385 -23.067 -50.048 50.216 1.00 0.00 N +ATOM 5941 CA ASP A 385 -24.318 -49.289 50.224 1.00 0.00 C +ATOM 5942 C ASP A 385 -24.830 -49.058 48.805 1.00 0.00 C +ATOM 5943 O ASP A 385 -25.123 -47.932 48.396 1.00 0.00 O +ATOM 5944 CB ASP A 385 -24.146 -47.963 50.967 1.00 0.00 C +ATOM 5945 CG ASP A 385 -23.660 -48.153 52.390 1.00 0.00 C +ATOM 5946 OD1 ASP A 385 -24.281 -48.945 53.131 1.00 0.00 O +ATOM 5947 OD2 ASP A 385 -22.648 -47.523 52.764 1.00 0.00 O1- +ATOM 5948 H ASP A 385 -23.017 -50.890 50.753 1.00 0.00 H +ATOM 5949 HA ASP A 385 -25.078 -49.876 50.762 1.00 0.00 H +ATOM 5950 HB2 ASP A 385 -23.414 -47.347 50.424 1.00 0.00 H +ATOM 5951 HB3 ASP A 385 -25.116 -47.444 50.992 1.00 0.00 H +ATOM 5952 N MET A 386 -24.932 -50.150 48.045 1.00 0.00 N +ATOM 5953 CA MET A 386 -25.382 -50.049 46.663 1.00 0.00 C +ATOM 5954 C MET A 386 -26.896 -49.956 46.553 1.00 0.00 C +ATOM 5955 O MET A 386 -27.404 -49.355 45.600 1.00 0.00 O +ATOM 5956 CB MET A 386 -24.876 -51.240 45.850 1.00 0.00 C +ATOM 5957 CG MET A 386 -23.410 -51.167 45.469 1.00 0.00 C +ATOM 5958 SD MET A 386 -22.924 -52.542 44.408 1.00 0.00 S +ATOM 5959 CE MET A 386 -23.325 -53.938 45.456 1.00 0.00 C +ATOM 5960 H MET A 386 -24.698 -51.044 48.427 1.00 0.00 H +ATOM 5961 HA MET A 386 -24.956 -49.136 46.221 1.00 0.00 H +ATOM 5962 HB2 MET A 386 -25.031 -52.152 46.445 1.00 0.00 H +ATOM 5963 HB3 MET A 386 -25.468 -51.300 44.925 1.00 0.00 H +ATOM 5964 HG2 MET A 386 -23.228 -50.223 44.934 1.00 0.00 H +ATOM 5965 HG3 MET A 386 -22.802 -51.193 46.386 1.00 0.00 H +ATOM 5966 HE1 MET A 386 -22.771 -54.825 45.114 1.00 0.00 H +ATOM 5967 HE2 MET A 386 -23.045 -53.709 46.495 1.00 0.00 H +ATOM 5968 HE3 MET A 386 -24.405 -54.138 45.403 1.00 0.00 H +ATOM 5969 N GLU A 387 -27.632 -50.546 47.498 1.00 0.00 N +ATOM 5970 CA GLU A 387 -29.082 -50.381 47.493 1.00 0.00 C +ATOM 5971 C GLU A 387 -29.476 -48.928 47.714 1.00 0.00 C +ATOM 5972 O GLU A 387 -30.558 -48.506 47.288 1.00 0.00 O +ATOM 5973 CB GLU A 387 -29.727 -51.278 48.551 1.00 0.00 C +ATOM 5974 CG GLU A 387 -29.909 -52.727 48.123 1.00 0.00 C +ATOM 5975 CD GLU A 387 -28.598 -53.482 48.018 1.00 0.00 C +ATOM 5976 OE1 GLU A 387 -27.727 -53.297 48.895 1.00 0.00 O +ATOM 5977 OE2 GLU A 387 -28.437 -54.261 47.055 1.00 0.00 O1- +ATOM 5978 H GLU A 387 -27.192 -51.098 48.206 1.00 0.00 H +ATOM 5979 HA GLU A 387 -29.468 -50.690 46.510 1.00 0.00 H +ATOM 5980 HB2 GLU A 387 -29.092 -51.262 49.449 1.00 0.00 H +ATOM 5981 HB3 GLU A 387 -30.717 -50.865 48.795 1.00 0.00 H +ATOM 5982 HG2 GLU A 387 -30.547 -53.234 48.862 1.00 0.00 H +ATOM 5983 HG3 GLU A 387 -30.403 -52.743 47.140 1.00 0.00 H +ATOM 5984 N ASP A 388 -28.614 -48.147 48.369 1.00 0.00 N +ATOM 5985 CA ASP A 388 -28.905 -46.730 48.562 1.00 0.00 C +ATOM 5986 C ASP A 388 -28.968 -45.982 47.240 1.00 0.00 C +ATOM 5987 O ASP A 388 -29.650 -44.958 47.142 1.00 0.00 O +ATOM 5988 CB ASP A 388 -27.856 -46.086 49.467 1.00 0.00 C +ATOM 5989 CG ASP A 388 -27.969 -46.542 50.900 1.00 0.00 C +ATOM 5990 OD1 ASP A 388 -28.852 -47.377 51.186 1.00 0.00 O +ATOM 5991 OD2 ASP A 388 -27.175 -46.065 51.742 1.00 0.00 O1- +ATOM 5992 H ASP A 388 -27.765 -48.535 48.729 1.00 0.00 H +ATOM 5993 HA ASP A 388 -29.883 -46.633 49.055 1.00 0.00 H +ATOM 5994 HB2 ASP A 388 -26.856 -46.350 49.091 1.00 0.00 H +ATOM 5995 HB3 ASP A 388 -27.984 -44.994 49.433 1.00 0.00 H +ATOM 5996 N CYS A 389 -28.266 -46.472 46.217 1.00 0.00 N +ATOM 5997 CA CYS A 389 -28.214 -45.767 44.942 1.00 0.00 C +ATOM 5998 C CYS A 389 -29.539 -45.806 44.198 1.00 0.00 C +ATOM 5999 O CYS A 389 -29.714 -45.066 43.225 1.00 0.00 O +ATOM 6000 CB CYS A 389 -27.108 -46.352 44.065 1.00 0.00 C +ATOM 6001 SG CYS A 389 -25.468 -46.264 44.825 1.00 0.00 S +ATOM 6002 H CYS A 389 -27.770 -47.333 46.326 1.00 0.00 H +ATOM 6003 HA CYS A 389 -27.967 -44.713 45.134 1.00 0.00 H +ATOM 6004 HB2 CYS A 389 -27.343 -47.408 43.864 1.00 0.00 H +ATOM 6005 HB3 CYS A 389 -27.083 -45.795 43.117 1.00 0.00 H +ATOM 6006 N GLY A 390 -30.471 -46.653 44.628 1.00 0.00 N +ATOM 6007 CA GLY A 390 -31.746 -46.753 43.940 1.00 0.00 C +ATOM 6008 C GLY A 390 -32.705 -45.665 44.398 1.00 0.00 C +ATOM 6009 O GLY A 390 -32.873 -45.430 45.597 1.00 0.00 O +ATOM 6010 H GLY A 390 -30.292 -47.224 45.429 1.00 0.00 H +ATOM 6011 HA2 GLY A 390 -31.579 -46.651 42.858 1.00 0.00 H +ATOM 6012 HA3 GLY A 390 -32.192 -47.736 44.151 1.00 0.00 H +ATOM 6013 N TYR A 391 -33.357 -45.016 43.437 1.00 0.00 N +ATOM 6014 CA TYR A 391 -34.386 -44.035 43.766 1.00 0.00 C +ATOM 6015 C TYR A 391 -35.623 -44.792 44.224 1.00 0.00 C +ATOM 6016 O TYR A 391 -36.384 -45.320 43.412 1.00 0.00 O +ATOM 6017 CB TYR A 391 -34.687 -43.141 42.571 1.00 0.00 C +ATOM 6018 CG TYR A 391 -35.716 -42.086 42.890 1.00 0.00 C +ATOM 6019 CD1 TYR A 391 -35.429 -41.056 43.775 1.00 0.00 C +ATOM 6020 CD2 TYR A 391 -36.974 -42.122 42.315 1.00 0.00 C +ATOM 6021 CE1 TYR A 391 -36.367 -40.090 44.075 1.00 0.00 C +ATOM 6022 CE2 TYR A 391 -37.920 -41.161 42.606 1.00 0.00 C +ATOM 6023 CZ TYR A 391 -37.611 -40.146 43.488 1.00 0.00 C +ATOM 6024 OH TYR A 391 -38.544 -39.184 43.786 1.00 0.00 O +ATOM 6025 H TYR A 391 -33.140 -45.202 42.479 1.00 0.00 H +ATOM 6026 HA TYR A 391 -34.035 -43.403 44.596 1.00 0.00 H +ATOM 6027 HB2 TYR A 391 -33.757 -42.645 42.258 1.00 0.00 H +ATOM 6028 HB3 TYR A 391 -35.064 -43.766 41.748 1.00 0.00 H +ATOM 6029 HD1 TYR A 391 -34.454 -41.010 44.237 1.00 0.00 H +ATOM 6030 HD2 TYR A 391 -37.220 -42.917 41.626 1.00 0.00 H +ATOM 6031 HE1 TYR A 391 -36.127 -39.295 44.766 1.00 0.00 H +ATOM 6032 HE2 TYR A 391 -38.896 -41.203 42.146 1.00 0.00 H +ATOM 6033 HH TYR A 391 -38.415 -38.883 44.678 1.00 0.00 H +ATOM 6034 N ASN A 392 -35.826 -44.841 45.533 1.00 0.00 N +ATOM 6035 CA ASN A 392 -36.824 -45.713 46.134 1.00 0.00 C +ATOM 6036 C ASN A 392 -38.248 -45.275 45.812 1.00 0.00 C +ATOM 6037 O ASN A 392 -38.868 -45.804 44.877 1.00 0.00 O +ATOM 6038 CB ASN A 392 -36.601 -45.773 47.645 1.00 0.00 C +ATOM 6039 CG ASN A 392 -35.171 -46.142 47.997 1.00 0.00 C +ATOM 6040 OD1 ASN A 392 -34.762 -47.294 47.847 1.00 0.00 O +ATOM 6041 ND2 ASN A 392 -34.400 -45.162 48.454 1.00 0.00 N +ATOM 6042 OXT ASN A 392 -38.841 -44.300 46.553 1.00 0.00 O1- +ATOM 6043 H ASN A 392 -35.274 -44.258 46.129 1.00 0.00 H +ATOM 6044 HA ASN A 392 -36.688 -46.729 45.736 1.00 0.00 H +ATOM 6045 HB2 ASN A 392 -36.829 -44.787 48.077 1.00 0.00 H +ATOM 6046 HB3 ASN A 392 -37.278 -46.527 48.074 1.00 0.00 H +ATOM 6047 HD21 ASN A 392 -33.446 -45.346 48.692 1.00 0.00 H +ATOM 6048 HD22 ASN A 392 -34.773 -44.240 48.560 1.00 0.00 H +TER 6049 ASN A 392 +CONECT 1 3 2 7 +CONECT 2 1 +CONECT 3 1 4 5 6 +CONECT 4 3 +CONECT 5 3 +CONECT 6 3 +CONECT 7 1 +CONECT 2474 5659 +CONECT 3434 6001 +CONECT 4253 5046 +CONECT 5046 4253 +CONECT 5659 2474 +CONECT 6001 3434 +END diff --git a/mixed_networks/mixed_networks.ipynb b/mixed_networks/mixed_networks.ipynb new file mode 100644 index 0000000..1e916c2 --- /dev/null +++ b/mixed_networks/mixed_networks.ipynb @@ -0,0 +1,2892 @@ +{ + "cells": [ + { + "metadata": {}, + "cell_type": "markdown", + "source": [ + "# Mixed Protocol Networks\n", + "\n", + "## Introduction\n", + "\n", + "**openfe** provides a number of protocols to estimate free energy differences, each with their own areas of applicability and limitations, suited to answering different types of scientific questions. While traditionally these protocols have been used in isolation, it is possible, thanks to the interchangeable nature of **openfe**, to combine them into a single network of transformations to leverage the strengths of each protocol.\n", + "\n", + "This notebook demonstrates one way to create a mixed protocol network, combining two relative binding free energy approaches: the [Relative Hybrid Topology Protocol](https://docs.openfree.energy/en/latest/guide/protocols/relativehybridtopology.html#userguide-relative-hybrid-topology-protocol) and the [Separated Topologies Protocol](https://docs.openfree.energy/en/latest/guide/protocols/septop.html) to compute absolute binding affinities. A complete list of the available protocols along with their strengths and limitations can be found in the [protocol overview](https://docs.openfree.energy/en/latest/guide/protocols/index.html).\n", + "\n", + "## Overview\n", + "\n", + "In this tutorial, we will demonstrate how to create a mixed protocol network to compute absolute binding free energies for `three` distinct ligand scaffold series bound to $\\beta$-secretase 1 (BACE1) taken from [Baumann et al.](https://doi.org/10.1021/acs.jctc.3c00282). The dataset contains a total of 18 ligands with 6 ligands in each of the three unique scaffold series grouped as `biaryl`, `spirocyclic` and `amide`, examples of each are shown below:\n", + "\n", + "\n", + "\n", + "While each subset of ligands forms a congeneric series suitable for the hybrid topology approach, connections between the series are more challenging due to the large structural differences between the scaffolds. To overcome this, we will use the separated topologies approach to connect the three series together. Here we present one possible way to construct a mixed protocol with minimal manual intervention which can be broken down into the following steps:\n", + "\n", + "- Plan a single LOMAP style hybrid topology binding free energy network with the Kartograf atom mapper and default lomap scorer\n", + "- Identify edges within this network between the three distinct series that are not suitable for the hybrid topology approach\n", + "- Build the transformations for the network, assigning the appropriate protocol to each transformation\n", + "- Execute and analyze the results to estimate the absolute binding free energies for each ligand\n", + "\n", + "## Load and classify the ligands\n", + "\n", + "First we start by loading the ligands from the provided SDF file and creating a mapping between the ligand name and respective series. The ligands are then converted to `SmallMoleculeComponents` for use within **openfe**.\n", + "\n", + "
Note: Ligands should have partial charges assigned before planning the network, here we use pre-charged ligands but charges can be generated via the CLI or API.
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" + } + } + }, + { + "metadata": { + "ExecuteTime": { + "end_time": "2026-10-28T12:29:30.806011Z", + "start_time": "2026-10-28T12:29:30.421333Z" + } + }, + "cell_type": "code", + "source": [ + "from rdkit import Chem\n", + "from gufe import SmallMoleculeComponent\n", + "\n", + "ligands_file = \"inputs/ligands.sdf\"\n", + "\n", + "supplier = Chem.SDMolSupplier(ligands_file, removeHs=False)\n", + "ligands = [SmallMoleculeComponent.from_rdkit(mol) for mol in supplier if mol is not None]\n", + "\n", + "# Define a mapping between the ligand names and their respective series\n", + "ligand_series_mapping = {\n", + " \"lig_02\": \"biaryl\",\n", + " \"lig_03\": \"biaryl\",\n", + " \"lig_04\": \"biaryl\",\n", + " \"lig_05\": \"biaryl\",\n", + " \"lig_06\": \"biaryl\",\n", + " \"lig_07\": \"biaryl\",\n", + " \"lig_11\": \"spirocyclic\",\n", + " \"lig_13\": \"spirocyclic\",\n", + " \"lig_16\": \"spirocyclic\",\n", + " \"lig_1a\": \"spirocyclic\",\n", + " \"lig_32\": \"spirocyclic\",\n", + " \"lig_36\": \"spirocyclic\",\n", + " \"lig_41\": \"amide\",\n", + " \"lig_45\": \"amide\",\n", + " \"lig_67\": \"amide\",\n", + " \"lig_69\": \"amide\",\n", + " \"lig_74\": \"amide\",\n", + " \"lig_81\": \"amide\",\n", + "}" + ], + "id": "c2ec360a98734f5d", + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:gufekey.gufe.components.smallmoleculecomponent.SmallMoleculeComponent:Partial charges are present for SmallMoleculeComponent-bac489de520eadaa7126ee6641163303 (name: 'lig_41')\n", + "INFO:gufekey.gufe.components.smallmoleculecomponent.SmallMoleculeComponent:Partial charges are present for SmallMoleculeComponent-3a85837a992c824bb4e0ef1eb4f03b21 (name: 'lig_03')\n", + "INFO:gufekey.gufe.components.smallmoleculecomponent.SmallMoleculeComponent:Partial charges are present for SmallMoleculeComponent-0b73c8a6df07a0beed455c479519b97f (name: 'lig_07')\n", + "INFO:gufekey.gufe.components.smallmoleculecomponent.SmallMoleculeComponent:Partial charges are present for SmallMoleculeComponent-d8bb71cb61021ff28fa31ae90db5e9af (name: 'lig_1a')\n", + "INFO:gufekey.gufe.components.smallmoleculecomponent.SmallMoleculeComponent:Partial charges are present for SmallMoleculeComponent-e4c4a874b03c3a3cc36867807030f34f (name: 'lig_45')\n", + "INFO:gufekey.gufe.components.smallmoleculecomponent.SmallMoleculeComponent:Partial charges are present for SmallMoleculeComponent-2ff86e4d2ac0278821209e3a10b83248 (name: 'lig_16')\n", + "INFO:gufekey.gufe.components.smallmoleculecomponent.SmallMoleculeComponent:Partial charges are present for SmallMoleculeComponent-a98f0ca0ad081239d749efbe258e0bf3 (name: 'lig_11')\n", + "INFO:gufekey.gufe.components.smallmoleculecomponent.SmallMoleculeComponent:Partial charges are present for SmallMoleculeComponent-02f2fb7b039d551f4d79f052220924b1 (name: 'lig_36')\n", + "INFO:gufekey.gufe.components.smallmoleculecomponent.SmallMoleculeComponent:Partial charges are present for SmallMoleculeComponent-183ce45f91ea63c1b1a5c2ca71683a2e (name: 'lig_02')\n", + "INFO:gufekey.gufe.components.smallmoleculecomponent.SmallMoleculeComponent:Partial charges are present for SmallMoleculeComponent-17032cd50d866ce3f805801db1cac89a (name: 'lig_74')\n", + "INFO:gufekey.gufe.components.smallmoleculecomponent.SmallMoleculeComponent:Partial charges are present for SmallMoleculeComponent-4931369e87328f26f82811c9afc8e55c (name: 'lig_67')\n", + "INFO:gufekey.gufe.components.smallmoleculecomponent.SmallMoleculeComponent:Partial charges are present for SmallMoleculeComponent-24d9e0a297a1559b9e36e980b8b321ba (name: 'lig_69')\n", + "INFO:gufekey.gufe.components.smallmoleculecomponent.SmallMoleculeComponent:Partial charges are present for SmallMoleculeComponent-e7b8bc753a9243d52039be2ad197a3b1 (name: 'lig_04')\n", + "INFO:gufekey.gufe.components.smallmoleculecomponent.SmallMoleculeComponent:Partial charges are present for SmallMoleculeComponent-11a9e1c36f7dbaf234e69ef0d0a99b84 (name: 'lig_81')\n", + "INFO:gufekey.gufe.components.smallmoleculecomponent.SmallMoleculeComponent:Partial charges are present for SmallMoleculeComponent-5119445cbe99f49d31eb73b97fc409a4 (name: 'lig_13')\n", + "INFO:gufekey.gufe.components.smallmoleculecomponent.SmallMoleculeComponent:Partial charges are present for SmallMoleculeComponent-b900f42ff3161e6e4b663a908d99d382 (name: 'lig_06')\n", + "INFO:gufekey.gufe.components.smallmoleculecomponent.SmallMoleculeComponent:Partial charges are present for SmallMoleculeComponent-6a2222de00a67b9cddf4402ae67abc46 (name: 'lig_05')\n", + "INFO:gufekey.gufe.components.smallmoleculecomponent.SmallMoleculeComponent:Partial charges are present for SmallMoleculeComponent-73e7964450ae778448e6e7bb6ee9c24e (name: 'lig_32')\n" + ] + } + ], + "execution_count": 71 + }, + { + "metadata": {}, + "cell_type": "markdown", + "source": [ + "## Creating the `LigandNetwork`\n", + "\n", + "Next we will create a single `LigandNetwork` containing all 18 ligands. This network will be used to identify edges between the three series that are not suitable for the hybrid topology approach, and will be assigned the separated topologies protocol later. In order to create a `LigandNetwork`, we need to define three components:\n", + "\n", + "* **Atom Mapper**: Proposes potential atom mappings (descriptions of the alchemical change) for pairs of ligands. We will use the `KartografAtomMapper`.\n", + "* **Scorer**: Given an atom mapping, provides an estimate of the quality of that mapping (higher scores are better). We will use `default_lomap_scorer`.\n", + "* **Network Planner**: Creates the actual `LigandNetwork`; different network planners provide different strategies. We will create a `LOMAP` redundant network with the `generate_lomap_network` method.\n" + ], + "id": "ab9b576aad42da72" + }, + { + "metadata": { + "ExecuteTime": { + "end_time": "2026-10-28T10:40:16.881828Z", + "start_time": "2026-10-28T10:40:10.501269Z" + } + }, + "cell_type": "code", + "source": [ + "import openfe\n", + "\n", + "# Build the mapper using the default settings\n", + "mapper = openfe.KartografAtomMapper()\n", + "# Use the default LOMAP scorer to score the proposed atom mappings\n", + "scorer = openfe.lomap_scorers.default_lomap_score\n", + "# Use the LOMAP network planner to generate a redundant network\n", + "network_planner = openfe.ligand_network_planning.generate_lomap_network\n", + "\n", + "# Build the network using the configured mapper, scorer, and network planner\n", + "network = network_planner(\n", + " ligands=ligands,\n", + " mappers=[mapper],\n", + " scorer=scorer\n", + ")" + ], + "id": "1df183ab22a81c3", + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:kartograf.atom_mapper:#################################\n", + "INFO:kartograf.atom_mapper:Map Heavy Atoms \n", + "INFO:kartograf.atom_mapper:#################################\n", + "INFO:kartograf.atom_mapper:Masking Atoms\n", + "INFO:kartograf.atom_mapper:Build Distance Matrix\n", + "INFO:kartograf.atom_mapper:Calculate Mapping\n", + "INFO:kartograf.atom_mapper:Find Maximal overlapping connected sets of mapped atoms\n", + "INFO:kartograf.atom_mapper:#################################\n", + "INFO:kartograf.atom_mapper:Map Hydrogen Atoms: \n", + "INFO:kartograf.atom_mapper:#################################\n", + "INFO:kartograf.atom_mapper:Masking Atoms\n", + "INFO:kartograf.atom_mapper:Build Distance Matrix\n", + "INFO:kartograf.atom_mapper:Calculate Mapping\n", + "INFO:kartograf.atom_mapper:Find Maximal overlapping connected sets of mapped atoms\n", + "INFO:kartograf.atom_mapper:Filtering bond breaks\n", + "INFO:kartograf.atom_mapper:#################################\n", + "INFO:kartograf.atom_mapper:Map Heavy Atoms \n", + "INFO:kartograf.atom_mapper:#################################\n", + "INFO:kartograf.atom_mapper:Masking Atoms\n", + "INFO:kartograf.atom_mapper:Build Distance Matrix\n", + "INFO:kartograf.atom_mapper:Calculate Mapping\n", + "INFO:kartograf.atom_mapper:Find Maximal overlapping connected sets of mapped atoms\n", + "INFO:kartograf.atom_mapper:#################################\n", + "INFO:kartograf.atom_mapper:Map Hydrogen Atoms: \n", + "INFO:kartograf.atom_mapper:#################################\n", + "INFO:kartograf.atom_mapper:Masking Atoms\n", + "INFO:kartograf.atom_mapper:Build Distance Matrix\n", + "INFO:kartograf.atom_mapper:Calculate Mapping\n", + "INFO:kartograf.atom_mapper:Find Maximal overlapping connected sets of mapped atoms\n", + "INFO:kartograf.atom_mapper:Filtering bond breaks\n", + "INFO:kartograf.atom_mapper:#################################\n", + "INFO:kartograf.atom_mapper:Map Heavy Atoms \n", + "INFO:kartograf.atom_mapper:#################################\n", + "INFO:kartograf.atom_mapper:Masking Atoms\n", + "INFO:kartograf.atom_mapper:Build Distance Matrix\n", + "INFO:kartograf.atom_mapper:Calculate Mapping\n", + "INFO:kartograf.atom_mapper:Find Maximal overlapping connected sets of mapped atoms\n", + "INFO:kartograf.atom_mapper:#################################\n", + "INFO:kartograf.atom_mapper:Map Hydrogen Atoms: \n", + "INFO:kartograf.atom_mapper:#################################\n", + "INFO:kartograf.atom_mapper:Masking Atoms\n", + "INFO:kartograf.atom_mapper:Build Distance Matrix\n", + "INFO:kartograf.atom_mapper:Calculate Mapping\n", + "INFO:kartograf.atom_mapper:Find Maximal overlapping connected sets of mapped atoms\n", + "INFO:kartograf.atom_mapper:Filtering bond breaks\n", + "INFO:kartograf.atom_mapper:#################################\n", + "INFO:kartograf.atom_mapper:Map Heavy Atoms \n", + 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"INFO:kartograf.atom_mapper:Find Maximal overlapping connected sets of mapped atoms\n", + "INFO:kartograf.atom_mapper:#################################\n", + "INFO:kartograf.atom_mapper:Map Hydrogen Atoms: \n", + "INFO:kartograf.atom_mapper:#################################\n", + "INFO:kartograf.atom_mapper:Masking Atoms\n", + "INFO:kartograf.atom_mapper:Build Distance Matrix\n", + "INFO:kartograf.atom_mapper:Calculate Mapping\n", + "INFO:kartograf.atom_mapper:Find Maximal overlapping connected sets of mapped atoms\n", + "INFO:kartograf.atom_mapper:Filtering bond breaks\n", + "INFO:kartograf.atom_mapper:#################################\n", + "INFO:kartograf.atom_mapper:Map Heavy Atoms \n", + "INFO:kartograf.atom_mapper:#################################\n", + "INFO:kartograf.atom_mapper:Masking Atoms\n", + "INFO:kartograf.atom_mapper:Build Distance Matrix\n", + "INFO:kartograf.atom_mapper:Calculate Mapping\n", + "INFO:kartograf.atom_mapper:Find Maximal overlapping connected sets of mapped atoms\n", + "INFO:kartograf.atom_mapper:#################################\n", + "INFO:kartograf.atom_mapper:Map Hydrogen Atoms: \n", + "INFO:kartograf.atom_mapper:#################################\n", + "INFO:kartograf.atom_mapper:Masking Atoms\n", + "INFO:kartograf.atom_mapper:Build Distance Matrix\n", + "INFO:kartograf.atom_mapper:Calculate Mapping\n", + "INFO:kartograf.atom_mapper:Find Maximal overlapping connected sets of mapped atoms\n", + "INFO:kartograf.atom_mapper:Filtering bond breaks\n", + "INFO:kartograf.atom_mapper:#################################\n", + "INFO:kartograf.atom_mapper:Map Heavy Atoms \n", + "INFO:kartograf.atom_mapper:#################################\n", + "INFO:kartograf.atom_mapper:Masking Atoms\n", + "INFO:kartograf.atom_mapper:Build Distance Matrix\n", + "INFO:kartograf.atom_mapper:Calculate Mapping\n", + "INFO:kartograf.atom_mapper:Find Maximal overlapping connected sets of mapped atoms\n", + "INFO:kartograf.atom_mapper:#################################\n", + "INFO:kartograf.atom_mapper:Map Hydrogen Atoms: \n", + "INFO:kartograf.atom_mapper:#################################\n", + "INFO:kartograf.atom_mapper:Masking Atoms\n", + "INFO:kartograf.atom_mapper:Build Distance Matrix\n", + "INFO:kartograf.atom_mapper:Calculate Mapping\n", + "INFO:kartograf.atom_mapper:Find Maximal overlapping connected sets of mapped atoms\n", + "INFO:kartograf.atom_mapper:Filtering bond breaks\n", + "INFO:kartograf.atom_mapper:#################################\n", + "INFO:kartograf.atom_mapper:Map Heavy Atoms \n", + "INFO:kartograf.atom_mapper:#################################\n", + "INFO:kartograf.atom_mapper:Masking Atoms\n", + "INFO:kartograf.atom_mapper:Build Distance Matrix\n", + "INFO:kartograf.atom_mapper:Calculate Mapping\n", + "INFO:kartograf.atom_mapper:Find Maximal overlapping connected sets of mapped atoms\n", + "INFO:kartograf.atom_mapper:#################################\n", + "INFO:kartograf.atom_mapper:Map Hydrogen Atoms: \n", + "INFO:kartograf.atom_mapper:#################################\n", + "INFO:kartograf.atom_mapper:Masking Atoms\n", + "INFO:kartograf.atom_mapper:Build Distance Matrix\n", + "INFO:kartograf.atom_mapper:Calculate Mapping\n", + "INFO:kartograf.atom_mapper:Find Maximal overlapping connected sets of mapped atoms\n", + "INFO:kartograf.atom_mapper:Filtering bond breaks\n", + "INFO:kartograf.atom_mapper:#################################\n", + "INFO:kartograf.atom_mapper:Map Heavy Atoms \n", + "INFO:kartograf.atom_mapper:#################################\n", + "INFO:kartograf.atom_mapper:Masking Atoms\n", + "INFO:kartograf.atom_mapper:Build Distance Matrix\n", + "INFO:kartograf.atom_mapper:Calculate Mapping\n", + "INFO:kartograf.atom_mapper:Find Maximal overlapping connected sets of mapped atoms\n", + "INFO:kartograf.atom_mapper:#################################\n", + "INFO:kartograf.atom_mapper:Map Hydrogen Atoms: \n", + "INFO:kartograf.atom_mapper:#################################\n", + "INFO:kartograf.atom_mapper:Masking Atoms\n", + "INFO:kartograf.atom_mapper:Build Distance Matrix\n", + "INFO:kartograf.atom_mapper:Calculate Mapping\n", + "INFO:kartograf.atom_mapper:Find Maximal overlapping connected sets of mapped atoms\n", + "INFO:kartograf.atom_mapper:Filtering bond breaks\n", + "INFO:kartograf.atom_mapper:#################################\n", + "INFO:kartograf.atom_mapper:Map Heavy Atoms \n", + "INFO:kartograf.atom_mapper:#################################\n", + "INFO:kartograf.atom_mapper:Masking Atoms\n", + "INFO:kartograf.atom_mapper:Build Distance Matrix\n", + "INFO:kartograf.atom_mapper:Calculate Mapping\n", + "INFO:kartograf.atom_mapper:Find Maximal overlapping connected sets of mapped atoms\n", + "INFO:kartograf.atom_mapper:#################################\n", + "INFO:kartograf.atom_mapper:Map Hydrogen Atoms: \n", + "INFO:kartograf.atom_mapper:#################################\n", + "INFO:kartograf.atom_mapper:Masking Atoms\n", + "INFO:kartograf.atom_mapper:Build Distance Matrix\n", + "INFO:kartograf.atom_mapper:Calculate Mapping\n", + "INFO:kartograf.atom_mapper:Find Maximal overlapping connected sets of mapped atoms\n", + "INFO:kartograf.atom_mapper:Filtering bond breaks\n", + "INFO:kartograf.atom_mapper:#################################\n", + "INFO:kartograf.atom_mapper:Map Heavy Atoms \n", + "INFO:kartograf.atom_mapper:#################################\n", + "INFO:kartograf.atom_mapper:Masking Atoms\n", + "INFO:kartograf.atom_mapper:Build Distance Matrix\n", + "INFO:kartograf.atom_mapper:Calculate Mapping\n", + "INFO:kartograf.atom_mapper:Find Maximal overlapping connected sets of mapped atoms\n", + "INFO:kartograf.atom_mapper:#################################\n", + "INFO:kartograf.atom_mapper:Map Hydrogen Atoms: \n", + "INFO:kartograf.atom_mapper:#################################\n", + "INFO:kartograf.atom_mapper:Masking Atoms\n", + "INFO:kartograf.atom_mapper:Build Distance Matrix\n", + "INFO:kartograf.atom_mapper:Calculate Mapping\n", + "INFO:kartograf.atom_mapper:Find Maximal overlapping connected sets of mapped atoms\n", + "INFO:kartograf.atom_mapper:Filtering bond breaks\n", + "INFO:kartograf.atom_mapper:#################################\n", + "INFO:kartograf.atom_mapper:Map Heavy Atoms \n", + "INFO:kartograf.atom_mapper:#################################\n", + "INFO:kartograf.atom_mapper:Masking Atoms\n", + "INFO:kartograf.atom_mapper:Build Distance Matrix\n", + "INFO:kartograf.atom_mapper:Calculate Mapping\n", + "INFO:kartograf.atom_mapper:Find Maximal overlapping connected sets of mapped atoms\n", + "INFO:kartograf.atom_mapper:#################################\n", + "INFO:kartograf.atom_mapper:Map Hydrogen Atoms: \n", + "INFO:kartograf.atom_mapper:#################################\n", + "INFO:kartograf.atom_mapper:Masking Atoms\n", + "INFO:kartograf.atom_mapper:Build Distance Matrix\n", + "INFO:kartograf.atom_mapper:Calculate Mapping\n", + "INFO:kartograf.atom_mapper:Find Maximal overlapping connected sets of mapped atoms\n", + "INFO:kartograf.atom_mapper:Filtering bond breaks\n", + "INFO:kartograf.atom_mapper:#################################\n", + "INFO:kartograf.atom_mapper:Map Heavy Atoms \n", + "INFO:kartograf.atom_mapper:#################################\n", + "INFO:kartograf.atom_mapper:Masking Atoms\n", + "INFO:kartograf.atom_mapper:Build Distance Matrix\n", + "INFO:kartograf.atom_mapper:Calculate Mapping\n", + "INFO:kartograf.atom_mapper:Find Maximal overlapping connected sets of mapped atoms\n", + "INFO:kartograf.atom_mapper:#################################\n", + "INFO:kartograf.atom_mapper:Map Hydrogen Atoms: \n", + "INFO:kartograf.atom_mapper:#################################\n", + "INFO:kartograf.atom_mapper:Masking Atoms\n", + "INFO:kartograf.atom_mapper:Build Distance Matrix\n", + "INFO:kartograf.atom_mapper:Calculate Mapping\n", + "INFO:kartograf.atom_mapper:Find Maximal overlapping connected sets of mapped atoms\n", + "INFO:kartograf.atom_mapper:Filtering bond breaks\n", + "INFO:kartograf.atom_mapper:#################################\n", + "INFO:kartograf.atom_mapper:Map Heavy Atoms \n", + "INFO:kartograf.atom_mapper:#################################\n", + "INFO:kartograf.atom_mapper:Masking Atoms\n", + "INFO:kartograf.atom_mapper:Build Distance Matrix\n", + "INFO:kartograf.atom_mapper:Calculate Mapping\n", + "INFO:kartograf.atom_mapper:Find Maximal overlapping connected sets of mapped atoms\n", + "INFO:kartograf.atom_mapper:#################################\n", + "INFO:kartograf.atom_mapper:Map Hydrogen Atoms: \n", + "INFO:kartograf.atom_mapper:#################################\n", + "INFO:kartograf.atom_mapper:Masking Atoms\n", + "INFO:kartograf.atom_mapper:Build Distance Matrix\n", + "INFO:kartograf.atom_mapper:Calculate Mapping\n", + "INFO:kartograf.atom_mapper:Find Maximal overlapping connected sets of mapped atoms\n", + "INFO:kartograf.atom_mapper:Filtering bond breaks\n", + "INFO:root:Trying to remove edge 7-17 with similarity 0.670320\n", + "INFO:root:Checking edge deletion on distance-to-actives 0 vs 0\n", + "INFO:root:Removed edge 7-17\n", + "INFO:root:Trying to remove edge 5-14 with similarity 0.670320\n", + "INFO:root:Checking edge deletion on distance-to-actives 0 vs 0\n", + "INFO:root:Removed edge 5-14\n", + "INFO:root:Trying to remove edge 6-7 with similarity 0.704688\n", + "INFO:root:Rejecting edge deletion on cycle covering\n", + "INFO:root:Trying to remove edge 5-17 with similarity 0.778801\n", + "INFO:root:Rejecting edge deletion on cycle covering\n", + "INFO:root:Trying to remove edge 14-17 with similarity 0.778801\n", + "INFO:root:Checking edge deletion on distance-to-actives 0 vs 0\n", + "INFO:root:Removed edge 14-17\n", + "INFO:root:Trying to remove edge 7-14 with similarity 0.818731\n", + "INFO:root:Rejecting edge deletion on cycle covering\n", + "INFO:root:Trying to remove edge 5-6 with similarity 0.818731\n", + "INFO:root:Rejecting edge deletion on cycle covering\n", + "INFO:root:Trying to remove edge 6-14 with similarity 0.818731\n", + "INFO:root:Rejecting edge deletion on cycle covering\n", + "INFO:root:Trying to remove edge 6-17 with similarity 0.951229\n", + "INFO:root:Rejecting edge deletion on cycle covering\n" + ] + } + ], + "execution_count": 29 + }, + { + "metadata": {}, + "cell_type": "markdown", + "source": [ + "## Visualize the `LigandNetwork`\n", + "\n", + "Now we can visualize the `LigandNetwork` while highlighting the three distinct series using colours to match the examples shown above. The `biaryl` series is shown in yellow, the `spirocyclic` series in cyan, and the `amide` series in magenta. Edges between the series are shown in red while edges within the series are shown in black." + ], + "id": "aac35319eaa125a7" + }, + { + "metadata": { + "ExecuteTime": { + "end_time": "2026-10-28T10:56:23.165359Z", + "start_time": "2026-10-28T10:56:23.078480Z" + } + }, + "cell_type": "code", + "source": [ + "%matplotlib inline\n", + "import networkx as nx\n", + "import matplotlib.pyplot as plt\n", + "\n", + "series_to_color = {\n", + " \"biaryl\": \"yellow\",\n", + " \"spirocyclic\": \"cyan\",\n", + " \"amide\": \"magenta\"\n", + "}\n", + "\n", + "network_graph = nx.Graph()\n", + "for edge in network.edges:\n", + " network_graph.add_edge(edge.componentA.name, edge.componentB.name)\n", + "pos = nx.spring_layout(network_graph, seed=42)\n", + "node_colors = [series_to_color[ligand_series_mapping[node]] for node in network_graph.nodes()]\n", + "edge_colors = [\"black\" if ligand_series_mapping[edge[0]] == ligand_series_mapping[edge[1]] else \"red\" for edge in network_graph.edges()]\n", + "plt.figure(figsize=(10, 8))\n", + "nx.draw(network_graph, pos, with_labels=True, node_color=node_colors, edge_color=edge_colors, node_size=900, font_size=10, font_color='black', font_weight='bold')\n", + "plt.axis(\"off\")\n", + "plt.show()" + ], + "id": "e4cba9083f76e449", + "outputs": [ + { + "data": { + "text/plain": [ + "
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" + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "execution_count": 48 + }, + { + "metadata": {}, + "cell_type": "markdown", + "source": [ + "## Inspecting the atom mappings\n", + "\n", + "Now we can inspect and compare the atom mappings and associated scores for edges between the series with those within each series. First lets inspect an edge between the `biaryl` and `spirocyclic` series involving ligands `lig_03` and `lig_11`. The atom mapping is shown below along with the associated score. The score is relatively low due to the large number of alchemical atoms required, indicating that this edge may be difficult to converge with the hybrid topology approach.\n", + "\n", + "
Reminder: Shared core (mapped) atoms are shown in black and thoses unique to each end state are shown in red. Mapped atoms whoes element change during the simulation are shown in blue.
" + ], + "id": "feadf6d35aa1a518" + }, + { + "metadata": { + "ExecuteTime": { + "end_time": "2026-10-28T11:00:35.073751Z", + "start_time": "2026-10-28T11:00:34.934732Z" + } + }, + "cell_type": "code", + "source": [ + "edge = [edge for edge in network.edges if {edge.componentA.name, edge.componentB.name} == {\"lig_03\", \"lig_11\"}][0]\n", + "edge" + ], + "id": "738e5bff854de03f", + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "execution_count": 51 + }, + { + "metadata": { + "ExecuteTime": { + "end_time": "2026-10-28T11:00:57.151097Z", + "start_time": "2026-10-28T11:00:57.102644Z" + } + }, + "cell_type": "code", + "source": [ + "# Higher score is better\n", + "edge.annotations" + ], + "id": "782559866e5eb3f5", + "outputs": [ + { + "data": { + "text/plain": [ + "{'score': 0.008208499862389881}" + ] + }, + "execution_count": 52, + "metadata": {}, + "output_type": "execute_result" + } + ], + "execution_count": 52 + }, + { + "metadata": { + "ExecuteTime": { + "end_time": "2026-10-28T11:05:51.518159Z", + "start_time": "2026-10-28T11:05:51.459260Z" + } + }, + "cell_type": "code", + "source": [ + "# Now find an edge within the spirocyclic series\n", + "edge = [edge for edge in network.edges if {edge.componentA.name, edge.componentB.name} == {\"lig_11\", \"lig_32\"}][0]\n", + "edge\n" + ], + "id": "11976268a7459cc3", + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "execution_count": 53 + }, + { + "metadata": { + "ExecuteTime": { + "end_time": "2026-10-28T11:05:59.860621Z", + "start_time": "2026-10-28T11:05:59.835572Z" + } + }, + "cell_type": "code", + "source": [ + "# Higher score is better\n", + "edge.annotations" + ], + "id": "e9df66ff253b9e4b", + "outputs": [ + { + "data": { + "text/plain": [ + "{'score': 0.951229424500714}" + ] + }, + "execution_count": 54, + "metadata": {}, + "output_type": "execute_result" + } + ], + "execution_count": 54 + }, + { + "metadata": {}, + "cell_type": "markdown", + "source": [ + "## Configure the `Protocols`\n", + "\n", + "Before building the transformations for the network we need to configure the protocol settings for both the hybrid topology and separated topologies protocols. By default, the force fields used by these protocols match however changes to one protocol should be reflected in the other. We will also be using the `_adaptive_settings` method to automatically adjust the settings based on the systems involved in the transformation, this is particularly useful for the hybrid topology protocol which adjusts the solvent padding based on the presence of a receptor in the system." + ], + "id": "ab9906252acf1ca" + }, + { + "metadata": { + "ExecuteTime": { + "end_time": "2026-10-28T11:28:28.334763Z", + "start_time": "2026-10-28T11:28:28.299630Z" + } + }, + "cell_type": "code", + "source": [ + "from openfe.protocols.openmm_rfe import RelativeHybridTopologyProtocol\n", + "from openfe.protocols.openmm_septop import SepTopProtocol\n", + "\n", + "# Configure the small molecule force field to be used by both protocols and the number of repeats per execution of the protocol\n", + "small_molecule_forcefield = \"openff-2.3.0\"\n", + "default_hybrid_settings = RelativeHybridTopologyProtocol.default_settings()\n", + "default_hybrid_settings.forcefield_settings.small_molecule_forcefield = small_molecule_forcefield\n", + "default_hybrid_settings.protocol_repeats = 1\n", + "\n", + "default_septop_settings = SepTopProtocol.default_settings()\n", + "default_septop_settings.forcefield_settings.small_molecule_forcefield = small_molecule_forcefield\n", + "default_septop_settings.protocol_repeats = 1" + ], + "id": "43fc256c3e0ff239", + "outputs": [], + "execution_count": 65 + }, + { + "metadata": {}, + "cell_type": "markdown", + "source": [ + "## Building the `Transformations`\n", + "\n", + "Now we can build the transformations for this network, assigning the appropriate protocol for each transformation. Here we will use the hybrid topology protocol for edges within each series and the separated topologies protocol for edges between the series.\n", + "\n", + "Each protocol has different requirements for the `ChemicalSystem` compositions used to represent the end states of the transformation. This is due to the hybrid topology protocol requiring the `complex` and `solvent` legs be constructed manually as separate `Transformation` objects while the separated topologies protocol runs both the `complex` and `solvent` legs within a single `Transformation` object. The code below demonstrates how to build the transformations for both protocols while ensuring the correct `ChemicalSystem` objects are used for each protocol. For more information on the requirements for each protocol see the [examples documentation](https://docs.openfree.energy/en/stable/guide/setup/chemical_systems_and_thermodynamic_cycles.html#system-composition-examples)." + ], + "id": "2c1e9779b733eb13" + }, + { + "metadata": { + "ExecuteTime": { + "end_time": "2026-10-28T11:52:55.933717Z", + "start_time": "2026-10-28T11:52:55.331525Z" + } + }, + "cell_type": "code", + "source": [ + "from openfe.protocols.openmm_rfe import RelativeHybridTopologyProtocolSettings\n", + "from openfe.protocols.openmm_septop import SepTopSettings\n", + "\n", + "# load the receptor from the provided PDB file and create the solvent component\n", + "protein = openfe.ProteinComponent.from_pdb_file(\"inputs/protein.pdb\")\n", + "solvent = openfe.SolventComponent()\n", + "\n", + "\n", + "# define helper functions to build the transformations for each protocol\n", + "def build_hybrid_topology_transformation(edge: openfe.LigandAtomMapping, default_settings: RelativeHybridTopologyProtocolSettings, protein_comp: openfe.ProteinComponent, solvent_comp: openfe.SolventComponent) -> list[openfe.Transformation]:\n", + " \"\"\"Build the complex and solvent leg transformations for a given ligand atom mapping using the hybrid topology protocol.\"\"\"\n", + " transformations = []\n", + " for leg in [\"solvent\", \"complex\"]:\n", + " state_a_dict = {\"ligand\": edge.componentA, \"solvent\": solvent_comp}\n", + " state_b_dict = {\"ligand\": edge.componentB, \"solvent\": solvent_comp}\n", + " if leg == \"complex\":\n", + " state_a_dict[\"protein\"] = protein_comp\n", + " state_b_dict[\"protein\"] = protein_comp\n", + "\n", + " state_a = openfe.ChemicalSystem(state_a_dict, name=f\"{edge.componentA.name}_{leg}\")\n", + " state_b = openfe.ChemicalSystem(state_b_dict, name=f\"{edge.componentB.name}_{leg}\")\n", + "\n", + " # adjust the settings based on the systems involved in the transformation\n", + " ts_settings = RelativeHybridTopologyProtocol._adaptive_settings(\n", + " stateA=state_a,\n", + " stateB=state_b,\n", + " mapping=edge,\n", + " initial_settings=default_settings,\n", + " )\n", + "\n", + " # create the transformation for this leg\n", + " transformation = openfe.Transformation(\n", + " stateA=state_a,\n", + " stateB=state_b,\n", + " mapping=edge,\n", + " protocol=RelativeHybridTopologyProtocol(ts_settings),\n", + " name=f\"{leg}_{edge.componentA.name}_{edge.componentB.name}\"\n", + " )\n", + " transformations.append(transformation)\n", + " return transformations\n", + "\n", + "\n", + "def build_septop_transformation(edge: openfe.LigandAtomMapping, default_settings: SepTopSettings, protein_comp: openfe.ProteinComponent, solvent_comp: openfe.SolventComponent) -> list[openfe.Transformation]:\n", + " \"\"\"Build the transformation for a given ligand atom mapping using the separated topologies protocol.\"\"\"\n", + " state_a_dict = {\"ligand\": edge.componentA, \"protein\": protein_comp, \"solvent\": solvent_comp}\n", + " state_b_dict = {\"ligand\": edge.componentB, \"protein\": protein_comp, \"solvent\": solvent_comp}\n", + "\n", + " state_a = openfe.ChemicalSystem(state_a_dict, name=f\"{edge.componentA.name}_septop\")\n", + " state_b = openfe.ChemicalSystem(state_b_dict, name=f\"{edge.componentB.name}_septop\")\n", + "\n", + " # adjust the settings based on the systems involved in the transformation\n", + " ts_settings = SepTopProtocol._adaptive_settings(\n", + " stateA=state_a,\n", + " stateB=state_b,\n", + " initial_settings=default_settings,\n", + " )\n", + "\n", + " # create the transformation for this edge\n", + " transformation = openfe.Transformation(\n", + " stateA=state_a,\n", + " stateB=state_b,\n", + " mapping=None,\n", + " protocol=SepTopProtocol(ts_settings),\n", + " name=f\"{edge.componentA.name}_{edge.componentB.name}\"\n", + " )\n", + " return [transformation, ]\n" + ], + "id": "4b08f0258bbdd052", + "outputs": [], + "execution_count": 67 + }, + { + "metadata": {}, + "cell_type": "markdown", + "source": "We can now build the transformations required to execute the edges in the planned network. The code below iterates through the edges in the `LigandNetwork` and builds the appropriate transformations for each edge based on whether the edge is within a series or between series. The transformations can then be writen to disk which can be executed using the [openfe quickrun CLI](https://docs.openfree.energy/en/stable/guide/introduction.html#cli-workflow).", + "id": "c3b0890f5793275c" + }, + { + "metadata": { + "ExecuteTime": { + "end_time": "2026-10-28T12:27:09.467138Z", + "start_time": "2026-10-28T12:26:57.477396Z" + } + }, + "cell_type": "code", + "source": [ + "import pathlib\n", + "\n", + "all_transformations = []\n", + "for edge in network.edges:\n", + " if ligand_series_mapping[edge.componentA.name] == ligand_series_mapping[edge.componentB.name]:\n", + " # build the hybrid topology transformations for edges within a series\n", + " transformations = build_hybrid_topology_transformation(edge, default_hybrid_settings, protein, solvent)\n", + " else:\n", + " # build the separated topologies transformation for edges between series\n", + " transformations = build_septop_transformation(edge, default_septop_settings, protein, solvent)\n", + "\n", + " # add the transformations to the network\n", + " all_transformations.extend(transformations)\n", + "\n", + "alchemical_network = openfe.AlchemicalNetwork(all_transformations)\n", + "\n", + "# first we create the directory\n", + "transformation_dir = pathlib.Path(\"transformations\")\n", + "transformation_dir.mkdir(exist_ok=True)\n", + "\n", + "# then we write out each transformation\n", + "for transformation in alchemical_network.edges:\n", + " transformation.to_json(transformation_dir / f\"{transformation.name}.json\")" + ], + "id": "fcc7a807d6edc1a8", + "outputs": [], + "execution_count": 69 + }, + { + "metadata": {}, + "cell_type": "markdown", + "source": "We can also check how many transformations were created for each protocol. The hybrid topology protocol should have 44 transformations (22 edges * 2 legs) while the separated topologies protocol should have 6 transformations (6 connecting edges).", + "id": "8aa9a3a8ad2ce7c5" + }, + { + "metadata": { + "ExecuteTime": { + "end_time": "2026-10-28T12:57:19.849140Z", + "start_time": "2026-10-28T12:57:19.817053Z" + } + }, + "cell_type": "code", + "source": [ + "edges_per_protocol = {\n", + " RelativeHybridTopologyProtocol: 0,\n", + " SepTopProtocol: 0\n", + "}\n", + "for transformation in alchemical_network.edges:\n", + " edges_per_protocol[transformation.protocol.__class__] += 1\n", + "\n", + "edges_per_protocol" + ], + "id": "d4f5c88c40f92a9", + "outputs": [ + { + "data": { + "text/plain": [ + "{openfe.protocols.openmm_rfe.hybridtop_protocols.RelativeHybridTopologyProtocol: 44,\n", + " openfe.protocols.openmm_septop.equil_septop_method.SepTopProtocol: 6}" + ] + }, + "execution_count": 77, + "metadata": {}, + "output_type": "execute_result" + } + ], + "execution_count": 77 + }, + { + "metadata": {}, + "cell_type": "code", + "outputs": [], + "execution_count": null, + "source": "", + "id": "27d647049e330837" + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 2 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython2", + "version": "2.7.6" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} From 7e39962f3de52c569d797980cce3ed9e16381a7c Mon Sep 17 00:00:00 2001 From: Josh Horton Date: Fri, 30 Oct 2026 11:36:06 +0000 Subject: [PATCH 2/3] fix ligands order, clean up notebook and add results analysis --- mixed_networks/inputs/ligands.sdf | 2144 --------------------------- mixed_networks/mixed_networks.ipynb | 1036 +++++++++++-- 2 files changed, 951 insertions(+), 2229 deletions(-) delete mode 100644 mixed_networks/inputs/ligands.sdf diff --git a/mixed_networks/inputs/ligands.sdf b/mixed_networks/inputs/ligands.sdf deleted file mode 100644 index 3be0502..0000000 --- a/mixed_networks/inputs/ligands.sdf +++ /dev/null @@ -1,2144 +0,0 @@ - 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2 26 1 0 - 3 27 1 0 - 4 28 1 0 - 5 29 1 0 - 6 30 1 0 - 7 31 1 0 - 8 32 1 0 - 15 33 1 0 - 15 34 1 0 - 17 35 1 0 - 17 36 1 0 - 17 37 1 0 - 18 38 1 0 - 18 39 1 0 - 18 40 1 0 - 19 41 1 0 - 19 42 1 0 - 19 43 1 0 - 21 44 1 0 - 22 45 1 0 - 22 46 1 0 -M CHG 1 21 1 -M END -> (2) -6.5700000000000003 - -> (2) -10.1021/ml3001165 - -> (2) -lig_03 - -> (2) --0.11095263136793738 -0.09334935320784217 -0.099566058053270637 -0.13318472428490286 -0.115234249068991 -0.19174704773594503 -0.091113538278833686 -0.14451132042576437 --0.019377135469213776 0.0028317786915146785 -0.14109196586777334 0.13953528480361338 0.70398049728701939 0.48898395078013773 -0.17956253214050893 0.11954519824813241 -0.11578555478026038 -0.03879441620539064 0.11556380169223184 -0.40000084860493307 -0.37596312983204488 -0.49046490414311056 -0.50077176911999355 -0.32162410838772421 0.15000080244372721 0.13377190308402415 -0.14620045499633189 0.14072715418170328 0.1212532438499772 0.145523465440973 0.13773419635127421 0.1512595482332551 0.12534954325984354 0.12534954325984354 0.064915507302983941 -0.064915507302983941 0.064915507302983941 0.080984628961785973 0.080984628961785973 0.080984628961785973 0.049717157350286194 0.049717157350286194 0.049717157350286194 0.3120375491840684 -0.31950332896540995 0.31950332896540995 - -> (2) -{"openfe_version": "1.8.0", "openff_toolkit_version": "0.18.0", "rdkit_version": "2025.09.4", "charge_method": "nagl_off", "nagl_version": "0.5.4", "nagl_model": "openff-gnn-am1bcc-1.0.0.pt"} - -$$$$ - - RDKit 3D - - 42 45 0 0 0 0 0 0 0 0999 V2000 - -40.1853 -45.2236 17.1561 C 0 0 0 0 0 0 0 0 0 0 0 0 - -38.8417 -45.1130 16.8105 C 0 0 0 0 0 0 0 0 0 0 0 0 - -40.5502 -45.5374 18.4642 C 0 0 0 0 0 0 0 0 0 0 0 0 - -38.2297 -45.6216 19.0844 C 0 0 0 0 0 0 0 0 0 0 0 0 - -35.9620 -44.0919 16.6242 C 0 0 0 0 0 0 0 0 0 0 0 0 - -35.4608 -46.1044 17.8512 C 0 0 0 0 0 0 0 0 0 0 0 0 - -33.6802 -44.9041 16.7249 C 0 0 0 0 0 0 0 0 0 0 0 0 - -37.0778 -43.7889 23.6837 C 0 0 0 0 0 0 0 0 0 0 0 0 - -38.1753 -43.3854 22.9550 C 0 0 0 0 0 0 0 0 0 0 0 0 - -37.8361 -45.3033 17.7689 C 0 0 0 0 0 0 0 0 0 0 0 0 - -36.4116 -45.1659 17.4132 C 0 0 0 0 0 0 0 0 0 0 0 0 - -39.5815 -45.7580 19.4543 C 0 0 0 0 0 0 0 0 0 0 0 0 - -34.6123 -43.9694 16.2856 C 0 0 0 0 0 0 0 0 0 0 0 0 - -34.1130 -45.9688 17.5090 C 0 0 0 0 0 0 0 0 0 0 0 0 - -37.8508 -45.5605 22.8009 C 0 0 0 0 0 0 0 0 0 0 0 0 - -38.0693 -46.9005 22.3437 C 0 0 0 0 0 0 0 0 0 0 0 0 - -39.9150 -44.7397 21.7307 C 0 0 0 0 0 0 0 0 0 0 0 0 - -39.9669 -46.0516 20.9058 C 0 0 1 0 0 0 0 0 0 0 0 0 - -41.3726 -46.6701 21.0588 C 0 0 0 0 0 0 0 0 0 0 0 0 - -36.8800 -45.1459 23.5836 N 0 0 0 0 0 0 0 0 0 0 0 0 - -38.6705 -44.5382 22.4340 N 0 0 0 0 0 0 0 0 0 0 0 0 - -39.0464 -47.1015 21.4574 N 0 0 0 0 0 0 0 0 0 0 0 0 - -37.2773 -47.8522 22.8168 N 0 0 0 0 0 0 0 0 0 0 0 0 - -34.0980 -42.6468 15.3130 Cl 0 0 0 0 0 0 0 0 0 0 0 0 - -32.9756 -47.1360 18.0609 Cl 0 0 0 0 0 0 0 0 0 0 0 0 - -40.9522 -45.0593 16.4048 H 0 0 0 0 0 0 0 0 0 0 0 0 - -38.5911 -44.8754 15.7789 H 0 0 0 0 0 0 0 0 0 0 0 0 - -41.6107 -45.5921 18.6898 H 0 0 0 0 0 0 0 0 0 0 0 0 - -37.4584 -45.7453 19.8419 H 0 0 0 0 0 0 0 0 0 0 0 0 - -36.6678 -43.3394 16.2764 H 0 0 0 0 0 0 0 0 0 0 0 0 - -35.7737 -46.9540 18.4559 H 0 0 0 0 0 0 0 0 0 0 0 0 - -32.6311 -44.8044 16.4592 H 0 0 0 0 0 0 0 0 0 0 0 0 - -36.4222 -43.1717 24.2795 H 0 0 0 0 0 0 0 0 0 0 0 0 - -38.6360 -42.4214 22.7956 H 0 0 0 0 0 0 0 0 0 0 0 0 - -40.0970 -43.8560 21.1068 H 0 0 0 0 0 0 0 0 0 0 0 0 - -40.6803 -44.7464 22.5168 H 0 0 0 0 0 0 0 0 0 0 0 0 - -41.5396 -46.9939 22.0935 H 0 0 0 0 0 0 0 0 0 0 0 0 - -41.4909 -47.5555 20.4233 H 0 0 0 0 0 0 0 0 0 0 0 0 - -42.1663 -45.9576 20.8102 H 0 0 0 0 0 0 0 0 0 0 0 0 - -39.1630 -48.0587 21.1347 H 0 0 0 0 0 0 0 0 0 0 0 0 - -36.5485 -47.6376 23.4895 H 0 0 0 0 0 0 0 0 0 0 0 0 - -37.3883 -48.8136 22.5159 H 0 0 0 0 0 0 0 0 0 0 0 0 - 1 2 2 0 - 1 3 1 0 - 2 10 1 0 - 3 12 2 0 - 4 10 2 0 - 4 12 1 0 - 5 11 2 0 - 5 13 1 0 - 6 11 1 0 - 6 14 2 0 - 7 13 2 0 - 7 14 1 0 - 8 9 2 0 - 8 20 1 0 - 9 21 1 0 - 10 11 1 0 - 12 18 1 0 - 13 24 1 0 - 14 25 1 0 - 15 16 1 0 - 15 20 2 0 - 15 21 1 0 - 16 22 2 0 - 16 23 1 0 - 17 18 1 0 - 17 21 1 0 - 18 19 1 6 - 18 22 1 0 - 1 26 1 0 - 2 27 1 0 - 3 28 1 0 - 4 29 1 0 - 5 30 1 0 - 6 31 1 0 - 7 32 1 0 - 8 33 1 0 - 9 34 1 0 - 17 35 1 0 - 17 36 1 0 - 19 37 1 0 - 19 38 1 0 - 19 39 1 0 - 22 40 1 0 - 23 41 1 0 - 23 42 1 0 -M CHG 1 22 1 -M END -> (3) -5.6699999999999999 - -> (3) -Preparation of 5,6-dihydro-imidazo[1,2-a]pyrazin-8-ylamine derivatives as beta-secretase inhibitors By: Trabanco-Suarez, Andres Avelino; Delgado-Jimenez, Francisca; Vega Ramiro, Juan Antonio; Tresadern, Gary John; Gijsen, Henricus Jacobus Maria; Oehlrich, DanielWorld Intellectual Property Organization, WO2012085038 A1 2012-06-28 - -> (3) -lig_07 - -> (3) --0.11149073090581667 -0.084030222857282275 -0.11456604745416414 -0.089445848727510088 -0.10307528522043001 -0.10307528522043001 -0.11684875633744966 0.35011908713550793 --0.19180805679588092 -0.022775248402640932 -0.0097861818614460166 -0.14117531176833881 0.043696935510351545 0.043696935510351545 0.18151846829624402 0.42853355709285962 0.02483856234522093 -0.10009227249593962 -0.11977779563693773 -0.56343757804660566 -0.14623522456912769 -0.34253310855655444 -0.492649194562719 -0.081031289661214465 -0.081031289661214465 0.15900236669750439 -0.14974271062584149 0.12628163698883282 0.14332244101734387 0.15987374190063702 0.15987374190063702 0.17050101164551007 0.068826201593592054 0.20014170113773572 0.097198846971704847 -0.097198846971704847 0.070553909277632124 0.070553909277632124 0.070553909277632124 0.32157388631077038 0.33853888813228833 0.33853888813228833 - -> (3) -{"openfe_version": "1.8.0", "openff_toolkit_version": "0.18.0", "rdkit_version": "2025.09.4", "charge_method": "nagl_off", "nagl_version": "0.5.4", "nagl_model": "openff-gnn-am1bcc-1.0.0.pt"} - -$$$$ - - RDKit 3D - - 37 39 0 0 0 0 0 0 0 0999 V2000 - -40.5651 -45.2426 17.4631 C 0 0 0 0 0 0 0 0 0 0 0 0 - -39.3154 -45.0579 16.8765 C 0 0 0 0 0 0 0 0 0 0 0 0 - -38.2913 -45.1190 19.0612 C 0 0 0 0 0 0 0 0 0 0 0 0 - -39.5457 -45.2917 19.6705 C 0 0 0 0 0 0 0 0 0 0 0 0 - -40.6797 -45.3754 18.8510 C 0 0 0 0 0 0 0 0 0 0 0 0 - -38.1775 -45.0023 17.6751 C 0 0 0 0 0 0 0 0 0 0 0 0 - -38.8910 -44.2680 21.9028 C 0 0 0 0 0 0 0 0 0 0 0 0 - -37.9598 -46.2749 22.5630 C 0 0 0 0 0 0 0 0 0 0 0 0 - -41.1306 -45.3615 21.6253 C 0 0 0 0 0 0 0 0 0 0 0 0 - -39.6726 -45.3897 21.1676 C 0 0 1 0 0 0 0 0 0 0 0 0 - -42.0733 -46.0923 20.6549 C 0 0 0 0 0 0 0 0 0 0 0 0 - -43.5241 -45.8148 21.0820 C 0 0 0 0 0 0 0 0 0 0 0 0 - -41.8679 -47.6141 20.6266 C 0 0 0 0 0 0 0 0 0 0 0 0 - -36.9837 -44.1619 23.5762 C 0 0 0 0 0 0 0 0 0 0 0 0 - -37.8967 -44.9116 22.7214 N 0 0 0 0 0 0 0 0 0 0 0 0 - -38.9712 -46.6068 21.6589 N 0 0 0 0 0 0 0 0 0 0 0 0 - -37.1621 -47.2051 23.1796 N 0 0 0 0 0 0 0 0 0 0 0 0 - -39.0708 -43.0645 21.8078 O 0 0 0 0 0 0 0 0 0 0 0 0 - -41.9525 -45.5714 19.3199 O 0 0 0 0 0 0 0 0 0 0 0 0 - -36.4780 -44.7615 16.8844 Br 0 0 0 0 0 0 0 0 0 0 0 0 - -41.4485 -45.2942 16.8316 H 0 0 0 0 0 0 0 0 0 0 0 0 - -39.2459 -44.9641 15.7961 H 0 0 0 0 0 0 0 0 0 0 0 0 - -37.3967 -45.0704 19.6788 H 0 0 0 0 0 0 0 0 0 0 0 0 - -41.2246 -45.7700 22.6398 H 0 0 0 0 0 0 0 0 0 0 0 0 - -41.4540 -44.3120 21.6836 H 0 0 0 0 0 0 0 0 0 0 0 0 - -44.2014 -46.3253 20.4048 H 0 0 0 0 0 0 0 0 0 0 0 0 - -43.7102 -44.7461 21.0470 H 0 0 0 0 0 0 0 0 0 0 0 0 - -43.6763 -46.1787 22.0932 H 0 0 0 0 0 0 0 0 0 0 0 0 - -42.5649 -48.0590 19.9227 H 0 0 0 0 0 0 0 0 0 0 0 0 - -42.0442 -48.0201 21.6182 H 0 0 0 0 0 0 0 0 0 0 0 0 - -40.8501 -47.8349 20.3190 H 0 0 0 0 0 0 0 0 0 0 0 0 - -37.4346 -44.0331 24.5712 H 0 0 0 0 0 0 0 0 0 0 0 0 - -36.0359 -44.7121 23.6716 H 0 0 0 0 0 0 0 0 0 0 0 0 - -36.7914 -43.1749 23.1303 H 0 0 0 0 0 0 0 0 0 0 0 0 - -39.1736 -47.5686 21.3995 H 0 0 0 0 0 0 0 0 0 0 0 0 - -36.4630 -46.8823 23.8068 H 0 0 0 0 0 0 0 0 0 0 0 0 - -37.3148 -48.1647 22.9746 H 0 0 0 0 0 0 0 0 0 0 0 0 - 1 2 2 0 - 1 5 1 0 - 2 6 1 0 - 3 4 1 0 - 3 6 2 0 - 4 5 2 0 - 4 10 1 0 - 5 19 1 0 - 6 20 1 0 - 7 10 1 0 - 7 15 1 0 - 7 18 2 0 - 8 15 1 0 - 8 16 2 0 - 8 17 1 0 - 10 9 1 6 - 9 11 1 0 - 10 16 1 0 - 11 12 1 0 - 11 13 1 0 - 11 19 1 0 - 14 15 1 0 - 1 21 1 0 - 2 22 1 0 - 3 23 1 0 - 9 24 1 0 - 9 25 1 0 - 12 26 1 0 - 12 27 1 0 - 12 28 1 0 - 13 29 1 0 - 13 30 1 0 - 13 31 1 0 - 14 32 1 0 - 14 33 1 0 - 14 34 1 0 - 16 35 1 0 - 17 36 1 0 - 17 37 1 0 -M CHG 1 16 1 -M END -> (4) -36830 - -> (4) -10.1021/jm4002154 - -> (4) -lig_1a - -> (4) --0.13820772819422386 -0.040676945971476065 -0.060662372188793647 -0.21887303345106743 0.20543394036389687 -0.039562082069145667 0.70342094249821996 0.48382276840306615 -0.10818807237051628 -0.069949148071778794 0.18115969545937874 -0.10976989023588798 -0.10976989023588798 0.05468243159152366 -0.42325972967051173 -0.40329446844957972 -0.47505244069002772 -0.4595672433843484 --0.31774922661684657 -0.046943338738905417 0.16996263511277535 0.15574612267114021 0.14501204140282967 0.090639015508664628 0.090639015508664628 0.059724261833203805 0.059724261833203805 -0.059724261833203805 0.059724261833203805 0.059724261833203805 0.059724261833203805 0.083447223378194352 0.083447223378194352 0.083447223378194352 0.33727068252660131 0.32757539100743627 -0.32757539100743627 - -> (4) -{"openfe_version": "1.8.0", "openff_toolkit_version": "0.18.0", "rdkit_version": "2025.09.4", "charge_method": "nagl_off", "nagl_version": "0.5.4", "nagl_model": "openff-gnn-am1bcc-1.0.0.pt"} - -$$$$ - - RDKit 3D - - 43 45 0 0 0 0 0 0 0 0999 V2000 - -38.2195 -44.8055 17.0642 C 0 0 0 0 0 0 0 0 0 0 0 0 - -39.5671 -44.6062 17.3433 C 0 0 0 0 0 0 0 0 0 0 0 0 - -37.9274 -45.8168 19.2363 C 0 0 0 0 0 0 0 0 0 0 0 0 - -32.8326 -44.7993 16.0919 C 0 0 0 0 0 0 0 0 0 0 0 0 - -39.2882 -45.6183 19.5460 C 0 0 0 0 0 0 0 0 0 0 0 0 - -37.3800 -45.3986 18.0108 C 0 0 0 0 0 0 0 0 0 0 0 0 - -40.0843 -44.9987 18.5703 C 0 0 0 0 0 0 0 0 0 0 0 0 - -33.8186 -45.3799 16.8575 C 0 0 0 0 0 0 0 0 0 0 0 0 - -31.9738 -46.2686 17.3935 C 0 0 0 0 0 0 0 0 0 0 0 0 - -40.0155 -44.5986 21.6655 C 0 0 0 0 0 0 0 0 0 0 0 0 - -39.1273 -44.2021 22.5865 C 0 0 0 0 0 0 0 0 0 0 0 0 - -38.1011 -46.3206 22.6634 C 0 0 0 0 0 0 0 0 0 0 0 0 - -35.2295 -45.0628 16.7765 C 0 0 0 0 0 0 0 0 0 0 0 0 - -39.8536 -45.9118 20.9393 C 0 0 1 0 0 0 0 0 0 0 0 0 - -41.1694 -46.7041 20.8953 C 0 0 0 0 0 0 0 0 0 0 0 0 - -30.8639 -47.0676 17.9426 C 0 0 0 0 0 0 0 0 0 0 0 0 - -39.0931 -42.8220 23.1470 C 0 0 0 0 0 0 0 0 0 0 0 0 - -33.2567 -46.3121 17.6985 N 0 0 0 0 0 0 0 0 0 0 0 0 - -38.9118 -46.7694 21.7052 N 0 0 0 0 0 0 0 0 0 0 0 0 - -37.2460 -47.0957 23.3110 N 0 0 0 0 0 0 0 0 0 0 0 0 - -35.9846 -45.5803 17.8219 N 0 0 0 0 0 0 0 0 0 0 0 0 - -35.6415 -44.3664 15.8554 O 0 0 0 0 0 0 0 0 0 0 0 0 - -31.6442 -45.3616 16.4260 O 0 0 0 0 0 0 0 0 0 0 0 0 - -38.1109 -45.0294 23.0224 O 0 0 0 0 0 0 0 0 0 0 0 0 - -41.3720 -44.7195 18.8185 F 0 0 0 0 0 0 0 0 0 0 0 0 - -29.6731 -46.7122 17.3861 F 0 0 0 0 0 0 0 0 0 0 0 0 - -37.8091 -42.4454 23.4058 F 0 0 0 0 0 0 0 0 0 0 0 0 - -37.8708 -44.4795 16.0927 H 0 0 0 0 0 0 0 0 0 0 0 0 - -40.2080 -44.1230 16.6125 H 0 0 0 0 0 0 0 0 0 0 0 0 - -37.2604 -46.2602 19.9725 H 0 0 0 0 0 0 0 0 0 0 0 0 - -32.8113 -44.0353 15.3295 H 0 0 0 0 0 0 0 0 0 0 0 0 - -40.8114 -43.9270 21.3525 H 0 0 0 0 0 0 0 0 0 0 0 0 - -41.4770 -47.0147 21.9006 H 0 0 0 0 0 0 0 0 0 0 0 0 - -41.0530 -47.6162 20.2969 H 0 0 0 0 0 0 0 0 0 0 0 0 - -41.9996 -46.1334 20.4680 H 0 0 0 0 0 0 0 0 0 0 0 0 - -31.0203 -48.1300 17.7385 H 0 0 0 0 0 0 0 0 0 0 0 0 - -30.7824 -46.9210 19.0222 H 0 0 0 0 0 0 0 0 0 0 0 0 - -39.6519 -42.7678 24.0836 H 0 0 0 0 0 0 0 0 0 0 0 0 - -39.5018 -42.0916 22.4413 H 0 0 0 0 0 0 0 0 0 0 0 0 - -38.8603 -47.7628 21.4962 H 0 0 0 0 0 0 0 0 0 0 0 0 - -37.1824 -48.0855 23.1030 H 0 0 0 0 0 0 0 0 0 0 0 0 - -36.6478 -46.7015 24.0276 H 0 0 0 0 0 0 0 0 0 0 0 0 - -35.4985 -46.0857 18.5602 H 0 0 0 0 0 0 0 0 0 0 0 0 - 1 2 2 0 - 1 6 1 0 - 2 7 1 0 - 3 5 1 0 - 3 6 2 0 - 4 8 2 0 - 4 23 1 0 - 5 7 2 0 - 5 14 1 0 - 6 21 1 0 - 7 25 1 0 - 8 13 1 0 - 8 18 1 0 - 9 16 1 0 - 9 18 2 0 - 9 23 1 0 - 10 11 2 0 - 10 14 1 0 - 11 17 1 0 - 11 24 1 0 - 12 19 2 0 - 12 20 1 0 - 12 24 1 0 - 13 21 1 0 - 13 22 2 0 - 14 15 1 6 - 14 19 1 0 - 16 26 1 0 - 17 27 1 0 - 1 28 1 0 - 2 29 1 0 - 3 30 1 0 - 4 31 1 0 - 10 32 1 0 - 15 33 1 0 - 15 34 1 0 - 15 35 1 0 - 16 36 1 0 - 16 37 1 0 - 17 38 1 0 - 17 39 1 0 - 19 40 1 0 - 20 41 1 0 - 20 42 1 0 - 21 43 1 0 -M CHG 1 19 1 -M END -> (5) -7.3200000000000003 - -> (5) -10.1021/acs.jmedchem.8b00002 - -> (5) -lig_45 - -> (5) --0.087260056200415589 -0.14167382186928459 -0.12972720331230828 0.19615760081729225 -0.15710418290177056 0.070069965061753295 0.12604163223227791 0.19554052883109382 0.44368195169886876 --0.14182311660328575 0.016103264031022094 0.59940808647593791 0.62714141243418986 0.14903534584960274 -0.11198412990847299 0.160907011565774 0.22355997198542885 -0.58872956401386922 --0.35517317420521449 -0.45545062786617946 -0.47437319523373317 -0.54670650130787557 -0.35839337474384975 -0.30825007325688075 -0.13155010706463524 -0.21000866955795952 -0.20399660235920616 -0.17300879591426185 0.16538039976081184 0.14189585679492286 0.070186909374802611 0.19319244855365089 0.068921219644158385 0.068921219644158385 0.068921219644158385 0.076822687027066253 -0.076822687027066253 0.090902697381585143 0.090902697381585143 0.32266023391207982 0.33194493883570958 0.33194493883570958 0.32212867968997289 - -> (5) -{"openfe_version": "1.8.0", "openff_toolkit_version": "0.18.0", "rdkit_version": "2025.09.4", "charge_method": "nagl_off", "nagl_version": "0.5.4", "nagl_model": "openff-gnn-am1bcc-1.0.0.pt"} - -$$$$ - - RDKit 3D - - 51 54 0 0 0 0 0 0 0 0999 V2000 - -39.2331 -44.9942 16.9142 C 0 0 0 0 0 0 0 0 0 0 0 0 - -36.6629 -44.0057 15.9801 C 0 0 0 0 0 0 0 0 0 0 0 0 - -35.6745 -45.2767 17.7813 C 0 0 0 0 0 0 0 0 0 0 0 0 - -40.4927 -45.1974 17.4728 C 0 0 0 0 0 0 0 0 0 0 0 0 - -35.3988 -43.8111 15.4237 C 0 0 0 0 0 0 0 0 0 0 0 0 - -34.4103 -45.0822 17.2249 C 0 0 0 0 0 0 0 0 0 0 0 0 - -38.2526 -45.0777 19.1181 C 0 0 0 0 0 0 0 0 0 0 0 0 - -36.8008 -44.7385 17.1590 C 0 0 0 0 0 0 0 0 0 0 0 0 - -38.1120 -44.9405 17.7363 C 0 0 0 0 0 0 0 0 0 0 0 0 - -39.5175 -45.2692 19.6995 C 0 0 0 0 0 0 0 0 0 0 0 0 - -40.6341 -45.3506 18.8562 C 0 0 0 0 0 0 0 0 0 0 0 0 - -34.2725 -44.3493 16.0460 C 0 0 0 0 0 0 0 0 0 0 0 0 - -38.9165 -44.2717 21.9586 C 0 0 0 0 0 0 0 0 0 0 0 0 - -37.9817 -46.2800 22.6094 C 0 0 0 0 0 0 0 0 0 0 0 0 - -41.1407 -45.3796 21.6207 C 0 0 0 0 0 0 0 0 0 0 0 0 - -39.6736 -45.3894 21.1922 C 0 0 1 0 0 0 0 0 0 0 0 0 - -42.0574 -46.1044 20.6214 C 0 0 0 0 0 0 0 0 0 0 0 0 - -43.5188 -45.8448 21.0229 C 0 0 0 0 0 0 0 0 0 0 0 0 - -41.8387 -47.6238 20.5761 C 0 0 0 0 0 0 0 0 0 0 0 0 - -37.0441 -44.1736 23.6714 C 0 0 0 0 0 0 0 0 0 0 0 0 - -31.9306 -44.7375 16.1904 C 0 0 0 0 0 0 0 0 0 0 0 0 - -37.9334 -44.9186 22.7880 N 0 0 0 0 0 0 0 0 0 0 0 0 - -38.9719 -46.6074 21.6806 N 0 0 0 0 0 0 0 0 0 0 0 0 - -37.1886 -47.2122 23.2290 N 0 0 0 0 0 0 0 0 0 0 0 0 - -39.1045 -43.0685 21.8767 O 0 0 0 0 0 0 0 0 0 0 0 0 - -41.9143 -45.5637 19.2965 O 0 0 0 0 0 0 0 0 0 0 0 0 - -33.0393 -44.1598 15.5026 O 0 0 0 0 0 0 0 0 0 0 0 0 - -39.1422 -44.8846 15.8363 H 0 0 0 0 0 0 0 0 0 0 0 0 - -37.5314 -43.5799 15.4833 H 0 0 0 0 0 0 0 0 0 0 0 0 - -35.7654 -45.8504 18.7006 H 0 0 0 0 0 0 0 0 0 0 0 0 - -41.3629 -45.2474 16.8232 H 0 0 0 0 0 0 0 0 0 0 0 0 - -35.2978 -43.2395 14.5051 H 0 0 0 0 0 0 0 0 0 0 0 0 - -33.5364 -45.5040 17.7139 H 0 0 0 0 0 0 0 0 0 0 0 0 - -37.3697 -45.0309 19.7533 H 0 0 0 0 0 0 0 0 0 0 0 0 - -41.2514 -45.8039 22.6270 H 0 0 0 0 0 0 0 0 0 0 0 0 - -41.4742 -44.3338 21.6881 H 0 0 0 0 0 0 0 0 0 0 0 0 - -44.1779 -46.3513 20.3251 H 0 0 0 0 0 0 0 0 0 0 0 0 - -43.7131 -44.7774 20.9990 H 0 0 0 0 0 0 0 0 0 0 0 0 - -43.6880 -46.2242 22.0256 H 0 0 0 0 0 0 0 0 0 0 0 0 - -42.5176 -48.0646 19.8521 H 0 0 0 0 0 0 0 0 0 0 0 0 - -42.0313 -48.0454 21.5581 H 0 0 0 0 0 0 0 0 0 0 0 0 - -40.8130 -47.8321 20.2860 H 0 0 0 0 0 0 0 0 0 0 0 0 - -37.5160 -44.0625 24.6589 H 0 0 0 0 0 0 0 0 0 0 0 0 - -36.0938 -44.7172 23.7783 H 0 0 0 0 0 0 0 0 0 0 0 0 - -36.8513 -43.1788 23.2434 H 0 0 0 0 0 0 0 0 0 0 0 0 - -31.0079 -44.5111 15.6507 H 0 0 0 0 0 0 0 0 0 0 0 0 - -32.0680 -45.8195 16.2609 H 0 0 0 0 0 0 0 0 0 0 0 0 - -31.8756 -44.3130 17.1957 H 0 0 0 0 0 0 0 0 0 0 0 0 - -39.1608 -47.5673 21.4038 H 0 0 0 0 0 0 0 0 0 0 0 0 - -36.5050 -46.8926 23.8746 H 0 0 0 0 0 0 0 0 0 0 0 0 - -37.3291 -48.1702 23.0077 H 0 0 0 0 0 0 0 0 0 0 0 0 - 1 4 2 0 - 1 9 1 0 - 2 5 2 0 - 2 8 1 0 - 3 6 1 0 - 3 8 2 0 - 4 11 1 0 - 5 12 1 0 - 6 12 2 0 - 7 9 2 0 - 7 10 1 0 - 8 9 1 0 - 10 11 2 0 - 10 16 1 0 - 11 26 1 0 - 12 27 1 0 - 13 16 1 0 - 13 22 1 0 - 13 25 2 0 - 14 22 1 0 - 14 23 2 0 - 14 24 1 0 - 16 15 1 6 - 15 17 1 0 - 16 23 1 0 - 17 18 1 0 - 17 19 1 0 - 17 26 1 0 - 20 22 1 0 - 21 27 1 0 - 1 28 1 0 - 2 29 1 0 - 3 30 1 0 - 4 31 1 0 - 5 32 1 0 - 6 33 1 0 - 7 34 1 0 - 15 35 1 0 - 15 36 1 0 - 18 37 1 0 - 18 38 1 0 - 18 39 1 0 - 19 40 1 0 - 19 41 1 0 - 19 42 1 0 - 20 43 1 0 - 20 44 1 0 - 20 45 1 0 - 21 46 1 0 - 21 47 1 0 - 21 48 1 0 - 23 49 1 0 - 24 50 1 0 - 24 51 1 0 -M CHG 1 23 1 -M END -> (6) -7197 - -> (6) -10.1021/jm4002154 - -> (6) -lig_16 - -> (6) --0.061248306258052006 -0.080218471659749158 -0.080218471659749158 -0.13346163190755189 -0.17982292927655519 -0.17982292927655519 -0.064574204458325513 -0.038458734823792591 --0.04675184197577776 -0.22834187008294404 0.18581574402895629 0.14233108602610289 0.69921965144720732 0.48190469287481963 -0.11176379777345002 0.06467235826101958 0.18079579614248931 --0.11135203398618043 -0.11135203398618043 0.053100407050520763 0.12008615575876891 -0.42525693036469758 -0.40682350851449312 -0.47663497187051118 -0.46057098366174043 -0.32295244194421113 --0.31841673709306062 0.14153266690817534 0.13638503097143828 0.13638503097143828 0.16524196408835112 0.14913123093691527 0.14913123093691527 0.12187793098536193 0.088959641681582324 -0.088959641681582324 0.058142222391039715 0.058142222391039715 0.058142222391039715 0.058142222391039715 0.058142222391039715 0.058142222391039715 0.081865109430224292 0.081865109430224292 -0.081865109430224292 0.050097279177576885 0.050097279177576885 0.050097279177576885 0.3357853963240689 0.32599333666411101 0.32599333666411101 - -> (6) -{"openfe_version": "1.8.0", "openff_toolkit_version": "0.18.0", "rdkit_version": "2025.09.4", "charge_method": "nagl_off", "nagl_version": "0.5.4", "nagl_model": "openff-gnn-am1bcc-1.0.0.pt"} - -$$$$ - - RDKit 3D - - 47 50 0 0 0 0 0 0 0 0999 V2000 - -34.2682 -44.3482 16.0497 C 0 0 0 0 0 0 0 0 0 0 0 0 - -34.4070 -45.0810 17.2283 C 0 0 0 0 0 0 0 0 0 0 0 0 - -35.3941 -43.8099 15.4264 C 0 0 0 0 0 0 0 0 0 0 0 0 - -35.6717 -45.2757 17.7837 C 0 0 0 0 0 0 0 0 0 0 0 0 - -36.6587 -44.0046 15.9817 C 0 0 0 0 0 0 0 0 0 0 0 0 - -39.2297 -44.9930 16.9141 C 0 0 0 0 0 0 0 0 0 0 0 0 - -40.4897 -45.1962 17.4719 C 0 0 0 0 0 0 0 0 0 0 0 0 - -38.2505 -45.0769 19.1185 C 0 0 0 0 0 0 0 0 0 0 0 0 - -36.7975 -44.7375 17.1604 C 0 0 0 0 0 0 0 0 0 0 0 0 - -38.1091 -44.9395 17.7369 C 0 0 0 0 0 0 0 0 0 0 0 0 - -39.5158 -45.2685 19.6992 C 0 0 0 0 0 0 0 0 0 0 0 0 - -40.6319 -45.3496 18.8552 C 0 0 0 0 0 0 0 0 0 0 0 0 - -38.9160 -44.2713 21.9588 C 0 0 0 0 0 0 0 0 0 0 0 0 - -37.9818 -46.2798 22.6098 C 0 0 0 0 0 0 0 0 0 0 0 0 - -41.1401 -45.3790 21.6194 C 0 0 0 0 0 0 0 0 0 0 0 0 - -39.6728 -45.3888 21.1918 C 0 0 1 0 0 0 0 0 0 0 0 0 - -42.0563 -46.1036 20.6195 C 0 0 0 0 0 0 0 0 0 0 0 0 - -43.5180 -45.8439 21.0202 C 0 0 0 0 0 0 0 0 0 0 0 0 - -41.8376 -47.6230 20.5740 C 0 0 0 0 0 0 0 0 0 0 0 0 - -37.0447 -44.1736 23.6727 C 0 0 0 0 0 0 0 0 0 0 0 0 - -37.9335 -44.9184 22.7887 N 0 0 0 0 0 0 0 0 0 0 0 0 - -38.9715 -46.6070 21.6804 N 0 0 0 0 0 0 0 0 0 0 0 0 - -37.1892 -47.2122 23.2297 N 0 0 0 0 0 0 0 0 0 0 0 0 - -39.1039 -43.0681 21.8770 O 0 0 0 0 0 0 0 0 0 0 0 0 - -41.9123 -45.5627 19.2947 O 0 0 0 0 0 0 0 0 0 0 0 0 - -33.2833 -44.1952 15.6184 H 0 0 0 0 0 0 0 0 0 0 0 0 - -33.5304 -45.4987 17.7146 H 0 0 0 0 0 0 0 0 0 0 0 0 - -35.2866 -43.2380 14.5094 H 0 0 0 0 0 0 0 0 0 0 0 0 - -35.7633 -45.8492 18.7031 H 0 0 0 0 0 0 0 0 0 0 0 0 - -37.5271 -43.5785 15.4850 H 0 0 0 0 0 0 0 0 0 0 0 0 - -39.1382 -44.8833 15.8362 H 0 0 0 0 0 0 0 0 0 0 0 0 - -41.3595 -45.2460 16.8218 H 0 0 0 0 0 0 0 0 0 0 0 0 - -37.3680 -45.0303 19.7543 H 0 0 0 0 0 0 0 0 0 0 0 0 - -41.2514 -45.8035 22.6256 H 0 0 0 0 0 0 0 0 0 0 0 0 - -41.4736 -44.3332 21.6868 H 0 0 0 0 0 0 0 0 0 0 0 0 - -44.1766 -46.3502 20.3219 H 0 0 0 0 0 0 0 0 0 0 0 0 - -43.7121 -44.7765 20.9963 H 0 0 0 0 0 0 0 0 0 0 0 0 - -43.6877 -46.2235 22.0227 H 0 0 0 0 0 0 0 0 0 0 0 0 - -42.5161 -48.0636 19.8496 H 0 0 0 0 0 0 0 0 0 0 0 0 - -42.0309 -48.0447 21.5559 H 0 0 0 0 0 0 0 0 0 0 0 0 - -40.8119 -47.8313 20.2846 H 0 0 0 0 0 0 0 0 0 0 0 0 - -37.5171 -44.0627 24.6599 H 0 0 0 0 0 0 0 0 0 0 0 0 - -36.0945 -44.7174 23.7801 H 0 0 0 0 0 0 0 0 0 0 0 0 - -36.8515 -43.1788 23.2450 H 0 0 0 0 0 0 0 0 0 0 0 0 - -39.1602 -47.5668 21.4033 H 0 0 0 0 0 0 0 0 0 0 0 0 - -36.5059 -46.8927 23.8758 H 0 0 0 0 0 0 0 0 0 0 0 0 - -37.3295 -48.1701 23.0082 H 0 0 0 0 0 0 0 0 0 0 0 0 - 1 2 2 0 - 1 3 1 0 - 2 4 1 0 - 3 5 2 0 - 4 9 2 0 - 5 9 1 0 - 6 7 2 0 - 6 10 1 0 - 7 12 1 0 - 8 10 2 0 - 8 11 1 0 - 9 10 1 0 - 11 12 2 0 - 11 16 1 0 - 12 25 1 0 - 13 16 1 0 - 13 21 1 0 - 13 24 2 0 - 14 21 1 0 - 14 22 2 0 - 14 23 1 0 - 16 15 1 6 - 15 17 1 0 - 16 22 1 0 - 17 18 1 0 - 17 19 1 0 - 17 25 1 0 - 20 21 1 0 - 1 26 1 0 - 2 27 1 0 - 3 28 1 0 - 4 29 1 0 - 5 30 1 0 - 6 31 1 0 - 7 32 1 0 - 8 33 1 0 - 15 34 1 0 - 15 35 1 0 - 18 36 1 0 - 18 37 1 0 - 18 38 1 0 - 19 39 1 0 - 19 40 1 0 - 19 41 1 0 - 20 42 1 0 - 20 43 1 0 - 20 44 1 0 - 22 45 1 0 - 23 46 1 0 - 23 47 1 0 -M CHG 1 22 1 -M END -> (7) -455 - -> (7) -10.1021/jm4002154 - -> (7) -lig_11 - -> (7) --0.11581871753677409 -0.12502552664026301 -0.12502552664026301 -0.11280629878982584 -0.11280629878982584 -0.057765875962820457 -0.13289047872766535 -0.061805901137438224 --0.010692187604751992 -0.054761276600208686 -0.2277707169030575 0.18638685250535925 0.69979083442941625 0.48247584605470617 -0.11119265949472468 0.06524346673742254 0.18136687481656988 --0.11078088080629389 -0.11078088080629389 0.05367151552692373 -0.4246856281731991 -0.40625223612531702 -0.47606369948133509 -0.45999974107488673 -0.3223812589620022 0.13656213784471471 -0.13919532203927953 0.13919532203927953 0.1384579082752796 0.1384579082752796 0.14210382008806188 0.16581311726823766 0.12244906181350668 0.089530794861468865 0.089530794861468865 -0.058713338318023278 0.058713338318023278 0.058713338318023278 0.058713338318023278 0.058713338318023278 0.058713338318023278 0.082436247708949639 0.082436247708949639 0.082436247708949639 -0.33635651970163305 0.32656446004167516 0.32656446004167516 - -> (7) -{"openfe_version": "1.8.0", "openff_toolkit_version": "0.18.0", "rdkit_version": "2025.09.4", "charge_method": "nagl_off", "nagl_version": "0.5.4", "nagl_model": "openff-gnn-am1bcc-1.0.0.pt"} - -$$$$ - - RDKit 3D - - 51 54 0 0 0 0 0 0 0 0999 V2000 - -33.3279 -45.7707 17.6348 C 0 0 0 0 0 0 0 0 0 0 0 0 - -32.3998 -46.3455 18.1337 C 0 0 0 0 0 0 0 0 0 0 0 0 - -39.3623 -44.9664 16.9291 C 0 0 0 0 0 0 0 0 0 0 0 0 - -40.6159 -45.1795 17.5073 C 0 0 0 0 0 0 0 0 0 0 0 0 - -35.7353 -45.3707 17.6195 C 0 0 0 0 0 0 0 0 0 0 0 0 - -38.3573 -45.1090 19.1034 C 0 0 0 0 0 0 0 0 0 0 0 0 - -34.3685 -44.1917 16.0671 C 0 0 0 0 0 0 0 0 0 0 0 0 - -36.6394 -43.8034 16.0925 C 0 0 0 0 0 0 0 0 0 0 0 0 - -34.4709 -45.1099 17.0961 C 0 0 0 0 0 0 0 0 0 0 0 0 - -38.2034 -44.9303 17.7156 C 0 0 0 0 0 0 0 0 0 0 0 0 - -36.8686 -44.7049 17.1328 C 0 0 0 0 0 0 0 0 0 0 0 0 - -39.6121 -45.3134 19.7042 C 0 0 0 0 0 0 0 0 0 0 0 0 - -40.7399 -45.3646 18.8857 C 0 0 0 0 0 0 0 0 0 0 0 0 - -38.9218 -44.3592 21.9394 C 0 0 0 0 0 0 0 0 0 0 0 0 - -37.9699 -46.3859 22.4991 C 0 0 0 0 0 0 0 0 0 0 0 0 - -41.1845 -45.4214 21.6644 C 0 0 0 0 0 0 0 0 0 0 0 0 - -39.7320 -45.4554 21.1980 C 0 0 1 0 0 0 0 0 0 0 0 0 - -42.1446 -46.1034 20.6742 C 0 0 0 0 0 0 0 0 0 0 0 0 - -31.2930 -47.0584 18.7654 C 0 0 0 0 0 0 0 0 0 0 0 0 - -43.5870 -45.7897 21.1020 C 0 0 0 0 0 0 0 0 0 0 0 0 - -41.9812 -47.6288 20.6169 C 0 0 0 0 0 0 0 0 0 0 0 0 - -36.8845 -44.2944 23.4477 C 0 0 0 0 0 0 0 0 0 0 0 0 - -35.4271 -43.5344 15.5474 N 0 0 0 0 0 0 0 0 0 0 0 0 - -37.8820 -45.0264 22.6768 N 0 0 0 0 0 0 0 0 0 0 0 0 - -39.0361 -46.6906 21.6487 N 0 0 0 0 0 0 0 0 0 0 0 0 - -37.1488 -47.3352 23.0523 N 0 0 0 0 0 0 0 0 0 0 0 0 - -39.1025 -43.1534 21.8874 O 0 0 0 0 0 0 0 0 0 0 0 0 - -42.0120 -45.5655 19.3470 O 0 0 0 0 0 0 0 0 0 0 0 0 - -39.3070 -44.8405 15.8501 H 0 0 0 0 0 0 0 0 0 0 0 0 - -41.4959 -45.2072 16.8697 H 0 0 0 0 0 0 0 0 0 0 0 0 - -35.8328 -46.1007 18.4221 H 0 0 0 0 0 0 0 0 0 0 0 0 - -37.4775 -45.0666 19.7444 H 0 0 0 0 0 0 0 0 0 0 0 0 - -33.4127 -43.9428 15.6166 H 0 0 0 0 0 0 0 0 0 0 0 0 - -37.4503 -43.2283 15.6535 H 0 0 0 0 0 0 0 0 0 0 0 0 - -41.2792 -45.8642 22.6644 H 0 0 0 0 0 0 0 0 0 0 0 0 - -41.4899 -44.3700 21.7632 H 0 0 0 0 0 0 0 0 0 0 0 0 - -30.3321 -46.6732 18.4135 H 0 0 0 0 0 0 0 0 0 0 0 0 - -31.3281 -46.9448 19.8531 H 0 0 0 0 0 0 0 0 0 0 0 0 - -31.3393 -48.1268 18.5347 H 0 0 0 0 0 0 0 0 0 0 0 0 - -44.3063 -46.2155 20.3930 H 0 0 0 0 0 0 0 0 0 0 0 0 - -43.7647 -44.7078 21.1026 H 0 0 0 0 0 0 0 0 0 0 0 0 - -43.8078 -46.1798 22.1009 H 0 0 0 0 0 0 0 0 0 0 0 0 - -42.7546 -48.0752 19.9804 H 0 0 0 0 0 0 0 0 0 0 0 0 - -42.0559 -48.0778 21.6126 H 0 0 0 0 0 0 0 0 0 0 0 0 - -41.0285 -47.9254 20.1692 H 0 0 0 0 0 0 0 0 0 0 0 0 - -37.3876 -43.7131 24.2246 H 0 0 0 0 0 0 0 0 0 0 0 0 - -36.1744 -44.9792 23.9152 H 0 0 0 0 0 0 0 0 0 0 0 0 - -36.3408 -43.6226 22.7771 H 0 0 0 0 0 0 0 0 0 0 0 0 - -39.2740 -47.6464 21.3970 H 0 0 0 0 0 0 0 0 0 0 0 0 - -36.3793 -47.0878 23.6680 H 0 0 0 0 0 0 0 0 0 0 0 0 - -37.2915 -48.3238 22.8598 H 0 0 0 0 0 0 0 0 0 0 0 0 - 1 2 3 0 - 1 9 1 0 - 2 19 1 0 - 3 4 2 0 - 3 10 1 0 - 4 13 1 0 - 5 9 2 0 - 5 11 1 0 - 6 10 2 0 - 6 12 1 0 - 7 9 1 0 - 7 23 2 0 - 8 11 2 0 - 8 23 1 0 - 10 11 1 0 - 12 13 2 0 - 12 17 1 0 - 13 28 1 0 - 14 17 1 0 - 14 24 1 0 - 14 27 2 0 - 15 24 1 0 - 15 25 2 0 - 15 26 1 0 - 17 16 1 6 - 16 18 1 0 - 17 25 1 0 - 18 20 1 0 - 18 21 1 0 - 18 28 1 0 - 22 24 1 0 - 3 29 1 0 - 4 30 1 0 - 5 31 1 0 - 6 32 1 0 - 7 33 1 0 - 8 34 1 0 - 16 35 1 0 - 16 36 1 0 - 19 37 1 0 - 19 38 1 0 - 19 39 1 0 - 20 40 1 0 - 20 41 1 0 - 20 42 1 0 - 21 43 1 0 - 21 44 1 0 - 21 45 1 0 - 22 46 1 0 - 22 47 1 0 - 22 48 1 0 - 25 49 1 0 - 26 50 1 0 - 26 51 1 0 -M CHG 1 25 1 -M END -> (8) -10 - -> (8) -10.1021/jm4002154 - -> (8) -lig_36 - -> (8) --0.13850266464492855 -0.066937573034973705 -0.061648100395413005 -0.13026923664352474 -0.061775441993685329 -0.062775201876373851 0.42394673101165714 0.42326002589919987 --0.084543086369247997 -0.040969364125938976 -0.13781673439285336 -0.22371888883850155 0.18623707465389194 0.69934909812667789 0.48203410975196781 -0.11163438834688243 0.064685307662276662 -0.18092519811847629 -0.016817115028114879 -0.11122261710903224 -0.11122261710903224 0.053229809026507771 -0.66107738741180477 -0.42512748368522701 -0.40669406183502255 -0.47650552519104061 --0.46044156678459225 -0.32282302506706295 0.14221990875461521 0.16603895298698368 0.14979634455898228 0.12452649347045842 0.037855699877528584 0.03115901372888509 0.089089058558730519 -0.089089058558730519 0.061768844942836201 0.061768844942836201 0.061768844942836201 0.058271631817607319 0.058271631817607319 0.058271631817607319 0.058271631817607319 0.058271631817607319 -0.058271631817607319 0.081994526307372487 0.081994526307372487 0.081994526307372487 0.33591478339889469 0.32612275354125919 0.32612275354125919 - -> (8) -{"openfe_version": "1.8.0", "openff_toolkit_version": "0.18.0", "rdkit_version": "2025.09.4", "charge_method": "nagl_off", "nagl_version": "0.5.4", "nagl_model": "openff-gnn-am1bcc-1.0.0.pt"} - -$$$$ - - RDKit 3D - - 37 39 0 0 0 0 0 0 0 0999 V2000 - -38.0090 -45.6315 19.1393 C 0 0 0 0 0 0 0 0 0 0 0 0 - -39.9692 -45.1638 17.2217 C 0 0 0 0 0 0 0 0 0 0 0 0 - -35.2004 -46.0152 17.8190 C 0 0 0 0 0 0 0 0 0 0 0 0 - -35.7492 -44.0607 16.6787 C 0 0 0 0 0 0 0 0 0 0 0 0 - -33.6155 -44.8304 16.6899 C 0 0 0 0 0 0 0 0 0 0 0 0 - -37.6132 -45.2875 17.8281 C 0 0 0 0 0 0 0 0 0 0 0 0 - -36.2008 -45.1247 17.4552 C 0 0 0 0 0 0 0 0 0 0 0 0 - -39.3683 -45.7328 19.5198 C 0 0 0 0 0 0 0 0 0 0 0 0 - -38.6278 -45.0833 16.8841 C 0 0 0 0 0 0 0 0 0 0 0 0 - -40.3241 -45.4655 18.5293 C 0 0 0 0 0 0 0 0 0 0 0 0 - -37.8478 -46.5876 22.5205 C 0 0 0 0 0 0 0 0 0 0 0 0 - -39.9995 -44.7608 21.7798 C 0 0 0 0 0 0 0 0 0 0 0 0 - -38.7192 -44.0071 22.0925 C 0 0 0 0 0 0 0 0 0 0 0 0 - -39.7803 -46.0487 20.9633 C 0 0 1 0 0 0 0 0 0 0 0 0 - -41.0746 -46.8925 21.0561 C 0 0 0 0 0 0 0 0 0 0 0 0 - -33.9031 -45.8991 17.4539 N 0 0 0 0 0 0 0 0 0 0 0 0 - -34.4728 -43.8844 16.2757 N 0 0 0 0 0 0 0 0 0 0 0 0 - -38.7506 -46.9116 21.5963 N 0 0 0 0 0 0 0 0 0 0 0 0 - -37.0324 -47.5182 23.0029 N 0 0 0 0 0 0 0 0 0 0 0 0 - -38.3177 -44.8022 15.6093 F 0 0 0 0 0 0 0 0 0 0 0 0 - -41.6313 -45.4746 18.8190 F 0 0 0 0 0 0 0 0 0 0 0 0 - -37.6579 -44.9875 23.1728 S 0 0 0 0 0 0 0 0 0 0 0 0 - -37.2332 -45.7867 19.8872 H 0 0 0 0 0 0 0 0 0 0 0 0 - -40.7339 -44.9813 16.4745 H 0 0 0 0 0 0 0 0 0 0 0 0 - -35.4136 -46.8925 18.4228 H 0 0 0 0 0 0 0 0 0 0 0 0 - -36.4263 -43.2813 16.3387 H 0 0 0 0 0 0 0 0 0 0 0 0 - -32.5860 -44.7195 16.3733 H 0 0 0 0 0 0 0 0 0 0 0 0 - -40.5093 -44.9964 22.7248 H 0 0 0 0 0 0 0 0 0 0 0 0 - -40.6767 -44.0894 21.2351 H 0 0 0 0 0 0 0 0 0 0 0 0 - -38.1722 -43.7361 21.1858 H 0 0 0 0 0 0 0 0 0 0 0 0 - -38.9602 -43.0733 22.6095 H 0 0 0 0 0 0 0 0 0 0 0 0 - -41.2025 -47.2948 22.0687 H 0 0 0 0 0 0 0 0 0 0 0 0 - -41.0496 -47.7469 20.3704 H 0 0 0 0 0 0 0 0 0 0 0 0 - -41.9727 -46.3045 20.8405 H 0 0 0 0 0 0 0 0 0 0 0 0 - -38.7379 -47.8855 21.3012 H 0 0 0 0 0 0 0 0 0 0 0 0 - -37.0923 -48.4785 22.6827 H 0 0 0 0 0 0 0 0 0 0 0 0 - -36.3461 -47.2767 23.7080 H 0 0 0 0 0 0 0 0 0 0 0 0 - 1 6 2 0 - 1 8 1 0 - 2 9 2 0 - 2 10 1 0 - 3 7 2 0 - 3 16 1 0 - 4 7 1 0 - 4 17 2 0 - 5 16 2 0 - 5 17 1 0 - 6 7 1 0 - 6 9 1 0 - 8 10 2 0 - 8 14 1 0 - 9 20 1 0 - 10 21 1 0 - 11 18 2 0 - 11 19 1 0 - 11 22 1 0 - 12 13 1 0 - 12 14 1 0 - 13 22 1 0 - 14 15 1 6 - 14 18 1 0 - 1 23 1 0 - 2 24 1 0 - 3 25 1 0 - 4 26 1 0 - 5 27 1 0 - 12 28 1 0 - 12 29 1 0 - 13 30 1 0 - 13 31 1 0 - 15 32 1 0 - 15 33 1 0 - 15 34 1 0 - 18 35 1 0 - 19 36 1 0 - 19 37 1 0 -M CHG 1 18 1 -M END -> (9) -6.6200000000000001 - -> (9) -10.1016/j.bmcl.2014.03.025 - -> (9) -lig_02 - -> (9) --0.072870730145557505 -0.19038902102289973 0.46754503370942296 0.46754503370942296 0.64574939133347686 -0.07450568555174647 -0.27020946024237452 -0.17516365526495753 0.20065447808922948 -0.16122843445958318 0.39908155919732274 -0.08173767356453715 -0.061795967354162318 0.10437273354949178 -0.11638261256991206 -0.68505269168196503 -0.68505269168196503 -0.35671508191405116 --0.5002598750430185 -0.1192969369727212 -0.13869638620196162 -0.013459826542718991 0.15052077295006933 0.18499207617463292 0.039472394899742025 0.039472394899742025 0.06163931013764562 -0.096674838380233663 0.096674838380233663 0.11710427077235402 0.11710427077235402 0.070771605984584707 0.070771605984584707 0.070771605984584707 0.32039994122208776 0.32952085258187475 -0.32952085258187475 - -> (9) -{"openfe_version": "1.8.0", "openff_toolkit_version": "0.18.0", "rdkit_version": "2025.09.4", "charge_method": "nagl_off", "nagl_version": "0.5.4", "nagl_model": "openff-gnn-am1bcc-1.0.0.pt"} - -$$$$ - - RDKit 3D - - 45 48 0 0 0 0 0 0 0 0999 V2000 - -29.8986 -46.6441 17.3497 C 0 0 0 0 0 0 0 0 0 0 0 0 - -31.5877 -45.2101 16.2984 C 0 0 0 0 0 0 0 0 0 0 0 0 - -38.2805 -44.7195 17.1426 C 0 0 0 0 0 0 0 0 0 0 0 0 - -39.6232 -44.5082 17.4349 C 0 0 0 0 0 0 0 0 0 0 0 0 - -32.9166 -44.8258 16.1613 C 0 0 0 0 0 0 0 0 0 0 0 0 - -37.9997 -45.7627 19.3052 C 0 0 0 0 0 0 0 0 0 0 0 0 - -32.2706 -46.8151 17.9247 C 0 0 0 0 0 0 0 0 0 0 0 0 - -37.3803 -43.9268 23.4564 C 0 0 0 0 0 0 0 0 0 0 0 0 - -31.2524 -46.2242 17.1916 C 0 0 0 0 0 0 0 0 0 0 0 0 - -39.3509 -45.5492 19.6316 C 0 0 0 0 0 0 0 0 0 0 0 0 - -37.4535 -45.3375 18.0800 C 0 0 0 0 0 0 0 0 0 0 0 0 - -40.1397 -44.9086 18.6638 C 0 0 0 0 0 0 0 0 0 0 0 0 - -38.1905 -44.8571 22.8522 C 0 0 0 0 0 0 0 0 0 0 0 0 - -33.8633 -45.4777 16.9414 C 0 0 0 0 0 0 0 0 0 0 0 0 - -38.1441 -46.2798 22.6333 C 0 0 0 0 0 0 0 0 0 0 0 0 - -35.2927 -45.1037 16.8335 C 0 0 0 0 0 0 0 0 0 0 0 0 - -40.3902 -44.7179 21.8007 C 0 0 0 0 0 0 0 0 0 0 0 0 - -39.9335 -45.9673 20.9954 C 0 0 1 0 0 0 0 0 0 0 0 0 - -41.1570 -46.8828 20.7721 C 0 0 0 0 0 0 0 0 0 0 0 0 - -28.7980 -46.9875 17.4797 N 0 0 0 0 0 0 0 0 0 0 0 0 - -33.5705 -46.4623 17.8230 N 0 0 0 0 0 0 0 0 0 0 0 0 - -37.9661 -42.6859 23.3732 N 0 0 0 0 0 0 0 0 0 0 0 0 - -39.1313 -42.8186 22.7429 N 0 0 0 0 0 0 0 0 0 0 0 0 - -38.9895 -46.8083 21.7942 N 0 0 0 0 0 0 0 0 0 0 0 0 - -39.2452 -44.1120 22.4346 N 0 0 0 0 0 0 0 0 0 0 0 0 - -37.2378 -47.0744 23.2955 N 0 0 0 0 0 0 0 0 0 0 0 0 - -36.0706 -45.5588 17.8863 N 0 0 0 0 0 0 0 0 0 0 0 0 - -35.6499 -44.4284 15.8757 O 0 0 0 0 0 0 0 0 0 0 0 0 - -41.4333 -44.6519 18.9038 F 0 0 0 0 0 0 0 0 0 0 0 0 - -30.8193 -44.7246 15.7151 H 0 0 0 0 0 0 0 0 0 0 0 0 - -37.8785 -44.4054 16.1907 H 0 0 0 0 0 0 0 0 0 0 0 0 - -40.2656 -44.0332 16.7082 H 0 0 0 0 0 0 0 0 0 0 0 0 - -33.2035 -44.0462 15.4711 H 0 0 0 0 0 0 0 0 0 0 0 0 - -37.3624 -46.2679 20.0159 H 0 0 0 0 0 0 0 0 0 0 0 0 - -32.0093 -47.6023 18.6164 H 0 0 0 0 0 0 0 0 0 0 0 0 - -36.4301 -44.1376 23.9244 H 0 0 0 0 0 0 0 0 0 0 0 0 - -40.8587 -43.9929 21.1189 H 0 0 0 0 0 0 0 0 0 0 0 0 - -41.1169 -45.0217 22.5686 H 0 0 0 0 0 0 0 0 0 0 0 0 - -41.5740 -47.1821 21.7450 H 0 0 0 0 0 0 0 0 0 0 0 0 - -41.9213 -46.3394 20.1972 H 0 0 0 0 0 0 0 0 0 0 0 0 - -40.8473 -47.7791 20.2147 H 0 0 0 0 0 0 0 0 0 0 0 0 - -37.2261 -48.0612 23.1338 H 0 0 0 0 0 0 0 0 0 0 0 0 - -36.5905 -46.6654 23.9387 H 0 0 0 0 0 0 0 0 0 0 0 0 - -35.6036 -46.1021 18.5839 H 0 0 0 0 0 0 0 0 0 0 0 0 - -39.0075 -47.8018 21.6815 H 0 0 0 0 0 0 0 0 0 0 0 0 - 1 9 1 0 - 1 20 3 0 - 2 5 2 0 - 2 9 1 0 - 3 4 2 0 - 3 11 1 0 - 4 12 1 0 - 5 14 1 0 - 6 10 1 0 - 6 11 2 0 - 7 9 2 0 - 7 21 1 0 - 8 13 2 0 - 8 22 1 0 - 10 12 2 0 - 10 18 1 0 - 11 27 1 0 - 12 29 1 0 - 13 15 1 0 - 13 25 1 0 - 14 16 1 0 - 14 21 2 0 - 15 24 2 0 - 15 26 1 0 - 16 27 1 0 - 16 28 2 0 - 17 18 1 0 - 17 25 1 0 - 18 19 1 6 - 18 24 1 0 - 22 23 2 0 - 23 25 1 0 - 2 30 1 0 - 3 31 1 0 - 4 32 1 0 - 5 33 1 0 - 6 34 1 0 - 7 35 1 0 - 8 36 1 0 - 17 37 1 0 - 17 38 1 0 - 19 39 1 0 - 19 40 1 0 - 19 41 1 0 - 26 42 1 0 - 26 43 1 0 - 27 44 1 0 - 24 45 1 0 -M CHG 1 24 1 -M END -> (10) -8.6999999999999993 - -> (10) -10.1021/acsmedchemlett.9b00181 - -> (10) -lig_74 - -> (10) -0.2549954429268837 -0.050060562789440155 -0.080950327217578888 -0.12626560777425766 -0.21898747235536575 -0.13156857341527939 0.4520784392952919 0.41493693739175797 -0.11120452731847763 --0.17819885164499283 0.087892308831214905 0.12866855412721634 -0.45763634890317917 0.38663468509912491 0.55841029435396194 0.59936786442995071 0.03011678159236908 0.11066007614135742 --0.12321998924016953 -0.34208088368177414 -0.61834501475095749 -0.32156222313642502 -0.082448773086071014 -0.36007802933454514 0.11049909144639969 -0.50678526610136032 -0.46614303439855576 --0.54503261297941208 -0.13834203034639359 0.16433421522378922 0.17836042493581772 0.17095840722322464 0.16962481290102005 0.13475305587053299 0.052146084606647491 0.082492776215076447 -0.11251828819513321 0.11251828819513321 0.073805756866931915 0.073805756866931915 0.073805756866931915 0.33747995644807816 0.33747995644807816 0.32890001684427261 0.32166609913110733 - -> (10) -{"openfe_version": "1.8.0", "openff_toolkit_version": "0.18.0", "rdkit_version": "2025.09.4", "charge_method": "nagl_off", "nagl_version": "0.5.4", "nagl_model": "openff-gnn-am1bcc-1.0.0.pt"} - -$$$$ - - RDKit 3D - - 48 50 0 0 0 0 0 0 0 0999 V2000 - -38.1986 -44.7279 17.0306 C 0 0 0 0 0 0 0 0 0 0 0 0 - -39.5465 -44.5151 17.3023 C 0 0 0 0 0 0 0 0 0 0 0 0 - -37.9581 -45.7840 19.1932 C 0 0 0 0 0 0 0 0 0 0 0 0 - -32.7541 -44.9904 16.2592 C 0 0 0 0 0 0 0 0 0 0 0 0 - -32.3064 -46.9624 18.0197 C 0 0 0 0 0 0 0 0 0 0 0 0 - -39.3098 -45.5627 19.4988 C 0 0 0 0 0 0 0 0 0 0 0 0 - -37.3934 -45.3552 17.9797 C 0 0 0 0 0 0 0 0 0 0 0 0 - -40.0830 -44.9185 18.5225 C 0 0 0 0 0 0 0 0 0 0 0 0 - -33.7860 -45.5696 16.9685 C 0 0 0 0 0 0 0 0 0 0 0 0 - -31.2723 -46.3866 17.3159 C 0 0 0 0 0 0 0 0 0 0 0 0 - -38.1808 -46.3253 22.6421 C 0 0 0 0 0 0 0 0 0 0 0 0 - -35.1891 -45.1309 16.8037 C 0 0 0 0 0 0 0 0 0 0 0 0 - -40.1407 -44.6357 21.6789 C 0 0 1 0 0 0 0 0 0 0 0 0 - -38.8211 -44.1050 22.2297 C 0 0 1 0 0 0 0 0 0 0 0 0 - -39.8943 -45.9153 20.8681 C 0 0 1 0 0 0 0 0 0 0 0 0 - -41.1730 -46.7582 20.7373 C 0 0 0 0 0 0 0 0 0 0 0 0 - -28.9721 -46.2585 16.8315 C 0 0 0 0 0 0 0 0 0 0 0 0 - -39.0243 -42.8457 23.0550 C 0 0 0 0 0 0 0 0 0 0 0 0 - -33.5779 -46.5628 17.8595 N 0 0 0 0 0 0 0 0 0 0 0 0 - -31.4764 -45.3906 16.4240 N 0 0 0 0 0 0 0 0 0 0 0 0 - -38.9439 -46.7526 21.6370 N 0 0 0 0 0 0 0 0 0 0 0 0 - -37.3490 -47.1276 23.2894 N 0 0 0 0 0 0 0 0 0 0 0 0 - -36.0123 -45.5842 17.8199 N 0 0 0 0 0 0 0 0 0 0 0 0 - -35.4868 -44.4226 15.8509 O 0 0 0 0 0 0 0 0 0 0 0 0 - -38.2113 -45.0641 23.0848 O 0 0 0 0 0 0 0 0 0 0 0 0 - -30.0107 -46.8851 17.5725 O 0 0 0 0 0 0 0 0 0 0 0 0 - -41.3731 -44.6411 18.7585 F 0 0 0 0 0 0 0 0 0 0 0 0 - -40.9542 -44.9286 22.7335 F 0 0 0 0 0 0 0 0 0 0 0 0 - -37.7991 -42.3847 23.4334 F 0 0 0 0 0 0 0 0 0 0 0 0 - -37.8179 -44.3943 16.0727 H 0 0 0 0 0 0 0 0 0 0 0 0 - -40.1765 -44.0186 16.5706 H 0 0 0 0 0 0 0 0 0 0 0 0 - -37.3060 -46.2595 19.9234 H 0 0 0 0 0 0 0 0 0 0 0 0 - -32.9054 -44.1858 15.5493 H 0 0 0 0 0 0 0 0 0 0 0 0 - -32.1499 -47.7612 18.7340 H 0 0 0 0 0 0 0 0 0 0 0 0 - -40.6523 -43.8688 21.0873 H 0 0 0 0 0 0 0 0 0 0 0 0 - -38.1129 -43.8742 21.4259 H 0 0 0 0 0 0 0 0 0 0 0 0 - -41.4954 -47.1343 21.7155 H 0 0 0 0 0 0 0 0 0 0 0 0 - -41.0033 -47.6329 20.0982 H 0 0 0 0 0 0 0 0 0 0 0 0 - -42.0081 -46.1916 20.3159 H 0 0 0 0 0 0 0 0 0 0 0 0 - -28.0331 -46.7385 17.1213 H 0 0 0 0 0 0 0 0 0 0 0 0 - -28.8996 -45.1937 17.0765 H 0 0 0 0 0 0 0 0 0 0 0 0 - -29.1109 -46.4050 15.7552 H 0 0 0 0 0 0 0 0 0 0 0 0 - -39.5953 -43.0404 23.9671 H 0 0 0 0 0 0 0 0 0 0 0 0 - -39.5111 -42.0561 22.4760 H 0 0 0 0 0 0 0 0 0 0 0 0 - -38.8503 -47.7351 21.3924 H 0 0 0 0 0 0 0 0 0 0 0 0 - -37.2607 -48.1041 23.0329 H 0 0 0 0 0 0 0 0 0 0 0 0 - -36.7838 -46.7634 24.0480 H 0 0 0 0 0 0 0 0 0 0 0 0 - -35.5706 -46.1117 18.5706 H 0 0 0 0 0 0 0 0 0 0 0 0 - 1 2 2 0 - 1 7 1 0 - 2 8 1 0 - 3 6 1 0 - 3 7 2 0 - 4 9 2 0 - 4 20 1 0 - 5 10 1 0 - 5 19 2 0 - 6 8 2 0 - 6 15 1 0 - 7 23 1 0 - 8 27 1 0 - 9 12 1 0 - 9 19 1 0 - 10 20 2 0 - 10 26 1 0 - 11 21 2 0 - 11 22 1 0 - 11 25 1 0 - 12 23 1 0 - 12 24 2 0 - 13 14 1 0 - 13 15 1 0 - 13 28 1 0 - 14 18 1 0 - 14 25 1 0 - 15 16 1 6 - 15 21 1 0 - 17 26 1 0 - 18 29 1 0 - 1 30 1 0 - 2 31 1 0 - 3 32 1 0 - 4 33 1 0 - 5 34 1 0 - 13 35 1 6 - 14 36 1 6 - 16 37 1 0 - 16 38 1 0 - 16 39 1 0 - 17 40 1 0 - 17 41 1 0 - 17 42 1 0 - 18 43 1 0 - 18 44 1 0 - 21 45 1 0 - 22 46 1 0 - 22 47 1 0 - 23 48 1 0 -M CHG 1 21 1 -M END -> (11) -7.75 - -> (11) -10.1021/acs.jmedchem.8b00011 - -> (11) -lig_67 - -> (11) --0.0844747672478358 -0.12990779678026834 -0.14380706350008646 0.36762114365895587 0.26167233784993488 -0.15721849600474039 0.075968873997529343 0.11367544283469518 0.18071730931599936 -0.5486413141091665 0.60171227653821313 0.60250954826672876 0.16242713232835135 0.07007947315772374 0.11288466056187947 -0.11897932986418407 0.12722194691499075 0.17052826782067618 --0.5567438701788584 -0.67584706346193946 -0.37775556246439618 -0.45844502250353497 -0.46879250804583233 -0.55007929603258765 -0.36094630757967633 -0.41171366969744366 -0.13765848676363626 --0.19025469819704691 -0.19677982727686563 0.17779098947842917 0.16748820741971335 0.13728921612103781 0.046750922997792564 0.055396956702073417 0.092539136608441666 0.11167379220326741 -0.070667405923207596 0.070667405923207596 0.070667405923207596 0.053226386507352196 0.053226386507352196 0.053226386507352196 0.0728104089697202 0.0728104089697202 0.32418565948804218 -0.33332266410191852 0.33332266410191852 0.32668163379033405 - -> (11) -{"openfe_version": "1.8.0", "openff_toolkit_version": "0.18.0", "rdkit_version": "2025.09.4", "charge_method": "nagl_off", "nagl_version": "0.5.4", "nagl_model": "openff-gnn-am1bcc-1.0.0.pt"} - -$$$$ - - RDKit 3D - - 52 55 0 0 0 0 0 0 0 0999 V2000 - -38.3102 -44.6858 17.0132 C 0 0 0 0 0 0 0 0 0 0 0 0 - -39.6543 -44.4823 17.3124 C 0 0 0 0 0 0 0 0 0 0 0 0 - -38.0379 -45.7876 19.1493 C 0 0 0 0 0 0 0 0 0 0 0 0 - -32.8431 -44.9774 16.2381 C 0 0 0 0 0 0 0 0 0 0 0 0 - -32.4539 -46.9534 18.0133 C 0 0 0 0 0 0 0 0 0 0 0 0 - -39.3828 -45.5739 19.4848 C 0 0 0 0 0 0 0 0 0 0 0 0 - -37.4926 -45.3299 17.9379 C 0 0 0 0 0 0 0 0 0 0 0 0 - -40.1715 -44.9090 18.5352 C 0 0 0 0 0 0 0 0 0 0 0 0 - -33.8936 -45.5432 16.9290 C 0 0 0 0 0 0 0 0 0 0 0 0 - -31.4018 -46.3907 17.3283 C 0 0 0 0 0 0 0 0 0 0 0 0 - -38.1702 -46.5120 22.5561 C 0 0 0 0 0 0 0 0 0 0 0 0 - -35.2912 -45.0907 16.7523 C 0 0 0 0 0 0 0 0 0 0 0 0 - -37.4340 -42.3260 23.4313 C 0 0 0 0 0 0 0 0 0 0 0 0 - -38.3750 -42.8627 24.4674 C 0 0 0 0 0 0 0 0 0 0 0 0 - -38.6819 -44.2430 22.2290 C 0 0 1 0 0 0 0 0 0 0 0 0 - -40.0585 -44.6755 21.7274 C 0 0 1 0 0 0 0 0 0 0 0 0 - -39.9257 -45.9426 20.8679 C 0 0 1 0 0 0 0 0 0 0 0 0 - -38.7415 -42.9502 23.0047 C 0 0 0 0 0 0 0 0 0 0 0 0 - -41.2530 -46.7111 20.7766 C 0 0 0 0 0 0 0 0 0 0 0 0 - -29.0941 -46.2999 16.8983 C 0 0 0 0 0 0 0 0 0 0 0 0 - -33.7140 -46.5385 17.8251 N 0 0 0 0 0 0 0 0 0 0 0 0 - -31.5744 -45.3943 16.4293 N 0 0 0 0 0 0 0 0 0 0 0 0 - -38.9901 -46.8592 21.5646 N 0 0 0 0 0 0 0 0 0 0 0 0 - -37.3730 -47.3811 23.1597 N 0 0 0 0 0 0 0 0 0 0 0 0 - -36.1143 -45.5493 17.7646 N 0 0 0 0 0 0 0 0 0 0 0 0 - -35.5814 -44.3763 15.8025 O 0 0 0 0 0 0 0 0 0 0 0 0 - -38.1050 -45.2651 23.0312 O 0 0 0 0 0 0 0 0 0 0 0 0 - -30.1553 -46.9065 17.6136 O 0 0 0 0 0 0 0 0 0 0 0 0 - -41.4551 -44.6275 18.7998 F 0 0 0 0 0 0 0 0 0 0 0 0 - -40.8386 -44.9492 22.8114 F 0 0 0 0 0 0 0 0 0 0 0 0 - -39.6981 -42.0334 22.5719 F 0 0 0 0 0 0 0 0 0 0 0 0 - -27.9596 -46.9310 17.3033 F 0 0 0 0 0 0 0 0 0 0 0 0 - -37.9402 -44.3297 16.0591 H 0 0 0 0 0 0 0 0 0 0 0 0 - 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1 2 2 0 - 1 7 1 0 - 2 8 1 0 - 3 6 1 0 - 3 7 2 0 - 4 9 2 0 - 4 22 1 0 - 5 10 1 0 - 5 21 2 0 - 6 8 2 0 - 6 17 1 0 - 7 25 1 0 - 8 29 1 0 - 9 12 1 0 - 9 21 1 0 - 10 22 2 0 - 10 28 1 0 - 11 23 2 0 - 11 24 1 0 - 11 27 1 0 - 12 25 1 0 - 12 26 2 0 - 13 14 1 0 - 13 18 1 0 - 14 18 1 0 - 15 16 1 0 - 15 18 1 0 - 15 27 1 0 - 16 17 1 0 - 16 30 1 0 - 17 19 1 6 - 17 23 1 0 - 18 31 1 0 - 20 28 1 0 - 20 32 1 0 - 1 33 1 0 - 2 34 1 0 - 3 35 1 0 - 4 36 1 0 - 5 37 1 0 - 13 38 1 0 - 13 39 1 0 - 14 40 1 0 - 14 41 1 0 - 15 42 1 6 - 16 43 1 6 - 19 44 1 0 - 19 45 1 0 - 19 46 1 0 - 20 47 1 0 - 20 48 1 0 - 23 49 1 0 - 24 50 1 0 - 24 51 1 0 - 25 52 1 0 -M CHG 1 23 1 -M END -> (12) -7.6900000000000004 - -> (12) -10.1021/acs.jmedchem.8b00011 - -> (12) -lig_69 - -> (12) --0.085379213667832882 -0.13166710791679528 -0.14420142827125695 0.35973313393501133 0.27621301951316685 -0.1596650188932052 0.073954432629621952 0.11408489885238501 0.18683436455634925 -0.55730730237869119 0.60191208066848612 0.60160493793395853 -0.12301386950107721 -0.12301386950107721 0.12135027291683051 0.17113420309928748 0.10949467065242621 0.072003766321218937 --0.11963594762178567 0.42146307172683567 -0.56043982563110495 -0.67649561224075461 -0.38141471204849392 -0.46135097799392849 -0.46969720778556973 -0.55098378715606833 -0.36055710969062954 --0.45552370009514004 -0.13860549090000299 -0.1935625231036773 -0.1464332198867431 -0.22832492051216272 0.17688655795959327 0.16658371629623267 0.13652221801189277 0.048253904454983197 -0.051519404523647748 0.097207702123201817 0.097207702123201817 0.097207702123201817 0.097207702123201817 0.1262260818710694 0.089753701709784001 0.069280534409559696 0.069280534409559696 -0.069280534409559696 0.069074019216574162 0.069074019216574162 0.32261672558692783 0.33195769729522556 0.33195769729522556 0.32577723207382053 - -> (12) -{"openfe_version": "1.8.0", "openff_toolkit_version": "0.18.0", "rdkit_version": "2025.09.4", "charge_method": "nagl_off", "nagl_version": "0.5.4", "nagl_model": "openff-gnn-am1bcc-1.0.0.pt"} - -$$$$ - - RDKit 3D - - 45 48 0 0 0 0 0 0 0 0999 V2000 - -40.0554 -44.9369 16.8653 C 0 0 0 0 0 0 0 0 0 0 0 0 - -38.6879 -44.9360 16.5904 C 0 0 0 0 0 0 0 0 0 0 0 0 - -40.5143 -45.3373 18.1202 C 0 0 0 0 0 0 0 0 0 0 0 0 - -41.8835 -44.2396 20.7233 C 0 0 0 0 0 0 0 0 0 0 0 0 - -38.2382 -45.7361 18.8253 C 0 0 0 0 0 0 0 0 0 0 0 0 - -35.5043 -46.2378 17.9050 C 0 0 0 0 0 0 0 0 0 0 0 0 - -42.1548 -43.4338 21.8456 C 0 0 0 0 0 0 0 0 0 0 0 0 - -35.8128 -44.4326 16.3875 C 0 0 0 0 0 0 0 0 0 0 0 0 - -33.6967 -45.2709 16.6992 C 0 0 0 0 0 0 0 0 0 0 0 0 - -37.7793 -45.3356 17.5704 C 0 0 0 0 0 0 0 0 0 0 0 0 - -36.3607 -45.3345 17.2854 C 0 0 0 0 0 0 0 0 0 0 0 0 - -39.6057 -45.7369 19.1002 C 0 0 0 0 0 0 0 0 0 0 0 0 - -34.1453 -46.2120 17.6119 C 0 0 0 0 0 0 0 0 0 0 0 0 - -40.8581 -45.0688 21.1270 C 0 0 0 0 0 0 0 0 0 0 0 0 - -38.6541 -46.1701 22.5163 C 0 0 0 0 0 0 0 0 0 0 0 0 - -39.6206 -45.3486 23.2769 C 0 0 0 0 0 0 0 0 0 0 0 0 - -40.0989 -46.1665 20.4463 C 0 0 1 0 0 0 0 0 0 0 0 0 - -40.9476 -47.4293 20.3138 C 0 0 0 0 0 0 0 0 0 0 0 0 - -31.9070 -46.9824 17.8402 C 0 0 0 0 0 0 0 0 0 0 0 0 - -34.4982 -44.3773 16.0773 N 0 0 0 0 0 0 0 0 0 0 0 0 - -41.3734 -43.7244 22.8891 N 0 0 0 0 0 0 0 0 0 0 0 0 - -40.5995 -44.7181 22.4193 N 0 0 0 0 0 0 0 0 0 0 0 0 - -38.8949 -46.5220 21.2540 N 0 0 0 0 0 0 0 0 0 0 0 0 - -37.5592 -46.5307 23.1735 N 0 0 0 0 0 0 0 0 0 0 0 0 - -33.2865 -47.0805 18.2005 O 0 0 0 0 0 0 0 0 0 0 0 0 - -40.7628 -44.6260 16.1019 H 0 0 0 0 0 0 0 0 0 0 0 0 - -38.3457 -44.6209 15.6073 H 0 0 0 0 0 0 0 0 0 0 0 0 - -41.5816 -45.3348 18.3259 H 0 0 0 0 0 0 0 0 0 0 0 0 - -42.3653 -44.2230 19.7566 H 0 0 0 0 0 0 0 0 0 0 0 0 - -37.5348 -46.0493 19.5941 H 0 0 0 0 0 0 0 0 0 0 0 0 - -35.8873 -46.9646 18.6179 H 0 0 0 0 0 0 0 0 0 0 0 0 - -42.8913 -42.6498 21.9472 H 0 0 0 0 0 0 0 0 0 0 0 0 - -36.4274 -43.7013 15.8702 H 0 0 0 0 0 0 0 0 0 0 0 0 - -32.6463 -45.2054 16.4332 H 0 0 0 0 0 0 0 0 0 0 0 0 - -40.1715 -45.9692 23.9916 H 0 0 0 0 0 0 0 0 0 0 0 0 - -39.1024 -44.5489 23.8183 H 0 0 0 0 0 0 0 0 0 0 0 0 - -41.3046 -47.7389 21.2947 H 0 0 0 0 0 0 0 0 0 0 0 0 - -40.3510 -48.2313 19.8820 H 0 0 0 0 0 0 0 0 0 0 0 0 - -41.8025 -47.2336 19.6685 H 0 0 0 0 0 0 0 0 0 0 0 0 - -31.3329 -47.7359 18.3850 H 0 0 0 0 0 0 0 0 0 0 0 0 - -31.5369 -45.9826 18.0808 H 0 0 0 0 0 0 0 0 0 0 0 0 - -31.8068 -47.1573 16.7664 H 0 0 0 0 0 0 0 0 0 0 0 0 - -38.1812 -47.0979 20.8139 H 0 0 0 0 0 0 0 0 0 0 0 0 - -37.4206 -46.2456 24.1379 H 0 0 0 0 0 0 0 0 0 0 0 0 - -36.8486 -47.0954 22.7189 H 0 0 0 0 0 0 0 0 0 0 0 0 - 1 2 2 0 - 1 3 1 0 - 2 10 1 0 - 3 12 2 0 - 4 7 1 0 - 4 14 2 0 - 5 10 2 0 - 5 12 1 0 - 6 11 2 0 - 6 13 1 0 - 7 21 2 0 - 8 11 1 0 - 8 20 2 0 - 9 13 2 0 - 9 20 1 0 - 10 11 1 0 - 12 17 1 0 - 13 25 1 0 - 14 17 1 0 - 14 22 1 0 - 15 16 1 0 - 15 23 2 0 - 15 24 1 0 - 16 22 1 0 - 17 18 1 6 - 17 23 1 0 - 19 25 1 0 - 21 22 1 0 - 1 26 1 0 - 2 27 1 0 - 3 28 1 0 - 4 29 1 0 - 5 30 1 0 - 6 31 1 0 - 7 32 1 0 - 8 33 1 0 - 9 34 1 0 - 16 35 1 0 - 16 36 1 0 - 18 37 1 0 - 18 38 1 0 - 18 39 1 0 - 19 40 1 0 - 19 41 1 0 - 19 42 1 0 - 23 43 1 0 - 24 44 1 0 - 24 45 1 0 -M CHG 1 23 1 -M END -> (13) -6.96 - -> (13) -4,7-Dihydropyrazolo[1,5-a]pyrazin-6-yl-amine derivatives as β-secretase inhibitors and their preparation and use for the treatment of diseases by: Trabanco-Suarez, Andres Avelino; Tresadern, Gary John; Delgado-Jimenez, FranciscaWorld Intellectual Property Organization, WO2012038438 A1 2012-03-29 | Language: English, Database: CAplus - -> (13) -lig_04 - -> (13) --0.124494650753008 -0.091208541186319464 -0.11175242939756977 -0.23582320788668262 -0.094258689673410528 -0.11437618115709888 0.32905220112038985 0.39774414023591415 0.34187062701417342 --0.030848064811693297 -0.10873065272139179 -0.12642227986620533 0.027456906272305383 -0.11651957908438312 0.42457561811639205 -0.036344447525011168 0.20839559158517254 -0.11157278844879734 -0.11551877727939022 -0.64172936359213462 -0.46444407978819474 0.071965588836206323 -0.34991756954954728 -0.4803237406329976 -0.3089738277511464 0.15547200164033306 0.14776419719888104 -0.13993245979977978 0.17295087000562084 0.14908873161507977 0.15848930796815289 0.059860384671224488 0.033469023762477769 0.037259268222583665 0.11362042894793881 0.11362042894793881 -0.071949577538503534 0.071949577538503534 0.071949577538503534 0.052643558589948548 0.052643558589948548 0.052643558589948548 0.32153784355355636 0.32715814432336227 0.32715814432336227 - -> (13) -{"openfe_version": "1.8.0", "openff_toolkit_version": "0.18.0", "rdkit_version": "2025.09.4", "charge_method": "nagl_off", "nagl_version": "0.5.4", "nagl_model": "openff-gnn-am1bcc-1.0.0.pt"} - -$$$$ - - RDKit 3D - - 45 48 0 0 0 0 0 0 0 0999 V2000 - -29.8991 -46.6444 17.3498 C 0 0 0 0 0 0 0 0 0 0 0 0 - -31.5880 -45.2092 16.2997 C 0 0 0 0 0 0 0 0 0 0 0 0 - -38.2803 -44.7175 17.1436 C 0 0 0 0 0 0 0 0 0 0 0 0 - -39.6235 -44.5074 17.4340 C 0 0 0 0 0 0 0 0 0 0 0 0 - -32.9168 -44.8244 16.1631 C 0 0 0 0 0 0 0 0 0 0 0 0 - -38.0005 -45.7575 19.3081 C 0 0 0 0 0 0 0 0 0 0 0 0 - -32.2711 -46.8151 17.9250 C 0 0 0 0 0 0 0 0 0 0 0 0 - -39.0485 -42.8007 22.7748 C 0 0 0 0 0 0 0 0 0 0 0 0 - -31.2529 -46.2240 17.1922 C 0 0 0 0 0 0 0 0 0 0 0 0 - -39.3521 -45.5442 19.6329 C 0 0 0 0 0 0 0 0 0 0 0 0 - -37.4536 -45.3336 18.0825 C 0 0 0 0 0 0 0 0 0 0 0 0 - -40.1408 -44.9069 18.6628 C 0 0 0 0 0 0 0 0 0 0 0 0 - -33.8636 -45.4764 16.9430 C 0 0 0 0 0 0 0 0 0 0 0 0 - -38.2345 -44.8187 22.8526 C 0 0 0 0 0 0 0 0 0 0 0 0 - -38.1576 -46.2394 22.6464 C 0 0 0 0 0 0 0 0 0 0 0 0 - -35.2928 -45.1019 16.8354 C 0 0 0 0 0 0 0 0 0 0 0 0 - -40.4180 -44.7168 21.7933 C 0 0 0 0 0 0 0 0 0 0 0 0 - -39.9371 -45.9630 20.9952 C 0 0 1 0 0 0 0 0 0 0 0 0 - -41.1466 -46.8959 20.7665 C 0 0 0 0 0 0 0 0 0 0 0 0 - -28.7986 -46.9881 17.4796 N 0 0 0 0 0 0 0 0 0 0 0 0 - -33.5710 -46.4617 17.8239 N 0 0 0 0 0 0 0 0 0 0 0 0 - -37.8875 -42.7445 23.3970 N 0 0 0 0 0 0 0 0 0 0 0 0 - -37.3729 -44.0340 23.4583 N 0 0 0 0 0 0 0 0 0 0 0 0 - -38.9871 -46.7880 21.8050 N 0 0 0 0 0 0 0 0 0 0 0 0 - -39.2924 -44.0810 22.4313 N 0 0 0 0 0 0 0 0 0 0 0 0 - -37.2387 -47.0061 23.3224 N 0 0 0 0 0 0 0 0 0 0 0 0 - -36.0706 -45.5553 17.8892 N 0 0 0 0 0 0 0 0 0 0 0 0 - -35.6500 -44.4278 15.8767 O 0 0 0 0 0 0 0 0 0 0 0 0 - -41.4358 -44.6547 18.8997 F 0 0 0 0 0 0 0 0 0 0 0 0 - -30.8196 -44.7235 15.7166 H 0 0 0 0 0 0 0 0 0 0 0 0 - -37.8775 -44.4039 16.1919 H 0 0 0 0 0 0 0 0 0 0 0 0 - -40.2657 -44.0341 16.7060 H 0 0 0 0 0 0 0 0 0 0 0 0 - -33.2036 -44.0443 15.4734 H 0 0 0 0 0 0 0 0 0 0 0 0 - -37.3635 -46.2614 20.0200 H 0 0 0 0 0 0 0 0 0 0 0 0 - -32.0099 -47.6030 18.6160 H 0 0 0 0 0 0 0 0 0 0 0 0 - -39.6965 -41.9604 22.5737 H 0 0 0 0 0 0 0 0 0 0 0 0 - -40.8975 -44.0052 21.1051 H 0 0 0 0 0 0 0 0 0 0 0 0 - -41.1423 -45.0309 22.5592 H 0 0 0 0 0 0 0 0 0 0 0 0 - -41.5669 -47.1969 21.7374 H 0 0 0 0 0 0 0 0 0 0 0 0 - -41.9138 -46.3651 20.1837 H 0 0 0 0 0 0 0 0 0 0 0 0 - -40.8206 -47.7901 20.2151 H 0 0 0 0 0 0 0 0 0 0 0 0 - -37.2030 -47.9938 23.1702 H 0 0 0 0 0 0 0 0 0 0 0 0 - -36.6059 -46.5762 23.9664 H 0 0 0 0 0 0 0 0 0 0 0 0 - -35.6035 -46.0974 18.5878 H 0 0 0 0 0 0 0 0 0 0 0 0 - -38.9890 -47.7823 21.6980 H 0 0 0 0 0 0 0 0 0 0 0 0 - 1 9 1 0 - 1 20 3 0 - 2 5 2 0 - 2 9 1 0 - 3 4 2 0 - 3 11 1 0 - 4 12 1 0 - 5 13 1 0 - 6 10 1 0 - 6 11 2 0 - 7 9 2 0 - 7 21 1 0 - 8 22 2 0 - 8 25 1 0 - 10 12 2 0 - 10 18 1 0 - 11 27 1 0 - 12 29 1 0 - 13 16 1 0 - 13 21 2 0 - 14 15 1 0 - 14 23 2 0 - 14 25 1 0 - 15 24 2 0 - 15 26 1 0 - 16 27 1 0 - 16 28 2 0 - 17 18 1 0 - 17 25 1 0 - 18 19 1 6 - 18 24 1 0 - 22 23 1 0 - 2 30 1 0 - 3 31 1 0 - 4 32 1 0 - 5 33 1 0 - 6 34 1 0 - 7 35 1 0 - 8 36 1 0 - 17 37 1 0 - 17 38 1 0 - 19 39 1 0 - 19 40 1 0 - 19 41 1 0 - 26 42 1 0 - 26 43 1 0 - 27 44 1 0 - 24 45 1 0 -M CHG 1 24 1 -M END -> (14) -7.9699999999999998 - -> (14) -10.1021/acsmedchemlett.9b00181 - -> (14) -lig_81 - -> (14) -0.25441446387105515 -0.050641471064753002 -0.081531276471085018 -0.12690365827745861 -0.21956845141119427 -0.13147458947367138 0.45149757944875291 0.4225717731648021 -0.11178548402256436 --0.17814358092016644 0.087242695026927525 0.13002919637494617 0.38605382525258591 0.057832094364696079 0.45120280467801621 0.59878682576947739 0.032063393377595478 0.11407166206174427 --0.12015539920992321 -0.34266186273760268 -0.61892623222536514 -0.29494390404886672 -0.1768299690551228 -0.3389093629188008 -0.25636286056703994 -0.50001377380556533 -0.46672413266367385 --0.54561359203524062 -0.13789773500627941 0.1637532361679607 0.17777949058347278 0.17037744306855732 0.16904381894403034 0.13453936063581043 0.051565135353141361 0.088660652273231083 -0.10155790530973011 0.10155790530973011 0.072522858613067204 0.072522858613067204 0.072522858613067204 0.34167494856648972 0.34167494856648972 0.32831909739308884 0.32524850451283982 - -> (14) -{"openfe_version": "1.8.0", "openff_toolkit_version": "0.18.0", "rdkit_version": "2025.09.4", "charge_method": "nagl_off", "nagl_version": "0.5.4", "nagl_model": "openff-gnn-am1bcc-1.0.0.pt"} - -$$$$ - - RDKit 3D - - 48 51 0 0 0 0 0 0 0 0999 V2000 - -33.2652 -45.8563 17.7205 C 0 0 0 0 0 0 0 0 0 0 0 0 - -35.3048 -43.5774 15.6028 C 0 0 0 0 0 0 0 0 0 0 0 0 - -34.2044 -44.2521 16.1255 C 0 0 0 0 0 0 0 0 0 0 0 0 - -36.5843 -43.8109 16.1158 C 0 0 0 0 0 0 0 0 0 0 0 0 - -39.2916 -44.9925 16.9342 C 0 0 0 0 0 0 0 0 0 0 0 0 - -40.5536 -45.1949 17.4992 C 0 0 0 0 0 0 0 0 0 0 0 0 - -35.6691 -45.4106 17.6625 C 0 0 0 0 0 0 0 0 0 0 0 0 - -38.3103 -45.1263 19.1185 C 0 0 0 0 0 0 0 0 0 0 0 0 - -34.3860 -45.1685 17.1591 C 0 0 0 0 0 0 0 0 0 0 0 0 - -36.7949 -44.7298 17.1593 C 0 0 0 0 0 0 0 0 0 0 0 0 - -38.1393 -44.9556 17.7322 C 0 0 0 0 0 0 0 0 0 0 0 0 - -39.5741 -45.3226 19.7058 C 0 0 0 0 0 0 0 0 0 0 0 0 - -40.6942 -45.3723 18.8764 C 0 0 0 0 0 0 0 0 0 0 0 0 - -38.9089 -44.3599 21.9429 C 0 0 0 0 0 0 0 0 0 0 0 0 - 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-> (15) -{"openfe_version": "1.8.0", "openff_toolkit_version": "0.18.0", "rdkit_version": "2025.09.4", "charge_method": "nagl_off", "nagl_version": "0.5.4", "nagl_model": "openff-gnn-am1bcc-1.0.0.pt"} - -$$$$ - - RDKit 3D - - 42 45 0 0 0 0 0 0 0 0999 V2000 - -40.1582 -45.2247 17.3301 C 0 0 0 0 0 0 0 0 0 0 0 0 - -38.8476 -45.0908 16.8719 C 0 0 0 0 0 0 0 0 0 0 0 0 - -40.4148 -45.5005 18.6747 C 0 0 0 0 0 0 0 0 0 0 0 0 - -39.0695 -43.4695 21.8948 C 0 0 0 0 0 0 0 0 0 0 0 0 - -38.0475 -45.5261 19.0957 C 0 0 0 0 0 0 0 0 0 0 0 0 - -35.9935 -43.9743 16.5045 C 0 0 0 0 0 0 0 0 0 0 0 0 - -35.3738 -45.9720 17.7035 C 0 0 0 0 0 0 0 0 0 0 0 0 - -33.6773 -44.6924 16.5416 C 0 0 0 0 0 0 0 0 0 0 0 0 - -38.1683 -43.0249 22.8811 C 0 0 0 0 0 0 0 0 0 0 0 0 - -37.7656 -45.2353 17.7493 C 0 0 0 0 0 0 0 0 0 0 0 0 - -36.3726 -45.0662 17.3035 C 0 0 0 0 0 0 0 0 0 0 0 0 - -39.3631 -45.6557 19.5850 C 0 0 0 0 0 0 0 0 0 0 0 0 - -34.6591 -43.7948 16.1324 C 0 0 0 0 0 0 0 0 0 0 0 0 - -34.0436 -45.7796 17.3281 C 0 0 0 0 0 0 0 0 0 0 0 0 - -38.9489 -44.8434 21.9051 C 0 0 0 0 0 0 0 0 0 0 0 0 - -38.0031 -47.4752 22.3314 C 0 0 0 0 0 0 0 0 0 0 0 0 - -37.6222 -46.4306 23.3018 C 0 0 0 0 0 0 0 0 0 0 0 0 - -39.5657 -45.9324 21.0767 C 0 0 1 0 0 0 0 0 0 0 0 0 - -41.0298 -46.1329 21.5004 C 0 0 0 0 0 0 0 0 0 0 0 0 - -37.5357 -44.0289 23.4917 N 0 0 0 0 0 0 0 0 0 0 0 0 - -38.0401 -45.1146 22.8842 N 0 0 0 0 0 0 0 0 0 0 0 0 - -38.8828 -47.2312 21.3602 N 0 0 0 0 0 0 0 0 0 0 0 0 - -37.4123 -48.6490 22.5098 N 0 0 0 0 0 0 0 0 0 0 0 0 - -34.2217 -42.4379 15.1689 Cl 0 0 0 0 0 0 0 0 0 0 0 0 - -32.8446 -46.8946 17.8559 Cl 0 0 0 0 0 0 0 0 0 0 0 0 - -40.9850 -45.1068 16.6352 H 0 0 0 0 0 0 0 0 0 0 0 0 - -38.6846 -44.8741 15.8185 H 0 0 0 0 0 0 0 0 0 0 0 0 - -41.4516 -45.5836 18.9854 H 0 0 0 0 0 0 0 0 0 0 0 0 - -39.7000 -42.8763 21.2486 H 0 0 0 0 0 0 0 0 0 0 0 0 - -37.2189 -45.6312 19.7964 H 0 0 0 0 0 0 0 0 0 0 0 0 - -36.7385 -43.2462 16.1884 H 0 0 0 0 0 0 0 0 0 0 0 0 - -35.6344 -46.8326 18.3176 H 0 0 0 0 0 0 0 0 0 0 0 0 - -32.6397 -44.5444 16.2548 H 0 0 0 0 0 0 0 0 0 0 0 0 - -37.9431 -42.0122 23.1803 H 0 0 0 0 0 0 0 0 0 0 0 0 - -38.0888 -46.6234 24.2737 H 0 0 0 0 0 0 0 0 0 0 0 0 - -36.5336 -46.4012 23.4256 H 0 0 0 0 0 0 0 0 0 0 0 0 - -41.1022 -46.3779 22.5665 H 0 0 0 0 0 0 0 0 0 0 0 0 - -41.4949 -46.9610 20.9521 H 0 0 0 0 0 0 0 0 0 0 0 0 - -41.6316 -45.2318 21.3323 H 0 0 0 0 0 0 0 0 0 0 0 0 - -39.0948 -48.0176 20.7508 H 0 0 0 0 0 0 0 0 0 0 0 0 - -36.7472 -48.7827 23.2641 H 0 0 0 0 0 0 0 0 0 0 0 0 - -37.6101 -49.4276 21.8925 H 0 0 0 0 0 0 0 0 0 0 0 0 - 1 2 2 0 - 1 3 1 0 - 2 10 1 0 - 3 12 2 0 - 4 9 1 0 - 4 15 2 0 - 5 10 2 0 - 5 12 1 0 - 6 11 2 0 - 6 13 1 0 - 7 11 1 0 - 7 14 2 0 - 8 13 2 0 - 8 14 1 0 - 9 20 2 0 - 10 11 1 0 - 12 18 1 0 - 13 24 1 0 - 14 25 1 0 - 15 18 1 0 - 15 21 1 0 - 16 17 1 0 - 16 22 2 0 - 16 23 1 0 - 17 21 1 0 - 18 19 1 6 - 18 22 1 0 - 20 21 1 0 - 1 26 1 0 - 2 27 1 0 - 3 28 1 0 - 4 29 1 0 - 5 30 1 0 - 6 31 1 0 - 7 32 1 0 - 8 33 1 0 - 9 34 1 0 - 17 35 1 0 - 17 36 1 0 - 19 37 1 0 - 19 38 1 0 - 19 39 1 0 - 22 40 1 0 - 23 41 1 0 - 23 42 1 0 -M CHG 1 22 1 -M END -> (16) -6.8300000000000001 - -> (16) -4,7-Dihydropyrazolo[1,5-a]pyrazin-6-yl-amine derivatives as β-secretase inhibitors and their preparation and use for the treatment of diseases by: Trabanco-Suarez, Andres Avelino; Tresadern, Gary John; Delgado-Jimenez, Francisca^?World Intellectual Property Organization, WO2012038438 A1 2012-03-29 | Language: English, Database: CAplus - -> (16) -lig_06 - -> (16) --0.1235415122161309 -0.087366916860143348 -0.11141990932325523 -0.23489524486164251 -0.0918347096691529 -0.10341146650413673 -0.10341146650413673 -0.11812717529634635 0.3299799555291732 --0.032306057090560593 -0.014534120137492815 -0.12638892295459905 0.042418509100874267 0.042418509100874267 -0.11559166076282661 0.42550355133910972 -0.035416510577003159 0.2093922191609939 --0.11064486267666022 -0.46351593794922036 0.072893440102537468 -0.34898954691986245 -0.47939556899170083 -0.082309865082303688 -0.082309865082303688 0.15575215158363184 0.14894379613300165 -0.1408604079236587 0.17387884793182215 0.14980167088409266 0.15859524843593439 0.15859524843593439 0.16922251818080744 0.060788280641039215 0.1145483994235595 0.1145483994235595 -0.072877480958898858 0.072877480958898858 0.072877480958898858 0.32246568736930686 0.32808601794143516 0.32808601794143516 - -> (16) -{"openfe_version": "1.8.0", "openff_toolkit_version": "0.18.0", "rdkit_version": "2025.09.4", "charge_method": "nagl_off", "nagl_version": "0.5.4", "nagl_model": "openff-gnn-am1bcc-1.0.0.pt"} - -$$$$ - - RDKit 3D - - 39 41 0 0 0 0 0 0 0 0999 V2000 - -40.2181 -45.1963 17.2016 C 0 0 0 0 0 0 0 0 0 0 0 0 - -38.8778 -45.0934 16.8387 C 0 0 0 0 0 0 0 0 0 0 0 0 - -40.5708 -45.4986 18.5168 C 0 0 0 0 0 0 0 0 0 0 0 0 - -38.2434 -45.5906 19.1072 C 0 0 0 0 0 0 0 0 0 0 0 0 - -35.9933 -44.0766 16.6239 C 0 0 0 0 0 0 0 0 0 0 0 0 - -35.4865 -46.0919 17.8440 C 0 0 0 0 0 0 0 0 0 0 0 0 - -33.7112 -44.8910 16.7092 C 0 0 0 0 0 0 0 0 0 0 0 0 - -37.8618 -45.2818 17.7857 C 0 0 0 0 0 0 0 0 0 0 0 0 - -36.4396 -45.1507 17.4150 C 0 0 0 0 0 0 0 0 0 0 0 0 - -39.5924 -45.7182 19.4967 C 0 0 0 0 0 0 0 0 0 0 0 0 - -34.6452 -43.9548 16.2770 C 0 0 0 0 0 0 0 0 0 0 0 0 - -34.1401 -45.9569 17.4940 C 0 0 0 0 0 0 0 0 0 0 0 0 - -38.0378 -46.6230 22.4156 C 0 0 0 0 0 0 0 0 0 0 0 0 - -37.9699 -45.2314 22.9120 C 0 0 0 0 0 0 0 0 0 0 0 0 - -39.9744 -44.7401 21.7887 C 0 0 0 0 0 0 0 0 0 0 0 0 - -39.9644 -46.0257 20.9503 C 0 0 1 0 0 0 0 0 0 0 0 0 - -41.3198 -46.7392 21.1008 C 0 0 0 0 0 0 0 0 0 0 0 0 - -38.9636 -46.9617 21.5216 N 0 0 0 0 0 0 0 0 0 0 0 0 - -37.1520 -47.4731 22.9162 N 0 0 0 0 0 0 0 0 0 0 0 0 - -38.6346 -44.3200 22.0359 O 0 0 0 0 0 0 0 0 0 0 0 0 - -34.1345 -42.6300 15.3050 Cl 0 0 0 0 0 0 0 0 0 0 0 0 - -32.9985 -47.1237 18.0388 Cl 0 0 0 0 0 0 0 0 0 0 0 0 - -40.9924 -45.0365 16.4568 H 0 0 0 0 0 0 0 0 0 0 0 0 - -38.6378 -44.8633 15.8029 H 0 0 0 0 0 0 0 0 0 0 0 0 - -41.6286 -45.5509 18.7554 H 0 0 0 0 0 0 0 0 0 0 0 0 - -37.4620 -45.7157 19.8544 H 0 0 0 0 0 0 0 0 0 0 0 0 - -36.7003 -43.3221 16.2825 H 0 0 0 0 0 0 0 0 0 0 0 0 - -35.7962 -46.9421 18.4497 H 0 0 0 0 0 0 0 0 0 0 0 0 - -32.6633 -44.7912 16.4383 H 0 0 0 0 0 0 0 0 0 0 0 0 - -38.4137 -45.1594 23.9116 H 0 0 0 0 0 0 0 0 0 0 0 0 - -36.9279 -44.9028 22.9859 H 0 0 0 0 0 0 0 0 0 0 0 0 - -40.4939 -43.9282 21.2673 H 0 0 0 0 0 0 0 0 0 0 0 0 - -40.4816 -44.8828 22.7514 H 0 0 0 0 0 0 0 0 0 0 0 0 - -41.4710 -47.0713 22.1351 H 0 0 0 0 0 0 0 0 0 0 0 0 - -41.3715 -47.6323 20.4672 H 0 0 0 0 0 0 0 0 0 0 0 0 - -42.1610 -46.0864 20.8446 H 0 0 0 0 0 0 0 0 0 0 0 0 - -38.9629 -47.9314 21.2161 H 0 0 0 0 0 0 0 0 0 0 0 0 - -36.4668 -47.1726 23.6007 H 0 0 0 0 0 0 0 0 0 0 0 0 - -37.1483 -48.4436 22.6228 H 0 0 0 0 0 0 0 0 0 0 0 0 - 1 2 2 0 - 1 3 1 0 - 2 8 1 0 - 3 10 2 0 - 4 8 2 0 - 4 10 1 0 - 5 9 2 0 - 5 11 1 0 - 6 9 1 0 - 6 12 2 0 - 7 11 2 0 - 7 12 1 0 - 8 9 1 0 - 10 16 1 0 - 11 21 1 0 - 12 22 1 0 - 13 14 1 0 - 13 18 2 0 - 13 19 1 0 - 14 20 1 0 - 15 16 1 0 - 15 20 1 0 - 16 17 1 6 - 16 18 1 0 - 1 23 1 0 - 2 24 1 0 - 3 25 1 0 - 4 26 1 0 - 5 27 1 0 - 6 28 1 0 - 7 29 1 0 - 14 30 1 0 - 14 31 1 0 - 15 32 1 0 - 15 33 1 0 - 17 34 1 0 - 17 35 1 0 - 17 36 1 0 - 18 37 1 0 - 19 38 1 0 - 19 39 1 0 -M CHG 1 18 1 -M END -> (17) -5.9500000000000002 - -> (17) -Preparation of 5,6-dihydro-2H-[1,4]oxazin-3-yl-amine derivatives useful as therapeutic inhibitors of β-secretase (BACE) By: Trabanco-Suarez, Andres Avelino; Rombouts, Frederik Jan Rita; Tresadern, Gary John; Van Gool, Michiel Luc Maria; Macdonald, Gregor James; Martinez Lamenca, Carolina; Gijsen, Henricus Jacobus MariaWorld Intellectual Property Organization, WO2011154431 A1 2011-12-15 | Language: English, Database: CAplus - -> (17) -lig_05 - -> (17) --0.1198843090962141 -0.088976715428706929 -0.11930216543185405 -0.098138545377132222 -0.10311335764634304 -0.10311335764634304 -0.11984210900771312 -0.035555117500898167 --0.015162017865058703 -0.12257529489504985 0.040703560488346294 0.040703560488346294 0.43447094716322726 0.056391089486005977 0.11399736561072178 0.082091118471744731 -0.11152655325638942 --0.3628870888780325 -0.49364000998246366 -0.35690582237946683 -0.084025007409927174 -0.084025007409927174 0.15620615638983557 0.14917644418967077 0.1318028972317011 0.14367965914500067 -0.15688022531760046 0.15688022531760046 0.16750748016131231 0.11251507260096379 0.11251507260096379 0.090272720234516338 0.090272720234516338 0.069570924418094829 0.069570924418094829 -0.069570924418094829 0.32382458009016818 0.32503440536749667 0.32503440536749667 - -> (17) -{"openfe_version": "1.8.0", "openff_toolkit_version": "0.18.0", "rdkit_version": "2025.09.4", "charge_method": "nagl_off", "nagl_version": "0.5.4", "nagl_model": "openff-gnn-am1bcc-1.0.0.pt"} - -$$$$ - - RDKit 3D - - 46 49 0 0 0 0 0 0 0 0999 V2000 - -34.3135 -45.2077 17.1876 C 0 0 0 0 0 0 0 0 0 0 0 0 - -34.1973 -44.2951 16.1500 C 0 0 0 0 0 0 0 0 0 0 0 0 - -39.1764 -45.0011 16.9541 C 0 0 0 0 0 0 0 0 0 0 0 0 - -40.4542 -45.1821 17.4918 C 0 0 0 0 0 0 0 0 0 0 0 0 - -35.5656 -45.4789 17.7323 C 0 0 0 0 0 0 0 0 0 0 0 0 - -38.2381 -45.1951 19.1528 C 0 0 0 0 0 0 0 0 0 0 0 0 - -35.3543 -43.6914 15.6932 C 0 0 0 0 0 0 0 0 0 0 0 0 - -38.0382 -45.0149 17.7732 C 0 0 0 0 0 0 0 0 0 0 0 0 - -39.5193 -45.3544 19.7145 C 0 0 0 0 0 0 0 0 0 0 0 0 - -40.6249 -45.3728 18.8641 C 0 0 0 0 0 0 0 0 0 0 0 0 - -36.6860 -44.8194 17.2216 C 0 0 0 0 0 0 0 0 0 0 0 0 - -38.8939 -44.3714 21.9499 C 0 0 0 0 0 0 0 0 0 0 0 0 - -37.9558 -46.3933 22.5507 C 0 0 0 0 0 0 0 0 0 0 0 0 - -41.1544 -45.4253 21.6300 C 0 0 0 0 0 0 0 0 0 0 0 0 - -39.6895 -45.4757 21.2056 C 0 0 1 0 0 0 0 0 0 0 0 0 - -42.0923 -46.0925 20.6093 C 0 0 0 0 0 0 0 0 0 0 0 0 - -43.5439 -45.7704 21.0003 C 0 0 0 0 0 0 0 0 0 0 0 0 - -41.9410 -47.6194 20.5506 C 0 0 0 0 0 0 0 0 0 0 0 0 - -36.8680 -44.2891 23.4685 C 0 0 0 0 0 0 0 0 0 0 0 0 - -36.5864 -43.9319 16.1983 N 0 0 0 0 0 0 0 0 0 0 0 0 - -37.8638 -45.0312 22.7065 N 0 0 0 0 0 0 0 0 0 0 0 0 - -39.0139 -46.7075 21.6935 N 0 0 0 0 0 0 0 0 0 0 0 0 - -37.1447 -47.3366 23.1280 N 0 0 0 0 0 0 0 0 0 0 0 0 - -39.0749 -43.1663 21.8840 O 0 0 0 0 0 0 0 0 0 0 0 0 - -41.9143 -45.5454 19.2901 O 0 0 0 0 0 0 0 0 0 0 0 0 - -33.4324 -45.7079 17.5781 H 0 0 0 0 0 0 0 0 0 0 0 0 - -33.2326 -44.0649 15.7136 H 0 0 0 0 0 0 0 0 0 0 0 0 - -39.0846 -44.8594 15.8793 H 0 0 0 0 0 0 0 0 0 0 0 0 - -41.3151 -45.1774 16.8279 H 0 0 0 0 0 0 0 0 0 0 0 0 - -35.6446 -46.1977 18.5425 H 0 0 0 0 0 0 0 0 0 0 0 0 - -37.3767 -45.1829 19.8192 H 0 0 0 0 0 0 0 0 0 0 0 0 - -35.3216 -42.9701 14.8835 H 0 0 0 0 0 0 0 0 0 0 0 0 - -41.2830 -45.8704 22.6252 H 0 0 0 0 0 0 0 0 0 0 0 0 - -41.4515 -44.3711 21.7241 H 0 0 0 0 0 0 0 0 0 0 0 0 - -44.2483 -46.1902 20.2729 H 0 0 0 0 0 0 0 0 0 0 0 0 - -43.7158 -44.6876 21.0018 H 0 0 0 0 0 0 0 0 0 0 0 0 - -43.7926 -46.1628 21.9919 H 0 0 0 0 0 0 0 0 0 0 0 0 - -42.6909 -48.0552 19.8797 H 0 0 0 0 0 0 0 0 0 0 0 0 - -42.0619 -48.0718 21.5404 H 0 0 0 0 0 0 0 0 0 0 0 0 - -40.9725 -47.9242 20.1444 H 0 0 0 0 0 0 0 0 0 0 0 0 - -37.3730 -43.6990 24.2373 H 0 0 0 0 0 0 0 0 0 0 0 0 - -36.1567 -44.9674 23.9434 H 0 0 0 0 0 0 0 0 0 0 0 0 - -36.3255 -43.6246 22.7896 H 0 0 0 0 0 0 0 0 0 0 0 0 - -39.2564 -47.6658 21.4559 H 0 0 0 0 0 0 0 0 0 0 0 0 - -36.3797 -47.0817 23.7462 H 0 0 0 0 0 0 0 0 0 0 0 0 - -37.2893 -48.3276 22.9503 H 0 0 0 0 0 0 0 0 0 0 0 0 - 1 2 2 0 - 1 5 1 0 - 2 7 1 0 - 3 4 2 0 - 3 8 1 0 - 4 10 1 0 - 5 11 2 0 - 6 8 2 0 - 6 9 1 0 - 7 20 2 0 - 8 11 1 0 - 9 10 2 0 - 9 15 1 0 - 10 25 1 0 - 11 20 1 0 - 12 15 1 0 - 12 21 1 0 - 12 24 2 0 - 13 21 1 0 - 13 22 2 0 - 13 23 1 0 - 15 14 1 6 - 14 16 1 0 - 15 22 1 0 - 16 17 1 0 - 16 18 1 0 - 16 25 1 0 - 19 21 1 0 - 1 26 1 0 - 2 27 1 0 - 3 28 1 0 - 4 29 1 0 - 5 30 1 0 - 6 31 1 0 - 7 32 1 0 - 14 33 1 0 - 14 34 1 0 - 17 35 1 0 - 17 36 1 0 - 17 37 1 0 - 18 38 1 0 - 18 39 1 0 - 18 40 1 0 - 19 41 1 0 - 19 42 1 0 - 19 43 1 0 - 22 44 1 0 - 23 45 1 0 - 23 46 1 0 -M CHG 1 22 1 -M END -> (18) -2363 - -> (18) -10.1021/jm4002154 - -> (18) -lig_32 - -> (18) --0.094456587351210736 -0.24900171569670024 -0.047220897293933063 -0.13793898037756266 -0.17958119920576396 -0.05356376654589954 0.41618340798532183 -0.1650711934932548 -0.22787222675169291 -0.19354924150621114 0.43721666523133929 0.70055627413903887 0.48263132163201983 -0.11058447173918071 0.067200224482170917 0.18152233549272237 -0.11062539032781901 -0.11062539032781901 -0.053826991104237408 -0.65043092182958906 -0.42453009299124067 -0.40579355172003095 -0.47590816429937666 -0.45984420589292829 -0.32098704985464399 0.14327594228898702 0.15019799359952626 -0.14514892884408651 0.16679718681489644 0.15555485674058614 0.13223166354810414 0.027830237158290718 0.089686285339943744 0.089686285339943744 0.058868813895336956 0.058868813895336956 -0.058868813895336956 0.058868813895336956 0.058868813895336956 0.058868813895336956 0.082591738187424518 0.082591738187424518 0.082591738187424518 0.33651199527894671 0.32671993561898882 -0.32671993561898882 - -> (18) -{"openfe_version": "1.8.0", "openff_toolkit_version": "0.18.0", "rdkit_version": "2025.09.4", "charge_method": "nagl_off", "nagl_version": "0.5.4", "nagl_model": "openff-gnn-am1bcc-1.0.0.pt"} - -$$$$ diff --git a/mixed_networks/mixed_networks.ipynb b/mixed_networks/mixed_networks.ipynb index 1e916c2..9039b1f 100644 --- a/mixed_networks/mixed_networks.ipynb +++ b/mixed_networks/mixed_networks.ipynb @@ -10,26 +10,26 @@ "\n", "**openfe** provides a number of protocols to estimate free energy differences, each with their own areas of applicability and limitations, suited to answering different types of scientific questions. While traditionally these protocols have been used in isolation, it is possible, thanks to the interchangeable nature of **openfe**, to combine them into a single network of transformations to leverage the strengths of each protocol.\n", "\n", - "This notebook demonstrates one way to create a mixed protocol network, combining two relative binding free energy approaches: the [Relative Hybrid Topology Protocol](https://docs.openfree.energy/en/latest/guide/protocols/relativehybridtopology.html#userguide-relative-hybrid-topology-protocol) and the [Separated Topologies Protocol](https://docs.openfree.energy/en/latest/guide/protocols/septop.html) to compute absolute binding affinities. A complete list of the available protocols along with their strengths and limitations can be found in the [protocol overview](https://docs.openfree.energy/en/latest/guide/protocols/index.html).\n", + "This notebook demonstrates one way to create a mixed protocol network, combining two relative binding free energy approaches: the [Relative Hybrid Topology Protocol](https://docs.openfree.energy/en/latest/guide/protocols/relativehybridtopology.html#userguide-relative-hybrid-topology-protocol) and the [Separated Topologies Protocol](https://docs.openfree.energy/en/latest/guide/protocols/septop.html) to compute absolute binding affinities of a set of small molecules. A complete list of the available protocols along with their strengths and limitations can be found in the [protocol overview](https://docs.openfree.energy/en/latest/guide/protocols/index.html).\n", "\n", "## Overview\n", "\n", - "In this tutorial, we will demonstrate how to create a mixed protocol network to compute absolute binding free energies for `three` distinct ligand scaffold series bound to $\\beta$-secretase 1 (BACE1) taken from [Baumann et al.](https://doi.org/10.1021/acs.jctc.3c00282). The dataset contains a total of 18 ligands with 6 ligands in each of the three unique scaffold series grouped as `biaryl`, `spirocyclic` and `amide`, examples of each are shown below:\n", + "In this tutorial, we will demonstrate how to create a mixed protocol network to estimate absolute binding free energies for `three` distinct ligand scaffold series bound to $\\beta$-secretase 1 (BACE1) taken from [Baumann et al.](https://doi.org/10.1021/acs.jctc.3c00282). The dataset contains a total of 18 ligands with 6 ligands in each of the three unique scaffold series grouped as `biaryl`, `spirocyclic` and `amide`, examples of each are shown below:\n", "\n", "\n", "\n", "While each subset of ligands forms a congeneric series suitable for the hybrid topology approach, connections between the series are more challenging due to the large structural differences between the scaffolds. To overcome this, we will use the separated topologies approach to connect the three series together. Here we present one possible way to construct a mixed protocol with minimal manual intervention which can be broken down into the following steps:\n", "\n", - "- Plan a single LOMAP style hybrid topology binding free energy network with the Kartograf atom mapper and default lomap scorer\n", + "- Plan a single LOMAP-style hybrid topology binding free energy network with the Kartograf atom mapper and default LOMAP scorer\n", "- Identify edges within this network between the three distinct series that are not suitable for the hybrid topology approach\n", "- Build the transformations for the network, assigning the appropriate protocol to each transformation\n", - "- Execute and analyze the results to estimate the absolute binding free energies for each ligand\n", + "- Analyze the results to estimate the absolute binding free energies for each ligand\n", "\n", - "## Load and classify the ligands\n", + "# Load and classify the ligands\n", "\n", - "First we start by loading the ligands from the provided SDF file and creating a mapping between the ligand name and respective series. The ligands are then converted to `SmallMoleculeComponents` for use within **openfe**.\n", + "First, load the ligands from the provided SDF file and map each ligand name to its series. Convert the ligands to `SmallMoleculeComponents` for use with **openfe**.\n", "\n", - "
Note: Ligands should have partial charges assigned before planning the network, here we use pre-charged ligands but charges can be generated via the CLI or API.
" + "
Note: Ligands should have partial charges assigned before planning the network. Here, we use pre-charged ligands, but charges can also be generated via the CLI or API.
" ], "id": "a0078e37a2ae4ea9", "attachments": { @@ -41,8 +41,8 @@ { "metadata": { "ExecuteTime": { - "end_time": "2026-10-28T12:29:30.806011Z", - "start_time": "2026-10-28T12:29:30.421333Z" + "end_time": "2026-10-28T16:18:02.731710Z", + "start_time": "2026-10-28T16:18:02.456708Z" } }, "cell_type": "code", @@ -83,34 +83,34 @@ "name": "stderr", "output_type": "stream", "text": [ - "INFO:gufekey.gufe.components.smallmoleculecomponent.SmallMoleculeComponent:Partial charges are present for SmallMoleculeComponent-bac489de520eadaa7126ee6641163303 (name: 'lig_41')\n", + "INFO:gufekey.gufe.components.smallmoleculecomponent.SmallMoleculeComponent:Partial charges are present for SmallMoleculeComponent-183ce45f91ea63c1b1a5c2ca71683a2e (name: 'lig_02')\n", "INFO:gufekey.gufe.components.smallmoleculecomponent.SmallMoleculeComponent:Partial charges are present for SmallMoleculeComponent-3a85837a992c824bb4e0ef1eb4f03b21 (name: 'lig_03')\n", + "INFO:gufekey.gufe.components.smallmoleculecomponent.SmallMoleculeComponent:Partial charges are present for SmallMoleculeComponent-e7b8bc753a9243d52039be2ad197a3b1 (name: 'lig_04')\n", + "INFO:gufekey.gufe.components.smallmoleculecomponent.SmallMoleculeComponent:Partial charges are present for SmallMoleculeComponent-6a2222de00a67b9cddf4402ae67abc46 (name: 'lig_05')\n", + "INFO:gufekey.gufe.components.smallmoleculecomponent.SmallMoleculeComponent:Partial charges are present for SmallMoleculeComponent-b900f42ff3161e6e4b663a908d99d382 (name: 'lig_06')\n", "INFO:gufekey.gufe.components.smallmoleculecomponent.SmallMoleculeComponent:Partial charges are present for SmallMoleculeComponent-0b73c8a6df07a0beed455c479519b97f (name: 'lig_07')\n", - "INFO:gufekey.gufe.components.smallmoleculecomponent.SmallMoleculeComponent:Partial charges are present for SmallMoleculeComponent-d8bb71cb61021ff28fa31ae90db5e9af (name: 'lig_1a')\n", - "INFO:gufekey.gufe.components.smallmoleculecomponent.SmallMoleculeComponent:Partial charges are present for SmallMoleculeComponent-e4c4a874b03c3a3cc36867807030f34f (name: 'lig_45')\n", - "INFO:gufekey.gufe.components.smallmoleculecomponent.SmallMoleculeComponent:Partial charges are present for SmallMoleculeComponent-2ff86e4d2ac0278821209e3a10b83248 (name: 'lig_16')\n", "INFO:gufekey.gufe.components.smallmoleculecomponent.SmallMoleculeComponent:Partial charges are present for SmallMoleculeComponent-a98f0ca0ad081239d749efbe258e0bf3 (name: 'lig_11')\n", + "INFO:gufekey.gufe.components.smallmoleculecomponent.SmallMoleculeComponent:Partial charges are present for SmallMoleculeComponent-5119445cbe99f49d31eb73b97fc409a4 (name: 'lig_13')\n", + "INFO:gufekey.gufe.components.smallmoleculecomponent.SmallMoleculeComponent:Partial charges are present for SmallMoleculeComponent-2ff86e4d2ac0278821209e3a10b83248 (name: 'lig_16')\n", + "INFO:gufekey.gufe.components.smallmoleculecomponent.SmallMoleculeComponent:Partial charges are present for SmallMoleculeComponent-d8bb71cb61021ff28fa31ae90db5e9af (name: 'lig_1a')\n", + "INFO:gufekey.gufe.components.smallmoleculecomponent.SmallMoleculeComponent:Partial charges are present for SmallMoleculeComponent-73e7964450ae778448e6e7bb6ee9c24e (name: 'lig_32')\n", "INFO:gufekey.gufe.components.smallmoleculecomponent.SmallMoleculeComponent:Partial charges are present for SmallMoleculeComponent-02f2fb7b039d551f4d79f052220924b1 (name: 'lig_36')\n", - "INFO:gufekey.gufe.components.smallmoleculecomponent.SmallMoleculeComponent:Partial charges are present for SmallMoleculeComponent-183ce45f91ea63c1b1a5c2ca71683a2e (name: 'lig_02')\n", - "INFO:gufekey.gufe.components.smallmoleculecomponent.SmallMoleculeComponent:Partial charges are present for SmallMoleculeComponent-17032cd50d866ce3f805801db1cac89a (name: 'lig_74')\n", + "INFO:gufekey.gufe.components.smallmoleculecomponent.SmallMoleculeComponent:Partial charges are present for SmallMoleculeComponent-bac489de520eadaa7126ee6641163303 (name: 'lig_41')\n", + "INFO:gufekey.gufe.components.smallmoleculecomponent.SmallMoleculeComponent:Partial charges are present for SmallMoleculeComponent-e4c4a874b03c3a3cc36867807030f34f (name: 'lig_45')\n", "INFO:gufekey.gufe.components.smallmoleculecomponent.SmallMoleculeComponent:Partial charges are present for SmallMoleculeComponent-4931369e87328f26f82811c9afc8e55c (name: 'lig_67')\n", "INFO:gufekey.gufe.components.smallmoleculecomponent.SmallMoleculeComponent:Partial charges are present for SmallMoleculeComponent-24d9e0a297a1559b9e36e980b8b321ba (name: 'lig_69')\n", - "INFO:gufekey.gufe.components.smallmoleculecomponent.SmallMoleculeComponent:Partial charges are present for SmallMoleculeComponent-e7b8bc753a9243d52039be2ad197a3b1 (name: 'lig_04')\n", - "INFO:gufekey.gufe.components.smallmoleculecomponent.SmallMoleculeComponent:Partial charges are present for SmallMoleculeComponent-11a9e1c36f7dbaf234e69ef0d0a99b84 (name: 'lig_81')\n", - "INFO:gufekey.gufe.components.smallmoleculecomponent.SmallMoleculeComponent:Partial charges are present for SmallMoleculeComponent-5119445cbe99f49d31eb73b97fc409a4 (name: 'lig_13')\n", - "INFO:gufekey.gufe.components.smallmoleculecomponent.SmallMoleculeComponent:Partial charges are present for SmallMoleculeComponent-b900f42ff3161e6e4b663a908d99d382 (name: 'lig_06')\n", - "INFO:gufekey.gufe.components.smallmoleculecomponent.SmallMoleculeComponent:Partial charges are present for SmallMoleculeComponent-6a2222de00a67b9cddf4402ae67abc46 (name: 'lig_05')\n", - "INFO:gufekey.gufe.components.smallmoleculecomponent.SmallMoleculeComponent:Partial charges are present for SmallMoleculeComponent-73e7964450ae778448e6e7bb6ee9c24e (name: 'lig_32')\n" + "INFO:gufekey.gufe.components.smallmoleculecomponent.SmallMoleculeComponent:Partial charges are present for SmallMoleculeComponent-17032cd50d866ce3f805801db1cac89a (name: 'lig_74')\n", + "INFO:gufekey.gufe.components.smallmoleculecomponent.SmallMoleculeComponent:Partial charges are present for SmallMoleculeComponent-11a9e1c36f7dbaf234e69ef0d0a99b84 (name: 'lig_81')\n" ] } ], - "execution_count": 71 + "execution_count": 132 }, { "metadata": {}, "cell_type": "markdown", "source": [ - "## Creating the `LigandNetwork`\n", + "# Creating the `LigandNetwork`\n", "\n", "Next we will create a single `LigandNetwork` containing all 18 ligands. This network will be used to identify edges between the three series that are not suitable for the hybrid topology approach, and will be assigned the separated topologies protocol later. In order to create a `LigandNetwork`, we need to define three components:\n", "\n", @@ -123,8 +123,8 @@ { "metadata": { "ExecuteTime": { - "end_time": "2026-10-28T10:40:16.881828Z", - "start_time": "2026-10-28T10:40:10.501269Z" + "end_time": "2026-10-28T16:18:11.911974Z", + "start_time": "2026-10-28T16:18:03.841324Z" } }, "cell_type": "code", @@ -2446,31 +2446,31 @@ "INFO:kartograf.atom_mapper:Calculate Mapping\n", "INFO:kartograf.atom_mapper:Find Maximal overlapping connected sets of mapped atoms\n", "INFO:kartograf.atom_mapper:Filtering bond breaks\n", - "INFO:root:Trying to remove edge 7-17 with similarity 0.670320\n", + "INFO:root:Trying to remove edge 10-11 with similarity 0.670320\n", "INFO:root:Checking edge deletion on distance-to-actives 0 vs 0\n", - "INFO:root:Removed edge 7-17\n", - "INFO:root:Trying to remove edge 5-14 with similarity 0.670320\n", + "INFO:root:Removed edge 10-11\n", + "INFO:root:Trying to remove edge 7-8 with similarity 0.670320\n", "INFO:root:Checking edge deletion on distance-to-actives 0 vs 0\n", - "INFO:root:Removed edge 5-14\n", - "INFO:root:Trying to remove edge 6-7 with similarity 0.704688\n", - "INFO:root:Rejecting edge deletion on cycle covering\n", - "INFO:root:Trying to remove edge 5-17 with similarity 0.778801\n", + "INFO:root:Removed edge 7-8\n", + "INFO:root:Trying to remove edge 6-11 with similarity 0.704688\n", "INFO:root:Rejecting edge deletion on cycle covering\n", - "INFO:root:Trying to remove edge 14-17 with similarity 0.778801\n", + "INFO:root:Trying to remove edge 7-10 with similarity 0.778801\n", "INFO:root:Checking edge deletion on distance-to-actives 0 vs 0\n", - "INFO:root:Removed edge 14-17\n", - "INFO:root:Trying to remove edge 7-14 with similarity 0.818731\n", + "INFO:root:Removed edge 7-10\n", + "INFO:root:Trying to remove edge 8-10 with similarity 0.778801\n", "INFO:root:Rejecting edge deletion on cycle covering\n", - "INFO:root:Trying to remove edge 5-6 with similarity 0.818731\n", + "INFO:root:Trying to remove edge 7-11 with similarity 0.818731\n", "INFO:root:Rejecting edge deletion on cycle covering\n", - "INFO:root:Trying to remove edge 6-14 with similarity 0.818731\n", + "INFO:root:Trying to remove edge 6-7 with similarity 0.818731\n", "INFO:root:Rejecting edge deletion on cycle covering\n", - "INFO:root:Trying to remove edge 6-17 with similarity 0.951229\n", + "INFO:root:Trying to remove edge 6-8 with similarity 0.818731\n", + "INFO:root:Rejecting edge deletion on cycle covering\n", + "INFO:root:Trying to remove edge 6-10 with similarity 0.951229\n", "INFO:root:Rejecting edge deletion on cycle covering\n" ] } ], - "execution_count": 29 + "execution_count": 133 }, { "metadata": {}, @@ -2485,8 +2485,8 @@ { "metadata": { "ExecuteTime": { - "end_time": "2026-10-28T10:56:23.165359Z", - "start_time": "2026-10-28T10:56:23.078480Z" + "end_time": "2026-10-28T16:18:12.026699Z", + "start_time": "2026-10-28T16:18:11.918704Z" } }, "cell_type": "code", @@ -2504,7 +2504,7 @@ "network_graph = nx.Graph()\n", "for edge in network.edges:\n", " network_graph.add_edge(edge.componentA.name, edge.componentB.name)\n", - "pos = nx.spring_layout(network_graph, seed=42)\n", + "pos = nx.spring_layout(network_graph, seed=1)\n", "node_colors = [series_to_color[ligand_series_mapping[node]] for node in network_graph.nodes()]\n", "edge_colors = [\"black\" if ligand_series_mapping[edge[0]] == ligand_series_mapping[edge[1]] else \"red\" for edge in network_graph.edges()]\n", "plt.figure(figsize=(10, 8))\n", @@ -2519,13 +2519,13 @@ "text/plain": [ "
" ], - "image/png": 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" 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" }, "metadata": {}, "output_type": "display_data" } ], - "execution_count": 48 + "execution_count": 134 }, { "metadata": {}, @@ -2533,17 +2533,18 @@ "source": [ "## Inspecting the atom mappings\n", "\n", - "Now we can inspect and compare the atom mappings and associated scores for edges between the series with those within each series. First lets inspect an edge between the `biaryl` and `spirocyclic` series involving ligands `lig_03` and `lig_11`. The atom mapping is shown below along with the associated score. The score is relatively low due to the large number of alchemical atoms required, indicating that this edge may be difficult to converge with the hybrid topology approach.\n", "\n", - "
Reminder: Shared core (mapped) atoms are shown in black and thoses unique to each end state are shown in red. Mapped atoms whoes element change during the simulation are shown in blue.
" + "Now we can compare atom mappings and scores for edges between and within the series. First, let's inspect an edge between the `biaryl` and `spirocyclic` series, connecting ligands `lig_03` and `lig_11`. The mapping and its score are shown below. The low score reflects the large number of alchemical atoms and suggests that calculations for this edge may be challenging to converge with the hybrid topology approach.\n", + "\n", + "
Reminder: Shared core (mapped) atoms are shown in black, and atoms unique to each end state are shown in red. Mapped atoms whose elements change during the simulation are shown in blue.
" ], "id": "feadf6d35aa1a518" }, { "metadata": { "ExecuteTime": { - "end_time": "2026-10-28T11:00:35.073751Z", - "start_time": "2026-10-28T11:00:34.934732Z" + "end_time": "2026-10-30T11:30:59.149154Z", + "start_time": "2026-10-30T11:30:58.832652Z" } }, "cell_type": "code", @@ -2564,13 +2565,13 @@ "output_type": "display_data" } ], - "execution_count": 51 + "execution_count": 178 }, { "metadata": { "ExecuteTime": { - "end_time": "2026-10-28T11:00:57.151097Z", - "start_time": "2026-10-28T11:00:57.102644Z" + "end_time": "2026-10-30T11:30:59.970338Z", + "start_time": "2026-10-30T11:30:59.925648Z" } }, "cell_type": "code", @@ -2586,18 +2587,18 @@ "{'score': 0.008208499862389881}" ] }, - "execution_count": 52, + "execution_count": 179, "metadata": {}, "output_type": "execute_result" } ], - "execution_count": 52 + "execution_count": 179 }, { "metadata": { "ExecuteTime": { - "end_time": "2026-10-28T11:05:51.518159Z", - "start_time": "2026-10-28T11:05:51.459260Z" + "end_time": "2026-10-30T11:31:00.966094Z", + "start_time": "2026-10-30T11:31:00.915591Z" } }, "cell_type": "code", @@ -2619,13 +2620,13 @@ "output_type": "display_data" } ], - "execution_count": 53 + "execution_count": 180 }, { "metadata": { "ExecuteTime": { - "end_time": "2026-10-28T11:05:59.860621Z", - "start_time": "2026-10-28T11:05:59.835572Z" + "end_time": "2026-10-30T11:31:01.947766Z", + "start_time": "2026-10-30T11:31:01.920788Z" } }, "cell_type": "code", @@ -2641,28 +2642,28 @@ "{'score': 0.951229424500714}" ] }, - "execution_count": 54, + "execution_count": 181, "metadata": {}, "output_type": "execute_result" } ], - "execution_count": 54 + "execution_count": 181 }, { "metadata": {}, "cell_type": "markdown", "source": [ - "## Configure the `Protocols`\n", + "# Configure the `Protocols`\n", "\n", - "Before building the transformations for the network we need to configure the protocol settings for both the hybrid topology and separated topologies protocols. By default, the force fields used by these protocols match however changes to one protocol should be reflected in the other. We will also be using the `_adaptive_settings` method to automatically adjust the settings based on the systems involved in the transformation, this is particularly useful for the hybrid topology protocol which adjusts the solvent padding based on the presence of a receptor in the system." + "Before building the network transformations, configure the settings for both the hybrid topology and separated topologies protocols. By default, the protocols use the same small molecule force field, if you want to use a different force field this setting should be changed in both protocols as shown. We also use `_adaptive_settings` to adjust settings for each system. This is particularly useful for the hybrid topology protocol, which adjusts solvent padding based on whether a receptor is present." ], "id": "ab9906252acf1ca" }, { "metadata": { "ExecuteTime": { - "end_time": "2026-10-28T11:28:28.334763Z", - "start_time": "2026-10-28T11:28:28.299630Z" + "end_time": "2026-10-28T16:18:12.220434Z", + "start_time": "2026-10-28T16:18:12.203607Z" } }, "cell_type": "code", @@ -2682,25 +2683,25 @@ ], "id": "43fc256c3e0ff239", "outputs": [], - "execution_count": 65 + "execution_count": 139 }, { "metadata": {}, "cell_type": "markdown", "source": [ - "## Building the `Transformations`\n", + "# Building the `Transformation`\n", "\n", "Now we can build the transformations for this network, assigning the appropriate protocol for each transformation. Here we will use the hybrid topology protocol for edges within each series and the separated topologies protocol for edges between the series.\n", "\n", - "Each protocol has different requirements for the `ChemicalSystem` compositions used to represent the end states of the transformation. This is due to the hybrid topology protocol requiring the `complex` and `solvent` legs be constructed manually as separate `Transformation` objects while the separated topologies protocol runs both the `complex` and `solvent` legs within a single `Transformation` object. The code below demonstrates how to build the transformations for both protocols while ensuring the correct `ChemicalSystem` objects are used for each protocol. For more information on the requirements for each protocol see the [examples documentation](https://docs.openfree.energy/en/stable/guide/setup/chemical_systems_and_thermodynamic_cycles.html#system-composition-examples)." + "Each protocol has different requirements for the `ChemicalSystem` compositions that represent the transformation's end states. The hybrid topology protocol requires you to construct the `complex` and `solvent` legs as separate `Transformation` objects, while the separated topologies protocol runs both legs within a single `Transformation`. The code below shows how to build transformations for both protocols with the appropriate `ChemicalSystem` objects. For more information about each protocol's requirements, see the [examples documentation](https://docs.openfree.energy/en/stable/guide/setup/chemical_systems_and_thermodynamic_cycles.html#system-composition-examples)." ], "id": "2c1e9779b733eb13" }, { "metadata": { "ExecuteTime": { - "end_time": "2026-10-28T11:52:55.933717Z", - "start_time": "2026-10-28T11:52:55.331525Z" + "end_time": "2026-10-30T11:32:10.898883Z", + "start_time": "2026-10-30T11:32:10.323090Z" } }, "cell_type": "code", @@ -2714,7 +2715,12 @@ "\n", "\n", "# define helper functions to build the transformations for each protocol\n", - "def build_hybrid_topology_transformation(edge: openfe.LigandAtomMapping, default_settings: RelativeHybridTopologyProtocolSettings, protein_comp: openfe.ProteinComponent, solvent_comp: openfe.SolventComponent) -> list[openfe.Transformation]:\n", + "def build_hybrid_topology_transformation(\n", + " edge: openfe.LigandAtomMapping,\n", + " default_settings: RelativeHybridTopologyProtocolSettings,\n", + " protein_comp: openfe.ProteinComponent,\n", + " solvent_comp: openfe.SolventComponent\n", + ") -> list[openfe.Transformation]:\n", " \"\"\"Build the complex and solvent leg transformations for a given ligand atom mapping using the hybrid topology protocol.\"\"\"\n", " transformations = []\n", " for leg in [\"solvent\", \"complex\"]:\n", @@ -2747,7 +2753,12 @@ " return transformations\n", "\n", "\n", - "def build_septop_transformation(edge: openfe.LigandAtomMapping, default_settings: SepTopSettings, protein_comp: openfe.ProteinComponent, solvent_comp: openfe.SolventComponent) -> list[openfe.Transformation]:\n", + "def build_septop_transformation(\n", + " edge: openfe.LigandAtomMapping,\n", + " default_settings: SepTopSettings,\n", + " protein_comp: openfe.ProteinComponent,\n", + " solvent_comp: openfe.SolventComponent\n", + ") -> list[openfe.Transformation]:\n", " \"\"\"Build the transformation for a given ligand atom mapping using the separated topologies protocol.\"\"\"\n", " state_a_dict = {\"ligand\": edge.componentA, \"protein\": protein_comp, \"solvent\": solvent_comp}\n", " state_b_dict = {\"ligand\": edge.componentB, \"protein\": protein_comp, \"solvent\": solvent_comp}\n", @@ -2774,19 +2785,19 @@ ], "id": "4b08f0258bbdd052", "outputs": [], - "execution_count": 67 + "execution_count": 182 }, { "metadata": {}, "cell_type": "markdown", - "source": "We can now build the transformations required to execute the edges in the planned network. The code below iterates through the edges in the `LigandNetwork` and builds the appropriate transformations for each edge based on whether the edge is within a series or between series. The transformations can then be writen to disk which can be executed using the [openfe quickrun CLI](https://docs.openfree.energy/en/stable/guide/introduction.html#cli-workflow).", + "source": "We can now build the transformations required to execute the planned network's edges. The code below iterates through the `LigandNetwork` and builds transformations according to whether each edge is within or between series. We then write the transformations to disk where they can then be executed using the [openfe quickrun CLI](https://docs.openfree.energy/en/stable/guide/introduction.html#cli-workflow).", "id": "c3b0890f5793275c" }, { "metadata": { "ExecuteTime": { - "end_time": "2026-10-28T12:27:09.467138Z", - "start_time": "2026-10-28T12:26:57.477396Z" + "end_time": "2026-10-28T16:18:28.893208Z", + "start_time": "2026-10-28T16:18:21.554588Z" } }, "cell_type": "code", @@ -2817,19 +2828,19 @@ ], "id": "fcc7a807d6edc1a8", "outputs": [], - "execution_count": 69 + "execution_count": 141 }, { "metadata": {}, "cell_type": "markdown", - "source": "We can also check how many transformations were created for each protocol. The hybrid topology protocol should have 44 transformations (22 edges * 2 legs) while the separated topologies protocol should have 6 transformations (6 connecting edges).", + "source": "We can also check how many transformations were created for each protocol. The hybrid topology protocol should have 46 transformations (23 edges * 2 legs), while the separated topologies protocol should have 6 transformations (6 connecting edges).", "id": "8aa9a3a8ad2ce7c5" }, { "metadata": { "ExecuteTime": { - "end_time": "2026-10-28T12:57:19.849140Z", - "start_time": "2026-10-28T12:57:19.817053Z" + "end_time": "2026-10-30T11:32:55.471534Z", + "start_time": "2026-10-30T11:32:55.433358Z" } }, "cell_type": "code", @@ -2848,24 +2859,879 @@ { "data": { "text/plain": [ - "{openfe.protocols.openmm_rfe.hybridtop_protocols.RelativeHybridTopologyProtocol: 44,\n", + "{openfe.protocols.openmm_rfe.hybridtop_protocols.RelativeHybridTopologyProtocol: 46,\n", " openfe.protocols.openmm_septop.equil_septop_method.SepTopProtocol: 6}" ] }, - "execution_count": 77, + "execution_count": 183, "metadata": {}, "output_type": "execute_result" } ], - "execution_count": 77 + "execution_count": 183 }, { "metadata": {}, + "cell_type": "markdown", + "source": [ + "# Analyzing a mixed protocol network\n", + "\n", + "After executing each transformation we can analyze the results from a mixed-protocol network using the API. First load results from both protocols and extract the $\\Delta\\Delta$G estimates for each leg, then combine them to estimate the absolute binding free energies for each ligand. We begin by defining helper functions to load the results and group them by the ligands and protocols involved in each transformation.\n", + "\n", + "
Warning: Gathering the results of a mixed-protocol network is not currently possible via the CLI.
" + ], + "id": "ab7ecee9702fad84" + }, + { + "metadata": { + "ExecuteTime": { + "end_time": "2026-10-30T11:33:54.755101Z", + "start_time": "2026-10-30T11:33:54.719436Z" + } + }, "cell_type": "code", + "source": [ + "from collections import defaultdict\n", + "\n", + "import numpy as np\n", + "from openff.units import unit\n", + "\n", + "def classify_result(fpath: pathlib.Path) -> dict:\n", + " \"\"\"Load a JSON file containing a quickrun result and return a dict containing the relevant information for classifying the result.\n", + "\n", + " Parameters\n", + " ----------\n", + " fpath : os.PathLike | str\n", + " The path to a gufe-serialized JSON.\n", + "\n", + "\n", + " Returns\n", + " -------\n", + " dict\n", + " A dict containing data from the results JSON.\n", + "\n", + " \"\"\"\n", + " with open(fpath, \"r\") as f:\n", + " result_data = json.load(f)\n", + "\n", + " def to_kcal(q: dict) -> float:\n", + " return unit.Quantity(q[\"magnitude\"], q[\"unit\"]).to(\"kilocalorie_per_mole\").m\n", + "\n", + " # grab all the units\n", + " units = [u for u in result_data[\"unit_results\"].values() if u.get(\"outputs\")]\n", + " is_septop = any(\"SepTop\" in u[\"source_key\"] for u in units)\n", + " # get the phase and ligands involved from the file name\n", + " edge_name = fpath.stem\n", + " if \"solvent\" in fpath.name:\n", + " phase = \"solvent\"\n", + " edge_name = edge_name.removeprefix(\"solvent_\")\n", + " elif \"complex\" in fpath.name:\n", + " phase = \"complex\"\n", + " edge_name = edge_name.removeprefix(\"complex_\")\n", + " else:\n", + " # this is the septop result\n", + " phase = None\n", + " lig_a = edge_name[:6]\n", + " lig_b = edge_name[7:]\n", + " classified = {\"lig_a\": lig_a, \"lig_b\": lig_b, \"phase\": phase}\n", + "\n", + " if not is_septop:\n", + " # the top level estimate is the DDG (or the leg DG) of the hybrid topology protocol, in kcal/mol\n", + " classified.update(\n", + " protocol=\"RelativeHybridTopologyProtocol\",\n", + " estimate=to_kcal(result_data[\"estimate\"]),\n", + " uncertainty=to_kcal(result_data[\"uncertainty\"]),\n", + " )\n", + " return classified\n", + "\n", + " # For SepTop, combine the individual legs following the approach used by SepTopProtocolResult.\n", + " complex_dg = solvent_dg = complex_error = solvent_error = None\n", + " complex_corr = solvent_corr = 0.0\n", + " for u in units:\n", + " outputs = u[\"outputs\"]\n", + " if \"unit_estimate\" in outputs:\n", + " dg, error = to_kcal(outputs[\"unit_estimate\"]), to_kcal(outputs[\"unit_estimate_error\"])\n", + " if outputs[\"simtype\"] == \"complex\":\n", + " complex_dg, complex_error = dg, error\n", + " else:\n", + " solvent_dg, solvent_error = dg, error\n", + " if \"standard_state_correction_A\" in outputs:\n", + " complex_corr = to_kcal(outputs[\"standard_state_correction_A\"]) + to_kcal(outputs[\"standard_state_correction_B\"])\n", + " elif \"standard_state_correction\" in outputs:\n", + " solvent_corr = to_kcal(outputs[\"standard_state_correction\"])\n", + " if complex_dg is None or solvent_dg is None:\n", + " raise ValueError(f\"{fpath}: missing a complex or solvent estimate, this is likely a failed simulation.\")\n", + "\n", + " classified.update(\n", + " protocol=\"SepTopProtocol\",\n", + " complex_dg=complex_dg + complex_corr,\n", + " solvent_dg=solvent_dg + solvent_corr,\n", + " complex_error=complex_error,\n", + " solvent_error=solvent_error,\n", + " )\n", + " return classified\n", + "\n", + "\n", + "def septop_ddg(repeats: list[dict]) -> tuple[float, float]:\n", + " \"\"\"Combine the septop results of an edge into a DDG (kcal/mol) and uncertainty, matching ``SepTopProtocolResult``.\n", + " \"\"\"\n", + " complex_dgs = np.array([r[\"complex_dg\"] for r in repeats])\n", + " solvent_dgs = np.array([r[\"solvent_dg\"] for r in repeats])\n", + " ddg = complex_dgs.mean() - solvent_dgs.mean()\n", + " if len(repeats) > 1:\n", + " error = np.sqrt(np.std(complex_dgs, ddof=1) ** 2 + np.std(solvent_dgs, ddof=1) ** 2)\n", + " else:\n", + " error = np.sqrt(repeats[0][\"complex_error\"] ** 2 + repeats[0][\"solvent_error\"] ** 2)\n", + " return float(ddg), float(error)\n", + "\n", + "\n", + "def hybrid_topology_ddg(complex_repeats: list[dict], solvent_repeats: list[dict]) -> tuple[float, float]:\n", + " \"\"\"Combine the hybrid topology complex and solvent leg results of an edge into a DDG (kcal/mol) and uncertainty.\n", + " \"\"\"\n", + " complex_dgs = np.array([r[\"estimate\"] for r in complex_repeats])\n", + " solvent_dgs = np.array([r[\"estimate\"] for r in solvent_repeats])\n", + " ddg = complex_dgs.mean() - solvent_dgs.mean()\n", + "\n", + " def sample_std(values):\n", + " # a single repeat has no defined sample std\n", + " return np.std(values, ddof=1) if len(values) > 1 else 0.0\n", + "\n", + " error = np.sqrt(sample_std(complex_dgs) ** 2 + sample_std(solvent_dgs) ** 2)\n", + " return float(ddg), float(error)" + ], + "id": "27d647049e330837", "outputs": [], - "execution_count": null, - "source": "", - "id": "27d647049e330837" + "execution_count": 184 + }, + { + "metadata": {}, + "cell_type": "markdown", + "source": [ + "## Downloading the example results\n", + "\n", + "First, let's download example results for the transformations created above.\n", + "\n", + "## Gathering the raw $\\Delta\\Delta$G results\n", + "\n", + "Now we can classify the results by protocol and collect the $\\Delta\\Delta$G estimates in kcal/mol in a DataFrame. We also combine repeated runs of each transformation into a single estimate and uncertainty for each edge and protocol." + ], + "id": "20736e7c898ee06a" + }, + { + "metadata": { + "ExecuteTime": { + "end_time": "2026-10-28T17:38:44.786590Z", + "start_time": "2026-10-28T17:38:39.810431Z" + } + }, + "cell_type": "code", + "source": [ + "import pandas as pd\n", + "\n", + "all_results = pathlib.Path(\"/Users/joshua/Documents/Projects/openfe/free_energy_2026/mixed_networks/bace1_baumann/results_download/mixed_results\")\n", + "\n", + "# Containers for the results of each protocol, grouped by the ligands involved in the transformation\n", + "septop_results = defaultdict(list)\n", + "hybrid_topology_results = {\"complex\": defaultdict(list), \"solvent\": defaultdict(list)}\n", + "\n", + "for file in all_results.rglob(\"*.json\"):\n", + " result_data = classify_result(file)\n", + " if result_data[\"protocol\"] == \"SepTopProtocol\":\n", + " septop_results[(result_data[\"lig_a\"], result_data[\"lig_b\"])].append(result_data)\n", + " elif result_data[\"protocol\"] == \"RelativeHybridTopologyProtocol\":\n", + " hybrid_topology_results[result_data[\"phase\"]][(result_data[\"lig_a\"], result_data[\"lig_b\"])].append(result_data)\n", + "\n", + "# Create a dataframe to hold the results for each edge and protocol\n", + "results_df = []\n", + "for edge, repeats in septop_results.items():\n", + " ddg, error = septop_ddg(repeats)\n", + " results_df.append({\n", + " \"lig_a\": edge[0],\n", + " \"lig_b\": edge[1],\n", + " \"protocol\": \"SepTopProtocol\",\n", + " \"ddg (kcal/mol)\": ddg,\n", + " \"error (kcal/mol)\": error\n", + " })\n", + "\n", + "for edge, repeats in hybrid_topology_results[\"complex\"].items():\n", + " solvent_repeats = hybrid_topology_results[\"solvent\"][edge]\n", + " ddg, error = hybrid_topology_ddg(repeats, solvent_repeats)\n", + " results_df.append({\n", + " \"lig_a\": edge[0],\n", + " \"lig_b\": edge[1],\n", + " \"protocol\": \"RelativeHybridTopologyProtocol\",\n", + " \"ddg (kcal/mol)\": ddg,\n", + " \"error (kcal/mol)\": error\n", + " })\n", + "\n", + "results_df = pd.DataFrame(results_df)\n", + "results_df" + ], + "id": "804fec03b92d85f", + "outputs": [ + { + "data": { + "text/plain": [ + " lig_a lig_b protocol ddg (kcal/mol) \\\n", + "0 lig_02 lig_41 SepTopProtocol -2.922078 \n", + "1 lig_03 lig_32 SepTopProtocol 0.293982 \n", + "2 lig_02 lig_67 SepTopProtocol -4.698609 \n", + "3 lig_05 lig_45 SepTopProtocol -3.587460 \n", + "4 lig_02 lig_45 SepTopProtocol -1.938648 \n", + "5 lig_03 lig_11 SepTopProtocol 1.266813 \n", + "6 lig_11 lig_32 RelativeHybridTopologyProtocol 1.513028 \n", + "7 lig_04 lig_05 RelativeHybridTopologyProtocol 0.366913 \n", + "8 lig_06 lig_07 RelativeHybridTopologyProtocol 3.081323 \n", + "9 lig_41 lig_67 RelativeHybridTopologyProtocol -0.571720 \n", + "10 lig_02 lig_03 RelativeHybridTopologyProtocol -3.089208 \n", + "11 lig_11 lig_13 RelativeHybridTopologyProtocol -0.544669 \n", + "12 lig_67 lig_69 RelativeHybridTopologyProtocol -0.646350 \n", + "13 lig_13 lig_36 RelativeHybridTopologyProtocol -2.818366 \n", + "14 lig_13 lig_1a RelativeHybridTopologyProtocol 2.736797 \n", + "15 lig_05 lig_07 RelativeHybridTopologyProtocol 0.718161 \n", + "16 lig_02 lig_04 RelativeHybridTopologyProtocol 0.502572 \n", + "17 lig_02 lig_05 RelativeHybridTopologyProtocol -0.937120 \n", + "18 lig_05 lig_06 RelativeHybridTopologyProtocol -0.194521 \n", + "19 lig_74 lig_81 RelativeHybridTopologyProtocol 2.351567 \n", + "20 lig_11 lig_36 RelativeHybridTopologyProtocol -4.127683 \n", + "21 lig_41 lig_81 RelativeHybridTopologyProtocol -0.809334 \n", + "22 lig_11 lig_1a RelativeHybridTopologyProtocol 1.757897 \n", + "23 lig_41 lig_74 RelativeHybridTopologyProtocol -3.055768 \n", + "24 lig_11 lig_16 RelativeHybridTopologyProtocol 0.623395 \n", + "25 lig_02 lig_07 RelativeHybridTopologyProtocol -0.109589 \n", + "26 lig_03 lig_05 RelativeHybridTopologyProtocol 1.946267 \n", + "27 lig_41 lig_69 RelativeHybridTopologyProtocol -2.824896 \n", + "28 lig_16 lig_32 RelativeHybridTopologyProtocol 0.423409 \n", + "\n", + " error (kcal/mol) \n", + "0 1.322566 \n", + "1 1.265479 \n", + "2 0.435410 \n", + "3 1.891973 \n", + "4 2.541345 \n", + "5 0.559891 \n", + "6 0.213193 \n", + "7 3.247126 \n", + "8 4.612958 \n", + "9 0.227340 \n", + "10 1.556545 \n", + "11 0.372752 \n", + "12 0.593911 \n", + "13 0.153809 \n", + "14 0.317653 \n", + "15 0.284047 \n", + "16 1.895183 \n", + "17 0.608549 \n", + "18 4.321454 \n", + "19 0.281969 \n", + "20 0.386216 \n", + "21 0.112824 \n", + "22 0.251879 \n", + "23 0.200733 \n", + "24 0.398826 \n", + "25 0.381654 \n", + "26 0.826207 \n", + "27 0.860073 \n", + "28 0.581679 " + ], + "text/html": [ + "
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lig_alig_bprotocolddg (kcal/mol)error (kcal/mol)
0lig_02lig_41SepTopProtocol-2.9220781.322566
1lig_03lig_32SepTopProtocol0.2939821.265479
2lig_02lig_67SepTopProtocol-4.6986090.435410
3lig_05lig_45SepTopProtocol-3.5874601.891973
4lig_02lig_45SepTopProtocol-1.9386482.541345
5lig_03lig_11SepTopProtocol1.2668130.559891
6lig_11lig_32RelativeHybridTopologyProtocol1.5130280.213193
7lig_04lig_05RelativeHybridTopologyProtocol0.3669133.247126
8lig_06lig_07RelativeHybridTopologyProtocol3.0813234.612958
9lig_41lig_67RelativeHybridTopologyProtocol-0.5717200.227340
10lig_02lig_03RelativeHybridTopologyProtocol-3.0892081.556545
11lig_11lig_13RelativeHybridTopologyProtocol-0.5446690.372752
12lig_67lig_69RelativeHybridTopologyProtocol-0.6463500.593911
13lig_13lig_36RelativeHybridTopologyProtocol-2.8183660.153809
14lig_13lig_1aRelativeHybridTopologyProtocol2.7367970.317653
15lig_05lig_07RelativeHybridTopologyProtocol0.7181610.284047
16lig_02lig_04RelativeHybridTopologyProtocol0.5025721.895183
17lig_02lig_05RelativeHybridTopologyProtocol-0.9371200.608549
18lig_05lig_06RelativeHybridTopologyProtocol-0.1945214.321454
19lig_74lig_81RelativeHybridTopologyProtocol2.3515670.281969
20lig_11lig_36RelativeHybridTopologyProtocol-4.1276830.386216
21lig_41lig_81RelativeHybridTopologyProtocol-0.8093340.112824
22lig_11lig_1aRelativeHybridTopologyProtocol1.7578970.251879
23lig_41lig_74RelativeHybridTopologyProtocol-3.0557680.200733
24lig_11lig_16RelativeHybridTopologyProtocol0.6233950.398826
25lig_02lig_07RelativeHybridTopologyProtocol-0.1095890.381654
26lig_03lig_05RelativeHybridTopologyProtocol1.9462670.826207
27lig_41lig_69RelativeHybridTopologyProtocol-2.8248960.860073
28lig_16lig_32RelativeHybridTopologyProtocol0.4234090.581679
\n", + "
" + ] + }, + "execution_count": 161, + "metadata": {}, + "output_type": "execute_result" + } + ], + "execution_count": 161 + }, + { + "metadata": {}, + "cell_type": "markdown", + "source": [ + "## Obtain the MLE-derived absolute binding affinities\n", + "\n", + "We can then combine the $\\Delta\\Delta$G results from the two protocols to estimate the absolute binding free energies for each ligand on a single scale using the maximum-likelihood method as implemented in cinnabar.\n", + "\n", + "For more information on the MLE method or cinnabar, see the [documentation](https://cinnabar.readthedocs.io/en/stable/)." + ], + "id": "ee2b35ae85d82020" + }, + { + "metadata": { + "ExecuteTime": { + "end_time": "2026-10-30T10:32:11.101280Z", + "start_time": "2026-10-30T10:32:10.360299Z" + } + }, + "cell_type": "code", + "source": [ + "from cinnabar import FEMap\n", + "\n", + "\n", + "fe_map = FEMap()\n", + "\n", + "# Add each of the relative estimates to the map, converting the values and uncertainties to kcal/mol\n", + "for _, row in results_df.iterrows():\n", + " fe_map.add_relative_calculation(\n", + " labelA=row[\"lig_a\"],\n", + " labelB=row[\"lig_b\"],\n", + " value=row[\"ddg (kcal/mol)\"] * unit.kilocalorie_per_mole,\n", + " uncertainty=row[\"error (kcal/mol)\"] * unit.kilocalorie_per_mole,\n", + " )\n", + "# Run the MLE method\n", + "fe_map.generate_absolute_values()\n", + "\n", + "# Get the absolute binding free energies for each ligand\n", + "abs_df = fe_map.get_absolute_dataframe()\n", + "abs_df" + ], + "id": "58d1c1b26eead798", + "outputs": [ + { + "data": { + "text/plain": [ + " label DG (kcal/mol) uncertainty (kcal/mol) source computational\n", + "0 lig_02 2.658459 0.452070 MLE True\n", + "1 lig_03 -0.189898 0.549595 MLE True\n", + "2 lig_04 2.728132 1.600468 MLE True\n", + "3 lig_05 1.824226 0.454703 MLE True\n", + "4 lig_06 0.618460 3.006083 MLE True\n", + "5 lig_07 2.547510 0.468182 MLE True\n", + "6 lig_11 0.684888 0.625128 MLE True\n", + "7 lig_13 -0.230382 0.655837 MLE True\n", + "8 lig_16 1.428234 0.697404 MLE True\n", + "9 lig_1a 2.467348 0.654343 MLE True\n", + "10 lig_32 2.106799 0.645500 MLE True\n", + "11 lig_36 -3.102689 0.660826 MLE True\n", + "12 lig_41 -1.259775 0.553071 MLE True\n", + "13 lig_45 -0.877777 1.490958 MLE True\n", + "14 lig_67 -1.932184 0.531346 MLE True\n", + "15 lig_69 -3.064832 0.701226 MLE True\n", + "16 lig_74 -4.347508 0.574791 MLE True\n", + "17 lig_81 -2.059012 0.561859 MLE True" + ], + "text/html": [ + "
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labelDG (kcal/mol)uncertainty (kcal/mol)sourcecomputational
0lig_022.6584590.452070MLETrue
1lig_03-0.1898980.549595MLETrue
2lig_042.7281321.600468MLETrue
3lig_051.8242260.454703MLETrue
4lig_060.6184603.006083MLETrue
5lig_072.5475100.468182MLETrue
6lig_110.6848880.625128MLETrue
7lig_13-0.2303820.655837MLETrue
8lig_161.4282340.697404MLETrue
9lig_1a2.4673480.654343MLETrue
10lig_322.1067990.645500MLETrue
11lig_36-3.1026890.660826MLETrue
12lig_41-1.2597750.553071MLETrue
13lig_45-0.8777771.490958MLETrue
14lig_67-1.9321840.531346MLETrue
15lig_69-3.0648320.701226MLETrue
16lig_74-4.3475080.574791MLETrue
17lig_81-2.0590120.561859MLETrue
\n", + "
" + ] + }, + "execution_count": 167, + "metadata": {}, + "output_type": "execute_result" + } + ], + "execution_count": 167 + }, + { + "metadata": {}, + "cell_type": "markdown", + "source": "We can then use `cinnabar` to visualize the mixed-network results and compare the estimates with the experimental values.", + "id": "10cd16eb838cc64c" + }, + { + "metadata": { + "ExecuteTime": { + "end_time": "2026-10-30T11:10:01.251639Z", + "start_time": "2026-10-30T11:09:59.615343Z" + } + }, + "cell_type": "code", + "source": [ + "import json\n", + "from gufe.tokenization import JSON_HANDLER\n", + "from cinnabar import plotting\n", + "import requests\n", + "\n", + "# Load the experimental values from the provided JSON URL\n", + "experimental_data_url = \"https://raw.githubusercontent.com/OpenFreeEnergy/openfe-benchmarks/refs/heads/main/openfe_benchmarks/data/benchmark_systems/scaffold_hopping/bace_baumann/experimental_binding_data.json\"\n", + "\n", + "response = requests.get(experimental_data_url, timeout=30)\n", + "response.raise_for_status()\n", + "experimental_data = json.loads(response.text, cls=JSON_HANDLER.decoder)\n", + "\n", + "# Add the data to FEMap for plotting\n", + "for ligand_name, exp_data in experimental_data.items():\n", + " fe_map.add_experimental_measurement(\n", + " label=ligand_name,\n", + " value=exp_data[\"dg\"],\n", + " uncertainty=0.0 * unit.kilocalorie_per_mole,\n", + " )\n", + "\n", + "# Get the shift value to align the MLE estimates with the experimental values\n", + "exp_data = fe_map.get_absolute_dataframe()\n", + "exp_data = exp_data[exp_data[\"computational\"] == False][\"DG (kcal/mol)\"].values\n", + "\n", + "# Plot the results\n", + "plotting.plot_DGs(\n", + " fe_map,\n", + " source=\"MLE\",\n", + " target_name=\"BACE1\",\n", + " title=\"Mixed Protocol Network\",\n", + " figsize=5,\n", + " shift=exp_data.mean(),\n", + ")" + ], + "id": "4401ca21e5bd73c9", + "outputs": [ + { + "data": { + "text/plain": [ + "
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" + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "execution_count": 177 + }, + { + "metadata": {}, + "cell_type": "markdown", + "source": [ + "# Recap\n", + "\n", + "- **openfe** provides a number of free energy protocols, any number of which can be combined into a single alchemical campaign.\n", + "- The protocols should be configured to use the same force field and settings should be adjusted to ensure consistency between protocols.\n", + "- Each protocol has different requirements for the `ChemicalSystem` compositions used to represent transformation end states; take care to use the correct systems for each protocol.\n", + "- `Transformations` containing any **openfe** protocol can be written to disk for execution using the [openfe quickrun CLI](https://docs.openfree.energy/en/stable/guide/introduction.html#cli-workflow).\n", + "- Analysis of a mixed-protocol network is not currently possible via the CLI; however, results can be gathered and combined using the API, as demonstrated above.\n", + "\n" + ], + "id": "e6e00203a0fb2af9" } ], "metadata": { From d1d2c42a5aa67b9398ff72cc2924d7f4a4808cba Mon Sep 17 00:00:00 2001 From: Josh Horton Date: Fri, 30 Oct 2026 11:45:42 +0000 Subject: [PATCH 3/3] change to svg figures --- mixed_networks/mixed_networks.ipynb | 2459 +-------------------------- 1 file changed, 83 insertions(+), 2376 deletions(-) diff --git a/mixed_networks/mixed_networks.ipynb b/mixed_networks/mixed_networks.ipynb index 9039b1f..431aa20 100644 --- a/mixed_networks/mixed_networks.ipynb +++ b/mixed_networks/mixed_networks.ipynb @@ -41,8 +41,8 @@ { "metadata": { "ExecuteTime": { - "end_time": "2026-10-28T16:18:02.731710Z", - "start_time": "2026-10-28T16:18:02.456708Z" + "end_time": "2026-10-30T11:40:58.537893Z", + "start_time": "2026-10-30T11:40:56.725310Z" } }, "cell_type": "code", @@ -78,33 +78,8 @@ "}" ], "id": "c2ec360a98734f5d", - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "INFO:gufekey.gufe.components.smallmoleculecomponent.SmallMoleculeComponent:Partial charges are present for SmallMoleculeComponent-183ce45f91ea63c1b1a5c2ca71683a2e (name: 'lig_02')\n", - "INFO:gufekey.gufe.components.smallmoleculecomponent.SmallMoleculeComponent:Partial charges are present for SmallMoleculeComponent-3a85837a992c824bb4e0ef1eb4f03b21 (name: 'lig_03')\n", - "INFO:gufekey.gufe.components.smallmoleculecomponent.SmallMoleculeComponent:Partial charges are present for SmallMoleculeComponent-e7b8bc753a9243d52039be2ad197a3b1 (name: 'lig_04')\n", - "INFO:gufekey.gufe.components.smallmoleculecomponent.SmallMoleculeComponent:Partial charges are present for SmallMoleculeComponent-6a2222de00a67b9cddf4402ae67abc46 (name: 'lig_05')\n", - "INFO:gufekey.gufe.components.smallmoleculecomponent.SmallMoleculeComponent:Partial charges are present for SmallMoleculeComponent-b900f42ff3161e6e4b663a908d99d382 (name: 'lig_06')\n", - "INFO:gufekey.gufe.components.smallmoleculecomponent.SmallMoleculeComponent:Partial charges are present for SmallMoleculeComponent-0b73c8a6df07a0beed455c479519b97f (name: 'lig_07')\n", - "INFO:gufekey.gufe.components.smallmoleculecomponent.SmallMoleculeComponent:Partial charges are present for SmallMoleculeComponent-a98f0ca0ad081239d749efbe258e0bf3 (name: 'lig_11')\n", - "INFO:gufekey.gufe.components.smallmoleculecomponent.SmallMoleculeComponent:Partial charges are present for SmallMoleculeComponent-5119445cbe99f49d31eb73b97fc409a4 (name: 'lig_13')\n", - "INFO:gufekey.gufe.components.smallmoleculecomponent.SmallMoleculeComponent:Partial charges are present for SmallMoleculeComponent-2ff86e4d2ac0278821209e3a10b83248 (name: 'lig_16')\n", - "INFO:gufekey.gufe.components.smallmoleculecomponent.SmallMoleculeComponent:Partial charges are present for SmallMoleculeComponent-d8bb71cb61021ff28fa31ae90db5e9af (name: 'lig_1a')\n", - "INFO:gufekey.gufe.components.smallmoleculecomponent.SmallMoleculeComponent:Partial charges are present for SmallMoleculeComponent-73e7964450ae778448e6e7bb6ee9c24e (name: 'lig_32')\n", - "INFO:gufekey.gufe.components.smallmoleculecomponent.SmallMoleculeComponent:Partial charges are present for SmallMoleculeComponent-02f2fb7b039d551f4d79f052220924b1 (name: 'lig_36')\n", - "INFO:gufekey.gufe.components.smallmoleculecomponent.SmallMoleculeComponent:Partial charges are present for SmallMoleculeComponent-bac489de520eadaa7126ee6641163303 (name: 'lig_41')\n", - "INFO:gufekey.gufe.components.smallmoleculecomponent.SmallMoleculeComponent:Partial charges are present for SmallMoleculeComponent-e4c4a874b03c3a3cc36867807030f34f (name: 'lig_45')\n", - "INFO:gufekey.gufe.components.smallmoleculecomponent.SmallMoleculeComponent:Partial charges are present for SmallMoleculeComponent-4931369e87328f26f82811c9afc8e55c (name: 'lig_67')\n", - "INFO:gufekey.gufe.components.smallmoleculecomponent.SmallMoleculeComponent:Partial charges are present for SmallMoleculeComponent-24d9e0a297a1559b9e36e980b8b321ba (name: 'lig_69')\n", - "INFO:gufekey.gufe.components.smallmoleculecomponent.SmallMoleculeComponent:Partial charges are present for SmallMoleculeComponent-17032cd50d866ce3f805801db1cac89a (name: 'lig_74')\n", - "INFO:gufekey.gufe.components.smallmoleculecomponent.SmallMoleculeComponent:Partial charges are present for SmallMoleculeComponent-11a9e1c36f7dbaf234e69ef0d0a99b84 (name: 'lig_81')\n" - ] - } - ], - "execution_count": 132 + "outputs": [], + "execution_count": 1 }, { "metadata": {}, @@ -123,8 +98,8 @@ { "metadata": { "ExecuteTime": { - "end_time": "2026-10-28T16:18:11.911974Z", - "start_time": "2026-10-28T16:18:03.841324Z" + "end_time": "2026-10-30T11:41:11.646049Z", + "start_time": "2026-10-30T11:40:58.540451Z" } }, "cell_type": "code", @@ -151,2301 +126,6 @@ "name": "stderr", "output_type": "stream", "text": [ - 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"INFO:kartograf.atom_mapper:#################################\n", - "INFO:kartograf.atom_mapper:Masking Atoms\n", - "INFO:kartograf.atom_mapper:Build Distance Matrix\n", - "INFO:kartograf.atom_mapper:Calculate Mapping\n", - "INFO:kartograf.atom_mapper:Find Maximal overlapping connected sets of mapped atoms\n", - "INFO:kartograf.atom_mapper:Filtering bond breaks\n", - "INFO:kartograf.atom_mapper:#################################\n", - "INFO:kartograf.atom_mapper:Map Heavy Atoms \n", - "INFO:kartograf.atom_mapper:#################################\n", - "INFO:kartograf.atom_mapper:Masking Atoms\n", - "INFO:kartograf.atom_mapper:Build Distance Matrix\n", - "INFO:kartograf.atom_mapper:Calculate Mapping\n", - "INFO:kartograf.atom_mapper:Find Maximal overlapping connected sets of mapped atoms\n", - "INFO:kartograf.atom_mapper:#################################\n", - "INFO:kartograf.atom_mapper:Map Hydrogen Atoms: \n", - "INFO:kartograf.atom_mapper:#################################\n", - "INFO:kartograf.atom_mapper:Masking Atoms\n", - "INFO:kartograf.atom_mapper:Build Distance Matrix\n", - "INFO:kartograf.atom_mapper:Calculate Mapping\n", - "INFO:kartograf.atom_mapper:Find Maximal overlapping connected sets of mapped atoms\n", - "INFO:kartograf.atom_mapper:Filtering bond breaks\n", - "INFO:kartograf.atom_mapper:#################################\n", - "INFO:kartograf.atom_mapper:Map Heavy Atoms \n", - "INFO:kartograf.atom_mapper:#################################\n", - "INFO:kartograf.atom_mapper:Masking Atoms\n", - "INFO:kartograf.atom_mapper:Build Distance Matrix\n", - "INFO:kartograf.atom_mapper:Calculate Mapping\n", - "INFO:kartograf.atom_mapper:Find Maximal overlapping connected sets of mapped atoms\n", - "INFO:kartograf.atom_mapper:#################################\n", - "INFO:kartograf.atom_mapper:Map Hydrogen Atoms: \n", - "INFO:kartograf.atom_mapper:#################################\n", - "INFO:kartograf.atom_mapper:Masking Atoms\n", - "INFO:kartograf.atom_mapper:Build Distance Matrix\n", - "INFO:kartograf.atom_mapper:Calculate Mapping\n", - "INFO:kartograf.atom_mapper:Find Maximal overlapping connected sets of mapped atoms\n", - "INFO:kartograf.atom_mapper:Filtering bond breaks\n", - "INFO:kartograf.atom_mapper:#################################\n", - "INFO:kartograf.atom_mapper:Map Heavy Atoms \n", - "INFO:kartograf.atom_mapper:#################################\n", - "INFO:kartograf.atom_mapper:Masking Atoms\n", - "INFO:kartograf.atom_mapper:Build Distance Matrix\n", - "INFO:kartograf.atom_mapper:Calculate Mapping\n", - "INFO:kartograf.atom_mapper:Find Maximal overlapping connected sets of mapped atoms\n", - "INFO:kartograf.atom_mapper:#################################\n", - "INFO:kartograf.atom_mapper:Map Hydrogen Atoms: \n", - "INFO:kartograf.atom_mapper:#################################\n", - "INFO:kartograf.atom_mapper:Masking Atoms\n", - "INFO:kartograf.atom_mapper:Build Distance Matrix\n", - "INFO:kartograf.atom_mapper:Calculate Mapping\n", - "INFO:kartograf.atom_mapper:Find Maximal overlapping connected sets of mapped atoms\n", - "INFO:kartograf.atom_mapper:Filtering bond breaks\n", - "INFO:kartograf.atom_mapper:#################################\n", - "INFO:kartograf.atom_mapper:Map Heavy Atoms \n", - "INFO:kartograf.atom_mapper:#################################\n", - "INFO:kartograf.atom_mapper:Masking Atoms\n", - "INFO:kartograf.atom_mapper:Build Distance Matrix\n", - "INFO:kartograf.atom_mapper:Calculate Mapping\n", - "INFO:kartograf.atom_mapper:Find Maximal overlapping connected sets of mapped atoms\n", - "INFO:kartograf.atom_mapper:#################################\n", - "INFO:kartograf.atom_mapper:Map Hydrogen Atoms: \n", - "INFO:kartograf.atom_mapper:#################################\n", - "INFO:kartograf.atom_mapper:Masking Atoms\n", - "INFO:kartograf.atom_mapper:Build Distance Matrix\n", - "INFO:kartograf.atom_mapper:Calculate Mapping\n", - "INFO:kartograf.atom_mapper:Find Maximal overlapping connected sets of mapped atoms\n", - "INFO:kartograf.atom_mapper:Filtering bond breaks\n", - "INFO:kartograf.atom_mapper:#################################\n", - "INFO:kartograf.atom_mapper:Map Heavy Atoms \n", - "INFO:kartograf.atom_mapper:#################################\n", - "INFO:kartograf.atom_mapper:Masking Atoms\n", - "INFO:kartograf.atom_mapper:Build Distance Matrix\n", - "INFO:kartograf.atom_mapper:Calculate Mapping\n", - "INFO:kartograf.atom_mapper:Find Maximal overlapping connected sets of mapped atoms\n", - "INFO:kartograf.atom_mapper:#################################\n", - "INFO:kartograf.atom_mapper:Map Hydrogen Atoms: \n", - "INFO:kartograf.atom_mapper:#################################\n", - "INFO:kartograf.atom_mapper:Masking Atoms\n", - "INFO:kartograf.atom_mapper:Build Distance Matrix\n", - "INFO:kartograf.atom_mapper:Calculate Mapping\n", - "INFO:kartograf.atom_mapper:Find Maximal overlapping connected sets of mapped atoms\n", - "INFO:kartograf.atom_mapper:Filtering bond breaks\n", - "INFO:kartograf.atom_mapper:#################################\n", - "INFO:kartograf.atom_mapper:Map Heavy Atoms \n", - "INFO:kartograf.atom_mapper:#################################\n", - "INFO:kartograf.atom_mapper:Masking Atoms\n", - "INFO:kartograf.atom_mapper:Build Distance Matrix\n", - "INFO:kartograf.atom_mapper:Calculate Mapping\n", - "INFO:kartograf.atom_mapper:Find Maximal overlapping connected sets of mapped atoms\n", - "INFO:kartograf.atom_mapper:#################################\n", - "INFO:kartograf.atom_mapper:Map Hydrogen Atoms: \n", - "INFO:kartograf.atom_mapper:#################################\n", - "INFO:kartograf.atom_mapper:Masking Atoms\n", - "INFO:kartograf.atom_mapper:Build Distance Matrix\n", - "INFO:kartograf.atom_mapper:Calculate Mapping\n", - "INFO:kartograf.atom_mapper:Find Maximal overlapping connected sets of mapped atoms\n", - "INFO:kartograf.atom_mapper:Filtering bond breaks\n", "INFO:root:Trying to remove edge 10-11 with similarity 0.670320\n", "INFO:root:Checking edge deletion on distance-to-actives 0 vs 0\n", "INFO:root:Removed edge 10-11\n", @@ -2470,7 +150,7 @@ ] } ], - "execution_count": 133 + "execution_count": 2 }, { "metadata": {}, @@ -2485,8 +165,8 @@ { "metadata": { "ExecuteTime": { - "end_time": "2026-10-28T16:18:12.026699Z", - "start_time": "2026-10-28T16:18:11.918704Z" + "end_time": "2026-10-30T11:41:11.793622Z", + "start_time": "2026-10-30T11:41:11.648682Z" } }, "cell_type": "code", @@ -2519,13 +199,13 @@ "text/plain": [ "
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" 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" }, "metadata": {}, "output_type": "display_data" } ], - "execution_count": 134 + "execution_count": 3 }, { "metadata": {}, @@ -2543,8 +223,8 @@ { "metadata": { "ExecuteTime": { - "end_time": "2026-10-30T11:30:59.149154Z", - "start_time": "2026-10-30T11:30:58.832652Z" + "end_time": "2026-10-30T11:41:11.836079Z", + "start_time": "2026-10-30T11:41:11.796501Z" } }, "cell_type": "code", @@ -2556,7 +236,7 @@ "outputs": [ { "data": { - "image/png": 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", + "image/png": 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42b6tb0/VwVgsmoub4dVz8fhhbgtWMfwCrBjJ5wtdEX4IzuWS71a5/Eyo1Wq9Xg8Aubm5BoOhEno8ffq0WCw+d+7cyZO2r8uKYcIBI+RH9tu8I8SWeJ26YVDKym6MyTRvklfJTNJC7YO7byczM4ogdLGP8pbOy546Nr1fx5Q2QRnDehZuXq2LfYw7iIR9B3us2xkQ9bjatSfsZq2xf/J3IJtRj8tM1RMAQBEmbqt2toiZyWSOHTuWz+cHBgZOnjz57Ye4bTsBAC7g41wezudjTKagZz/fY3/7RlxhVquRMbyXbP92dGkI6IrwwzAOl/psrwivXr0aExPTvHlziqKaNWtm3uradhISEl6+fOnj41O/fv39+/cPGGDzqvbCvkOk2//Qv4xl1f3K1n0hNkJ39xSN+VG6e3N3x6K1bm4MWkcRjyZwcPppZqWFsWDBgkWLFh09etRZJa/JZFIGvYmifkouKjKlNpEAACRJ5OVwmrV2GPI9w6863cu71P2PXOcuyfz+2xYCjoCGA8BPHiIdSeEcruOkGTaaBMvlcqtXrw4AfD7/7eOUwZC3eI7jD5Mdx/5szEil9HqGX0DxoiPXkOW8zj3yls5T34xy+30lw7+6LWL7XKArwg/BuVzys71HGBwcDAAvX75UqVQxMTG27i4iIkKtVr9580YoFNJotEpYloMLhPzu38ojwmzdEWJTjj9MDpw+f6CvO8blYTSal4DXt3NH70NnaA62L8UCAAAnT57EMCwpKenevXuUuQILAA3DNlZzM//h0XAAwDlcx//+KPr+B26bTgxf//ftAsjwr+a9J2JYw7ruDkKMx+c7CBfU9GE3a23Kz6mcl1OscMd6wHHR6EmA4wz/6sxaQSWW3nJbtfcNv8QKqpcxords//Z/rzi0L+iK8EOwz/YeIUVRMTExXC63cePGKSkpLi4utu4xJCREIpEAQHR0dKNGjbBKqWQoHDJKPLq/89R5qPrdZ81hyEhh/2GaOzck08f5nYyq5AJgb968ycnJycnJadas2fPs7Fr//OrS/v0rTJlMZdwImlkryO+va/r4OGNGKk3gwG7YhJBkZY7qx6pTr9LGe/XxcfIj+7x3h2OM0ieOmuE8vsus3/ldeuUunq2+ftn191XMajXAPP31+hXdk/sUSXIaNeN16v7hdj53aEH9h+hfv8gaP7zazedVHYilSFL79KExOQFjczlNW9I9bDs6Smo1sj1bFOeOk4UFmNBB0LW306Rptl4TLR49gNuhC69NJ8AwRrUaqOjB54tUKlI6NgiIfFT5X2tev35du3btK1eueHh4+L95UfjHsp/i0jZVK1pjMCUlb3Owv+Ok6aLvxlrchfr6lZyQqd57wll16lkp6veiTIR4ZD9u205OP84o6yk6beGujfKjB0SjxvO7fSuZ/B+TXGbe7xfj8mg8vueWg8zAWraMuiqhRPghxrSU9EFdAu8nVlWldoIg6JZ+shuSErJ/GUvKZRRhBJwOJCHo2c929XFIhTxzVN/YlLSgf5p/ZYT6Hq7eYadtt+0ZZTRmTx+vjblVtB8TSYpGT3Qc81OVzDZEKogyEcnNa/qfvUX38qnaSKR7tsj2bKaAovR6jMkCHBONGFvxe5aFW9cqL/zlc+isrQtwF+5Yr7p8zvfIeYzJKteJ2sf38xbNIiRZ1wpVOQbjUBcBAJwuVLFw2jf+Xn6nr+MCoW1CrmLo6/OHYBwOkCSl11VCWUvKRGgf3DUkxuM8Pqd5G4a37+vXrx88eIDjOIfD+fvvv7dt20ajlb4q6F1ErkQ8ZvDRtKxGPFZNNgNAvzdX8c2ZE6RW4758oy3iz10eQuRkzXqTdTbIy/ytYWZi1nk2TTL3Z599J2zRI5Bk9pTRL2PuvZAq+ziZAOCuUld9x8YaacluS/6wSY+ILWE0OsZkfgrztB3H/iT4pr/66t/G7Ey6uxevUzer1DBymjhNHx+XM2+y15YDgJf1vVxehjevZfu3e20/VN4sCACcxs0dBg7P37pOaTJJiaLZpDKC5OAUqdPKju53GjfF2vF+ElAi/BCcywMAUqOh2TgR6l+/kEwbR6pVQBAUhgFQ/K69a4csNxqN6enp3bp1UygUZc+CAFC4eRWp07zSGAJYdAAGADxT69trtOqbkfr4l6zada0bP6lSam5coQwlJ52DiTAmvDJmpDF8rX/XR3X5rP7505cyxYKMQj8WvSGPdVWuoWHgee2S9tE9TpOWZWzHkJSgfXiPMuiZNWpzmrd+3yQIpBLgHJ55OK7K0T28HEaMsXKjOO6+fIP4P/0LNq+2Uc1rykTkLp7tMOw/7AZNLWtBfesaGI0AkKY33lHqACBFbwzmMCm9TnMjEiVCe4RzuQBAajU0sFoZiHcRWZlZ44aHpWe35LMD2QwA2C6RDzh/6lFK2nG6YPLkyadOnerdu3e52tTcjAKCAIBCwiQxEgCgIykAoIxG9Y1ICxKh4c1r1bXLpjwJs1oNXtdv6K7ubz9qTEvBmCzKYACAaebtGwEUJhIAAzrdkJRgi0QoP/EnqdUAYCNcBKFi6eGaRSGROp3ydHhZEiGp1eTO/0Ubc5siKSAIjMPGeAKvDXuZNetYPVqkLDDuZ7xgqSxwHt9jzfbM//Rn1a5ri4kzsgM7SLXKaeI0i1sgtVrzD4UEmaQzAEC+kQQOAAD1CVys28inmwgpitLr9Ww2W6/Xs1jlvsa3DpyGsdi2/ufP3xhKGbTxGkMdNtN85IVG302jrZ34Yuve46zawQ0bNixvm8Vfq88Uqu8pdQCQpDMCABCEqSC/XE1RJiJv8Vx11AXSaASCwFisws1rnKb9SnTuefHiRV9f3w4dOmyPONFCbzBPLVjpXzRDdUB8tvkHnGOT62kiW2z+wZVB6+LAOZCn/CdiSvf0gfpmFMPbl+7lg3O472tBMn38q5g7Ubnyse5CAHiWW/Bamz3sh6G+xy+XyPRI5cC5vE9haNSmGAGBbovW5IT8wvCvVvGJM0SuRBN9nZTL6J7eDL8A6Z4tXpsPYCy2xQ2ygr8yJMQBQCMea6SrEABISgEAgGGsIJtP86kqn24iPHfu3L1797p16/bixQsMw3788ccqCQPncGw9VqONvk4RJgDINRIZehoAaEgKAMBo1NyOYtUOtqBNmqs7IckCgNFuwuZ8NgBMTckDAIzNYVavWa6mCtYuVUdemBiXtrW6GwAoNdolmYWrNyx3c3H18vJKTEyk0WggctT8Ux+Eif9rZhFlJFj1G1nwEj6K7uxanAtHuwmHJ0h8WUW/z5ROX7B+OZGdSRkMNCdnhpcv3duX7unD8PZlePvSvXzpHl662Ef6F08VWt0bXVHZHSlBpuoIUqeVbvvDdUGoLWJGPgzncO2hui+vYzfRiDGSWZN8Dp42pCTq454BBaw6dTlNW5VjXh5FFW5bJz+0G2g4qdPiHC6YTNw2ndiNmlUkNodh/1GeL+WmPsZiG3r2j4mJ8fb2fvToUc+ePZlMZkU6+qR8uonw22+/TUhIcHZ2xjAsPT0dAGJjY/38/MxV2x8+fFi3bl2ObS413oZxeba+Iixu/2+Z5rFaDwDp5ppMJsJUWGhZm8JB30t3bwYoeToGwO/aq+ztmArzFX8doww6c5koACAoSNcTpFabuGJBsxOR9+/fVygUYrHYq2vfatfO+rPoxe/jABYd53AdRo0z32q1OsG3gwxJCSBVAwAdw2Z7O37/RjLMhY9zeS4hy3kdugBFEXk5RFamUZxBZGUYxRn654+N4gwiNwcAcA7bXC1BaSLNl8sSAwEAQBjVNyOFev3Tp09btGiRlZWl0Whq1Khhi5eAlIBxuJ/pyt3ycpo0XffiaVrf9hhFUQYDUBTG4tA8PLw27i/jdjfSPZtlf+6Z/DrjB3fhV1xWvlwRlqecBte1MdGcFm0sDoxZvabzlHnt/1im1xSNkfZy5NE5HMdxUw49jmUymR4eHv7+/tevX+/WrZvFvXxqPt1Z5nPnzqXT6SKRSCAQNGnSBAA2btyYkJBgfnTJkiXm5ds2deTIEZlWt2bpkgcPHtiuF9o/o3CjXIUhPk4hPk51OAwAwNjcsly93b1798KFCwaD4ciRI69evTIfFH3/A7N6jf4ejtVZRctgv3MVeAq4vK7f0JzKsbhe+ygGY9ABQEuS95S6e0rdI3VRKSyOSn7p5PGRI0dOmzZtzpw5PWaHiMb8tC3IzzxXDcNpW4N8BX0GO42bWvbuykXQbyjdxy+Ax6nFYQBAMz57lpejO4/HqteQ1/5rAAAMo7t5sBs2FXzT33HcFLeFq712HvU/H139ziu/k1Hsug3N+/+k6omTBaqTBarbyqKXRmo1hw4dio6OBoCIiIioqCgbvQSkhKqt5ZSTk5Ofn0+SZHx8vK37ogjCmJFKqdWkRkMRBGUykRqVMS1ZPHZQWQaHSYVcuncrpdXGaw0rxVITBXqSeqUxkDpt3oqQCsbmMHRU0NYwv2YtMTYHY3N8Gzetu3FvbLUgqVQaFxfn7e19+/bttm3bVrCXT8qne0UYGlo0NjVy5MjK7z09Pf3HH388f/68gM1S6vS/n7/St2/fJUuW1Ktn5VFyUiHHXdwgP/fdhzCM4nX5+JbWvr6+UVFRKpWqRYsWJ06cCAoKAgCMwfDeE87ZslZx4jAAUISxTd1qDkNHF25epWjQRNh/WBnDo3RaiiQBQE9S8VoDAGjJooWnDBq9b+fODG9vAHB1dQUAGPOjoEcfVdQFY1qK9uFdXsduzr/8WsaOLIEBLhQ1a9pUH/8SYzABw8axWILufV3mLf7w+BLGYDB8/Tmt22ufPQSNvj6XOcvbEQBuKLQxSh0ApPMdnz59ajAYDh06RBBEamqqDV8F8haMw6ukyTIUpb0frbl11aRUsILq83v0oYkcnz17duvWLX9//2rVqsXExIwaNcp2/SvPHjfJpCWPmkiTXCaPCHMcNeHDp2uirwONBgB8Gt5ZyD2Yp+ghKroXTuRKTPm5NBe3ioTHadzce0/420c6AHTo0CEyMvLo0aN8Pj83NzcgIKAiXXxSPt1EWKrZs2c7OjoCwP37923UBUVRu3btmjlzplKpFIlEs2fP1ul069evP3Xq1JkzZwYOHLh06dJataxTYUF9Myp/xXy6lw8zsNZgA+kD5lp/1Gg3oaeA7/rbyrKUW3R0dGQwGGq1mslk4m8tJMeYLOdpvzpPnUvk5eAcLi50AABmYM3sqWNxgZDfpUwDpMzA2uakIqLT/uMmBAAZQd5QaAGAMpneHcOhe/mIRo4HANmh3Zrb18r0t2Cpwk2rTPk5PmFnSLVKH/dcYzReFed069vvRXyCu7u7m9tHPgj4PfpKt5ey3BDjcBtPnNyx/7Dz589/8803AHD+/HmbvADkHZWz3wupVGRNGW1ITKC0GqAo1ZXzhZtXui35o1Wr1gkJCfXq1UtMTMzKyrJ6v3K5nM/na7Vag8Ggi7xQ6j0XSqeT/7mPlElJpYLUaim9jlQrKY2G1GkpjYZUK0mdjtJp3z7lP26CYQmSxrx/ZhTSGaRKWcFE+D5dunSxRbNV7jNLhKtWrWrevDkA9O3bFwDCwsIGDhzI5b53WmB5vXz5cty4cXfv3gWA3r17b9u2zcfHJz8/f/LkyWvWrNm4cWNERMSJEycGDhy4YsWKwMBAizsy5efmrVqovR/tPGWusP8wymjk7lyvCD9IGQmKNLVuGOQyeyGnSYuyNHXt2jUPD49BgwaFh4e3b9++5MM4/nZhF07TVu7LNuT8OgXn8bmt3nnyO1jB9ekensaU5BLHMRZL8O3ADxSp4bZqX7h5FanR4Nb713mb5tZVecQhn30ncB4f5/Hpbh7SzMxvWol27dpVu3btvLy8zp07f7gFuqu7y9zF1ZbN//6faT51OUwvAZ/TsKmw7xAAMGfBt39AbA3n8iit9uPPqxjJtB9Snz3bnpm3yNcZAOJkiotS9ZSQX1b51O0xeKibm9vz58/79Olj3U71ev3y5cunT58eFxd39erVCdVWdawAACAASURBVAr5+55JatSkUoHzBTRnV5zNwQVCjM3BWGyaQIhxOBiLjfP5xrSUnDk/mefxmW+Qr82Scs3fg42GMt5lRP6P+nyMHTs2JibG/HOfPn327dsHAK6urqGhoVqttoKNGwyG0NBQ8zoNT0/PiIgI83GZTObk5NSlS5fHjx9nZGRMmTLF/BwGgzF+/HixWFzunkhScfZEcseGWVPHGHOySzxISAtJraaCr+WjFGePJ7cJ1j59WJYnq67+ndyh/tn6vomNAxIbB8Q38r/YsHr6sJ4mjfrDJ6b2aq2+GWWNeEsyZmUmd2yoOHu8xPHw8PCEhISEhISoqLL2q7kfnT6kR2KzGkktaqR0blS4bxtlIqwd72eAJMkXL17odLrU1NTHjx9XVRgFW9fmLJhu0y60Tx4kta0bVde7q4hr/pWOqO051EWQ2KS6ePwwm3b9119/SSQSiUQyffr07AWzkppUNwfwrz9NAiQzJ368LZMptXfbxMYBDXgs84l9nfhdHLhJLWpJ5k626av4In26k2XeVatWLaGwqNJd3bp1nZ2dmzdvnpeXN3fu3Dp16uzZs4d4ayPmcrlz507Dhg3nzp1rMBhGjhz54sWLQYMGmR+KiYnR6/WRkZFNmzadM2fOzz//HB8fP378eJIkd+7cWb169QkTJuTklHWDFWNGWtbE7wo2rXSbv9xz/R66m0eJJ9BEjpVQzk3Qe6Bo7E+S6eMMKYkffiYhycpb8ZvD8DEtBo2gCR0wGo3l4dXi52k+B059YH2eGbdlO83dG9aLughlMEhmTeJ36Vlib/qYmJj09HSVSvXixYvMzMwytsZp1tr32MXqt18ERD0JiHrsOHqi7WpffcrS09M1Gs22bdvOnz8vEAiqKgzc9rNGtQ+iQa8DgAKj6aZCe1OhfarWAwBQpC72kU27jo2Nffbs2Z07dxwdHfmDhmOlLY/G2Bzh8P9+vC0c91izHefyZngX1fqY7+M43tuF7uzqMneRdcO2C1WdiSvqypUrjRs3Nr+WgICAHTt2EEQ5vtGrVKo5c+aYb63VqFHj3SuJtLS0mJiYOXPmmJdq4Dg+ePDgxMTEuLi4kSNHmk/k8Xhz5syRSqUf6Ig0GqX7tiW1qpO7dJ5JpbTkpb5HSEjIw4dF13aTJk1KTk4u44n5fyxL7dnSmJX5vieY1Kr0YT1zFsywLDDllQtp37az4MTLly/HxsY+f/788OHDCoWixKO5S+elD+1B6io6BoCUcO/evaioqOjo6AULFkil0oKCgnPnzpkfyszMLPtFdkXIjh3I+nGkTbsoWL8isUlAVF3vIA5ziZ/zEj/n8e4OQ10EiY0DkppUo0jSpr3/K5Jt65LaBCU2Dkhs7G++qktqHpi3ZslHTxSLxbGxsRRF3Tl7+vX4EUktaiW1qJXYrEb6oK4mhdz2gX+BPqcrwlJ16dLl4cOH4eHhtWvXTk1NnTBhwldffWUe2PzouefPnw8ODl65ciWO43PmzHn+/Pm7N5b0ev2TJ09CQ0MTEhKmTJnCYDAiIiKCgoLWr18fGhr67NmzwYMHazSalStX+vn5zZ07V6FQvNuRPv6l+D/9FaeOem7c6xqyHOfx332OxQoKCnS6onn/ubm5RuM7BT/fw3nqPG6rDlk/fm8qLK3WDGnKnf8LzuO7hiy3JCyKIvNzCHFGcus6qZ0aSuZNNorTy3hq/fr14+Li/Pz8lEpliTkLqr/PqK6c91izvSK1M4qp1eqDBw+eO3cuMjJy7969ubmlzN21E69evTp+/Difz8/LyxMIBFwuNycn5+DBg+ZHk5KSTp48aesY7t69u2Tj5ifxCRMmTBCLxTbqhVk7GFhcAPBh0Ye7CIa7CLr+M9+S7u370fXseXl5hw8fvnv37sWLF3fs2EGSpMWROE2c5r54HcbmAE4DGo3mIGJWq+UyY/5HTxSLxRcvXrx8+bIUp5/wr1v9TlzA5fteWw4Q+bmlXmUiH/UZJEKtVpuVlUUQRHZ2dqlPwDBs8ODBcXFx4eHhNWrUiIuLGzJkSIMGDSIiIt7XZk5OzqhRo3r37p2ent6oUaOYmJjQ0FA2u5TP1po1i1by+fj4bNiwocS46KZNmzZt2nTnzp3evXsrlcqVK1cGBgauXLlS+88Nf0qnLdi0Ujx6IKdlW9/wy5ymrSr891GK6Ojos2fPnj179n1/RaXDMNeQZcyaQdm/jCVVCtXlc5K5P2f/ODL/j2XG1KT8tUsMiQkeq7djFtSPIEnJjPEv1y3PMZoovd6kkL84fyZtaE/ds0cZGRkfPdv8D8Fisfz8/N5OTsa05LzlIW4LVlpr41Yej1erVq3k5OT4+PjXr18Xf5+wQ0FBQatXr27evHnfvn1nzpxZyUVDlErllClT2rZtuzb6Qd8bj3bu3FmzZs0ZM2bk5eVZtyOKIAzpyaArZT4OzuGKRk/6aAtOTk6enp5JSUldu3al0+lKpfKjp3wAt01HoCifA6eq337JrBXM/3bgx88B+Oqrr+h0en5+foMGDZhMJuA0XOjAadqKJnBQ34isSDx26zNIhGFhYSdPnnz69Gl4ePgHnmYetIyLi9uxY4e3t/fz58+HDBnSunXrd1dDR0RE1KtXLywsjMvlhoaGPnjwoHhw9V0xMTEymaz4+tLf33/Hjh3Pnz8fOXKk0WjcuXNnjRo1Tp06FRYWduvWrQ4dOuTn58+dO7dWrVobNmyQX7+SPqir9t5t733HnSfPsSSjlI1UKs3Nzc3NzdXr9eU7E6e5L1mH0RlpPVrnLp6jvnJeE3NbcWR/+rCeilPhnpv2l3GL1Pv37+/cuVMqlR45cuT06dPy44e09+/sS88dnZhjpCgACEnJ1ahUsT+P3rT+j49m6ydPnmg0mmfPnuVkZQXzOYY3rymCIDUaycyJwgHDeZ17lO81vp9SqfTx8VGr1QqFYtiwYU+ePLFWy1+G6Ojo/v379+/ff/78j1+mWOzixYv169fftGkTjuNTpky5f//+yJEjDQbDunXrqlWrNnfuXKn0nfV2FtHHx4lHD1CdP+Uy8zdvB2GIX9G+u3U4zMkBHty2HYX9hn60EbVa3bJly+zs7BcvXjg7Ozs4OFQkJO2jGJwvYAXVA5LUPXvIbdmuLGctXrzY3d29VatWf/31V/E3dcAwfq9+yrPHKxKP/arqsdmPuHv37qZNmxYuXEhR1Pbt28t4ll6v37Fjh4dH0VSUNm3a3Lhxg6Io8/c488GePXumpqZWJLbnz58PHjwYwzAAcHJy+v333+Vy+ZUrV8x1cPr6uCe2riM7so8ymSrSy0dNnDjx9u3b5p8HDhwYHx9f3hYyRvdPbFLt7XsViY0DklvWUt8q620hvV5///798PDwo0ePrlu3LrFnq8TGAePcHfo68Wd6OSY2DmjOZz9r4BfRoPp3Xb++devWRxskjcb89SuSWtdJblcvuX395DbB6cN6Zv6nH2kwlPfVfagXkoyMjMzMzMzNzb18+XK57i5/8cwjK+afb9y48dNPP506der48eOk9e6iFRQUjB8/3vx+bNiwoflWt0QiycnJefHiRfGbSyAQzJkzx/x91DKkTpu/MTSpZe38jaGkXkdRlCEzLefXKSkdGyS3Dk4f0l1x9kQZ7w4qFIo///wzKSnp+PHj4eHhcnmF7snlr1tqvgevvn01tUfLCt6hNGSmJzULNEpKzkVHPurTTYSkTmvITCvMzkpKStqzZ09sbOyvv/6qUqnK3oJSqVyyZIm5NikANGjQwDzhxdXV9dChQ9aKMzo6uvjOoru7+/r163U6XWhoKA2Dbk0aWauXD6hgItQ+f5LcNvjtFFj8J31Q1zI2kp2dvWPHjuzs7H379q1etfJN0+rmRHiopkczPvtaXR9zIkxsUi3q57EfT2YkmfXTqKTWQf+eVl4ta+oP5XppH6ZPfpM9fUJKxwbJbYIyRvRWRV20YuNfgBKJcOLEidWqVQOAevXqhYeHVzwdhoeHu7i4AACHwwkNDS3+FjJ27Fjz7LPCwsJ79+4Vb0Dm7OwcGhqq0ZR7cZHm4b20fh0zhvfSxcVWMGarSx/cTXnhL4qi8lYvylk4q+INiscNle7bVvF27A1GlWFSSSUjcrLzlodoY25jDCZl1LPqNnT9dRkz0MJiLkqlcuvWrcuWLWOz2Xl5eYMHD96yZUtRSTDruX379vz582/cuBEQEBAfH5+UlBQcHFynTp3i4p+2IxaLRSKRVCrV6XQMBsPT07NcN3hkh3YVbl5NlTLFhgIavfrtuLKM6JpvT3bq1CklJYXH5XrMGAOEcaVY2smBw8KwHTlyGUHuCnTj0XEAHDCgu7qbd4F4+790VzfAcQBQRV7IWzj73ZqTGIfruXYHp4UVihxq7txInTkhX63xptMAQGUitUx2YL9Brr8uq3jjXwaJRHLmzBnzFdubN2/u3bunVquXLVtmXprSunXrpUuXdurUyYKWU1JSJk6cePnyZQDo0KHDzp07i0s1URQ1aNCgv/76i6IokUg0ffr0X375JTY2dv78+devXwcANze36dOnT506tdQ7+iWQCnnBppXKC6ecxk0RjRpnrYUxBEHQ6XRztCaTif7+shIfaSdXkvZNm4BL92lOzhmDujqOm1LxHQqVZ49L9231OxFVjl0sEIBPLhES2eLM73pfysz5WsAy/0tekmt7ejh77TrKCqpvcbNXrlzp1q1bcHDwy5cvrRVqMZVKdfLkSaFQSKfTcRzv1atXRkaGn5+fj49PWeaGVJx540YGg2EwGPLy8m7fvt2rV68zZ87weLxevT5SSk22f3vB1jVgMpXyGI1e/dZzC+ZniscN0z2OMSfC5nz2b+kFF6Tqm/V8BAK+x+aDdBdXU14ukZ9LZKYbxelGcTqRmWHMzsRwnO7uRffxNaYkmjeIKAkDXtfeHis2lTeeEkiFLK132ye5hUfzlSv8XQDgmlz7SK2bHejttmQdr1P3Crb/BTMYDPv371+4cKH5Rm+bNm2WLVvWoUOHMp5OkuTu3btnzJihUqkcHR1DQ0PHjRuHvfWRLZFI/v77bycnp127dp07dw4AnJ2dZ82aNXny5Dt37sybN+/hw4cA4OfnFxISMmbMmA8kIVXkhfyVC5jVarrOX8HwC6jIq35bYmLi7NmzzXNo7969u3///h07dljWlPJMhPzYQZ/DZ4kcSVrvNgGXH5TxlvwHkFpNWrfmnlvD2LbZ++xL9clNlsldOJNUKjdkFvxT2xk2ZElJrVYy92ewNGfv3bvXvG2FyWQiCKJTp04tWpSpelkZ8fn8OnXqZGRk9O7d25x4+Hw+AKhUKiv28gEsFovBYBiNRoPBoNPpHBwcYmJi4uPjzXcrP4xRvSZGK/2bMs3F1bJVCi7TQjA2x4GGszAMAGZ4OXowaTiDwawZzKnfkOHtx27YlN+ll2j0RNeQ5V5bD/mduVE9+pXvySjXkOX8Lt+Q75u9SQGRkWZBPCUoL5wuNfGTWo1037aKt/8FYzKZ48ePf/PmTWhoqKOjY3R0dMeOHbt27fro0ceXosfGxrZq1WrChAkqlWrw4MGvX78eP3489u8LFxaL9f3336ekpJw9ezY6OrpTp04FBQVz584NCAh49OjRrVu3rly50rBhw/T09AkTJtSqVWvnzp2md/4pibwcyYwJect+dZo0w2vHn1bMgtaluXeL07IdAGju3mDVqVvxLAgAOIfL+7onmjJTXp9WIjTJpLrYxxT57ocUZSos0CfEWdYsSZLm9QwqlYpOp0dHR9+/f99gMFQs2P+Ty+UCgeDtidSVnAjf7tHX17ewsNBgMIwYMWLbtg99rFMmQnHySN6yXwGglIEUGs1xzMdnk5eKWTuI06z1j9U9GrmIAEDEpF9sUovv6KR79jC5VZ30vh2zfvw+b+k86b6tqktndS+emgoLMCaT4e3HadFGOGD4B4bBae/U4rGA/uVTc659oNLPTsufnZa/L7eo8KMx5U3F2//ime/hpaWlhYaGOjg4REZGNmvW7Ntvv3327Fmpz9fpdAsXLmzWrNn9+/e9vLxOnjwZHh5ealV0oVC4b9++4cOHA0Dr1q2vXr165cqVZs2amQtImde6xMTEhIeH16pVKyUlZcKECeaFUkUjWxSlOHkkY8DXGJ3ud/KqcMBwW4wQJiYmrl27du3atUeOHLG8FZLU3o/mtmoHANp7t7itynpV/VGCbwepLp2lSlsigrzPp1V0m8jKxFgsymAAgJ9TihaQyQgTAGA4bsxIZ9Wua0GzzZs3Nw+zmDMTn8+XSqUqlcrJyQpfwQDAwcEhPj5+woT/75zCYDCYTKbBYNDr9axKWeJa/KKSkpIUCkWDBg1u374d7OOt+vs0RRCs4K9KbG2ojYnOX7uYVKucJvzCadxC/MNgUq2i/vlygNHp/B59HAZ+b1kwhZtXG9OSfI5d1ty+aoiPwwUO3LYdOU1bUQZ98R65hDhTH/dcfeWCMSuDVCowNqd4+3iGq7ueyaIMJZeCYFyusPcAy0L6dzs8c53tRjzWbz5OAHBboX2pNQAAML6cTbdtzTyZ84cffli9evWmTZvOnTt34cKFgQMHLlu27P9z+gFu3749bty4169fYxg2fvz4NWvWfKCE28OHD3Ecz8rKKk6TXbp06dKlS2Rk5OzZs588eTJhwoQVK1bMmzcvNjY2LCxsyZIlL1++HDJkSPPmzTfMnOZ7PpyQZLktWcfraMM9Yx0dHc1DSnw+//Hjx5Y1on/9ktLp2F81AdKkvX9HONhqm81xGjeniZzU16/we1i5bviXrCpn6rzDkJme3CYosXFAEIcZ36houmAtDjOxcUBy+/qah3ctazY5OTkuLg4A6HQ6RVE+Pj4AkJ6ebtXYSzJn2fz8fJv2UqxOnToAEBcXZ/5fk0adPeenpFa1k9vVS25XN6lNUOaYQUR+LkVR2udPxD8MSe7YULpvG6nXFz1fLsvfsjqtf+eU7s3F44aqbkRSFEXq9blL532gBlup1DejkloH6V6/LPspJoVc9/qFKuqiNGxnXuiCrJ9HJ7Wsndj0XyWJk1rVEf8w1CoVsFTXryS3rXuitudgZ7658V2B7hM9HJKaBWbP+ani7duh3NzcOXPmmCewMBiMkSNHJicny2SyKVOmmMsQ1qtX7+5dC9+/ZiRJmgtImT+4goODw8PDdTrdjh07vLy8cICH7b7KWDLPpP5ILfgKevPmTf/+/c0/37lzZ/z48Za1U7h7U9aUMZR52nab4OJ3olUU7lifObKP9NBu2ZH9utcvrNjyl+rTuiJkePviIidSW1p1JYqy+Pavedo3i8XS6/U6na5yxi35fH5hYaFKpXJ2drZpR8XdQfGLoijJlDGP78ckK9XfOPIA4IFKp8m/8/X3fdl1v1Lfvekw7D8e63bhAmHx6bjQgTlygrzHgOrVq1+/fr12zdpcE5E9dQzNQVSujc2IbHHu7zNd5y5m1Q4u+1m4QMiqXffty31SrcpbNEtz6zowGQAYqVJwmrbwWL3dKiNdvHad6V4+LJnSmVF0c5SLYyIajrFYzpNmVLx9O2TeBGbixImLFy8OCwsLCwsLDw/ncDgymYzFYoWEhMyZM6eC1WrMBaT69+9/8ODBxYsXm1d3NGvWbMOGDW/evGncuHG76OfnF633sc22X1anjbltLg2hvXeL07x1RaptGI1G87cNgiBYLBaRlan6+7QhLUX/Jh7DMKDhrKAGHmu24kKR1aL/4nxaiRAA3BaszJ42rq2QU/yJ107Ixjgcl1kLMGaFxhj5fL5er1epVJWTCHk8HgCo1SXXANjI2y9Kfeuq/tULiVrzSmswJ8J0PSE3kR3zJIYcV7+TV+nupdxpS01NvXXrlkgk8vLyEgqFGI0uGjGG26ZD2Sedm/eF4HXuLvh2UAVfDs7ju6/aRuTl6OOeA4apr/5NGY1WqS8KAIDjXtsOwY8jg8QZ5q1ZW7o5tcJpHmu2MfyrWacLuxQQELB3794FCxasWLFiz549LBarcePGYWFhwcHl+Fb0YXQ6fcyYMSNHjty3b9+iRYsePHig1+u5XG7NmjXj4+Mr4a58YGDgsWPHXr9+nZ6eHhgYuGXLlrKfS6pVskO7VJfOmuRyUiHlte0EFKW5e5PfzfJVExRFrVixYuDAgebtAX6ZOEHx34FEYT4AUAa9eXqhLvaReMJ3vofPFL+XTXKp/PBeza1IUqdj1qnn+P04Vt2vLI7hC/BpTZYBAE7zNi6zF80NcKXzBBiLhfMFITW8naf/Jvh2cAVbNmemSkuElTxf5u3uVJfOkFo1AKYnKRlByghSS1IAQFEUGPSlZkEAqF+/Po1Gy8jIMBqNYWFhAMBt1xlwGmUwSGb/qLl19aMx5K9ZRBFGl1m/W+tF0V3deR268Np/LRo1Xn31YunFwS1Cc3Lx/fO826I1ACDo0stlWoj/hWhO8zbWat+emTeBadGiRU5OzqpVq6yYBYvp9fqLFy++fv366NGjHTt2hEp8u2EYxmAwtm3b1r1793PnzpV9ESGRk50x8OsXO7fo01JIWSFhIhO2rJNMGa2Oe26q/94Sj2WJx1zQo1evXkKh0HD6mEmlgH+XAqeMBkNakixst3kGjeHN64x+nWVhuzTxrxWpKeor57PGD5Put+v50uW7IiwsLBw+fPjJkyePHj2qUqmmTp6sOHFYdmiPMVtM43LZLds5T57N8ParYEz6F0+4rToKB31H5GTTnJw5zdvgXF4F24R/3ipqtbo4I1a8zY92VyWJ0JRfNM/orlKnNBUCQJqeMJfYN8ll72vh2bNnOTk5vXv3vnfvXqNG/x+F1ifE4SwW52NVEFWXzqounvY5dMZq121vYVavya7XUPHXUcexP1utURxnBdbCcNx1+QaM9skNjXy+bt68+fr1a/OsbLVavWLFijVr1ixcuHDy5MnW6uLAgQNdu3blcDhDhxZVB620ARgiW6x98oCZnQHlfHdnTx9nKizo/SxllrfjCBdBhoHYkJq/nv4gv2ufB0+eDasdRHvPKqaPevjwoZubW0REhLOzc8Gl06xSVx/p9QVbVhdsDKW7uZukUoowhmYWJmgNIjpeSJAr/Jyp3ZvYwV/Z7XfB8r3/Dx482KdPHx6PN2zYsP379mZNHh0fc8fVRHBwzKRUxJ4/U+32Nd9thyqylpPIylSeO+lz4C9mrSCLGylVcaoozojWbf993dm0l2JvfxAwqtXQPo4BgI4OnJlejgBwokAlN5EAwPD2eV8LDRo0aNCgAQCUKEHOrteQXa8hAABpogii1AFqY1py3rJf3RauZvhXt95r+hfhkFEFfywTjZ5oxaRlFGfQPbxQFrSuBw8ezJgxw7x0R61W6/X6wsLCgoICK3bB4/GuXbvWqVOnoKCiT4lKeLtRel3u4jnqa5cwOoNKzwUAydEDxA9j3zfE8jb9q+dEegplMvmz6GcL1d0cim5kylTqs4fCFD1UTZo0Mc93s8Avv/xS/HPaxSPv252c06CJ29L18ohDisN7omRqhYncW8MdAO4odSvF0vVMeuH2P7ztNRGWb2jUx8cnNjY2NjZ26tSpgTmZumePNqTkpOqLqnMtTc/PVygl036gKrBEr3D7Ol7n7lbPgvBOIvyC7xEK+w7BS7ssw7hch8GjLO4if+0S2f7t7x4ntRrJzInC/sN5X/e0uPGP4nXuDhSluVlyL5GKILIy6F6+VmwQAQB/f/9Tp04V/0La4o0wevTonTt3FmdBqJREmD193NPzZ09mF5BqFddEAMDLTLF4dD9S/bFOSVLz4I65hgMNw6Z6ilaIC82PiOj4UFfhhGFDLc6CJTD8Sr/JjeE0RmAdursnKZeRBv1Dlf5rB475odYC9iutAQAMCa8uXLhw/vz5jIyMo0ePlm9Pt89c+b4LDxo06Ntvv6XRaKtXrxYP6kJpNe8+hzIaNLevWrZXjjEtRXXlvO+RCxac+1GVnAircGiUFVRfOPC7On8ecKIXfdFpxGMZGUxOo+YVKWYoGjWB5uQCFKU8d0J2cKcxKwNnsjjN21AEgfP4Tj/PssoLeR+MRhf0GyqPCLNiCTSjOIPhjRKhlQ0aNCgnJ6dp06a3b9+2USIEgBLLc239vVNz75b+2eNcjfalxtDfCbg0HADyDIRJLpcd3Ok0aToAkColkZNNZGUSOVmEJJvIyTJmi4mcbFOuhCIIDIqm/7UUsI/lKx8oiwYwhTTMv54ly6NLJRz4ne5JDEWUrElCkSblycPamJuUwQgAGAD5bp0uDFq1arV37962bds6Ozs/efLE09PTWoF94so9KGT+/RPxeFKl3Pw3uVosFdJwAIjXGgCAVKsNifGWJcLCrav5PfsxAgItOPejvuzJMiU+CJynhXzlX61wyxpSpwUMq8HhOnw/1nHclIosP6C7ewJF5cz5UX3nOqXVAYBJp1NdvQgU5bFqO8ZgWOWFfIDDwBGyfVuNqUnW+g0hsjKYtaw/lQNxd3cv/v03Lx/6HN9u2dnZKpWqZs2aL168YJ45QdNqAEBPUlLCRFEUABgooPQ62aE96muXiGwxqVFjTBbd04vu7kV396T7+LObtKR7eNHdPcFkyhzVD/RFyW+ej9N3CZK6XCYA4DwhzcnFKgEbM9KkuzbgfBGl05BvVZbBOBzRqAmC7n2MGSnKKxc0kRea8DWRcq153sBdpc4cCatew9TU1Nq1a3O5XE9Pz7KUzftiWHh3BKPTqH8+Uqd6impzmAAwMTkXADA6HbNoKY8hMV59M8r3+BXLQvqoEpNlvrB7hO92JxwwQjhgBJGTDSRJd/ewSul9xamjmjs3zVmwCEkBQN7SOdzW7TE2p+JdfADNxY3XoYs84pC1JqYaxZmoxLaNFL/LPt87EeHh4Ww2293dff/+/Z3SE81jl4/U+tVZsmwDAQDmTacBA6dJ0+nuXnQPzw+kNF6bDuro6zwcAwA3Bm2km+CVxoDR6KRGbLwuAwAAIABJREFUqTh1TNh3SAXXyGru3MgJmcrv0stl1kLFqaPS3ZtJhZSigOHh5Tx5Dq9LLwBg+FfjtGyf8eheZ73+nlL3Q1KOiEbLJ0yh/s44m+Mw/pdj16/7+PgkJiY+efLEPB3XTlg6TQCnsYMb6J4/BgAmjrFxDKDoyp8iCEqrA9JU3k/egk2rhP2GVXzS6fvY9KbFu8y9ZGdnHzx4cMiQIWXZNcYCKpUqIiKiVatW75sKS3e35uCGbP92stTxcIJQX7vE79nPin2VSjhklGT6eKefZ+EcK6ybNorRPUJb+dwHYI4ePWo0GrOyslauXOnk5JSTL6xDowFAawF7vo/TfZXulkJrICkAYPpXL8vXKdfF60xTxhyi0UmNGgBGuTtiTKZo5Dh2/YZ5y35VnjvhtmCVhfXBKUp2YEfhro0us34X9hsKAA5DRjkMGUWqVYDjJd4pGJ3uufVQ1rih81ksg1ajJSkBg4ExGU4zfuM1ajatUTPz096+/2oPLF9H6DxjPsZkezJprH++yHgz6QwWi1UzSHn2ePrg7spzJ6GU8tml07+M1T64IxptYZXnsihxj1ChUJw6dYqiqCtXrshk711UYDHzB0FsbOzXX38dHh5u9fbNIiIidDodjUarnKmwhLj0XaVIjVofb2FJ9HLhNGlJd/dUXTxd8aZIjZpUyNA9Qhv53FcrDRs2bObMme3bt1+2bNnQoUObjRiF0f8/+M/FcQAwUhTO5TkMLdMENJzD9dp5xH3FRkHvgdyW7RxG/Nfn4CmnidO4bTr5HrvErFYjY3gv2f7tJZYAfhSp0eTM/Ul+7IDXjj/NWfD/PfL4pX5fZPgF+J665vTzbEHzNq4NGjsMGen75wWHAcPL1e8XxvKJ4+x6Dd2Xrpv9+wwgSVKnAwxfXseX9VVTjzXbMDpDefZ4waaVsoM7HMdP5X/d86NX/QWbVjoMGVmWicgWKzFWo1AoEhMTAUAmk2VnZxdvZF9BcrmczWazWCxzLx4eHqdOnXJwcLBK4+/CMKxv375Hjx6tUaMGAEgkEht1VITBhHdqYQMAhtPwyiptJRz0nSxsJ0UYKZ2OGViL06ItZtHOqERmOsZiW+v2DFLCl7Fa6ZtvvgGAwMBACAwsTHpVc992Do4BgPm/DBxn1Wsg6D2wjK2dv3BBLpe3GTM5Ojp6xIgRxcdxgdA1ZDmvU/e8Zb+qb0a5/b6yjMuQjBlpkhnjcb7Q59AZmnM5NhvHOVyH4aMdho8u+ylftgpVluF17uF37rbztPnCgcMdx/zoufmA15YDOIeLMRjCAcP9T18X9h+Wv3KBePQAdWmz3imCILIyTXKp7skD/cunolET3n2OFZV4Z+p0OoFAgGGYu7u7tbo4d+5c/fr1Q0NDi7tTKpUCgWDgwLK+Vcpr2LBhUVFRNWvWnDlzpru7+61bt8q4OZxlWEF1/xkCfxsFLDanuRU2jv8oyqDX3r9jFGcUrF9RuHl1zrwp6b3b6F89t6ApY1YGw8sHbeRtI1/eaiWnSdPqLljR1M8HY7H5XA4AkByu56YDgJf1U7RTp045OTleXl5vb9lWjNu6g2/4JWZgzYwRvWX7t5cYTiM1aiIv5+3rRU309cxRfdkNmnjt+LNcWRB5V0WXEtMcHIWDviv1IYzNcRj+X0HfoYrwg7kLpjOr13L6aQanSUsAINWqgrVLlX+fApwGJgLDcd7XPWlOti1OXeKmhclk0mq1T58+TU1NVSqVFRwTz87Onjx58okTJwDg+vXrv/32W15eHgCkpaX16dOHw7HVLBKj0Xj//v2tW7eSJOnh4cHn882bww0aNGjRokVWHOinTIQ8bLf+1QuMhlP/3goVY7LZdeqyGza1Vl9vMw/8Yhgml8udnZ1z5v6cffvGL/FZawNcHOm0x7n5qXrjwPEjfI9dpHu9t1ZAqdANQpv6IlcrCXoPEPQeQOTlCAsLoU6whoJyjUbEx8fXqFGD8f751TiP7xqyXNCrf+7i2errl11/X8WsVkP78G7+yoXG9BTzxGzhoO+dJk2TH9n/9k3B8iKyxaRSQffxr7SBnE9d5WxyYZJLC7b/kdy2rnjSd5pH99P6dUxqWevtTXaSW9VRXj5v0xgiIiIAYODAgdZtliTJAwcOmOeIc7nc0NBQlUr1+++/M5lMoVAI/2zbJpfLrdsvRVHnz5/38/MDADqdPmXKFJVKlZ+fP2fOHHPexXF88ODBCQkJFe9I9/pFxojeaX07aO5Hq65fSW4bnNymTmLjgMTG1RKbVBOPHmBSKireS6nWrFkTExOzatWq1atXx1+6kNwm+G59X28mfZAzP7FxwI5AtymeoqRmNSTzppS1RZJURV2UzJyQ0rVJ+oCvNQ/v2ShyO2celmjYsKE5OXG5XJt2l5mZCQBeXl427aWY0WgEABqNVq6zdu3aFR4enpKSsnv37rS0tA88k9Rq8jeGJrUOyp45Mbl10L8/KmundPwqtXsL7fMnFkSuvhWV2rNVcuug5Pb1k1rUksyeREgLU1NT//zzz5SUFIqitmzZUuIU82eX0Wi0xYfYJwKjqHfXVdqKSVooO7RLdnAXAPnuek6cy/W/eA/nv3fTzgq6cvrUuh/HPyaw/fv39+xpnRooycnJEyZMiIyMBIBevXpt27YtNTV13LhxCQkJOI6bVxbfuHEDANzc3ObNmzdx4kSrTB/Nzc39H3vnGRfF0Qbw2euFevQmCCIgiAoCAmLFjj2gJiGmQoyKxoYliiW+orGbGLBExRrsYhcVLCCCIM2C3NF7vV539/2w5kIQEI47UNz/Lx8ud7szz+LNPTNPXbZsGVYae+DAgYcOHaLRaMnJyd9//z0AoKamZseOHXv27JFIJGQyefbs2Rs2bMB6UXUUVCKuP7iXe+qI7uffsEIXY/XVYG6D4PZV2atcApPBv3nVcOnazuTpt01GRoZcLs/Pzy8qKnKpKXV+dKtaIltbXMcgQnMMtXkwkiuShZnpEbS0eydmtedxKubPleTloiIRAABAgEBlMMdMMl4X2X4DF057yMvLc3BwwJpCYH1AFQoFQWN/ZC6Xq6enp6Ojw+VyNTRFM2g0mlQqFYvFGgoIBwCIHt+vWPQdePcnmkDQ/yqEtTC8owMKrl8o2rQ6sbphnB4DANCoQLKl8Eg7a4MjFxJT0yAIkslkT548wZw7GOXl5enp6WVlZXV1dQqFYv78+V3TV66L6dLFT9RnGSwMJ9AZLVU1ACggtOhKVAvChDt9o7au7m9fU109ceLEoUOHJiQkdGZAhUKxZ88eV1fX+Ph4Y2PjY8eOnTp1aseOHSNHjszLy7O3t7979+7ff/+dkJDw8OHD4cOHV1dX//zzz/b29nv27JFKW4g3aT9nz551dnY+fvw4dgBNTk6Oj493d3efN29eRkYG+Kc53OvXr7GuocePH3d0dAwNDe1ozSRRUmJx4Fhx8kOLI+cMFoYrq4wSdfV1A4ON1kYaLFmnO3su9+zxzjxO26SmpmZmZvbu3ZtAILjqaCmtsistWJFlDYp/vkeIUFCzZW1jzAFB/A3pi2yY29DiaNUbV0peZr3VggAAFCASkTD+WsPxg5p7hE8Tpa0SgiDsOKhRB57SR3j69GlsY6ohLly4sGbNGrlc3gXGWEVVJURtyauCILxrFzs6GsLj1vzvF75QdLr2rYeySq64WNMI19c2Ru9ycXEpKSlJSkpqaGjAjtcY5ubm2L+gqampXC4vK2upWezHT1fvglGppGnJg/98JBYqSgrVPiNcX1u9bkl1xFK9r0K8Lt2Nio42NTV9/PjxyJEjhw4d+uDBg/eOkJ6efuDAgRs3bijfef78ube39+LFi4VCYWBgYG5urr6+fv/+/ffu3UskEsPDw7Ozs5XpqJjSvXPnzuDBg0tLSxcvXuzg4HDgwAGForXquK1SUFAwbty4oKCg2tra4cOHP3/+3M/Pz93dfeXKlTKZbM6cOdbW1sqLe/XqFR0dnZeXFxISAsPwgQMH7O3tFy1aVF1d/d6JEB63ZvPqyuXzdGd+YXniMtXRpbUrdabPkeZmyd686uiztJOQkJAffvjB29s7PDxcz9mF8I+31ZhMDNBnnqp5u6QJOroQmSx5ntpwaG956JzCUW4Fw/qXzJlYuTS0buev3DPHRA/viVOThAk30Xd2IYhY1Hj493am+qAyaf3BPYXjh7AH2xYMd61et0RRreFI3Y+TpnpC+TolJeXOHY1UzCCRSDQaDYbhJ0+evHqlqW8jAGDGjBk2NjZkMrkLFKGMk4dKWkjbBQCFa2s6OprwwV1AaCE0DJXJ2FcuPHjwYOLEidu2bZs3b56l5b/u9pKSkrq6OhRF+/Tpo6Wl1WPzC7vaFosgbK//eAeV/7G9HRr/PqbeuXhx5wtGDipf9K28slz5tkAgiIyM1NfXx/4C/v7+z549a3ukQ4cOicViFEVFIlF4eDjWMKV37963bt2qqKgIDg7GhvLx8cnNzW1dHOTKlStYhwcAgKOj47FjxxQKRXseBYbh6OhobO3p6+tHR0cLBAKlJH369Ll7924bt+fm5gYGBkIQBADQ0tIKDw9vbGxs7WL+nWsFo93KF8yVl5e2R7bKNYurN69uz5WdRFFfx/F1Su5v5a/LyHezeT3I2olOCTPTY/s6NZw8/J8rG+olOZn821cbjvxZvXl1+U/BRdNGsD3sWvzi5bvZcPycZYXs9woAi4TFs8ZfH2j7apA1duMV514FwwdI2WpwxPYwsH0egUBAEATL7cnLy1MoFFFRUWqcRSaTpaenY68NDQ0BAH/99deGDRvUOEUzEhISsDWO+Rpu376tubnqD//O9rRv+Rs71LnDox3Yk+/WO7m/lQGJOEaPMUaP4a1Nm8Ji5rvZsD3tYZGw6cWSVzmVK+YVjPMqGOdVsWqhNP+1+h7rQ6TLFSGKli/6lj3YtqV/3d5V65Yq6mrUMoustKhs3hcFYzx4cedbvIDH40VGRmIZfhAEBQQEZGZmtnilVCo9fPgwiqIJCQl9+/bFlndISAiPx2sWJtMerQbDcGxsrL29PaYOnZ2dY2NjEQRp45bMzExPT0/s+sDAwOrq6qZhMuHh4ZiSfi+ZmZmBgW/7GxsYGERGRgqF//n2y6sqKpaEcEYM4J4/9e7tJSUlV69eFYvFR48ebarvxZnPOEP7aS5epim8i2dyvRz+7muGfWfinS1uDrIt+y4IUcjfey//9lXOUJdWdGHvgvFeZSFzqtYvrz+4l3ftovh5qry6stkINZHr2N6O3tq0p65W2I0OdEq+e++iaSPQNv8FP02woC2hUIht/jIyMlAUVaMiTE9Pd3Nz09XVLS0tRVEUM4dER0c/evRIXVO8S0lJCWaYAQCwWCwKhRISElJeXv7+OzuOOCON7dnS7s3dtiJ8fkdH4547yfZxSu5vNVSHjo1zzcn8rSL06tv0C8y9/HeWp8PzgW+nez7IJnuIA/9WnFof7sOiGwIEDJeug2j0ZvlbEJ3OHDNJUV1ZPHV43b6tCJ+n8vgorOCePlI6ewLJ0Njq7C3tgBktXoYFc7LZ7PDwcBqNdvXq1UGDBgUFBWFZ9s2YOHFiaGgo5v9zdXVNTk5esWLF9OnT586dW1dXN3HixJcvXyrPZ22DBXPm5uYeO3bM1tY2Nzc3KCjI29s7Li7u3YslEsn69es9PDyePn1qbm5+8eLFffv2LV26dNKkScXFxYMGDUpJSYmMjGynu97V1TU2NhYzC9fV1a1cudLGxmbr1q0SiQQgCO/C6ZKZ/hCJ1OvCPZ2WykxgvzhlZWUlJSVNHeY0VzeytR3/6oX2yNApEERw76aB30gf90GASIJIZDtjQ48fw8yiTranpyC1nysKt2yOhihUozVbtMYGEFkGsvzX3DNHKpeEFI0fwvF2LPlsTEXYt7VbIxpionkXT6PSd7qeoihcWyPJzuj88/UwlMbDvn37uru7QxCUmZlJIpHE4padI+1HKBQuXrzYw8MjPT3dyMiourq6srIS80HW1NQMGTJEDdK3BAzD586dc3FxuXXrlr6+vrOzs0KhwJwOK1euVG/PReGDu1Ur5xN19CDKf1c3BBHoDMOwlQBFa35dBdfXtnNAxtBRUEuhkRCRxPAdqfxBlnHe1G6NiKusvVD39kf4eBU3vqq+ZuMKeSuFpXoC3aJ+xdkZ+R52bG9Hjo8Tx68/29uxds8WFIZRFBVnpJZ9H8QZMbAuahcs4Hd0ZOnrFyVfTi6aMlz0pAO7wqqqqvDwcKyxBplMDg4O5nA4TS8YNWoUAIBOp2/ZskUsFu/evRtzzpuYmBw7pro5VyqVRkdHK3ud+Pr63r9/X/npgwcPsC5lygNobGwsZv9p/wG0NW7evOnh8bau4DA7m8LPAwoDhgqTEtu+KyoqSqFQiESiLVu2NH2fe/FM0YzRmj4V1R/cWzjBW9FQj6IoIpW0/wzK5/NlMhmbzU77OpDt1dzWxPFxqv1927t3wUKBNO+l4P7txpOHa7atL/vx83z33vluNt7atNG6jPF6zPF6TG0iId/NhuPb7+GOyKNHj6anp+/evfvdAPRPE8x4yGa/3+bcIW7cuGFjYwP+yRri8/mHDx/GPB3YEnZwcDhz5gwMw+qdNysry8vLC1syAQEB2DH0XadDQ0NDJyeSV1dWLPuRM9yVe/4UIpNVbwxneztyhvZjeztw/FwKJnhLXuWgKIqIRXV/bMd+NiWvcuWVFe8due6P7ZlDHFZbsrBv/uP+VputDTl+/Zs6QarXr8j3sN3cy2Cd1dvLlprr7+ptlO/Rp2bHpk4+2gdL9yjCxlN/FU0fKUxN4l44zb95RVFX2+wC0ZNHJV9MLhg1qOHIn4ikud1PVlwoSLgjzkhFpBLlm4hEXLs3kj3EoWbb+mb27nZSVFQUEhJCIpEAAJjFo6Li7XcrOTl59OjReXl5GRkZ7u7u2GIIDAysqVGDIVcoFO7evdvY2Bgb1t/f/969e2FhYVisuYuLS3JyMofDGTNmDHbB+PHjCwsLOz8viqJ37tzp16/fcFvryzMnvPePVlBQ8Mcff2RnZx89evT58+dNP0IkYs6IgaIUDZqkRKlJ7CEO4udpHb2xsrJywYIFIpHozp07KxYvLv5sDMe3379a0LdfRdjXiPz9llVFXS17iAOmCJP7W70eZP16kLUDnYK5GPk3r/z2228pKSmrV6/+7rvvVHrEHgWikO8ZO6yvifGoUaOafVtUpr6+PiQkBFsFAwYMePr0KZvN9vf3V66LP/74A3NegPY5HdqJTCaLjIykUCgAAHNz8/Pnz9fV1YWGhpaUlGAXZGVlKZ0OLBYrIiKCx1PJU4Ag3POnOH4ulSt+avqrKC8v5V2ObTx5WJTyCIXf2f4iSMmcSYL7t7DXTd0EiEwmzs4QPX2M2flrd24uX/g129uJ49ef49ePPdS5aMboZv6/4pn++W42m3sZDNGmfWOs842xjrsWdVdvo3w3m5Ivp6jyUB8D3aAIYZGwYIwH//bV91yHIILE+OJZ4wsnDGk89RcilaIoKistKvliMsfHiTPclTOsP2dov8a/Y1AUFT1LKZo+smTOREluVifF43A4ISEhmJGTyWSGh4fX19ej74TJqN1JzuVyIyIisBx8bMlRqdRNmzaJRKLdu3c3DZNR77xpaWkAgIEDB3ZynNodmyqW/dj0ndjY2KysLBRFz50718m8fkVtdcFYT5VjqTC/FIfDuXXrFiKTcWNjOMP6c0a7lYXO4d+53v6DbOGUYZgi/I+P0M2G4+2Yk/QoPT39xIkTeXl569evV03OHgNWgYEzaagbSxcAQCQSg4OD8/Pz23l7i9orNjbWyMgIM8xERERg6wIzzLBYLOW6wHzwtrZva3V6enpeuXKlM8/y8OFDLFQSgqCQkBAul3vmzBmsLuNnn33W9MqkpKTRo0dj82IpTO103mPIigrKfphdOM5LcO9ms48EAsGGDRukUunBgwdv3mz+KSKVNJ76C/saC+KvVyyfh73fcOYox8+ZM8yVM6w/29uhOGgcx7efNP81LOALH93j37kmeZn9rhgls8djijDMTO++s+V9Z8vvTXQxRVg8Z1L7H+fjohsUYcOR/cVB49B2Gi5gmH/nWtHU4YWTfBuORhWMHMAebBtlZ/y9ie4KC/1UVyuOj2PJ5wEc334Nxw+2sFdSlczMzClTpmDfaT09va+//lppjVm+fHmzGBM1UltbGxwcTKPRjIyMXr58mZWV5ebmhonx5ZdfdvIAqlAosL15cnLyzZs3p02btnz58tevXwMA7O3tOym5rLiQ7dmnqY0FC67Jy8vbuXNnYuJ7jK5tgCjkpd8FVnY8OgCDy+UuWLAgNzf3r7/+Uv7CFk0eJnx0v6NDCR/dY/s4zTbUfjagF6YIJ+gzOT5ONVsj+Hx+UlISDMNPnz7tvHHs4wWRiOuidrG9HWu2rYeFwurqaswH35rT4V3kcnlMTMzWrVuV75SWlk6b9rbD17Bhw169evX8+XOlYR8LH2s2COZ0MDc3x67x8fG5d+9eR5+lsbFRaZixt7e/f/9+eXn5jBlvYw6GDh368uXLd+96+PDhsGHDsGusrKx2794tkUjevawpiFzecORP9hCH6l9XwUJBi9ccPXpULBbv2rXr5MmTrQ4Ew8WzxmNf7Lr9O/I9+zT3AowcCHNbDRfHqNsTyfbqi5lGD9gZvxxkjZlG/7A1ZnvaizNS2779I6WrFSHM5xWMHCRIjO/QXYhczj13ku3jyPawW2au/5WRTryzxSE7E2cGJXugNduzj2rVht5LSkpKQEAAAMDbzJhFIrq6uj59+lQTEykpLi7GejYNGDAARdHnz5+TyWQbG5t3t4EqUFRUtGXLFg6HExMT88MPP2A/EFiGrJmZWefHL/8puO73bdK8l9K8l4hMhinC33//fdeuXTExMW3cmJaWduTIkby8vBMnTrz7g1W7a3PRtBEqOIxbBVawPfvICtp7QGkK9+IZjo8T28cJCzrn+DpVRSxvT8zqp4A4/WnR9FHFs8ZLcv4TgF1cXNzM6dB2mGVmZubmzZvRf7KGtLW1sf1odHS0UCiMiIjAynW+d11gTgdlVX1/f//2r98rV65YWVlh+hsLzI6OjsYMNrq6urt3727bB3nnzh3lFtba2jo6Oro1j774eVpx4NiiaSNEacmtjYYgyP79++vq6l69erVx48bWpkbkcv6NSyiKystKOO9owXw3G/YQh5qtEW0/uKK2muPXf7uN4eZeBoO1aOkDeq2xZP1ha4wZPwrGeKrxvPHh0NWKsC5qV0nwlKbGKIFAsGXLFplMdvHixb/++qvVOxGE7e2Y72ZjRyMrs7gWmuntsDHk+DpxL5zWnMyJiYm5k4dfXb1M3g5PUifZuHHjqlWrAAB2dnbYO1euXBEIWt4kqkBUVFRKSkpiYuLPP/8MAHB1dcVKUmlra3d2aFhRGT4/392G49ef4+fC9nE6v/CHC+fPoSja0NDw3vhyzLTV2Nh44MCBpu8LH9xl+zhJXrWanakC8vLSfPfe7/qe24mirqbx72M12zfWH/69x+dXtROYx63+dRXbx6kuahcik7V4TUFBgdLpwGAwwsLCqqqq3r1MKpWeOHFi48aN2dnZzYJTEhMTHRwclOFjfH679kZ8Pj8yMlLZZ83f31+ZetgizTKDc3Jy8vLylPUxAgIClK7BtsHyhl1dXbEbnZycmvks3xYUHeJQuzcSc/20BgzDd+7cycnJycjIePXq1XunboiJxgK7WkhAHDEA5ja2vXUTPn2MXYwpwv94Afz6Pzt75uTJk8nJybGxsXv37m3Pn+LDp0vTJ2BuA/fkYYP5K5rmTjCZTDMzM8ym9ObNG7SV2qeIRIzCCgWKEiGI1KQVcIUMRiQSuKZKc2IPGzZMz9TUz2MwSaW+dx2CTCaLRCLQpGLF5MmTMUdI56moqKiqqmKxWDk5OVhEH9YcAIIgzNjbmcErV8wXProHUIAI+YhQgErEg5498n50EwCgp6enjIxtEYlEIhKJysvLDxw4EBQUpHxfUVFWtW6p0apNVId+nZGtGfLyEqKBEURVsUQkkWWoG/SV4dK1+t/Op9j1VaNgHynCB3dLgsbJC9lWp66yQhdDrXRXsLGxiY6OxuJKxGLx3r177ezsVq5c2aw6KIVCmT59OoVCcXd3T0lJMTMzO3/+/PHjxzdu3DhixIjXr1/3798/OTlZWV/ivWDBnGw2G/PBY/UIg4KC8vLyml2JomhMTIyLi4uyfuHdu3ex3moJCQmmpqZnz56Ni4trWnilDSAImjx5ckZGRmxsbJ8+fV6+fBkUFDRgwACs+r/o8f3imf6SjFTLk3EGC8MhCqWNoQgEgr+/v7Oz88CBA7GtQNsoystbqFAKAAAA4XELRg7keNqz3Xu39l/Fj18of6KXFtbM41TP41RXyhQAABRF7KlEHo8nk8k8PT17TMU1jf+yN6XxWDSlrxPdy7fFT/X09BgMBlY8991PCXQGgUwhKRQwiipQFNOFZTKFDZVMoDNIJm39znYeiMZAxS3WOlIzhoaGmLrVROkmMzOzdevWAQD69OlTWVmJNawgEAg0Gk0sFovFYoaqPVlEj+6JUx6h/80PQyRiUWqSMDGeOdy/7dsrKytdXFy4XG5/c7O8o9H2LH2KbR/aIK/K5fO0/Ce0v/FpO1GUlZAteql3zE8TuLa6Ztt68dPHBmErdabPbk9zx379+mFRVL/++uvZs2e3bt166NChBQsWLF26FDOBAgCSkpJWrlxJIBDmz5+/ZcuWhIQEFxeXsrIyGo0WHh6+evVqSptqo0VYLNb69esXLFiwffv2vXv3nj179vz58zNnztyyZYudnR0AgM1mh4aG3r17F/xTQL+srGzw4MG5ubkQBAUHB+/evZvFYnV0XixveNq0aYcPH/7111+zs7PnzAoyPj2mV20Fa+EK3ZlfaKLaO8nCEqL3dKzEAAAgAElEQVRQ0ZZ6aBN0dC1PXGnrZhhRVJRVLPoGlcsBADtsjHSIBADApJflAACIQODwhH5+fg8fPqRSqSr8Q3ygdNnZU1FbzfZxEj1Laf6+QhEbG/v06dO0tLQ7d+60MUL1+hVsr77LzPW/NtZ54GJ5tI+JC4OSPdCa4+OkqK/TpOxoZfj8+kP7NDqFEhiGIQiCIEjtiVBNwVqDMplMFEWxYLwW7VTtpPznkNaql5Uv+rY9IyBSadWaRWxvR7aPI3twH8y4WjR1hMoGzDao27+j6pfFah+2pyIrZHPPHm84flD0pEnsPoLw4s5zRgwsX/StvOr9GWwtkpSUhGXognfCLNesWfP48eP2BKeoQElJSVhYmDJv+Pvvv9+wYUPTzGChUKgMEbezs2u7fmH7wUJ4tLW1lw1wTL+j/tpsjY2NUqkURdGK7Mw3Q1qoZMke4lCzLaI9QxUHjmvZNOrTT9xQn5qaKpfL2Wx2cXGx2p+iW+g6RVizLaJ84TedGUHRUF84xiPfo8/vtsZfGeksMdd/6mrF8enXGHtcXUK2RtWGFXX7Wsi51hDYmmynC0Q1EAQhEAiYuu184nNx4NjWFGHhaHf+nWuSF1ltR7tULv8R8wH/x5/h6yQrbattm2pUrllct3+H2ofteSASceWKn9g+ThwfJ463I8fPpWiSr/TNK1lxYVnInIKxnoL4652f5eHDh35+fpi2s7Kyio6OlsvlCIJ0KDhFBQoLC5U+SyqVCkHQ119/XVdXp1r9wvaDpVioPf8KhuEtW7ZkZWVxudwvvvgiY/MvbN//NDLM9+xTON4L5rWrp6A48xnbx2mhmV72wLcBGd+b6HJ8+zWcPqJesT8QNGwaRRBFdSVEIqEKBe/CGYtDf3dmMKKevsXJuOr1yyekP51oRQUIDJEphsvXa42foi55W4NAZyBiDTaRaYaWlpZQKFR299YEWGsVgUAgFAo7X0efZGwiYzf3uGCgCFK/f4eiohSVyYgsA7K5FcnCimRmSbawIltYkcytSKbmMk6eMCnx3epliExavzfSZOt+lQVrEUV5CcPTR71j9kiqVvz06uGD29UN35noAAByG2S5xZWzvpoKUKAzNch05wECUw3fz6FDhyYmJsbFxa1duzYrKys0NDQyMpJOp7948QIAMGPGjN9//71tH7NqYMGcixYtGjVqVFVV1Z49e3766afg4OAzZ84AADw9PQ8ePKgMdVGN27dv9+/fn8fjpaennz9/PjMz8/r165gFWO2+DwKBgKVt7N69293dHRk+3KCPff3v2wAKELGQQKZRBw022bSToK3TntForm5mOw8uWbUAEfBRiECg0lbb0fV/WqY3+2v1iv2BoClFiMKKhoN7uSf/QhEEoChEIlH6OFCdB3RyWJKRifkfMXBDvbyQTdDRpfTu0zX9VAl0hqLdNf06D3Yi1GiHF2wWTBG+dzpUoZAX5KMIQrGxfTfGRJzyWF5cCCAA3nHPQwyGwbJ12hOnARRV1FQpykvlZSWKsmJ5eak0O11eVqKorgIAEBgMVNJMC6IAQABGRI8T1fCo/0VeVkKysFL7sD0MSWaaOD2FLxa/EsuwdxoUMFsiQ+Vyps8Iw5Ub1TgXBEFTpkyZPHnyuXPn1q5dKy3kDOhlUW9qum/fvs8++0yNEzWDx+OlpqY6OTlVVVU5OjpivZwYDMa6deuWLVvWntLBbUOhUAoLCx88eBAYGLh27Vo2m93Q0KC5/k0ZGRksFmvmzJkpKSkkEkk36Cud6XNEj+9XLg21uniXZGreodHoXr7Wt55WLPyaQKdrT/6M7umrua7p3Y5mFCGCVIR9m/H4EUMh70UlAQAy6qXmEinjz12seT93cmyJRHLq4iWFQuHs7Pzs2s1JkyZhvm6NAtHpqKhLT4QAAI02MsVmqaqqUp47W54OQRqO/tn4135sw4HK5TrTZxssXo0FuYlTHtf9vlVRXqoTGCxKSpTlv2ra7Q+iUCm97bXHTwYAAAgiGZuSjE1pAwc3HR6VyxWV5XV7/ie8f/ut8vvn7rcXtNK9UmVQmRSuqyGb44rwPYgS72K7ExGCFEsVAIBqOQwAAAgizn2uiRkhCAoMDJw+ffqTHVtMUh/8efgc1hxGc5w4cSI4OHj79u3gH820Y8eOiIgIrHpG52GxWEKhkEgk0ul0LK5Eue/UxOqeP38+9sLZ2Rl7AZHJtIEeAADVzu4QmUx1cEbEQuao8eoS8sNEI8cp/rWL0sxnCTWNmaK3P4vXGoR5DbzGEwdbM6C1HxqN9uWXX4pEoiFDhpSXl6sc6NghCAwmIuqKqFGMLuj52XSWNqar3hie8ceuJzX1iFCACAUvufxHJ45V/BQsfvKoNHhK1aqFjKGjel15wPrxZ/PoU8wR4whUGkFLB0AQRKEwhvubR50ChLa21RCZTLayZviOhBiMJlrwX4jGpmp63LcoykshAoFobKLeYXseivpaFEEAAByJ/GQt72Qt7x737aZEo5tCEonk5uNLRVFNa0EAQFBQ0OXLl7GTH6aZWCyWurQgACAvL6+0tHTYsGE3b97EukS1vdw0AYHBAACo/PNFNDKCa9/fyrs1EAFfnP5UkpmGdEnUvcpo5ETIPRvT4mOjMhnvylnDn9d0ZnAej7d+/frPP/8cs2kUFxdrwn/QDIjOQLvWRwi6QxEiCHL16lU3NzexWFxQUDDMmCWMv57P5T8XSj21aACAbJFMAEv6Z6ZJl4fqf7dQJ+grwj8bEQKdYfK/PXBdjSQns/7PnVpjJ+l/O7+9koweX7dz07t5TxCZrDPrKzU9LkCEAmHCHdGj+wQtHUVpMdnaVl0j90gofRwgKhWIZC4M6ioLFgDgEU/8kC8GAGg8W4lO75rlJpVKYRh2dXXNzMzUxHJT2nU9PT1v374NukMRQhQqRCSq/PckGRorVFKEqERcu20D/8YliEKFAEDkUt1ZX7MWLGtPx7SuRyMyKcpLsRd/VfGuNwgBAHli+XAdOkBgeadPhFQqdcGCBRQKxdjY2Nraugu0IMBOhJ1uotZ+umapKE00yul4PB7Ws3D69OkvX760ucsmSlt6agQh9+6r9/WP735CNDBiDvcXpyYpqirbLwlBR8844reqiGVNDaEQmQwggt6cbzv6XC0ivH+7OmIJikKoSACRSCVzJmmPn2q45tcPc1l2Iw8fPmSxWH379r2HkHspkHcvINAYunO+1qgMBHoXGWAsLCzmzp2bk5MDunDfqTnTaGtAdEYnToQmqpwIEbhs3hcpaelEhaw/gwoASOJLTI4edC0pNN0e9fTpUwKBgKLoixcvgoKCsAbO3YtGTKMEnbc2jW9NdP60Nf7T1niULh0AACCIaNhZkxSVSrW1tbW0tKRQKF2jBQEABAYD6UIfYdcslWYrUyAQ6OnpNTY2MhgMExMThUIhKCkACAoAuNkgwqpLHK9526sTrm2rlA/Frq+M/bpDwjD9J5rvj6E6umCmVKK2jm7wDwQtLXFasmpP1xRJZlrVL4u35pVWc7kAAFShWPOmrO7G5dpt6zs/eE8ChmFzc/MrV65ERUX16ufce9WGXrpaXxppY3FQDnTKNDMDqvMA3c++1KgYEIPRlS75Ll5uXXwiBG/38aqfCOHaGoC0sCVqA/7VC7I3r7O5/FzR20irVIEknycQpzysuX8nJycnKysrISFh5MiRV69eVU0w9aIRRag1bnKL9asgOl1r7CRNzKhpIHoXVZbB0PRSkUgkCoWi2coUCoXV1dVZWVm9e/d++PAhnU43sOyFue3G6zOwDU2w0dvYayLLsI3xKbb2KjiDaQMGW56M652YSTIyMVq/3WD+cu3Jn3FjY1R4wGbUbo1AJeI3Ern0n7pTr8QyhUTMjzunqCzv/Pg9BiKRCMOwvb19XV2dVCq9ypP13fOXh2t/QCJDZLKpActn3iKz/TFt+307D4HBRGEYlck0OouSLjbAdMuJUOWfL6KhMQrDcGNDh+7iXf67xRkRkfj0zt+IRGJxcTEAQC6Xd0HdyvagESH0gkP4l/7uw2xkEd6GPzgzKMZMBq3fAIb3ME3MqGkIdGZXngg1ujJhGF6yZMncuXPftdUYGxt/9dW/PjlRUmJVUgIAzb/QEJ2hPXlGG1NQ+jggfB5cW000NO6oeAQGU3vaLG5sDHPEGN3A4OJpI+RlJeROZDsgYpGM/QZ7/UYs5yoQAIAYQQEAEJEoTnmkPTWorfs/JUQi0fHjxz09PQMCAp4+ferv70/v29cq9hYqEaNyeTtT0DoPgU4HACBiIbFLKnh1WbYS+K8nQqPTNUX1WD8EFqcmQSRSzdZ1zOFjtEaPb2eFXnnF2/3lyRp+Ik8MAOBI5I50CgDoTEMts+DgnJwcAoGQkpKibGjcvWhEERIYTIujlwKWhcgKOCiKAAJhOo3GHDrKeMP29lQj/AAhMFQ3squARveMMTEx/v7+MplMuf6x+h3vrkyGz3Cam6fVw0Tlv1kfGllGIJLNLHRmfNHGFASmFsnYVMbOo3dcEQIAdGZ+3nj0T3kRh2xtS/cexrtwymBhuArjYKBiESARgUIOAEjmi7HCiTwYAQCgcgUi7Lrfow8fBoOxadMm7PXgwf8mukA0OkTrOkcORGcCAFCRCOjqd8F0XZatBLrLNEqnq7CPV1SWl8/7Eq6tQRUKYfx1UVJi3c5NZvuOUp36t3A1Ass4+ZLMZ5KsdEl2OlxVgb39hZH2bENtAMCeikYAAIAA0cySQCBglQpcXFw68VjqRCOK8MSJE1OnTs2YFSIrLRpjZgRIZNrAwZ3Z1Hc7EJ0JEBiVSSEKtQum0+hScXV1zcjIoFAoSnWL9S9tcTrT7dGDf1vvcO0C9uBuVCljiJ/xhh2tdRhQQrHrK2Pn0b2GqiAhyciEMcyfe+6k4dK1uoHB1euWsEIXq/yXJ+qxIIiAmUS/MtaxpJAAAAk8MQAAolLJvfuoNiyO5oDIZIhM7rKA+w8nW0lDQHRmR02jqExW9sMsRVUFgOG374iEsFhU/uOXvS7EEw2MAACISCjLeyl5niZ+nirJTEdFAoq9E22Au/63C5C6mvqDewHgNRuWQGfqqLuGvlpQvyJMTU198eKFl5dXaWkpgUBGR47HDhwfL4rKcu75UwCAms2rtcZMYviO1PS5ttlSSUtLa7o97yTu7u7u7u4AgJEjR4aFheno6Fy5cgW0sjIhCsVozf9Y85dLczJQGKE6uZDal9iHKUKVhdQN/LJy+TzWT0sZPsMJunqC29e0A9oyxrYFgaA9Yzbv3Kl3P4GodLoHXmvtQ0SF326V6WJF2PU+QhVi/QQ3LiGN9Uot+BYURaWiqnXLKDa2ksxn0te5RJYh1cmFPtBD/+t51H6u/zaTQmD+3Rv9uQJILsfecGdSTbWYdA9vhs9wNTySulG/Irx+/ToMw6WlpQiCYF0U1D5FV8K7eKZu+wYUhgEA/KsXhPduke36mv9+TKPVhpoulUePHvn5+fn6+m7atGnkyJHqnYXJZFZVVR06dMirl+UcbTJAkBZL1hH19BlDR3VocIpdX975FnRPO6F7+JCMTQU3r+hMn60zYw43NkZ1RQiAwU/LxE+TFoskhtDbYJlfehnSmEzTndHQh+Grx2mGatY81ejKYJnuOREymGgHs78EifEtOoNQuUKSkUK1s9f7eh7NdVCr22IC0Tz6lF/kWsHtawQKBQWQH5WqM/MLg0WrVJC/C1B/1GhERMQPP/zg4eFha2trbW2t7DH2MSJOTarbsXHtmzI2/+13YmFuYUV2VuWyFlLo1E5hYSEAoKyszMDA4PHjx6NGjZo4cWJaWpq6xkdR9PDhw05OTtevXydKRINrSspD58jLitUyOMWmj+zNK8nzNITXqNoIOjO/wEJGdabOkrHzpC+yVRYGotEtYy75/DCfoc+CIAiikH3GjLU+eZXmMlDlMXE0SlfWcurK9IkuDpZRVJbXbAgX3IprPHGw7JsZwoQ77blLXlyoKC5s7VOiHstgyS9a/hPaNg4R6AzjDTtsbj0x2XnAdNdBm/hnhkvXfrD7To2kT/Tp00dLS2v8+PHjx3/cFepqd/6KiMU8BaL4J+y+UYHAcpk057n0peq/y20TFxe3fPlyIyOjx48fDxkyhMFgFBYWRkZG6unp3bhxw8PDY8yYMc+fd7bYI4fDGTt27Pfff9/Q0DBx4sRTT9Ntzt0h29iVBI3nnj7SWnvrdsK/eqF84deoTFqx+NvCcV6VS0M6Gn4NANCePFNRViLJTCNo62iNm8w9e7wzIqEkMm/iTJu7z+r3n2n4/bTp7sNk696dGRBHo0CMrqvlpFHNVF5erlAoGhsbMdtYV54IJVnpJYFjedcuYEG/kqyM6l8W12xe/e6VqEQseZ7GPX2kKnx+4ZjBxTP94Ya6lvsZQBClj2P7ZSDo6NHdh9DdPAkMpsoP0gV0ReuGjxRUoVCG3T/mS242im42iuoUMAAAVcjFz56ofcaysrKpU6dOmTKlsrLSwMDA2Ng4JSVlypQpAQEBvr6+bDY7IiJCR0cnPj7e3d09KCgoL08VJ5xCodizZ4+rq2t8fDyLxYqOjr527Zq1tTWBqWW05n+mv/3ZeCy6YsHcDpWGaUrj8YP5m1ZdLylHEQTh8yuF4utXr5V9Mbmj8ZkEBlNrwjRu7AkAgO6srwS34mBuh7Wpkvz8/LKysuPHj0NE4vnz5z92i32Ph0DvulpOmtNMUql0//799fX1165de/PmDTYLg8EgEAhisRjpYJZ6h0Al4srF3yEiIYAVyjcRsYh/47LgVhwAQFFTJXxwt27f1rJvAwtGDqxY9K3w4V2yrb3Jr3tsH2ZbHr9MaCl3BaLR9OaGak7s7gJXhK0DK5SNhaQIKkEQCYLAKAoAQGFEvdm+KIrGxMS4urpeuXJFV1d3165dv/766/Hjx3fv3m1iYpKYmOjn5zdr1qyAgAA2mx0eHk6hUM6ePevk5BQUFMRms9s/UWZmpre39+LFi4VCYWBg4OvXr0NCQppewPAZbnX2NpFlUDJrHO/C6Y4+iKK6suHPnQ1C4ZX6t9v5cpniTj0fbqitj9rZ0dF0Z30lvHcDrq+lOjhT7R35V851dAQlffv2LSwsNDQ0tLe3HzgQt4h+6HRlLSfNKUIqlYoFpvn4+GCFxAQCAdYKFEVRjRpjBXdvov8EqjQFFYtqtvxSNNmvaKJv/b6tcE2VdsAMyxNxvRMyzfefYIUupnv5QjQ6ydzScPVmiEZvGhhIoNP15nxLd/fSnNjdBa4IWwWi0pT1U0bp0qextKaxtIzJJAAAgU6nOvRT10T5+fmjR4+eO3dufX19QEBAdnZ2WFjYmDFjsrOzFy1alJ+fj9lF4+PjPTw85syZM3v27Ly8vLCwMDKZjKnD0NDQ8vL3VEgRi8UrV650d3dPS0vr3bv3rVu3YmNjDQ1bKBBD0NYx3rTL6Jct9b//VhX+U4esmsJ7t9B32xICgEil/GsX2z8OBsXWnuYykHfhtPDBXQBA46lD1b8sFqcmdXQcAADW5RUAEB8fP3nyZBVGwOlKurKWE51Ox45ocLMgSXXw6tWrrKys9PT0iooKFotlZGQEuiQ8R/ois7WdBCoSGq+N7J2YaXX2tvHGnToz5lDs+r4bCa89aYbFgdN0Dx8Ck0mg0SECQf/Hn1nzl2lO5u5EM43vewgNZ45yfPtN1mdedzLPd7PJd7Px1aYnu1oXTPBGFPLOjy+TySIjI6lUKgDA1NT02LFjyo8ePHhw79495f/W1dVFRERgkUcEAgE7zBUWFoaEhGBNZBgMRlhYWGVlZYsTJSYm9u3bF7s3JCSEz+e3RzxFbXXF4u8K/AcL7t9u+j7M50le5Spqqt69pXb7xnw3m7vOFsZkor8uw1+X4aFFm22one9mk+/eG0WQdv1dmsC7dqFgxADOUGfs75/v3ps9tF/l6jAUVnR0KJyPApjbUBe1u2DkIM6oQVW/LJa8yumCSbGVxeVyURR99OhRTo5mJ8U6Pb1580ZzU9Tt3pI/2Pbtqvnvf2wfJxUGrFr7c83WdWqX8wMBV4RtAsOVy+cle/R9Mcga+w49GmSbP8xVmv+682Onp6e7ubkBACAICg4Orq2tVX4kEAh27tx5+fLlZrdUV1eHh4fTaDSlOmSz2Tk5OTNnzsScXtra2uvXr296S0NDQ0hICPapq6trSkpKR+XkxZ3nDHWuXPETzG2UV1aULZjL9urLGe7K9nYomj5KnP70P9MdP5jv5XDX2WKsHgP7i511MMMUIWdY/45OjaJo9YYVHB+HY/Ymvtr0sXqMoTr0C45mHJ9+dVE7VRgN5wNH+uYVe8TAF559sS/Pazfbl0McG04c0vS8WPn+srIyhULh5OSELa68vDy1TyQSiSIiIigUypWRHiVHoxG5GvbTLSJ8nMAe4tCCInTvXTbvS+Vlr169evr0qUQiOX36NJvNbmvApMSC0W6aE7h7wU2jbUIgmGz9w2XDNu1+rgSmNsnU3GHWlzYX71Ls+nZmVJFItHLlSg8Pj/T0dFtb29u3b8fExBgYGCgvYDKZP//885QpU5rdaGRkFBkZ2cwuunfv3r1792ZmZgYGBvL5/Pz8fOX1cXFxzs7OBw4coFKpERERqampnp6eHZVWO2CG1d834Yb6klnjS4LGXr55SyyVInweKpWey8guXzBXlJT4r+Qjx0LEFuJQIDJZa8zEjk4NNzbwb17mCsWRpQ1/2BrttzXeZm24pqhOJhZyYw51WVFmnK4BlUkrfgrOrqxey35r53/ME+4oqKjfv0P8LEVz88r/8aWlp6eLxWJ/f39scTk7O4eEhGDlodXCvXv3XF1dN2zYgMAwPGAwcv5EyWf+/OuXOtrb4b3I8l83RO9GUQS802UMotIMwv4tWMhisdLT048cOaKlpWVq2lY6BMPLFxCI4pSH6hX1AwFXhO8DgrQmTBWt2077+5b5pQR+0NdtN154Lzdu3OjXr9/WrVshCAoLC8vKyvL39+/QCFZWVnv27MHiXGAYPnDggL29/aFDh/bt2/f48eONGzcCAMrLy2fMmDFlypTy8nI/P7+MjIz169dTVC1hTDK3NI86SdDWQYTCE1WNwn/W7cEqLiIRV/+ySKmTyBa9dGd/o8tkjtR927DXiEzw0WUQtLRZ81d0dF5pbiaBTMkVydy0qFpEAgDAmEy0oJCKpQpAIsgK3qj2ODgfJoL4Gy039JaI66N3aWjS58+fe3t7V1RU6OjoTJky5dtvv50/f/6bN29CQkJQFD148KC9vX17fPBt09jYGBoa6u/vn5+f7+Li8ujx42m79ltduKf3VWj9vq0lQeME8dc7mbOEgSoUjUejSoOnUvo69Tp/j9Lb7t+8BQiCKBSTDdupjv9W+MR8lo2Njc7OzocOHWpsbFywYAEAYMeOHdu3b//P0ASi1tgA/vXLnRfyAwRXhO8HRVEejxcdHf369euLFzsQ8SEUCpUR0gKBoL6+PjQ0dOLEiUVFRQMHDkxOTt6zZw+WzKsC1tbW0dHR2dnZgYGBYrF47969ffr0uXLlip6e3oEDB5ycnC5evKirq7t79+6EhARHxw6k/rQIKpfJiwsA2sLWFYXhpskkBguW2/60JMjCiKClTdDRsdLRme7nY3kijqjP6visCAoBBYoSwL+nTBIEFCgKAKT2fTRO9yLJSMHiO16LZVGV3KhKLtbWGwAg00DarlAoXLJkyeDBg589e9a7d++xY8dSqdSzZ8+6uLhERESsWrUKU4fKveaiRYuqqtpqw9kacXFxLi4uBw4cIJFI4eHhz5498/LyAgBAJJLOjDm9rjzQ/fzb2m3rS2ZPEMRf78wTSTLTSmdP4N+4ZH7wjNGa/5EtLK1OXzPeuENnSpDWqHGMIX5URxem/38MMxkZGWKxODAw8Pbt2+PGjdPT0+vfvz8AoKKiorKyeQKV9oRpwoTbXdl+oOvobtvsx8GbN282bdqEomhUVFT775o9e3Z2djb22t/ff/HixQAABoOxY8cOhUKdsR7Pnj2bOPHt95vBeHsUmzlzZnl5ubqmkJUWYRErPtq0Ebr0MXqMMXoMLSLhjZsN28eJe+5ks+sRsUj09LHg/m1ZSaHKkypqqjjejk/6W/VnUPPcbPLdbHIGWjvQKbkDrdnejohE3LlnwvmwqP51db6bzSVH81G6jPMOZucdzNZasr430c13s+H4Oat3roSEBHt7ewAAiUQKCwu7evVqbGzsy5cvw8LCsOA1MpkcEhJSWlqam5sbGBiIedm1tLTCw8MbGhraOUt5efnMmW9rTPv6+r548aK1K2GRsOHIn5wRA0rnThelPOro48B8Xs229Wwfp7qoXYhM1uI1ivo69hAH6ZtXbYwjlUoXL16cm5u7atWqtWvXSqXSZhcUTR/Fu3axo+J9+OAnwvcDw/CTJ08MDAxev35dXFzc0KBiWveiRYu++eabnJycJUuWYKGe6sLNze3atWvJycleXl7a2to6Ojpnz56dOnVqenq6uqYg6rGU9s+t1oZYn16skwNEJBFZBs2uh2j0hw2C3Y+fFoplR44cOXbsmCqTGhozho4wYtJnG2rNfVO5vbzhm/yqRWa6NDpdZ/rsdrZGw/lYoLt7YXY8fRJhAJM6gEntTXvb5ITqPEBdszQ0NISGho4cOfLNmzeurq5JSUl79uzBGhGbm5srnQ4oih44cMDW1nbPnj1KH7xAINi6daudnd369et5vOatFZqComhMTIyLi8v58+cxw8yDBw+cnJxau55AZ+h9/aP1tcfMEWMrl88r+zbwXbco3NggTLjNv3ZR9uZV0/dFD++VBI2TvsyxPHGFFbq4tc4wRH0Wc9Q47tkTbYhNIpHWrVtnY2Ozfv36FStWvOtM0R4/RXDjUhsjfKx0tybuycyePXv+/PkbNmzYsGGDnZ1da7kNauTJkycAAA8PjxcvXsTFxW3fvl2Ng5fMnbDVvK8AABp1SURBVJY/2NZHm5biaoVFoDnSKW/cbDg+TrCghXwMPp8fFhYmlUrr6uoOHjyo2qSwgF88eyJ7aL/sgda3+lm8GGTN8e1XFjIHeWevivOxg8hkhROGXHKymGmghX3B/upj8r2JLsfHSfw8TS1TxMbGGhsbAwDodHpERITyxFNRUZGZmXn16lXllS9fvgwODiYQCAAAJpMZHh5eX1+fnJw8evRo7JfT0NAwMjJSLG7BLPHmzRtlffyAgIDi4uIOCalorK/dG8n2diyb94XkRRaKoiisqNm+ie3tyBnmwvZz4fj2K549UVZapKitrlr7M2dY/8ZTf6Ew/N6Rxc9TOUP7wXxeh+RpiqykkO1hp6itVnmEDxP8RKhZhg8fHhAQEBAQ0GLqutpRlg9mMBhNPZRqwXjNFgKVOkyHTvsn93asHoNAZ2SMCNi8c1dhYeHu3btPnfq340RqaqqFhUVWVlZ4eDhWX0MFCEwty+OXDX/+RX+Am2MfOx13L6NftphHnYS6pHc5TlcCkcnm+08MsDDd6vC2d+lwfa2VdmasJb/QBqj4/VFSXl4+ffr0oKCg6urqd8PHRCJRQUHBhAkTlNc7OjrGxMRgB0GRSLR161Zra+tLly5duHDhzp07Xl5etbW1K1eu7Nu3b2pqqvIuuVy+detWFxeX+/fvY5nBcXFxVlYda8VK1NU3WBhuffUR1al/2XdBFYu/q1w2j3fxFIfH3/K6ZPXLoqvlNfL8V2VzJhXPGI2IRFbn7ujO+abl0qD/hTZgMLmXbYulLc6dO1dcXBwfH//XX3+1ERlEtrSmOvUX3LnWoSf6COhuTdyTaeYj7IITYUFBAQDA2toaRdHr16+rkDXYNuKs9IIJ3mw/F46fM2dYf45vv8ZzJ1EUPXz4cH5+/k8//dT0DCoWi2tra/l8PpvNVsuzIwhy7Nix3377LS0t7c8//0xOTu78mDgfGrBQ0BATXfZ9UOmXU2oi10o5nc06RxAkOjoaS5nX09OLjo5GOljY4cmTJwEBAdgPJnYQFIlEd+7ccXNz09PTq6urwy5rIzNYZeRlJRVLfmAPtn3c38qZQYlzMn/S32q2ofYvliy2p335/OCODsi9cLp4pv+7pS1SU1MfPXqEomh0dLS8zWTBxtNHiz8bU75gbsFwV45f/7LQz5slE3+MfKBNMT5G0tLScnJysM0mg8GYOHEigUBQFndu+lpzNC3d1HR7qy5o/QfZXH0kyXmuKC8l6OjS3TwhGv3UqVNSqbSsrGzIkCElJSX/XkyjYbn/mFSdB4Kgr7766rfffnN3dycSiTU1NWoZFueDgsBglrn5vtE2njp16vXr1+3lSGeSdnNycn744QfMZRAQEBAVFWVhYdHRQby8vOLi4h4/fvzLL78kJCSsXLny999/X7Zs2ePHj4uKilgslkgk2rhx4/bt22EYtrOzi4qK6mhOVGuQzC0pffsJH927XC/43FDbiU4BAKyxZH32uuJrYx3Jq9yODqg9YWrd3kjxsyf0wd5N36fRaFKpVCQSMZlM0vuaJdW9eS3Le21AIgAAKpIfVj5PtV0YDo+fduvWLRcXl4KCgrq6um+//bajsnUjEKqO5BUcDDab/ezZs+vXr0+ZMmXGDNUbyaqMRCKh0+lUKlUikXTZpGVlZVigQWNjo7a2tsoJIe8FhuFNmzZ5eHiYmppeunRp/vz5bacA43ykFBcXJyUl2djYpKWlIQgSFhbWnruEQmFVVZWtrS0AgMvl1tXVnT17FnMEmpmZ7du3TxnA2Rni4+NXrVqFtQXt1avXmjVrzM3NFyxYUFRURCKRfvrpp//973/qXQI1m1byLv29ubTeR5s+UpeOvTkmt+yOswVEptg+ed3RAWu3b1RUV5pu29/0zUuXLiEI4uDg0KtXrzaayMqLOCWB467VclGeeC4BAgC8EctfMSg+fSyMok5m88VsNru8vNzZ2Vl5hv4owE+EaqOsrOz+/ftffPFFUVFRhzpCqBEajUYikaRSqVwuJ7cSPKZ2lFvsLlBLX331FQRBOjo633zzDXbcxOl56Onp1dbWOjo6amtr19bWtvOuly9f/vHHH0eOHAEAJCcnX7t2LTY2ViaThYSE/Pbbbzo6OmqRzd/ff/To0RcuXFi3bt2LFy9CQ0MhCEJRdPDgwYcOHRowQG3RrUrINraATLWkkIqkcgDoAIBGBYLVlyAaqBJ5oDtrbkngGEVVJcnk3wU7bdq09txbuWJ+g1ReWMufJ1XoyhQAgMEAcEkEVCKpP37IadWvycnJYWFhFy9eLCsrU+Hw3V3gwTJqo7q6WldXt7i4eOTIkeoyjKhA17Tb7haIRKKtrW3v3r0NDAxsbW319PS6WyIcjXDq1CkjIyMsI7aNlIO2odPphw8ffvDgQXR0tLq0IAYEQTNnzszOzj5+/Li+vj6dTl+yZMm+ffuysrLq6+vVOBGG1pgAAhGaZqB1qV5wjyt6KZatKa79zkQHotF1ZsxRYUCylTXNzYt3scNN1uTFhTJ2nhRFmBJFH5niNYmYTlKmgaHcF5k3btyYNGlSUlISk8n8iLQgwE2jPQ9LS8uysrKSkhJLS8vulgUHp+tIS0ubNWuWt7c3AKCiosLd3X3btm2annTYsGEPHz5MTEy8du2ag4PDxIkTNWEXaTx5uP7PHbV8wZV6oQBGfHXo7vo65F42lscvQxSqCgMKE27X/O8Xq9PXEAGfaGhMYLbDi48gdfsiG48fqpIprr0q3yyHJSSiHABtBXxXj2Fja0yxd7Q6c0MFYT4EcNNoT6MLWp3h4HyY+Pj4REVFAQDi4+MfP37cBTMql5uRkZGzs3NKSsrUqVPVPoveF9+RjEwI2zd+py0ARBIqk2oHTDf4ea1qWhAAQDY1h/ncogk+EI2KymQ0Ny/jX7aQzFvYOsP1deKUh6KkRNGThzCPhxVEFcIoAICmgJs6J5jew1UT5kMAV4Q9DVwR4nyykEgkzDWAlUnrApTLLTQ0ND09/d2OMWqbaGyA1tgARXkpIhaRraxVVoEAAEnO84ofPwdyGYqiqFABAJCkJpd+HmBx8grZohcAACCw9PULccpj4YO7kux0spkl3cvXaO1WhNtQu3U9kPOyqcQYLaa/LqNEpoip4Q3SotlAkO5XIep62K4HV4Q9jR7sI8TBUSKTyc6cOYMgiLGxcUlJiaenJ51ONzc3xz7V0tIyMTHpAjGUilBbW3v4cM0eiS5fvpyRkbF69erL16+/ePFi9erVqoyCotUrFyBiMQAA/FPLHkVgWMSvXrNI57Ng0cO7opRHAFbQ3IdoB8ww+d8ekunbvyoiFNT+th4AoCCTfK0MxADUiGVlAuoSE13tgBmqVNX/YMAVYU8DPxHifApQKBQXF5f4+Pja2tqlS5fu3Llz6dKlmzdvxj4dOnTo0KFDu0AMbN/ZNctt6tSpb968aWhokEgkTduXdgjpqxyYx23hAxiRZD9HpFKGz3DTGftp7l7QO9mEBKaW8Yad4tWLfjCRA4ACAJlTSF+Y6pFt7IxWblJNng8EXBH2NHBFiPMpIBaLpVKpRCLR1dV9+PBhd8UoYsutawwwmzZtMjMzq6+vJxKJ2dkq9qWSl5WCVgp7QFpaxmu3Uvv1b+N25sixtlHHtbeslRewITJZD0VHTgtiLVgB0eiqyfOBgCvCngauCHE+Beh0uqGh4cKFC7W0tPLz84cNG9YtYnSlJyIsLAxBEF1dXScnJ5WdkQRtbVSuaPkzBdwe8yZtwGCrMzcQsYiTm5PBKZw8Zcrdhw91dXU9PT1VE+lDAFeEPY2utNXg4HQjWENB0Ilcw87TlftOXV1d5WsVooEUNVW8C6d5Z48r+6k1g2RkTDJr78GaQGfoWvdG2AUvXrxISEgwNTXFFSHOB0RX2mpwcD5xPgIDDIqKnybxLpwSJt6huXkartwEZJKa//3yT7zMWyAa3Whdx9IuDQwMmExmaWmpmZlZdXW1WoXuanBF2NMwNDQ0MjJ6t6MmDg6O2ulORYggvMux3FN/KSrKIAaDOXwMK3Qx0dD4388FfMHtq9zTRxQ1VdqTZlidj3+bHQEAiqC12yIAIACAojIZAKjp9ii6W8eOdKmpqdXV1ePHj+fz+cp43Y8UvLJMj+Lu3bvu7u5Y7bGrV6/6+/vjBTlxcDRHXFzclClTAgIC4uLiunJeFFZULvouPyXZCJaRIQgAUAyjvXR1rf46S7HrK32Vwzt/SnDjMtnGTmfGHO2J094NZkElYnH6U0V1JUSm1GwK73X5QdPSo58a+ImwR3Hw4EEzMzNMEe7atcvLywtXhDg4mqO7ToSNMQfFz1M355ctt9C3oZIBAOHsqug+UHnoHIq9o+R5GnOYv9kfx2gDBrc2AkSjM3zeJj4Krl/kXTjFmreki6T/8MCLbuPg4OCoSHcpQu7xg+h/nXwAAIAicGMj2cLa+uYTk61/tKEFm6ETGMy7eAaVy9Us5ccDfiLsaSxcuBBrJ5aVldXdsuDg9HC6RREifB4iehsNt6O8UYsAAQAKpXIAAEQikm16E3X1OzQgc9io2h1U4b2bWuMmq13ajwJcEfY09u3b169fPwDA6NGju1sWHJweTrdkK0FkMooiAKAAgB9MdHpRyACAfEkVAAAQiKqUISUQdWbM4Z49jitCHBwcHJyO0WXZSlhtVblcbmFhUVVVNcjMillSAADQIRL0SAQAAAmCAAAQBNEHe6swvs70OQ0H9kpf51IdnNUr+UcB7iPsUfj4+CizbkeOHIlHyuDgaBRtbe0hQ4Z4eXlpeiIKhTJo0KDa2toHDx7IZDL08+8hGt2QTMT0HwDAmEwkUan0IUMptvYqjE/U09fyn8A7f0qtUn804OkTODg4OKpQUlKSlJQ0a9YsAMDLly85HM6kSZM0NJdEIrl//35qaqq+vr6RkRGLxRoirK/bvgGBUSCXAggi0BlUl4GmOw8Q6AwVp8hKL5/3pc2NZIKO7vuv7lngplEcHBwcVaisrLx9+zamCAsKCh48eKA5RUij0dzd3UeMGEGlUmtqarAmUwyfEYKbl6RvXhH19JkjxqpmFP13Clc3Su8+/OsXdWd/rR6hPx5wRdijKCkpuX//vrm5ub+/f0RERFhYmMrtWnBwcD4ojI3fVo1RtlokmZjqzf1RjVPofPZF47Eo3VlzAdRKi4oeCq4IexRWVlZBQUGHDh0SCoUsFksqlXa3RDg4PZm7d+9Onz4dAFBVVeXn59fd4nQW7QlT6/ZENsYcIGjrEJhadK+hRL2OZWJ8pOCKsEfB5XKjo6O/+eab8+fPV1RUFBUVfew1AHFwPmRGjx59+PBhAMD169cTExO7W5zOIn2RDeSy+gN7AIJAZDKqUOjNDWGFLO7xB0RcEfYohEKhm5tbZWXljz/+WFtbi2XW4+Dg4LwXWd7LioVz9xdUzjLU0icRUZl0e3nD4pgDAAGseT93t3SaBVeEPQpzc3PlEdDQ0LB7hcHB6dlYWFgoG+Ta29uTyeTulaeT1ESuRSTSdKF0MouJ2UOT+ZL5IjH3+AHdWcFEVk/+PcHzCHFwcHBUwdzcfOrUqdhre3v7MWPGdK88nQGVSqS5WQBFAAB1CrhaDlfLYQWWXEckip486mb5NAx+IsTBwcH51EH4PEAiAoUcAHC8ms8gQgCAKjkMAEDlcoTb0M3yaRhcEeLg4OCoyNOnT9PS0ry8vP7++++IiAis9OjHCJFlAP4prrLYXM+CQgIA5IhkAACIQiVbWnencJoHN43i4ODgqIinp2dpaam+vv7AgQMRBOlucToBgag1dkqLBbshIpHu5dv1EnUluCLEwcHBUZG0tLRBgwax2eyCgoLi4uLuFqdTGC5ZQ2IZfm2uzyIRAQAAoPPN9KgMhknkPlU6WnxU4LVGcXBwcFRELpdXVlZaWloWFBRoaWkpi798pCA8bu32DYI71wCJDGQySp++Rqs3U50HdLdcGgdXhDg4ODg4/4IqFHB15eOc3NKa2qFDhz59+pRGo02e3JNbFeKmURwcHBycf4FIJJK5pYv74Pz8fAMDAx8fHwKhh2uKHv54ODg4ODgqQCaTLS0t6+vr4+Lixo8f393iaBZcEeLg4ODgNCczM5PJZFpYWHh5eRGJxO4WR7PgPkIcHBwcnE8a/ESIg4ODg/NJgytCHBwcHJxPGlwR4uDg4OB80uCKEAcHBwfnkwZXhDg4ODg4nzS4IsTBwcHB+aTBFSEODg4OzicNrghxcHBwcD5pcEWIg4ODg/NJgytCHBwcHJxPGlwR4uDg4OB80uCKEAcHBwfnkwZXhDg4ODg4nzS4IsTBwcHB+aT5fzt3F9LU/wdw/Dudmplp6bQU23oCS6NAMc2Muim9iJIIqQiyoCAokegi8im66ImeLEK7qCRIg4ikm4pVmKaWRl2s3GrZw5zLZWkoatM8/4vB/uNnP+vXfFh+36+r9t3O4XOQeG9nZ4cQAgCkRggBAFIjhAAAqRFCAIDUCCEAQGqEEAAgNUIIAJAaIQQASI0QAgCkRggBAFIjhAAAqRFCAIDUCCEAQGqEEAAgNUIIAJAaIQQASI0QAgCkRggBAFIjhAAAqRFCAIDUCCEAQGqEEAAgNUIIAJAaIQQASI0QAgCkRggBAFIjhAAAqRFCAIDUCCEAQGqEEAAgNUIIAJAaIQQASI0QAgCkRggBAFIjhAAAqRFCAIDUCCEAQGqEEAAgNUI4znp7e5uamnp7e8d7EEBqzc3NNpttvKfA+PAtKioa7xmkVl9fn5iYmJ6ePmvWrLt3737+/DkmJsaTHSqKUlVVVVlZ+fz586lTp4aHh7s/+/Xr15s3bz548MBqtWq1Wn9/f8/GByaIZcuWvXr1KjMz02Qy6fX6uLg4lUrlyQ67uroqKyv9/PzCwsLc13t6em7duqVSqTQajWcjY+QoGFePHj0SQlRXVyuKsnjx4qysLE/21tfXl5GRIYSYO3dueHi4j4/P0aNHXc9WVFRMmTIlPDx84cKF/v7+ERERjY2Nnh4AMCHExsZu3bpVUZQTJ04IIRwOxx/vymazFRYWTp8+XQixZ88e1/qnT58KCwudXdy+ffsIDI0RwqlRL1JXV1dWVubJHo4cOXLnzp3S0lKz2Wyz2bZt23bgwIG6ujohhN1uz87OzsvLa2tre/nypdls9vf337179wjNDkwQOTk5XV1dfn5+f7yHVatW1dbWHj58ODg42H09PT29pqamsLCQz4LeRj3eA+D/jEZjYGBgbGys86GiKI2NjSaTadKkSfPmzWtvb1+xYsUwJzMHBwcvXryYnJy8c+dOIYRarT5+/PjVq1dLS0tTUlIiIiIMBsOcOXOcL46JiUlLS7t9+/YYHBfwF7Hb7c3NzcuXL3edGrVYLE+fPu3r69PpdIqizJ49Ozo6epg9GAwGX19fIUR+fr77ekNDg1qtFkI4P3TCexBCL5KdnR0bG1tRUSGEsFqtGzZsePr06ezZsx0Oh9VqVRTFbrcP816yra3NZrO5f8gLCwtLTk5+8eKF86GrgkKIrq6u2trapUuXjtrRAH+l8vLy/fv3OxwOPz+/wcHB3Nzc8+fPh4aGajSad+/eORyOkpKSXbt2DbMHZwWHclYQXohTo15q48aN79+/b2hoePv2rcViKS4u/uUmVqtVCPGP96ozZ85saWlxXyktLc3JyYmPj4+Kirp8+fLIjg1MJCdPniwuLj516tSXL1+MRmNzc/N4T4RRQQi90fPnz+vq6g4ePJiQkPD7W3V3dwshJk+e7L4YFBTU1dXlvmIwGJqamrq7uwcGBr5+/ToiAwMT0oULF1auXJmTk+N86OF1pPBahNAbvXz5UgiRnJz8n7aaMWOGEOLLly/ui+3t7VFRUe4r586du3fv3ocPH3x8fNauXetwODyeF5iAenp63r9/z9cHMiCE3igwMFAI4ePz3/460dHRKpXKZDK5L75+/fqnP0ycMmXKli1bLBZLU1OTJ6MCE5W/v79arf63L/wwkRBCbzR//nwhRENDg2vFbDb/cqvg4ODk5OQbN2647lPz7Nkzk8m0evVq58P79+8PDg66Xt/W1iaGnEoF4KRWq7Varft/wzdv3ozjPBg9XMXkjRYtWpSQkHDo0CGtVhsfH3/79u0LFy78zoZFRUUZGRnr1q0rKCjo7OzMzc2dMWOG8zrSN2/eZGRkpKen79u3T6PRVFVVnT59Oi0tzRldAENlZ2fn5+cfP348KyvLbDYPf7GoS0tLi9FoFEL09/dbLBa9Xj916tSkpCSbzeb81qOvr6+1tVWv1wcFBaWkpIzuMeB3jPMP+qVXXV3t6+tbU1OjKEpCQsLmzZud6x8/flyzZk1AQIBKpVq8ePGOHTuEEHa7/Zc7LC8v12q1QgiVSpWammowGFxPPXz40HX1TUBAwKZNmz5//jxKxwX8XeLj47dt26YoysmTJ319ffv7+xVF6e/v379/v/MeMRqNpqCgQAhRUlIy/K6Gvm1NTExUFGXo7TIWLFgwBoeGX1IpijLarcUfGxgY6O3tDQ4OPnPmTG5ubmdnZ0hIyJMnT3764iVLlgQEBDj/3d7eHhgYGBQUNPRlnZ2d3759i4yMnDRp0iiODkwgHR0d06ZN+/jxo1arvXTpUnZ2ttFo/Pbt29BX6nS6yMjIsZ8QnuDUqFdTq9XOuzSZTKawsLCQkJCBgYF/u5r09evXrvOc/7jXtrvQ0NDQ0NDRmBaYqKZNmyaEcF6J5rwxxZ49e/R6/dBXnj17du/evWM8HjxECL3Uhg0b4uLiUlNTnR8Br1y5sn37diGEWq1ubW396SYRERFjOyMwwRUXFzc2Nq5fvz46Otpqtebl5el0OucPKq5fv/79+/ehm4SEhIz5mPAUp0a90Y8fP8rKyq5du/bq1auOjg6dTpeZmVlYWOg68wlgDDx+/LikpKS+vr6lpUWj0SQlJR07dmzu3LnjPRdGGCEEAEiN3xECAKRGCAEAUiOEAACpEUIAgNQIIQBAaoQQACA1QggAkBohBABIjRACAKRGCAEAUiOEAACpEUIAgNQIIQBAaoQQACC1/wEVG1QxpuPm/QAAAs16VFh0cmRraXRQS0wgcmRraXQgMjAyNS4wOS42AAB4nNWSW0gUURjHv5nZnb1fZm+269ZOttbmJdYsb9DuUcogDIItpIdsy6ANFDKMbhLlUlGavmhGmFgJKlpGKkbp7ixIaOaD0MXCRERRwi4+RA/RZeYTK3rvoQMf/9/58z/fN2c4HyN3J0FcRrFoWFobxPKKdY5iiUdURvbPFP5WXlRR3KJQv7d/imIpyyggSQoxvwzlktLLSqFS1P+iGqBDNMiCFBOiKXmQVgYZVVCmDtFyTYhmlWKpgwpViFZogkoVrzaAJo7X6kFr5rU2D60z8zqLKFZebwCDUUYbLMCZwRQHsAIoO9AOYOJB5gT5SmBXgcIFeh70q8GYAMY1YHQDlwjcWuDWgckDpvVgSgJLMlhTwJoKeYz4gSzI1KySZim5RqFiWK1ZZzHo4zaKj4aC5YfjPpwSyUvMEaTN4P3LwjSrJhLHc0J0s1yPfqnLJ7SNPvZLXJNQ7Q/sZ9G/5XwgzJ7vRL/vdWPE9Kpni8QH8y8IxZbCqMRTs0PRiYosZE1vttBe96Nf4uGdYf+eWTv6R+e6hHu7HBGJ9wWqiCerC/3Mr/XkRMMN7F9SlknKG6+h33TWRFqHd/skvvjptn9ovBUz+YZxUjfXj31ST1OxQ4VXkJvK20jN4iZkV6yAJKd3Y/6ks5v0XbfjfQef3STzGV68V0FgXHjXcRxnQeXIQLP8KvqfZ6uEqYUjmN8+5RXcI7noh2rfRAc7OfTVxTpS6s5Ev2tgQoADNPrDKUKkxD6Cc9O4sGDrsGLm1Pw2UlbBI/c+WfSfKXqBc8fqv/m7/So821QZ8LW05ODZrbVhX2q1A/2982Mk3PIe8+kZk+SRtxYzX54zuWkdBvTTKrUxo2MUOTCzIBR9uISZnqe2mKb9Jf7DhzPZpOG7E3u6+qbJ2x06ZO5OM6lKP4Zs+wl+zdCR0OQ8CwAAA/p6VFh0TU9MIHJka2l0IDIwMjUuMDkuNgAAeJx9VstuJDcMvPsr+gemIT5FHfawtjd2EKwNJLu55hgskGP+Hymqx+pegEh7BpimSlSRRZH+58fffzV52PL5/fm3H/9u6+HnB9jb/3zGGNuf0lp7+Lrlj+3xy8uvb9vTt8+PH5an9+9v3/7Y1DcN7MHfz9jP396/flhoe9pubScPcd5uvI8Wxrq1vc3n3MuJ1F0aB8fGO5l7bwVQEki7tWY8XTKN5lEgNZE4sjfHOu3qnak62wCkvQ2NprkDWbDSo6dH280NCGwR7b302I+4pbnoyPUIaVQA4wibXEM5t4Q2MiuQ4x63DyNLZOfmJZLaPfBG3ie0CdEYFZSO0NkCP4H0Rsh8heQjdkU622RK1nxUWaKUCFKaDPbkLB6jjJ50Ij18kIMHt961V8CUiPdwZxwJl9TdrSoP8onkiNGTHFxGK4F9hs6dh08tiaRJBUyNfO9G4TpVRThWqU5To0D9sKCIAeXeqMwRt+1ts51dWXxms6Pcq+OZgJQd+nH05DnyuQC3p9eXT7TgPB3b6MyGRCRcK0FZtnfkfggx1lEu3USsUgn39X27IQMoDp9hDUPOylts2+ssuDHER1a2okikkhSl8TpvfKdAjLKjmFuUGeiJBEHPzG83Qb1Gq7tIJJT23rqh4lAH3alsIzyAxHobuX7L2iIrpcLnNcOPEXkz0R5AuVeJEjqiF6QStxmXNbxTFZLwEXwbFmgQOF4kzKs8iQAqs6ZodidDbKO696JA0h54es8suHutvdhEIiCSjIhUreaZIuUlgji5jsuC0ytgP4DZnhgeldBMy6NTId8NFYQTQRJhWym7jIkcqjSbA+H+9Up0TYFiZxk6JPNvTlwerlOg2HtQD5spaixWDo+pUEf94tqlls1pYIYVyBToNnZl1UhXSoNrnzprbjS1yLSroeNUbVlTn46poYFrllXaoWQFTH1sR5MZzVAlPVRGFfmXt+efBvMxqh/f357PUa34yjmP89XOqatpOkdrvvo5QBWIcY7JXKfLNFRAaPWowDsU5XO0KTBrO7X5fuIpucXFIfFhWB5QSgQ3F0Syxz5aHDFCKDfyCiKrau5cUWImTAtfmz9Py0oMmjyle772cp6WswnTHbMIoi3TpLD4cFJOCphDv7x8OhOvh/3ibTKP64mT+bjEwpM5oJdOiFcgLw0P8gJ46WuZV45L+4LiAF66FEEoufYigjKyqEmSDQAvnWXGKSse8btlcZXJFW7O6oq7ZbGVcbcsutqOLMjiq3S3LMLKh0Wvl3NmShdl1btlcVa7WxZnTc4QUc+CT84QURdnjbtlcc47dr1R+f7xjzN+P/wHtXolwCkM0xMAAAUoelRYdFNNSUxFUyByZGtpdCAyMDI1LjA5LjYAAHicdVZNaxxHEP0rgUCQye5Q313dwmBQDj7JvhsdhDBJIEHBGHLxj8+rlrQzbGYWNMy0XnV9vX7VXz4+PPHTzZePD++ebs5P8vb65e7Dhwe9uZuf8zH/7n99mB/v727uL6v317C7m/ef3t3p5fuyaT1lu/LpyvKJ8fzpx83ZFm2cctIl3ClPt7VCknqShT2iYUWW3ghvvFg0Yazw0qg5INKCXyHEkaczLaTMPXOiPLpLLTYh7I81wu6h1k8AZipNl1hsribw4BkNHngh8eQyDWIEcrqFs8yeMBRqWRBp0isqONT67lkviNvMsUcB4VRP5b5XvLX0EpIsxob9b3Xh3qVXbuWik3nWf10JC7ZERq+44LM28MV7k3KivXcsNKRhOUtBLXohCDsyCtrSrL4lTKwy4RaNEGkszTmjljSyu9WSew/ky0t6IASsdDMu1wwsapyLaEfhYOXBSK3CU9euZVUb1UJXFj+hHyioeqWUERMB7+GVMHVRLogj4qpb1q8gEVE5ofjdshCEHNssPXX0+Vy7ccyOodsacpqdT1S01gBX1AAUMopuLxQg8gkTRg8mVVpMFCKRJJmU47CcNUojnkQx7OY5U1HNiuLsi6Hf5duxfREHlQQ95lpH/aqS55wJaq1JQy9yrrXk9pIjiVYGDTFKFn0ouNdKX9CnyUzjLtUDeEQzerFDrRUv4REc5Oo34eC007vT4/fnvz9/e/5n0PL58dv3Px//uvvj8dvvXxf65WeLW1aFZScFT0iMHbgyuX/+/hVsHHxldX4xo644JWhvkd2EG4AXMx6ybwVnnNbEJK0jvQDwYqVD9yM0atLYjVEjUkng1gjbsF0rKpHg1nA+2BnCkA7kxa4PP0iMexVE3XCwGK8B5MUsRxzVg3G4XVMaZANsDyAvZjHaQfFbU3Qz1FkaygjcWg8aeVBGY/gDn3DwsIEagGvxafR9Z4yj7CCcQFkUrQZutUKnrwny5o0dxXO3htMQpFnI1TAGX3PktSRhKD0OMfS6J7SBC7mmZ4OvaXJsuOUJQt1nyp7hhiuKUK/J8poj9B1N4LISMsss5EoyGnxNl1c7CB1s4RanJ9IKdzEzHXxNlxczq0mhHZEmTQ4UcC0pPq/58honTo1FPdgwVcijkGucyPeaMm9xwpni7JQIlWoWcA0Uce9zZsduQxrzIQekMaofRk8QZEKpFXLNsA85II1mq8ESQhgdaGgBVztsc8CZpJ4WFSiEFENQC7m2HoYHnNkx3HImhxwIzI7hhjOKFPc5Aw3riao0yHupzQSuKcqQA43BqIIyYYrjJGOSuRdybT4MD1jDrXsItBpSiktU10KuHlHjfdZgVEPk3VQcqUISC7hmCIcHSvN/uw1rFEJ/LDWCexYIjutC58KtZBu6TxmW8iemmCm9NSncWhVMi6NhBBF1wanXaNB8nciLIQ09GEc+mY1ZaYq5hDOn23mEMA80po5PBHmC2Zj8AU7qVmSG7vMFw0sI9z5kFzU/ewFXsxh6wJd5z+QSNPEWVv42fMHXwVDCLHJ0L3FLEXcu3No8fB6QBXqmjsGepIFBnwVcSQa7a7K8aa/gtGOiJY5+XQ0mcs1Phx3cXCD1oRBQDGqpe0UBV4c57EBicPQY94mmXlcQ7lbIlWc07EBjdgw3jMG0sQON2THccMZk2AFnGNdaa4TLnXo3SHEhL4a40RxRxusgQbMh2hAm2xKmn/79DaO///gPJtyUE1PSVIEAAALeelRYdHJka2l0UEtMMSByZGtpdCAyMDI1LjA5LjYAAHic1ZJbSFRRFIbXOTPnzP1+ZnTU9HgrUyuTAiud2Vlo0RVUFCwa7cERDLyUDzWVNopJaSKSD5YoiiAaijRKmDOnMFDEJx+ykBiEqcigFzMqupyzBgui1x7asPm/vVjr3/+G/cH/4BWIyyhuGsJrl7gzxd1AsSRFVJn8nyn8qbyooiSJQv0+/kUU4RGZAlKlXtmvgjKs9KZSqBT1v6gGKDcNtIuSuWi5m5Yp3bRc6WJYN82oXKzGpVC5aYXapVTxao2bVhtAE8lrDaDleG1ECq3jeJ1VFBtv0MtpvREMVjCawGgGYyRYOAA7UFFAR4MsBuRbgIkFNg4UPOjjQZ8ApkQwJYEpGcxbwbwNzClg2Q6WVLCkgTUdbDvAthNy5WJMFsRQMoplVAq1hmW0BquOY/XGSI3aEOEQ/xEFm3+pP2ZCCDWOOqVD9ZsxYex0lF/i2fFWYZVVE4nL85qF81xxQOILcQ5heHEa+6NNQmAPoxckTq5I9+cm70eefHHPb3n+MEdijW+f0N3147HEwdBcYMWThT7zJ7zOopAduS3htrPgHIuz7VfOkrrLneh/pGHKuTEcixkeCRWkt2cDs/VeM5PB+UIHZkirIqu139Bnvf0mySssRp+1tUFSUruE9Sc11YTPrUOf+KEDpIRLRB7pb3LWZTThXSme747XQ5VYn/jSQu4PeLFeXhBNyq5noufYzIoAZTT2HC9YFt6NXEL/j6FbQvB9eHa3ySvYRqzYX3nnZWB21IT1/GCGkLRwEOvyGwszfUwb8ly64K+yL+BdscEBUlX/Fd+47PMS37wZ33hsbpKsX8zBfs6bRbh8D3Kpsoe0fepGvqvzkenEw8juvX1k+nsC+hx9ukQWa4Yx5+dDPAmyXZjn2ak+0ljvQB7v7STrU/3I2UVv/R3MGcxztaPZaW8J109WeAKt2aXItp+p6dXqujzIyAAABAd6VFh0TU9MMSByZGtpdCAyMDI1LjA5LjYAAHicfVbLbh03DN37K/QDHpDiQ9Iii9hO7aKIDbROt10WAbrM/yOH0rVmAhC99mKG95A8fN//vv/7D/Ndic+fT398/1H2pz7dQU7/8z/GKH8LEd19LfFQHr48//5aHt8/P3xIHt++vb7/VbQVozL/fsV+fn/7+iHh8lju7TC3MazwIdoaa6GD5udUrQuooxHVck8HG/noCVICqYdQ7bWXCqB7owSoC8iuXafJrsRmCdICWQ/4du9gqd5qytIDyIcRWa2hUnmQZyxbIBGFd/GJHNStZjb7Qgq56IjvexfiBDhuLIm9WaiQMI+RIJluPH0YT2ir5GnoHBXig6p1PALpxMhohqwLObSTBhH0iqWxc5RIkEWk06HCqpGEBKjTpIo4il4PbYPTHLFNi16ZpQdL7ew5yygR6tL7aMGtUuuUdQe3ZRLpFI5kDeDycKJCelRvakDKIY6HNO9RIkNHSkNdYNOBqy1rd5reGyqkggf4HpwVvXJ5RTxDKnoXD4bIObVYAUR5xLnrfKitXkmWx5fnT7zhAjjNeVOOPBh1zmqEerxF9DrEZHZKV0mZGoCoYfXhsz9aH2irDOnlpdz70UePeUQnSeN0hJG7iWzoSp+FHzbc0gXSA4q90LjXFRFCkgw5FpKGdUwcmIp08yyp+H+JOjZqhplEXzXPmSIlLzNoF+8jugSJorSZpQaUYn7ERzBRrDpJ/cuCSjPBDsNEd2+cBSUKJFoPE0JrQsaclQRpQGItsmGS8T1j/DQF+jTZsGSw6GPzYEo9dR5lqkcsLogR+1DuufM+nXfFHaAIvWkfns2SjOndrQ1a+XT1njWe0kRieg1jNU/H4JY1nkaR/EAJFYsJdZUqrafIOiMyDAdaRLF5rEtGU+XmfDRkIW6IjbTrVGfkWLO9cWhgSVDq2lbNFYAZRUehPD1wUSBMpOKq1jCJpGo2w9qWyQFTFrOh1Sxt4y+vT7/c73XRH95en86Lju1S6nm341XO46whOk+wQmTnnQ3BOK+pQrRfG169tPMuxitfzp8Cwtszh/l+ATAvwd5x2GcMtQsi6AF2MRLsQ+KXUxMArLPLSeFQvWDaktTTFX6JTMkOHbeAw/yJqZGtkJzJ4xtm568G5XCIg/fb86dTLiEHtZ2eqgt5sTaZg1q/LNol2TmubUnO6LA3eVI7eU7mUL5sQbxC97LsUHOoXlZaJL9uPxJ8DZqX/cQop2wvEmwbNC/rhlE+OXuprZhl51T6TbLZy+QKrU1W6SbZbJVvkk1XZ5YHtC9jPCV6ndcl2YzVVqZ0U1a/STZnbTfJOQIzv5iJzVmDMwqqm7PRTbI5xxxepy7eP36D4/nuJ21aMvGNdlrvAAAFD3pUWHRTTUlMRVMxIHJka2l0IDIwMjUuMDkuNgAAeJx1VstqHUcQ/ZVAIMhkNNSrq6pbGALKwivZe6OFECYJJDgYQzb++JxqyXeG6xlxGWZa53S9Tlf1x3ePz/x88/Hd45vvz9tneX3V55v39zf382M+5svV9/7z/rdHtfubt+/fPPwIe7i8v/348Ouj7WzK7p3x/Onbza2v2ZPbIitpcCx3t21t3npfeFWL4LliPZZbWrmR98SKr+HEc6237s2wZiu7pdVaGnFrc416y7bcyqqarbaXtRN7FoyUuWftx7DZm9RiCPnk0qrkan0BMFOJ8mUxmprAu5Ze3vFK0pKLCpe4+VzqlmWUei+jspp491qJ7CTLna4ON3SB5Z5EwNgqHgZXdVU3+HLX1oB/0/nuJF77wJFCdGNECk4acrQgzrBEjsDhplnbeuOuteAtOheJ3BA3VggRyks+Owdi9dU5LIqmotGnf8I8k2nJXlFhayzNQK0zwwrsI2B4iJ1MFSHDQ0kUFCtCkbWPOXkgXWymPsO0rm2ptKVpMboKMQTQYGmmJlAMW3RFYuA5EI0MEjH41CrsiqCHgdKj9ekHKpCx4B9NX4oCfxwAQ+zYs1wObIJNvVG+lM2gr6IggzZL2xPBFMakVdmAUecsX1VCJ8ZgICpiYM3nEtSkLrNMlFW4klbv6pV2W40qmqkxojZxwp1etBgO2CyOZOmiNomXhJmH8OQFRR0QCZ8HxCBMgQ4E9XN/XQlOmdEhvOXN8vT18z8fvnz+d9D64enL17+e/r7/8+nLH59W+uVn8ztWlFRYo/TD+AFXlIfPXz+t0gZfsW5faTzzDM2oI2nUAbzQaMgJSxqOSBN3g4qVGMALi4eeeNihfRUh7RJ4A27z0IedeYg8uvTEOctSC4AXmo52YisNh4RSosGWA7aZyuHHpohRWEE6HArCYesC5IWXI05ozVBH1NKJhNLTgbzQ+sgTGoRIDT0DRTNNEQPyQovRjyMDznpxWdE7PYHb0iGDr+Xxak0kAqpjNCmlFq2AW8lo8LVAXs2lKyJqKHjT1ktIO4EwDz6RCOqsOPwtuwvSIgXcSmCDT0SCsBBUvLQotPICbvZ88KlM0J3Q1WmKRbMXciPG4GOlUIP6FaNEUQ1BU8hCbhlFwNdqOSfu1KJw9Vov58SdXhSunijmIMadYhj7HGvmyOJeNTnkuKkcEGUnG+1DjmVzRNzpxtBZzloL/rrgumDdQjDeCrnFaEOOhUOJjkKBKe0MVnor5OaqDrlWzjlx32Fg8UQ5GLkYOOjXOL8ibQI3T7HNsXC89+pMaiYY+hiABdx4MuSkzxjuUOAaVGDwM7SQ25nC54lurPKI6ZAciq7GBdx4qMWZbDATuHE1+o5LhBZwc7QPPVFNIi8uGMLIrXXXidyKjwFxopoD4l41MvRaNefEnWoMo+ZYNQZiYKZ49XA01SjgFiJ4J+0GHZ9q0EM20HnD3NSdaNDu9Fg0Cmm7wR6uLo4Z4wXcHG1Dj0VzwNuJxvB5Jhq0ioZejAHVlIOkkJujqMW1aF4NqmurG2fgbq0YGQXcDNrQa9F8P8AquBBbZNRExNAo5IWIMX9yf3FcRHB7D/GE1nwCt1PIw05uMBhmAS6ujRC4EMZ+QS/MNuxYM2zChLFL1VAxTrOAm0Eadi2Z8wvJTjP4Ou4zP1xJbC+YPuxaMKd3LdtfZoYdC+bH25btBCOx/Pd79Suxb/8DZcmpe8UfvxgAAAAASUVORK5CYII=", "text/plain": [ "" ] @@ -2565,13 +245,13 @@ "output_type": "display_data" } ], - "execution_count": 178 + "execution_count": 4 }, { "metadata": { "ExecuteTime": { - "end_time": "2026-10-30T11:30:59.970338Z", - "start_time": "2026-10-30T11:30:59.925648Z" + "end_time": "2026-10-30T11:41:11.857553Z", + "start_time": "2026-10-30T11:41:11.849161Z" } }, "cell_type": "code", @@ -2587,18 +267,18 @@ "{'score': 0.008208499862389881}" ] }, - "execution_count": 179, + "execution_count": 5, "metadata": {}, "output_type": "execute_result" } ], - "execution_count": 179 + "execution_count": 5 }, { "metadata": { "ExecuteTime": { - "end_time": "2026-10-30T11:31:00.966094Z", - "start_time": "2026-10-30T11:31:00.915591Z" + "end_time": "2026-10-30T11:41:11.895987Z", + "start_time": "2026-10-30T11:41:11.869351Z" } }, "cell_type": "code", @@ -2611,7 +291,7 @@ "outputs": [ { "data": { - "image/png": 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", + "image/png": 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"text/plain": [ "" ] @@ -2620,13 +300,13 @@ "output_type": "display_data" } ], - "execution_count": 180 + "execution_count": 6 }, { "metadata": { "ExecuteTime": { - "end_time": "2026-10-30T11:31:01.947766Z", - "start_time": "2026-10-30T11:31:01.920788Z" + "end_time": "2026-10-30T11:41:11.917433Z", + "start_time": "2026-10-30T11:41:11.909230Z" } }, "cell_type": "code", @@ -2642,12 +322,12 @@ "{'score': 0.951229424500714}" ] }, - "execution_count": 181, + "execution_count": 7, "metadata": {}, "output_type": "execute_result" } ], - "execution_count": 181 + "execution_count": 7 }, { "metadata": {}, @@ -2662,8 +342,8 @@ { "metadata": { "ExecuteTime": { - "end_time": "2026-10-28T16:18:12.220434Z", - "start_time": "2026-10-28T16:18:12.203607Z" + "end_time": "2026-10-30T11:41:13.064971Z", + "start_time": "2026-10-30T11:41:11.928887Z" } }, "cell_type": "code", @@ -2682,8 +362,24 @@ "default_septop_settings.protocol_repeats = 1" ], "id": "43fc256c3e0ff239", - "outputs": [], - "execution_count": 139 + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/Users/joshua/mambaforge/envs/openfe_dev/lib/python3.12/site-packages/Bio/Application/__init__.py:39: BiopythonDeprecationWarning: The Bio.Application modules and modules relying on it have been deprecated.\n", + "\n", + "Due to the on going maintenance burden of keeping command line application\n", + "wrappers up to date, we have decided to deprecate and eventually remove these\n", + "modules.\n", + "\n", + "We instead now recommend building your command line and invoking it directly\n", + "with the subprocess module.\n", + " warnings.warn(\n" + ] + } + ], + "execution_count": 8 }, { "metadata": {}, @@ -2700,8 +396,8 @@ { "metadata": { "ExecuteTime": { - "end_time": "2026-10-30T11:32:10.898883Z", - "start_time": "2026-10-30T11:32:10.323090Z" + "end_time": "2026-10-30T11:41:13.432983Z", + "start_time": "2026-10-30T11:41:13.074892Z" } }, "cell_type": "code", @@ -2785,7 +481,7 @@ ], "id": "4b08f0258bbdd052", "outputs": [], - "execution_count": 182 + "execution_count": 9 }, { "metadata": {}, @@ -2796,8 +492,8 @@ { "metadata": { "ExecuteTime": { - "end_time": "2026-10-28T16:18:28.893208Z", - "start_time": "2026-10-28T16:18:21.554588Z" + "end_time": "2026-10-30T11:41:20.392419Z", + "start_time": "2026-10-30T11:41:13.434816Z" } }, "cell_type": "code", @@ -2828,7 +524,7 @@ ], "id": "fcc7a807d6edc1a8", "outputs": [], - "execution_count": 141 + "execution_count": 10 }, { "metadata": {}, @@ -2839,8 +535,8 @@ { "metadata": { "ExecuteTime": { - "end_time": "2026-10-30T11:32:55.471534Z", - "start_time": "2026-10-30T11:32:55.433358Z" + "end_time": "2026-10-30T11:41:20.402716Z", + "start_time": "2026-10-30T11:41:20.394110Z" } }, "cell_type": "code", @@ -2863,12 +559,12 @@ " openfe.protocols.openmm_septop.equil_septop_method.SepTopProtocol: 6}" ] }, - "execution_count": 183, + "execution_count": 11, "metadata": {}, "output_type": "execute_result" } ], - "execution_count": 183 + "execution_count": 11 }, { "metadata": {}, @@ -2885,13 +581,14 @@ { "metadata": { "ExecuteTime": { - "end_time": "2026-10-30T11:33:54.755101Z", - "start_time": "2026-10-30T11:33:54.719436Z" + "end_time": "2026-10-30T11:41:20.428842Z", + "start_time": "2026-10-30T11:41:20.414091Z" } }, "cell_type": "code", "source": [ "from collections import defaultdict\n", + "import json\n", "\n", "import numpy as np\n", "from openff.units import unit\n", @@ -3001,7 +698,7 @@ ], "id": "27d647049e330837", "outputs": [], - "execution_count": 184 + "execution_count": 12 }, { "metadata": {}, @@ -3020,8 +717,8 @@ { "metadata": { "ExecuteTime": { - "end_time": "2026-10-28T17:38:44.786590Z", - "start_time": "2026-10-28T17:38:39.810431Z" + "end_time": "2026-10-30T11:41:24.782669Z", + "start_time": "2026-10-30T11:41:20.436182Z" } }, "cell_type": "code", @@ -3398,12 +1095,12 @@ "" ] }, - "execution_count": 161, + "execution_count": 13, "metadata": {}, "output_type": "execute_result" } ], - "execution_count": 161 + "execution_count": 13 }, { "metadata": {}, @@ -3420,8 +1117,8 @@ { "metadata": { "ExecuteTime": { - "end_time": "2026-10-30T10:32:11.101280Z", - "start_time": "2026-10-30T10:32:10.360299Z" + "end_time": "2026-10-30T11:41:24.991799Z", + "start_time": "2026-10-30T11:41:24.785983Z" } }, "cell_type": "code", @@ -3647,12 +1344,12 @@ "" ] }, - "execution_count": 167, + "execution_count": 14, "metadata": {}, "output_type": "execute_result" } ], - "execution_count": 167 + "execution_count": 14 }, { "metadata": {}, @@ -3663,12 +1360,14 @@ { "metadata": { "ExecuteTime": { - "end_time": "2026-10-30T11:10:01.251639Z", - "start_time": "2026-10-30T11:09:59.615343Z" + "end_time": "2026-10-30T11:41:26.783378Z", + "start_time": "2026-10-30T11:41:24.994077Z" } }, "cell_type": "code", "source": [ + "%matplotlib inline\n", + "%config InlineBackend.figure_formats = ['svg']\n", "import json\n", "from gufe.tokenization import JSON_HANDLER\n", "from cinnabar import plotting\n", @@ -3705,18 +1404,26 @@ ], "id": "4401ca21e5bd73c9", "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/Users/joshua/mambaforge/envs/openfe_dev/lib/python3.12/site-packages/matplotlib_inline/config.py:59: DeprecationWarning: InlineBackend._figure_formats_changed is deprecated in traitlets 4.1: use @observe and @unobserve instead.\n", + " def _figure_formats_changed(self, name, old, new):\n" + ] + }, { "data": { "text/plain": [ "
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bNk1hvcOHD8PCwgIdO3ZE27ZtYWNjozQOkZCQAAcHB4Wp0YsiK3xU8IuvaduLcvHiRQAotmRpjx494OLiojDArqmzZ88q7eOnXz///LNGbXp4eOD27dsKyy5fvgwgv1aETEpKinz676ZNm6JGjRrIzMyEnZ1doXUjZMfkwoULGvVJU1QPgpBSwMTERP7LICUlBadPn8b3338PW1tbTJ8+HQCQlZWFf/75B76+vvLqeF27dkVERATS09MVBnk1qcmwc+dO1K9fX2GZi4uLtrtULNmlMVU1vAuSVZT76aefMGfOHE7batasGa5cuVLkOtWrV9eozfHjx2P8+PH47rvvMGHCBLx48QJTpkyBjY1NoeHs4OAAqVQKkUgExlihPyfZMSmuVoe2KCAIKQUEAoFC8aGuXbsiMzMT8+bNw+jRo2FnZ4cTJ04gKysLnTt3lhe679y5M/744w8cO3ZMfjmqUqVKuHz5MqRSqVpnEZoUPuJTVlYWACiUgi3M2LFjERISorKinDoKVoIrjKbjLGPGjMGdO3ewaNEifPvttzAyMkJQUBDOnz+vcLnKzs5OfkZx9uxZ+fLU1NRCCwvJjonsGOkKXWIipJRq1qwZsrOz8fDhQwD5l5eA/Ipj1tbWsLa2xldffQVA8XZXHx8f5OTk6Pz6tbZkhXE+rfanSsGKclzo4hKTSCTChg0bkJiYiNu3byMhIQFLlizBvXv30KRJE/l6derUwaNHj5TGOB48eIA6deqobFt2TGTHSFfoDIKQUurBgwcAAHt7e0ilUhw5cgSNGzfGhg0bFNabOnUqjh49itzcXBgbG2PkyJFYs2YNVq1apfSwXVZWFuc7mfgm++X4+PFjtQbUJ06ciA4dOqB27doab0sXl5hkbG1t0aBBAwDA9u3bkZKSgsGDB8tf79atG3755RecPHlSfifT7du3ER8fj6+//lplm48fPwaQXyNblyggCCkFGGOIjY0FAKSlpeHSpUv44Ycf0LlzZ3h4eODcuXNITEzEjBkz0LZtW4X3Dho0CDNnzsTZs2fRpUsX1K1bF4sXL8a8efPAGMPw4cMhlUpx/vx53LlzR+kyjaqnsY2MjBQuO509exbv37/HkydPAABXr16FlZUVAKBfv36c9rlFixawsLBAbGws+vTpU+z67dq1Q/369XHnzh24ublptC1ra2veL6O9e/cO69evR7t27WBqaopTp05h5cqVGD16NFq3bi1fb8CAAVi+fDnGjh2L1atXw8TEBHPmzEH16tUxZswYlW3HxMRAKBQWe4eX1nT+pAUhRCsjRoxQqKxnYmLCateuzWbNmsXS0tIYY4zNmDGDAWD//vuv0vufPHnCALCvvvpKYXl4eDhr06YNs7S0ZFZWVqxJkyZs27Zt8tdlD8qp+rK1tVVoq0OHDkVWAtRm32vVqqXyNU0qyulDUlIS69SpE7Ozs2Ompqasbt26bPXq1QoPzsm8ffuWDRw4kNnY2DArKysWGBjInjx5UmjbrVu3Zj169NBl9xljVFGOEGLAbty4gaZNm+L8+fNo06aNvrtjEB49eoTatWvj+PHj8Pf31+m2KCAIIQZt6NChSE5OxrFjx/TdFYMwYsQIvH79GidPntT5tuguJkKIQVu5ciV8fHyUZnMtjyQSCWrVqlViU4vQGQQhhBCV6AyCEEKIShQQapAVJhEIBDA2Nkb16tUxbNgwhQm3oqKiVBZpSUlJgYmJiVIRlUuXLiEgIADOzs6wtLREnTp1MGbMGLx8+VK+jiYFWwwdnwVlTp8+jUGDBqF69eowNzdHzZo1MWXKFCQlJSmtGxMTAz8/Pzg6OsLOzg6tW7dGRESEFnui+LMWCAS4evWq0jrqFIop7Oerj6eWC8N3ISB1C+OoW2iHb7osfPTVV19BIBBgwoQJnNe7evWqwmclKiqKt/6pQgGhJh8fH8TExOD06dOYOnUqIiMj4e3tjefPnyusZ2tri/3798u/P3ToECwtLRXW+eeff9CmTRtIpVJs3rwZhw8fxvjx43H9+nX5AzAFqVOwxdDxWVBm27Zt+PDhAxYsWIDjx49j9uzZ2LdvH1q3bo3MzEz5evfv30eXLl2QmZmJnTt3Yt++fXBycsLnn3+uMN0yVxs3bkRMTIzS067qFoqROXjwoMLPtuAvpdzcXEyePBl2dnZwdXXFzp07te63Jvj8ualbGEfT48cnXRU+unTpEsLDw7Ver06dOoiJieH8xLjGdH4jbRmg6n7rHTt2MADyoh1nzpxhANjw4cOZl5eXfD1/f3/5feyyIiq+vr6sevXqLDc3V2lbOTk58v/XpGCLoeOzoMx///2ntGz//v0MAPv555/ly5YuXcoAsOfPn8uXZWVlMTMzMzZixAjO25f9rM+cOaPydXULxch+vk+fPi10W8uXL2ceHh4sMjKS7dixg1lYWLCrV69y7rum+Py5qVsYR93jpwu6KHyUm5vLGjZsyDZv3swAsPHjx2u1HmPFfwb5QmcQHLVs2RIA8PbtW4XlXbt2xbt373D79m0kJSUhKipK6UnS169fw9HREUZGyg+yy+aL5+r+/fu4f/++Vm3oAp8FZZycnJSWyaYyKFgcRyKRAIDCLKZmZmYwNTXlrS+qqFsoRh3nzp3DlClTEBAQgFGjRqFbt24KE7oVhq/PAZ8/N3UL4/B5/DSli8JHq1evhkgkwpdffsnLeiWJAoIj2fXQT+dCMTY2xueff479+/fj4MGD8PHxgbOzs8I6TZs2xZUrV7BgwQKlS1SqaFKwpU6dOoVO8FWWxcTEAIDCJGjDhw+Hra0tZs2ahYSEBCQlJWHBggWQSCSYMmWKzvqibqEYmVatWkEkEqFSpUr48ssvFSan8/T0xMGDB5GQkICbN2/i/Pnz8PLykr8eFxeHhIQEpTYN8XOgbmEcTY+fIXv69CkWL16MH3/8sciZc9Vdr6QZTk8MHPv/ilPZ2dm4ceMGZs+ejXbt2mHs2LFK6/bv3x/79+/Hvn37lCp+AcDy5cvRtGlTLFmyBO7u7nB3d8c333xT6IdfXwVbSoukpCTMnz8fPj4+8PPzky+vUaMGLl68iHPnzsHFxQWOjo7YunUr/v77bzRt2lRn/VG3UIyLiwuWLFmCXbt24cSJE5gwYQJ+/fVXdOzYUX6tfe7cucjJyYGLiwuaNGmC/v37o3nz5li3bh1atGiBSZMmKdzYYMjULYyj7vErDSZOnIi+ffsqzL2kzXoljSbrU9OJEycU/qrx8/PDoUOHVM582bVrVyQmJuLp06fYs2eP0j/gqlWr4vLlyzh79iyOHDmCs2fPYv369QgLC8PRo0fRoUMHhfU1KdjCytljLbm5uRgwYABycnKwd+9ehQIrz549w+eff44aNWpgzZo1MDY2xq5duxAQEICjR4/qbOoGdQvF+Pv7K0yV4Ovri5o1a2LEiBHYu3cvRo4cCXt7e1y4cAH//vsvTp06hb///ht+fn4YOHAgDhw4AFdXV5V9MPTPQVGFcbgU2jFEv/32Gy5evCifdVfb9fSh9BxtPWvVqhWuXLmCc+fOYdq0aThx4kShlymMjY0RFBSESZMmoVKlSirXEYlE6Ny5M9asWYNr167h8uXLEAqFKs8MZAVbCn5VqVKF1/0rjRhjGDlyJC5fvozIyEi4u7srvD5v3jykp6fjzz//REBAALp27Ypff/0VHh4e8ipsujBmzBhMnjwZixYtgqOjI1q0aIHPPvsMDRs2LHb+/r59+0IgEMinnk5ISMCXX36Jfv364dmzZ1iyZAnGjRuHDRs2oGHDhvjmm2/kYy2G7tPCOHFxcTA1NVUqjKPN8TMUGRkZmD59OoKCgmBtbY2PHz/KizhJJBJ8/PgRUqlU7fX0RqdD4GWEqruYhg0bxgQCAbt8+TJj7H93Fezdu1fp/ereEdGnTx9WoUIF+fdl6S4mGT7vDpk8eTIzMzNjp06dUvl6nTp1WPv27ZWWjxo1ipmbm3Perrp3kHz48IHdvn2bJSYmstzcXFahQgU2efLkIt+TkZHBBAKBfObV9PR0duLECZaXl8cYYyw6OppZW1uz3bt3s6NHjzIvLy+2fPlyzvuiLj5+bsOHD2e2trZMKpUqLPfw8FD698UYt+PHF2339+nTp4XObiv7unLlitrrfYruYjJwy5cvh6mpKRYsWKDxe1UNKkqlUjx+/LjY+rvFMdS7mDRV3H7MnTsXW7ZsQXh4ODp37qxynQoVKuD+/fsKZRkZY7h586bKO6H4JisU4+DggJ9//lmpUIwqhw8fBmNM/iCklZUVunbtKr+0cunSJXTt2hXDhw9H9+7dMXHiRJw/f16pHX19Dorabrdu3ZCamqowyZysME5AQIDS+pocP9nDrKoeutOlwvbXxcUF586dU/oCgM8//xznzp2Dl5eX2uvpC41BcFS5cmWMHz8e69atw6VLlzR67+jRoyEUCtGvXz/UqFEDycnJ2LFjB27duqXyARh1CrbIyO5cYQZ2DVrTgjJF7cfKlSsRGhqKGTNmwNHRUV5IB8i/BbZmzZoAgK+//hqDBw9GYGAgpkyZAhMTE+zevRs3btzA6tWred9HGXULxfj6+qJz585o1KgRzMzMcPHiRaxYsQLe3t4YOHCgyrZbtmyJxYsX4+eff4ajoyM2b96M4cOHK63H1+eAz5+buoVx1D1+Bckuw6i6dVwf+2tqaqpUuEnG2dlZ4TV119MLnZ6flBGqLjExxlhCQgKzsLBg3bp10+gS0+HDh1nv3r2Zm5sbMzU1ZRUrVmTt27dnhw4dUnifJgVbZGSvGxpNC8oU9VpRbX36AFxkZCRr164ds7e3Z7a2tqxFixZsz549Wu1Lcaf36haK+frrr1nNmjWZpaUlMzIyYtWrV2dBQUEsPT29yO3/+OOPrEqVKsze3p5NmjRJ4eFKGb4+B3z+3BhTrzCOJoV2ZOsLBALWtm1b7jv6//jeX1XrF/UAnLrrldQlJprNlRANRUVFoVOnTjh58iQ6dOig9V+tRDuHDh1Cnz59cOzYMXTr1k3f3dE5iUQiLx975swZnZYdpTEIQjjq0qULjI2NVU7WR0rO2bNn0bRp03IRDlevXoWxsTG6dOlSItujMwhCNJSenq5wz3rdunVhYWGhxx6R8iIzMxNxcXHy7z09PRWmkuEbBQQhhBCV6BITIYQQlSggeKJJwaCOHTuqvLe5Z8+eCk8DU8GgwqlbeEYXBWDKU8EgdY+zutQt4CSRSLBq1SrUq1cPZmZmqFixIrp166bzutR8f17UbU/d40IFg0o5dQoGaYoKBilSt/AM39v9VFkvGKTJcVaHJgWcxowZg7lz5+Lzzz/HsWPHsG3bNnh5eSE3N5ev3VOJ78+LOu1pclyoYFAppUnBoA4dOjBPT0+lNnr06MHc3Nzk35elqTb0UXiG7+3KlJeCQZocZ3WoW8ApOjqaAWAbNmzQqv9c8P15Uac9LoWtaKqNUkqdgkG6ZKhTbeij8Azf21VXWSkYpMlxVoe6BZx+//13WFpaYty4cRx7zh3fnxd12tNXYSt1UEDwTJ2CQZqigkGK1C08oy9lpWAQ38dZ3QJON2/eRN26dfH777/D3d0dRkZG8PT0xM8//6zV/hgqfRW2Ugc9AqoD/fv3x9SpU+Hq6qqyYJCmVM3HMnv2bCxbtkzrtkujlJQU+WB+06ZNkZycjPj4eKXCM/qiacEgb29vGBkZITo6GitXrkRsbCyuXLkCU1NTzJ07Fz179pTX//jqq6/kBYP27NkDCwsLrFy5Uus/QlTh+zjLCjj16dNHvj+VKlVSKuCUmJiItLQ0+We8atWqCAsLw8iRI+Hs7KxQQ6MsUPe46AMFhA4UVzBIU1QwqHBFFZ7Rl7JYMIiP46xuASepVIqEhAT88ccf6NOnD4D8O/9kkxmWtYDQV2ErdVBA6ICsYNC7d+9QqVIlpYAo6h+XqopZsoJBJN+nhWdkPi08oy9jxozBnTt3sGjRInz77bcwMjJCUFAQzp8/X+wv7r59+2LkyJG4cuUKRo4ciYSEBMyfPx8XLlxA9+7dsWTJEly8eBHfffcdli9fjhEjRmD16tU6mQ+K7+NcsICTmZkZgPzpSpo3b47p06fLZ0W2tbUFAIVp3GWzFxecubesUPe46AONQejI3LlzsW7dOpWvWVhYqBxDkEqlNGWDGurUqYNHjx4p/bJ98OCBQYy/iEQibNiwAYmJibh9+zYSEhKwZMkS3Lt3D02aNCnyvbI/HmT/tbKywoABA3D37l2sXr0aHz9+RHBwMJYvX469e/fixIkTWLNmjU72g+/jfOPGDXh6esp/CQL5+9moUSPcuXNHvqx27doq388YK1UlR9Wl7nHRh7J3tEuB6tWrIyEhQeGeeMYYnjx5gurVq2vVtqHexaQpPgvP6EtpLxjE5TgXtV11CzjJ7po6ffq0fFlubi6uXr2qdKlVxtAKBmlC34WtikKXmPRg7Nix2LZtGwICAjBp0iSYmJjg559/xsOHD/HDDz8orU8FgxSpW3iGy3b5UFYKBmlynNXZrroFnIYMGYJly5ZhwoQJSElJQdWqVbFt2za8evUKe/fuVbldQysYpEl7+ipspRadPmVRjmhak/rKlSssICCAOTk5MTs7O9ahQwf2zz//KLyPCgZpV3iGy3bVUZ4KBql7nNXdrroFnF6+fMkGDhzIKlSowExMTFiTJk3YH3/8obJNQy4YpG57mha2ooJBhBgoKhhkWKhgUEedbYvGIAjhiAoGGQYqGKQ7dAZBiIaoYBDRFyoYRAghxCDQJSZCCCEqUUAQQghRiQJCD2QP9QgEAhgbG6N69eoYNmyY0kyfp0+fxqBBg1C9enWYm5ujZs2amDJlCpKSkvTUc+74rkymbsUxdSq7aYoqyj3j1JYm+6tuhTW+8bm/Bf+df/r16YC6up/Tkq4oZ3g3zJcDbm5uzMfHh8XExLDo6Gi2du1aZmdnx2xtbdmzZ8/k6w0aNIj5+/uzHTt2sKioKLZlyxZWsWJFVrt2bZaRkaHHPdBMbm4ua9iwIatatSrbv38/+/PPP5mXlxerXr06+/jxI6c2v/jiC2ZsbMyCg4PZ6dOn2eHDh9k333zDkpKS5OucOnWKAWD9+vVjx44dY1u3bmX29vbM09OTZWdnc94f2T3oGzduZDExMUr7oO52Zc+5HDx4kMXExMi/7ty5I19HLBazr776itna2rJq1aqxHTt2cO63pvj+uamzv4wx9u+//zILCwvWpk0b9tdff7Hjx4+zzz77jAkEAvb333/ztXtK+N7f69evK+xnTEwM27JlCwPANm3aJF9Pk8/px48fWUxMDNu4cWOJPAdBAaEHbm5uzN/fX2HZjh07GAAWEhIiX/bff/8pvXf//v0MAPv555913k++8F2ZTN2KY+pWdtMUVZTj9nNTZ38Z41ZhjQ98768qkyZNYmZmZiwlJUW+jMvnlCrKlTMtW7YEALx9+1a+TNU8LA0aNAAAvHnzRmU7hjgXE9+VydStOMZnZTdNUEU57eirwpqu9zcrKwu//fYbevfurTAbrr4+p+qggDAQsuuNdevWLXK9mJgYACh0VlBDrCjHd2UydSuOaVrZjS9UUa5oRe0voL8Ka7quVHjgwAF8+PABo0aNUliur8+pOmiOAD1hjMnLh/7777+YPXs22rVrh7Fjxxb6nqSkJMyfPx8+Pj7w8/Mrwd5qh+/KZOpWHFO3shvfqKKcaursL6C/Cmu6rlQYFhYGV1dX+Pr6KizX1+dULTq9gEVUcnNzU5q4y8/Pr8iBZ7FYzDp37swcHR2LvYZraDw8PFiXLl0YY4y1b9+e1alTh2VnZ7MhQ4YwGxsbTu0BUJi8LTc3l1WrVo117txZvkw2ILh06VKWmJjIrl+/zurWrctsbGyYp6cn5/0p7vqvNtv9+eeflSZ2lEql7N69e2z9+vWsR48erFGjRuz7779XuEavC3z/3FRRtb9Pnz5lHh4ezM/Pj0VGRrITJ07It3n+/HletquKLvf3wYMHDACbP3++0mtcPi8lNQZBAaEHbm5urFWrVuzKlSvs3LlzbNq0aQwAGzNmjMr1pVIpGzJkCLOysmKXLl0q4d5qr3nz5qx58+ZKy3v06MFcXV01bq9Zs2YMgMJAH2OM9e7dm7m4uMi/l0gkbPLkyczIyIgBYEZGRmzOnDmsbdu2rE2bNhpvV6a4f5zabPfjx49MIBCwSZMmMcbyZ1MdO3Ysq1OnDps+fTq7fv06+/HHH5mLiwuztbVlU6ZMYbm5uZz3pSh8/9xU+XR/GWNsyJAhrFKlSiwrK0u+TCqVsqZNm7IWLVrwsl1VdLm/M2fOZAKBgD1+/FjpNS6fFwqIMkzVXUzDhg1jAoGAXb58WWn9yZMnMzMzM3bq1KmS6iKvhg8fzmxtbZlUKlVY7uHhoXQc1DF48GCVAdGrVy9WpUoVpfU/fPjAbt++zRITE1lubi6rUKECmzx5ssbblVH3HyeX7WZkZDCBQMC++uorxhhj6enp7MSJEywvL48xln8Hl7W1Ndu9ezc7evQo8/LyYsuXL+e8L0Xh++emyqf7yxhjderUYe3bt1dad9SoUczc3JyX7aqiq/0Vi8WsUqVKrEOHDkWup8nnhe5iKmeWL18OU1NTLFiwQGH53LlzsWXLFoSHhyvU6C2MId7FxHdlMk0rjnGp7MYHqihXvE/3F+BWYY2PinK62t+IiAi8e/cOo0ePLnI9fX1Oi6TT+CEqqTqDYIyxb775hgFgsbGxjDHGVqxYwQCwGTNmKD1wEx8fr7JtGGDBINkDSK6uriw8PJz9+eefrE6dOkU+gFTUfmRnZ7PatWszJycnFhYWxo4fP8769u3LALBz587J10tISGBz585lx44dY6dPn2bz5s1jJiYmbPTo0VrtT3F/vam73c6dO7OlS5eyiIgI9s8//7CQkBBmaWnJvL29mVgsVtm27Axi165d7MiRI8zLy4t99913Suvx8Tng++em7v7KngHw9fVlf/75Jzt27Jj8rHH16tUq265WrRoDwF6+fGkw+yvTvXt3Zm1tXWgbXD6ndImpDCssIBISEpiFhQXr1q0bY6zoalSFPTBkiAHBGP+VydSpOKZuZTdNUUU5bj83TfZXkwprfFaU08XnVCgUFjq+yBi3zylVlCPEQFFFOcNCFeU66mxbNAZBCEdUUc4wUEU53aEzCEI0RBXliL5QRTlCCCEGgS4xEUIIUYkCQg9khVO0uWe7tOG7YJA6BWX++usvdO7cGc7OzjA1NUX16tUxbtw4vHr1Sqt9oYJBzzi1pUkBHXULQvFNH59TTdajgkHlgLrz4pcVfBdiUbegzE8//cSmTJnC9u7dy86cOcN27drF3N3dWeXKlVlycjLn/aGCQbotoMOYegWh+Kavz6kmBZKoYFA5UN4Cgu9CLNoUlPnnn38YALZ9+3aNtytDBYN0W0BH3YJQfNPX55TL55mm2ijFBAIBFi1ahJ07d8LLywumpqZwdXXFX3/9pbDe8+fP0aNHD1hZWcHNzQ0//PCDUlvXrl2Dn58frK2tYWFhgfbt2yM6OrrQbRviVBt8F2LRpqCMra0tgPypOXSFCgapp7ACOuoWhOKbvj6n+iqQpA4KCB2JjIzEsmXLMGfOHBw9ehRTpkzBx48fFdYZN24cunfvjkOHDqFly5aYPn06YmNj5a/Hx8ejQ4cOSEhIwM6dO7F3715IJBJ06dIF165dU7nd8lAwSNOCMnl5ecjOzsbNmzcxbdo0VKpUCX369NF6vwpDBYPUU1gBHXULQvFNX59TfRVIUotOz0/KKQDM1taWJSYmqnxddmlh/fr18mXp6enM2NhYYb74r776iolEIoVTz+TkZGZhYcH69+9f6LYN7cdacJ79evXqMRcXF5aRkcGGDh3KrK2tObV579495unpKd/fSpUqFVoroGXLlvL1mjVrxl68eMF5Xxgr/vS+adOmrGHDhgrLTp48yQCwWrVqyZcdP36cLVmyhB0/fpydPHmSLViwgJmbm7MGDRrIxyqSkpJYq1at5P3/6quv2Lt379jatWuZt7c369Chg8oZgPn4HOji51ZQ+/btmaurq3ymWpnatWszZ2dnVqlSJbZz5072zz//sIEDBypd/uGbPj+nmnyeGaNLTKVeYGAgHBwcilynffv28v+3srJCpUqVFGpSx8bGol69enB1dZUvq1ChAlq3bq1wplEQyx9X0rL3uuPg4AA7OzuIRCIwxiAQCDRu49mzZ/j888/h5uaGyMhInDhxAr6+vggICMCFCxeU1t+1axdiYmKwc+dOpKWl4bPPPkNSUhIfu6PS+PHjcfv2bXz33XdISkrCjRs3MGXKFNjY2MhnZQUAf39/fPvtt/D394evry9CQkLw008/4c6dO9i7dy8AwN7eHhcuXMC9e/ewfv16PHv2DH5+fsjMzMSBAwcQFRUFb29vpT7w/Tng4+dW0MOHDxEdHY0RI0YoHBMAkEqlSEhIwKZNmzBy5Eh06dIFv/76K6pVq4YVK1ZotV11leTnVNPPc4nSafyUUwDYvHnzCn29sMFJNzc3hUGpmjVrsk6dOim9f9CgQczKyoqv7uoc34VYtCko8+LFC3lBFq6oYJBuC+ioWxCKb/r6nHL5PNMZRCnHxwRudnZ2SExMVFqemJioMKhn6OrUqYNHjx4p/UX74MEDTtfJb9y4AU9PT5iZmcmXCQQCNGrUCHfu3CnyvdWqVUOVKlVw8+ZNjberLpFIhA0bNiAxMRG3b99GQkIClixZgnv37qFJkyZFvlf2l6rsv1ZWVhgwYADu3r2L1atX4+PHjwgODsby5cuxd+9enDhxAmvWrNHJfvD9c5PJzc3F7t270b59e9SoUUPp9dq1a6t8H2NM6WyDT/r6nGrzedY1CggD1rJlS8TFxeHFixfyZSkpKbh48aJCgZWCDPEuJr4LsahbUObTf+gA8OLFC7x69QqVK1fmujtqo4JBqhVXQEfTglCAYRYMUvdzyqVAUonR6flJOQWALVy4sNDX1b3E9ODBA2ZhYcEaNGjAwsPD2eHDh1mrVq2YkZGRyoFJ2bYN7cfKdyEWdQvKtG7dms2ZM4cdOHCAnTlzhm3dupV5eHgwCwsLdvPmTc77QwWDdFtAR92CUAUZYsEgdT+nXAokUcGgUoyvgGCMsUuXLjFfX19maWnJzM3NWZs2bdjp06eL3LahBQRj/BdiUaegzKJFi1jLli2Zk5MTMzExYW5ubmzQoEEsLi5Oq32hgkG6LaAjW6+4glAyhlwwSN3CR5oUSGKMCgYRYrCoYJBhoYJBHXW2LRqDIIQjKhhkGKhgkO7QGQQhGqKCQURfqGAQIYQQg0CXmAghhKhEAUEIIUQlCghCCCEqUUAQQghRiQKCEEKIShQQhBBCVKKAIIQQohIFBCGEEJUoIAghhKhEAUEIIUQlCghCCCEqUUAQQghRiQKCEEKIShQQhBBCVKKAIIQQohIFBCGEEJUoIAghhKhEAUEIIUQlCghCCCEqUUAQQghRyUjfHSgLpFIp3rx5A2trawgEAn13hxBCCsUYQ3p6OipXrgyhsOhzBAoIHrx58wbVqlXTdzcIIURtL1++RNWqVYtchwKCB9bW1gDyD7iNjY2ee0PKq9DQUPn/BwcHF7uc6B5jDCkpKUhMTISJiQlMTU2LXV/VVQipVIqUlBR8/PgR5ubmxf7l/ymxWIxvv/0WzZo1Q8+ePeHv7y//vVUUCggeyH6gNjY2FBBEb8zMzOT/X/BzWNhywh+JRAIjIyNIpVL5L29ZOGRnZ8PBwaHYcACA9PR0pV/cUqkUycnJYIzByclJ43AAgMjISFy8eBHXr19Hp06dAECty+E0SE0IIVr4+++/MWnSJLx+/RpCoRBSqVQeDv/99x9MTU3VCofTp09j8uTJyMjIAGMMwP/CIT09HRYWFpzCAQACAgIwceJErFu3DhUrVlT7fRQQhBDC0eXLlzFs2DBkZGTg22+/xatXryAQCJCUlKRROJw5cwZr1qzBmDFjYGlpCYFAoHU45ObmQiqVAsg/Wxg/fjxatmypURsUEIQQwpGdnR1CQkKwcuVKuLu7Y+7cubh79y4SExNhbGys1pjD27dvMXHiRIwYMQLt27fHu3fvEBMTg9OnTyMxMZFTOIjFYkyfPh0hISHykOCCAoIQQjhgjKF27doYO3YsKleujOHDh6Nq1aqYN28ekpOTYW5ujoyMjCLbEAgEcHFxwYQJE7Bnzx7Exsbiyy+/RHh4OJYsWYK//voLHz9+1Lhvt27dwoULF3D8+HE8fvyY6y7SIDUhhKir4F1Gsv9mZ2fD2NgYdnZ28PX1RVZWFrZt2wZHR0dkZWVh1qxZMDJS/atWNqg9depUCAQCDBkyBFOnTkVgYCDevn2L7777Dp6enmjdurVG/fT29kZoaCjs7OxQq1YtzvtLAUEIIWqShUJ4eDgaNWoEOzs7+Pn5Yf369ahYsSJq1KiBadOm4YsvvkBERAR+++23QsNB1l5eXh5EIhG+/vprNGrUCG5ubrCwsECtWrXQsGFDpKWlqdU3sViM3NxcWFpaAgD8/f213l+6xATg/PnzCAgIQIUKFWBubo5atWphyZIl+u4WIcQAvXv3DllZWdi/fz8CAgIwePBgVKxYUf6cw6lTp/Dw4UOEh4ejfv36Su9/+/Ytnj59CiA/IEQiEcRiMZKTk+XhIBQKERERgQsXLqhs41NisRhBQUGYNGlSsZe1NFHuzyB+++03DB8+HAMGDMDu3bthZWWFx48f482bN/ruGiHEwOTl5aFSpUqoV68eli5dinr16qFx48byu5Vev36Npk2bYv/+/ahRo4bS+48cOYK1a9fC3NwcTZo0ga+vL1q3bo20tDR8+PAB1tbWkEqluH79OrZv345Vq1YV+7QzALx69Qo3btyAWCxGfHw8GjVqxMv+luuAeP36Nb788kuMHz8emzZtki+XPUhCCCEFiUQivHnzBqNGjcLAgQNha2uLCxcuoEGDBti/fz/Wr1+P48ePw8nJSem9srOOVatWoUGDBti6dSvOnTuHZ8+eoU2bNrC2toZQKIREIkGjRo2wfft2ODg4qNWvGjVqYMuWLUhPT+ctHIByHhBhYWHIyMjA7Nmz9d0VQkgpkZGRgVGjRqF79+748OEDKleujL///hu7d+9GWFgYrKysCn1vVlYW0tLSIBKJ8MUXX2Dfvn24d+8eHBwc0LJlS1y7dg0nTpzA7Nmziw0H2WUpZ2dnAEDdunV53U+gnI9BREdHw97eHvfv30fjxo1hZGSEihUrYsKECUUODOXk5CAtLU3hixBS9jHG4ODggO7du8PU1BSurq44evQo1q5di9WrV8PLy6vQ95qbm2Po0KHYt28f7ty5g6ysLPj4+MDW1hZnz54FADRr1gyjR48u9rkH2ZjDyJEj8erVK173saByHRCvX79GZmYm+vfvj4EDB+LkyZOYOXMmdu/ejYCAAPnj7p8KDQ2Fra2t/ItmciWk7FM1fUZERASWL1+OdevWwdPTU2n9TzVu3Bht27bFL7/8ghs3bsDBwQGjRo3CgwcP8Pr1awBApUqViu3Lx48f8fLlS6SkpODt27f87KAKZSYgoqKiIBAI1Pq6efMmgPx7kLOzszF37lwEBwejY8eOmDlzJkJDQ3HhwgWcOnVK5baCg4ORmpoq/3r58mUJ7ikhpKQVNrdSvXr18PPPP6N27dpK75HdEhsREYHHjx8jOTkZEyZMgEQiga2tLX755RdcuHABJ06cQFZWllqzq8rY29tj69at2LRpE7y9vfnZSRXKzBiEp6cntm3bpta6rq6uAAAHBwc8evRI6X7h7t27Y+rUqbh+/Tq6dOmi9H5151chhJR+RU28p+pOpYLev3+P7OxsRERE4NixY/j888/Rtm1biMViXL16FX/88QcEAgHmz59f7Ey7YrEYT548kV/GcnJyUjkYzqcyExAuLi4YO3asRu9p2LAhYmNjlZbLTg25zpxICCkbuMzKKpOXlwcnJyd4enpi3bp1qFWrFurXrw8LCwtYWVnBx8cHfn5+yM3NhbGxcZFtycYcYmJiMGzYMNSoUQOBgYHa7l6xyvVvwL59+wIAjh07prD86NGjAAAfH58S7xMh+hIaGoqlS5cqFBgqz7QJByD/ltiEhARMmzYNgYGB8PHxwbVr1yAUCvHnn39i+PDhSEtLK/JJ64J9kUgkYIwhLy8PeXl5XHcLOTk5aq9bZs4guPDz80NgYCAWL14MqVQKHx8fXL16FSEhIejZsyfatm2r7y4SUmLEYjEAaPXLp6zQNhxkMjIy0L9/f/j7+yMjIwMODg44c+YMDhw4gNWrV6tdwMnU1BQ//PADwsLCUKVKFU59AfLnjdJEuT6DAIB9+/Zh6tSp2Lp1K7p3747Nmzdj2rRpOHDggL67RgjRA77CQSqVwtbWFv7+/rCwsEClSpVw6tQpbNu2DQsXLoSHh0eR7xeLxTh37pz8e1NTU63DQSAQwN7eXu33lOszCCD/3uRly5Zh2bJl+u4KIYSD0NBQ+YR32tbc5jMcPi32c+LECfz4449Yu3YtatasWeT7c3NzERQUhOjoaMyfP19+OZwrWTg4ODhAIpGo/b5yfwZBCCndxGIx8vLy5JfIuNJlOAD5d1quX7++2HAAACMjI7i5ucHU1FStuZiKUjAczM3NNXpvuT+DIIQQXYcDALi5uandjkAgwPTp09GvXz+N3vcpbcIBoDMIQkg5VxLhoA6xWIzw8HCFOtL6DAeAziAIIeWYoYQDYwyzZs1CVFQUnj17hpkzZ3Lqhwwf4QDQGQQhpJwylHAA8s8WOnfuDHNzc7Rv355TP2T4CgeAziAIKRPu3r2L9+/fQygUqn1vfXlmSOEg89lnn6Ft27Ya3Yb6KT7DAaAzCEJKvRmTv8ZP6zbA7lUSzN5/QOq7/7Bz5059d8tgGUo4iMVibN68GVlZWfJlhhQOAJ1BEFKqLVu2DNL0DHQ6fAVmmfm3eSa4OeI6BOjZs6fOJ3MrbQwlHABgwYIFOH78OOLi4rBhwwZO/ZDRRTgAdAZBSKn29mE8vK48locDADg/T4RNYhp+/PFHtdtZu3Ytkp+/QtKLV0h6/krrX1j6UtQ8UoYUDgAwaNAg2NvbY9iwYZzeL6OrcADoDIKQ0o0BFunK8+tYpmYiOSNDrSYWLViAlFdvUTf2Iez+S0VKJTvECYDvvvsO8+bN47vHOlXYw3KGFg5AfvGgyMhIrX6p6zIcADqDIKRUY6bGeFO9osKyPKEA79yc0Lhx42Lfn5ubi+Q3CWh+4haqPkqAVWoWqj18i2Yn7+Ddk2fIzc3VUc9LjqGEg1gsxvfff4+EhAT5MkMOB4ACgpBSbcCwoXjl6YL7zWrgo605kivZ4lJAEzCRQK1LF9evXwcYQ4V3qQrLHd6kgAmFiI+P11XXS4ShhAMArFq1Cvv378fkyZN5mTFX1+EA0CUmQkq1tm3bIjs7G38hHM/rVQUYkGdihJVrVqv1/sqVK0MqEkJiLIJx7v9+aeWaGoEJYNCD3KmpqQgJWQwpk0IqlUIoEEEkEshfN6RwAIDRo0fj+vXrmDlzJkQiEac2CtJ1OAB0BkFIqdelSxes37YFDq5V4eBWFRVdnGFhYaHWe6tVqwZhnhT3W3iA/f8yJgD+bVkLQimDo6Oj7jqupYWLQlDBsSIC+47A4JFfo5lPe+RKJIiMjDS4cAAAZ2dn7Nu3Dy1btuTcRkFcw0FWMVMddAZBSDn31awgbFyxCu/cnWD7Xxo+VLKFVCjAN8Gz9d21QoWHh0MAoGfv4RD9f0W2Rs1aQ5yTjX/+OYlWrVrpPRzEYjEWLlyIwYMHo2HDhgCg1ZlDeno6cnJyIBQKiy1RWhjGGNLT09Ven84gCCnnPD09sX77NqCCDRJrVILAzhrrt29Ta1pqfbl+/TqqunnIw0HGvaYXBEKh3sMBAMLCwnDs2DFMmzZN4WE4Ln7b+zt+338QqWkZSPmQjveJH5CYmKhRG4wxpKWlqX12CdAZBCHk/9nZ2em7C2qztbXFh5T3SstTPyQDYHoPBwAYNWoU4uLiMHz4cK3GCv744w9kZkng2mIiLOw9kCf+iLd3fsfWsJ8xd84MtdqQhYOlpaVGAUFnEISQUmfKlClI/ZCCf+9el19T/5ieipjoE7C2stLrrKwy5ubm2LBhg1ZjDtnZ2UhOzYRLw0GwdKgFgUAAI1NrVGk6CgAQFRWlVp9k4eDs7AwTExO1t09nEISQUsfCwgId2rdD9NnjuBYbBXMLKyQn/QcBgGlTp3Bqk48xh1mzZsHX1xeBgYEA8m9F5Ur2nAOkebCwV7zcJxQawcy2Kh4+fIiOHTsW2oaqcMjOVn6wsjC8n0FIpVJkZmby3SwhhCjo27cvVq5YAXFONpIT38HaygoODg6c2uLjstJff/2FqKgofP/990hOTubUD5mCD8FBKEJWyjOF15k0D9lpr1GjRo1C29DmzEFG6zOI7Oxs/P7774iMjMSFCxfw33//gbH8a4B169ZF586dMXToUDRq1EjbTRFCiBxjDB8/fkSFChW0aoevMYc+ffrg6dOnaN++Pa+zsjrZW+PN7b0wNreHuZ0r8nIz8fZuOMAYunTporINPsIB0CIgsrKysGLFCqxbtw6pqanw8vKCr68vKlasCDMzMyQnJ+PJkyfYtm0bVq9ejdatW2PFihVo1aoV100SQggAxYfgtKFtOOTm5sLIyAgCgQBCoVAnleDGjRuHdes24NnFHyAQiiDNy4VAaIQvhg1U2QZf4QBoERC1atWCpaUlvv32WwwdOhSVKlUqtLNnzpzBzp070alTJ/z4448YO3Ys5w4TQsq3Tx+C44qPMYcZM2bA3d0d06dP12q8ASh6bqVvvvkaubm52LhxI0xMrGFsbIyqVasqtcFnOABajEEsXrwYcXFxmD59eqHhAPyvlN4vv/yCuLg4eHh4cN0k70aOHAmBQFDoV2xsrL67SAgpwJCekI6NjcW5c+ewf/9+vHjxglM/ZNSZeM/Y2BiWlpaFPiTHdzgAWpxBjB49WuP31KhRo8hBlZI2f/58TJgwQWl5YGAgTE1N4e3trYdeEUJUMaRwAID27dvj22+/RbVq1eDm5sapDYCfWVl1EQ5AOb/NtWbNmkpPi549exaJiYn49ttveZlQixCivtDQUOTl5UEkEiE4OFi+3FDCQSwWy2/CAYB+/fpx6oeMIYcDwONtrlKpFLt37+arOb3Zvn07BAIBpzMkQoh2xGIx8vLyFAr/GFI4BAUFYfr06cjJyeHUh4IMPRwAHgMiNzcXo0aN4qs5vUhNTcWBAwfg6+uL6tWrF7peTk4O0tLSFL4IIfxTJxxyc3ORmJiIpKSkQgsc8XFZ6cmTJ7h8+TKuXr2qdZ2M0hAOgIaXmBYvXlzoa2Wh8tTevXuRlZWFMWPGFLleaGgoQkJCSqhXhJQMExMT+eUdQ6BOOKzfsAHp6Zkwta4CaZ4YKanJ2LNnD4YOHSpfh68xBy8vL2zYsAFSqRT16tXjvF98VYLTdTgAGgbE0qVL0bt3b9jY2Ci9xkeFJG1ERUWhU6dOaq1748YNleUYt2/fDgcHB/Tu3bvI9wcHB2P69Ony79PS0lCtWjWN+kuIoSl4zd8QFBcOERER+JghRvW2s2Fq7QIAyEh8gGdXfkJ8fDw8PDx4uaz08eNH+YNv2t64wmeZUF2HA6BhQDRo0ABffPEFevToofRadnY2du3axVe/NObp6Ylt27apta6rq6vSstu3b+Pq1av45ptvir3Gqc11UEKIeoobc7h77wEcanSVhwMAWDp6wrpSAxw+fBjTp0/nZczh5cuX2Lp1q9bV9fiuIa3rcAA0DIhx48YVeqZgbGyMhQsX8tIpLlxcXLR6AG/79u0AQA/xEWIgiv1DTCCCiVVF5fdZu+Dju5taX1ZKTk7Gw4cPkZiYiN9++w01atSQT8KnKb7GHArSdTgAGgaEqmcGZEQikV4DQhs5OTn49ddf0aJFC9SvX1/f3SGkXPr0F2BxZ+kiQR7S3lyHjUvTAm1IkfrmKuztK2g95uDs7IywsDCEh4fDzc2N82V0PgekSxrVgwBw+PBhJCcn09kDIXoiG5DWxMCB/fHxfRwS4v6AOOM9stNe4/X1HZBkf0Dnzp05X1Z6+vSp/PuqVasWeUdjcfi+W6mkaR0QpfWsoaDt27fD0tISgwYN0ndXCCl3uE685+bmhp4Bfkh9eRFPzy3D85g1+PjfXfh16QhbW1vOcyuNGDEC//77r0bvVUUXt7KWNK0DYuXKlXz0Q69OnDiBjx8/wtraWt9dIaRc0XbivUaNGmHunCA4OdrCycEWFZ3sUa1aNU6XlXJzc5Gamip/zkkbpeU5h+JoPdXGp9cNCSFEHXw+IV0Q1zEHS0tLbNq0CY8fP9aqfk1ZCQeAhzMIbae4JYSUP6rC4cmTJ0hMTMSHDx/UfvBW9pwDV2KxGFevXpV/b2VlReFQAA1SE0JKlKpwWL5yDX7fFw5z22qQCs2Qmp6Jc+fOFdlOwYfguMjNzUVQUBDGjx+PEydOcGqjoLIWDkA5n82VEFKyVIXDjz/+CKGxBRp2mwETc1swxpDw8AzOXzgCHx8flfUPPn1CmguhUAg7OzsYGRnB1tZWq/0qi+EA8HAGQWMQhBB1FDbmkJ4pRvUm/WFinv9LWiAQwLl2JxiZWSE8PFypHb7mVpI9u/Xrr7+iZcuWnPerrIYDwENAtGnTho9+EELKsCIHpBmDmbXiE9ECgQDm1pWUxhf4mFspMjJS/oetSCRCrVq1uO0UynY4ADwExMmTJ/noByGkjFLnbqXk17cVvs+T5CDtfTyaNv3fU9LahoNUKkVQUBDmzZuHrVu3ctuZAvQRDiYmJhCJRCUWIjQGQQjRGXXCoUmjerh+IxJCkREcqjVFTmYKnl0Ph0AgROvWrQHwc1lJKBSiRYsWuHz5ssrZnDWhrzOHkp5xl3NAaFqkW9UMqoSQskvd5xy6deuGvLw83L5zBC9u/QmBUARpnhizZgYB4G/MAQCGDRuGrl27olKlSpzbKOuXlQriHBDu7u4aPQOh73oRhJCSo+lDcD169ECPHj0Upuw3NjbmZcxhz549GDZsmPxuKAoH9XEOiB07dtBDcoQQJYZSQxoA5s6di5MnT+Lhw4cIDQ3l1I+CylM4AFoExMiRI3nsBiGkLOArHADwclmpd+/euHz5Mnr16sW5HwWVp3AAdDBI/fDhQyQlJcHR0VGr28cIIaULn+EAgJcxhzZt2iAyMpK3iTjLUzgAPE61ISuqUadOHbRt2xZeXl5wc3PDgQMH+NoEIcRA8R0OADiFg0QiwapVqxRqS2gTDtnZ2ZzfK1NawwHg6Qzi6NGjGDRoEOrVq4fJkyejcuXKeP36NX799VcMGjQIERER6N69Ox+bIoQYGEOalTUyMhI3btzArVu3sHv3bq3GSWUD0toozeEA8BQQ3333Hfz8/BAZGanwQ505cya6d++OpUuXUkAQUgbxPSCtrTZt2uD9+/eYPHkyL+Hg4OCA9PR05ObmalzRrbSHA8DTJaabN29i0qRJSokvEAgwadIk3Lp1i4/NEEIMiC7uVtKWo6MjDh06xMvcSv/99x/Wrt+EnFwGI4uKSEvPwLIVq9WairwshAPAU0CIRCKIxWKVr+Xm5mo1yEQIMTy6upVVU2KxGPPnz8e7d+/ky1TN/qqugmcOf/9zBk412qHp5yvQwH8eGgYshpGpDTZu3FhkG2UlHACeAsLb2xsrVqxAVlaWwvKcnBysWrVKqzQnhBgWQ3rOYePGjYiIiMBvv/2GvLw8iEQiTn0BFMPh7NmzEAhFqNbgMwiE+W2amNvCvdlgZOVIC22jLIUDwNMYREhICHx9fVGjRg30798fzs7OePv2LQ4ePIikpCScPn2aj80QQvTMkMIBAMaMGYM7d+5g/PjxvE7Z/ebNG5hZOUHwSb/MbVzApBKVbZS1cAB4Coi2bdvixIkTmDNnDjZu3AjGGIRCIVq2bIm9e/fKJ9wihJRehhYOAGBjY4Pt27fzNiAte86hefPmOBJ5HBJxFoxM/vfsw4eEexAIlX9tlsVwAHh8DqJDhw6IiYlBeno6Xr58ibS0NFy4cAHt27fnaxOEED0pqXAQiUQQCASFXioSi8WYMWMGoqKi5Mv4DgcAaNiwIYRCER5Er0dGygvk5WYj6cUVPL++H9XdKiu0UVbDAdDBk9QWFhacSwDqw40bNxASEoLLly/jw4cPcHV1xZAhQxAUFFSq9oMQXSnJM4fAwMAi29i3bx9OnTqFS5cu4ejRo7CxseHUF6D4ifdmTJ+CH9atx/2otZDmSSAUGcPdtTIGDRokX6cshwPAY0AcPnwYe/bswfPnz5WePhQIBAZ5q2tcXBxat24NT09PrF27Fo6OjoiOjsbixYtx7do1/Pnnn/ruIiF6ZWiXlQYPHoxHjx6hR48eOg0HIP9uqFlBMxRmmB0yZIj8/8t6OAA8BcTKlSsxe/ZsODk5wcPDQ+MHSvTlt99+Q3Z2Nv744w/UrFkTANC5c2e8ffsWW7duRUpKCipUqKDnXhKiH8WFw86dOyGVSiEUCjFq1KhC29E2HArenWRkZITFixdrvjMFlLcpu7XBS0Bs2rQJo0ePxpYtW7S6zaykye6XtrW1VVhuZ2cHoVBYZn/ohBRHnTMHiST/bp5Pp8goiI96DkFBQWjYsCHGjh2r2U6oQOGgGV4GqZOSkjBkyJBSFQ4AMGLECNjZ2WHixIl48uQJ0tPTceTIEWzZsgVfffVVoWdCOTk5SEtLU/gipKwwpMtKZ86cQXR0NLZt24Y3b95w6ocMhYPmeDmDaNOmDf7991907tyZj+ZKjLu7O2JiYtC7d2/5JSYAmDJlCtauXVvo+0JDQxESElICPSSkZBlSOACAv78/3rx5g7p166Jy5crFv6EQfIQDgHIVDgBPZxBr167Fxo0b8ddffxU65YauRUVFQSAQqPV18+ZNAMCzZ88QGBgIBwcHHDhwAGfPnsWKFSuwa9euIk9ng4ODkZqaKv96+fJlCe0lIbpjKOEgFovll68AYNSoUbw+BKeN8hQOAE9nEB4eHujSpQt69+4NgUCgdHuoQCBAamoqH5sqlKenp8LdBkVxdXUFAMyZMwdpaWm4efOm/HJS+/bt4ejoiNGjR+OLL75Ahw4dlN7P13z3hBgKQwqHGTNmwNLSEkuXLoWRkXa/ovgMBwDlKhwAngJi1qxZ+PHHH9G4cWPUqVNHLwfQxcVF40Gsmzdvom7dukpjDd7e3gCAu3fvqgwIQgyRiYkJp/mIDCUcAODevXuIiYmBSCRCfHw8vLy8OPUF4G/MoaDyFA4ATwGxa9cuzJ49m5ei4CWpcuXKuHv3Lj5+/AgrKyv58piYGABA1apV9dU1QjQWHBys8XsMKRwAoEmTJli5ciUsLCwMIhzK+w0ovAREXl4eunbtykdTJWrq1Kno1asXunbtimnTpsHR0RGxsbEIDQ1F3bp1qcgRKdP4LBOq7WWl7Oxs+YNvnTp14twPgP+7lcozXgap/fz8EBsby0dTJeqzzz7DqVOnYGNjg2+++QY9e/bEzz//jPHjxyM6OrrcnU6S8oPvGtLaPucwYcIEXv5a18WtrOUZL2cQ8+fPx8CBA2FpaYkePXrA3t5eaR1VywxBp06dtP6LhZDShO9wAMD5slJCQgLu3LmDzMxMPH78GE2aNOHcB3rOgX+8BESjRo0AANOnT8f06dNVrpOXl8fHpgghWuBzzKEgrmMOrq6u8mltKBwMDy8BsWDBAq2m3CWElAw+B6S5EovFeP/+PapUqQIAqFWrFue2AAoHXeIlIBYtWsRHM4QQHePzbiUuZGMOcXFxCAsLg7u7O6d2ZCgcdIu3gkGEEMPH562sXGRmZuLt27dIT0/H+/fvObUhQ+Gge7wXDCKEGI5PH/TS93MOdnZ22Lp1K549e0ZjDqUAnUEQUkbJBqS1xcf0GXfv3pV/X6FCBQqHUoICgpAyqODdStrgq57D6NGjcfHiRa36AlA4lDTOl5hevHih0fqyCfIIIbr16a2sXBUWDjdu3MCly7fAwAAIIIAYmZmZKsclBAIBhEIhBAKB1vViKBxKHueAcHd31+jWVnoOghDd0/XcSnFxcYi9fAOZwubIEdaDgGXBShqNn3/Zh4njlcuOGhsbY+XKlYiPj0edOnU47xeFg35wDogdO3bQsw+EGBBV4XDt2jW8e/cOgABGRiLk5ubKS+0WpqjLSufOX0K2oAEyRW3yFwjs8EHQD46SLTh9+jQ6d+4MsViM8+fPywuIGRsbl+pw4DpLblnAOSBGjhzJYzcIIdpQFQ4bN21CaupHVKzZBibmFfD+aSxWrl6HqVMmFXqbanFjDnlMhBzRJw+2CUTIEdTEixcPIZFIEBQUhOjoaMyePRuDBw/War/0HQ4At1lyywoapCaklFMVDs+fP0dqajrqd52Jmt5DUa1+AJr0WAjLClWxadMmle2oMyAtgBQiKBf/EiEZpqamEIlE8PT0hKmpKWrUqKHVfhlCOJR3vD0H8ejRI2zZsgX//vsvsrKyFF4TCAQ4deoUX5sihPy/wsYcIiIiYO3kAUu7KvJ1BUIRqtbrjkcXdyi1o+7dSs4VbfH2v3MQC9wgFVgDAEylD2HE/kNAQF8IBAJMmjQJn332GapVq8Z5vygcDAMvAXH37l34+PigSpUqiI+PR8OGDZGYmIjXr1+jWrVqqFmzJh+bIaRMCg0NlV/j1uRyRlED0nl5eTASKY81CIXKyzS5lbV3797Yvv1nOEi2I1dQEUKWBSE+wsSIyYtuCQQCCocygpdLTHPnzoW/vz/u3bsHxhi2b9+Oly9fIiIiAtnZ2Vi6dCkfmyGkTBKLxcjLy4NYLFb7PcXdrdSlSxekJtxHTmaKwnvePjwNMIl8GZfnHMaMGYHAnt1gLnwHc+OPiDr9NzZs2IBly5ap3f/CUDgYFl4C4vr16xgxYoT8wyWbCrhHjx4ICgoq14M8hPBNnVtZ69WrBxMTY9w+/j1e/3sC759dRtyZdUhNuI/hw4YA0O4huCpVqsDR0RH29vZo0KABLCws0KVLF632i8LB8PASECkpKbC3t4dQKISxsbHC4/3NmzfH9evX+dgMIeWeJs85BM2YBo8a1fD63jE8u74f6e8fYdzYkahSpQpvcysBQP369REZGYmWLVtyboPCwTDxEhBVqlRBYmIiAMDDwwPR0dHy127fvi2/NkkI4Y7LQ3D9+vWDo4MdHCpYo2LFinB0dORl+owNGzYgJydHvqxChQoa748MhYPh4mWQum3btrh48SJ69eqFoUOHYuHChXj79i1MTEywa9cuDBs2jI/NEFJu6foJaU2EhIQgMjISNWrUwPDhw7V6YJbCwbDxEhDz5s3DmzdvAACzZ89GQkIC9uzZA4FAgAEDBmDVqlV8bIaQconPGtJ8XFYaOnQoLl++jLZt21I4lHG8BETNmjXlt7KKRCKsX78e69ev56NpQsq1wsJh586dkEqlEAqFGDVKeQ6kwvAx5lC3bl0cOXIEx44d49wGhUPpwMsYRG5uLjIyMlS+lpGRgdzcXD42Q0i5UtSZg0QigVQqhUQiKaIFZVzHHJYsWYJXr17Jl2lzFkPhUHrwcgYxbtw45OTkYO/evUqvffnllzA3N0dYWBgfmyKkXOBzzKEgdcMhIiJCfoYSFxeHP/74A9euXcOBAwdgZMT91waFQ+nCyxnEmTNn8Nlnn6l8LTAw0KCn2bh8+TL8/f1hbW0NKysrdOrUCRcuXNB3t0g5xveANBd5eXlgjCEvLw+jR4+Gl5cXgoODKRzKGV4C4t27d3BxcVH5mrOzMxISEvjYDO+uXLmC9u3bIysrC7/88gt++eUXZGdnw9fXFzExMfruHimHdHG3kracnJzw22+/0XMO5RAvAWFnZ4f4+HiVr8XHx8Pa2pqPzfBu/vz5sLOzw/Hjx9GrVy/07t0bJ06cgLW1NYKCgvTdPVIO6eJWVk2JxWKEh4fj6dOn8mXaDGpTOJRevAREp06dEBoaqnQ6m5ycjGXLlskLhxiaCxcuoGPHjgr/iKytrdG+fXtcvHgRb9++1WPvSHlkCM857Nq1C/fu3UN4eLjCw3BcUDiUbrwMUi9atAje3t6oVasWBg4ciCpVquDVq1cIDw9Hbm4uQkJC+NgM78Riscp/iLJld+7cUXnpLCcnR+EfTlpamu46ScoVfYcDAIwYMQKnT59GixYt6G6lco6XgPD09MS5c+cwffp0bNu2TT51cYcOHbBmzRp4enrysRne1a1bF7GxsfK7NYD82wcvXboEAEhKSlL5vtDQUIMNPVK6MMYUvtdXODDG5A+9mZqaYtCgQZz6IUPhUDbwVlGuUaNGOHXqFNLS0vDq1Sukp6fj5MmTaNiwIV+bKFJUVBQEAoFaXzdv3gQAfP3113j48CEmT56M169f4+XLl5gwYQKeP38OoPDrrsHBwUhNTZV/vXz5skT2kZQtsgFpbfExt9LUqVNx4MABrfsCUDiUJbycQSQmJsLR0REAYG5urvShuH79Opo2bcrHpgrl6emJbdu2qbWuq6srAGD06NF4//49li5dis2bNwMAWrVqhaCgICxfvhxVqlRR+X5tpzsgpODdStrS9rLS0aNHcfbsWVy6dAkdOnSAk5MT575QOJQtvAREYGAgzpw5AzMzM6XX7t27B39/f7x//56PTRXKxcUFY8eO1fh9s2fPxtSpU/Ho0SNYW1vDzc0N48ePh6WlJZo1a6aDnpLy7tNbWbWl7ZjD559/jhcvXqBly5YUDkQBb89BDB06VGl5fHw8unbtijp16vCxGZ0xNTVF/fr14ebmhhcvXmDfvn0YN24c5w85IYXhc+I9GS7hkJubK3/KWiAQYMqUKfScA1HCS0AcPXoUUVFRmD59unzZixcv4Ovri8qVKyMyMpKPzfDu7t278qmLT548idWrV6NZs2aoVasWlixZou/ukTJG39NnyIjFYsyYMQOhoaFKbWlCJBJBIBDI/0vhUPbwconJy8sLBw8ehL+/P9zd3TFw4ED4+vrC2tpa/uCZITIxMcHp06exfv16fPz4Ea6urpgwYQLmzJkDS0tLfXePlCGGMH2GzLVr13Du3DmYmJhg0KBB8pmYNRUYGEhnDmUcLwEBAB06dEBYWBhGjRqFH374AUZGRjh58iTs7e352gTvateujbNnz+q7G6SMM7TpM1q1aoUlS5bAycmJczgAdFmpPOAcEKr+igkICMDXX3+NPXv24Pjx4zAxMZGvZ8hBQYiu6KoSnKZk04PL9OzZk1M/ZCgcygfOAeHo6FhoNSnGGJo3b66wLC8vj+umCCmVDKVMqEQiwf79+yEWixEYGKj1zRcUDuUH54BYsGCBVuUGCSnLDCUcgPwZAZ49ewapVIr4+Hg0aNCg0HWfP3+Ov0+cAcP//9tmErx79w6VKlUCQOFQ3nAOiEWLFvHYDULKDl2GQ25uLiIiIpCYmAihUAhbW9ti26lUqRKGDRsGiURSZDikpKTg+IkzMLJtBGOn9gBjEP93Eof/OobhQwdAKBRSOJQzvE21QQjRbTg8fPgQYTt+xdtEhkxhE+RIKyAx+SPu37+v9H6xWKzwcKqrqytq1KhR5Db/+usviCxcYVZtIERmLhCZV4aZ63AITRxx+PBhCodyiHNA1K9fH4cOHVJ7/bdv32LKlClYtmwZ100SYtB0fVnp1JmLyDZqglTzMcg07YpU8zHINmqGM2djFd4vFosRFBSEUaNGaVSsK1ssgJGd4pQ4AoEARhWa4WNGDoVDOcQ5IAYMGIAvvvgCrq6uCA4Oxt9//43379/LZ6fMysrC3bt3ERYWhsDAQLi5ueHatWuFliYlpDTTdTgkJiZCAAmyjFsrrJ9l3AoCSBSCIDU1FU+ePMH79+/x6tUrtbctgBRScaJyn3L+g0gICodySKtB6nHjxmHt2rUICwvD8uXL5bOlGhsbQywWA8j/cLRr1w6///47+vTpw1vHCTEUfE6fUdiAdFZWFgABAONP3mEEQIiMjAz5EicnJ4SFheHVq1do3ry52iHRoL4nbt89DyO7JhCZ5ddByct8AUnKNQR078ppfygcSjetHpRzcXHB8uXLsXTpUly6dAkxMTF48+YNsrKy4OjoCC8vL3Ts2BFVq1blq7+EGBS+51Yq7G6latWqgUEE47x45BrVki83lj4BgxDOzs549OgRatXKf83Z2RnOzs4abbtVq1Z48uwZPj5aB6GZCwAppNnvUKmiPafZmCkcSj9enqQ2NjZG27Zt0bZtWz6aI6RUKOmJ96pWdsDrNxHIlPpAIqoKo7zXMJfEwKWSPebMmYPr169j48aNaNy4MeftDx08GG/evMHRo0cBAPYVbDFu3DiN26FwKBvoLiZCONDHxHuBgYFoUN8TFpJLsM45DHNJLCzMRPD390d2djYkEgkvNaQdHBzg6OgIR0dHGBt/ekmreBQOZQdvczERUl7oc+K9Nm3aoE2bNjh8+LB8mbm5OdavX1/sQ3DFKfgQHFcUDmULnUEQogFDmXhPIpHg8ePH8u/Nzc15Cwe6W4nIUEAQoiZDmXgvNzcX+/fvxy+//IJbt25x6kNBFA6kMBQQhKjBkOZWEolEsLGxgZGRkda1VigcSFFoDIKQYhhSOAD5A9kBAQFo0aIFKlasyKkNgMKBFE+rgHj69CnMzc0V7rdes2aNwjo2NjYYO3asNpshRG8MJRzEYjGOHj2Kzz//HAKBAEKhkMKB6BzngLh27RpatGiB/fv3o2/fvgDyaz4EBQUprCcQCODh4YGOHTtq1VFCSpqhhANjDDNnzsTZs2fx4sULTJkyhVM/ZCgciLo4j0Fs27YNrVu3lodDQREREXj69CmePHmCPn364Oeff9aqk4SUNEMJByD/j6x27drBzMwMLVu25NQPGQoHognOAXH69GkMGTJE5WsuLi5wc3ODu7s7+vbti4sXL3LuICElzZDCQaZfv36IiIjQOiAoHIgmOH9iX716hTp16igsEwgEaNSokcKtey4uLhrNKEmIPhlKOIjFYmzbtk3hyWgnJydOfSmIwoFoQqtBatnU3jJCoRA3btxQWCaVSpXWI8QQGUo4AMC3336LEydO4P79+1i9ejWnfqhC4UA0wfkMonLlyrh3716x6927dw+VK1fmuhmNpaenY9asWfDz84OTkxMEAkGR5VGvX7+OLl26wMrKCnZ2dujTpw+ePHlSYv0lhsGQwgEA+vfvDzs7OwwYMIDT+2Wys7O1ej9A4VCecQ6IDh06YOvWrZBIJIWuI5FIsHXr1hK9gykpKQlbt25FTk4OevXqVeS69+/fR8eOHSEWi7F//37s2LEDDx8+RLt27RTKNZKyzdDCAQC8vb1x9OhRrcYcZAPS2qJwKL84X2L65ptv0Lx5c/Tv3x9btmxRuif73bt3mDBhAh48eIA9e/Zo3VF1ubm5ISUlBQKBAImJiQgLCyt03QULFsDU1BRHjhyBjY0NAKBZs2aoVasWVq1aheXLl5dUt4meGEo4SCQSnDhxAm3atJGPNXCZhkOGy8R7O3fuhFQqVeo7hUP5xflPnIYNG2LDhg2IiIiAq6sr2rZti6FDh2Lo0KFo27Yt3NzcEBERgfXr12s1iZimZFXtiiORSHDkyBH07dtXHg5AfsB06tRJo3rbpHQylHAAgGPHjuHy5cv4+uuvlaYA1xTXW1klEgmkUikkEgmMjIzy61EbGVE4lGNaDVKPHz8e9evXx/fff4+oqCj57azm5ubo2rUrgoOD0bp162Ja0Y/Hjx8jKysLDRs2VHqtYcOG+Oeff5CdnQ0zMzOl13NychTuLklLS9NpXwn/DCUcUlNT8d9//6FFixbw9PRE69attbo0xcdzDgDQp08fOnMg2s/F1KZNG0RGRkIqlSIxMb/guaOjo1Yf8pKQlJQEALC3t1d6zd7eXv4LxMXFRen10NBQhISE6LyPRDcMJRyuXr2KK1dvIVvqjOw8F1hYvcTtuw9RsWJF1K5dW+P+8BUOAF1WIvl4+y0umxumYsWKSv9QuA74RkVFyS8ZFfd18+ZNTtso6nJUYa8FBwcjNTVV/vXy5UtO2yYlz1DCQSwW4/KVO0gWe+NtdiBScpvjdXZvpOXWxcnTFzTuD5/hAIDCgQDQ4WyujDEcO3YM27dvR2RkJKfb7Tw9PbFt2za11nV1ddWobdngnexMoqDk5GQIBALY2dmpfC9f9YdJyTKUcACALVu2wMjYAqmSegrLU3KbwM74DjIzM9UepOZr+oyCKBwIoIOAePz4MXbs2IGff/4Zb9++BWOM8612Li4uOpsJtmbNmjA3N8edO3eUXrtz5w48PDxUjj+Q0smQwgEAWrVqhctX7wBQ/LfB/v+fZG5ubpHvF4lE8juO+Jo+g5BP8XKJKTs7G7/88gs6duyI2rVrIzQ0FNWqVcPmzZuxc+dOPjbBOyMjIwQGBuLgwYMKZR9fvHiBM2fOoE+fPnrsHeGToYRDwb/SGzVqBIDBQqR4edLa6BGkMIKtrW2RbQUGBsLf3x9+fn68TZ9ByKe0OoO4cuUKtm/fjt9//x1paWlwdnZGUFAQRo0aBS8vLwDAn3/+yUtHNXHs2DFkZGTIf/HHxcXhwIEDAICAgAD5qXtISAi8vb3Rs2dPzJkzB9nZ2ViwYAEcHR0xY8aMEu834Z+hhINYLMbs2bPRrVs3+Pv7w9jYGFUrO0Lw5iQ+5DZAjrQizIWvYWN8H561qxfbni5mZSXkU5wDomHDhrh37x6MjY3Rs2dPjBo1Ct27dzeIu5cmTpyI58+fy78PDw9HeHg4gPwiR+7u7gAALy8vREVFYfbs2ejXrx+MjIzQuXNnrFq1ipeJ0Yh+GUo4AMAff/yBM2fO4PLly2jZsiXs7Ozw2WefITY2Fjdu3oEUIgghQds2LYt9boim7CYlhXNA3L17F0KhENOmTcO0adO0qm7Ft2fPnqm9brNmzXDy5EnddYbohSGFAwAMGDAAT548QZcuXRRufvDx8UFCQoL8ewoHYkg4/7m/du1aNGjQAMuXL0fVqlXRq1cv/Pnnn0XOzURISTCUcJBIJPJxB5FIhHnz5vEytxKFAykpnANiypQpuHHjBi5fvowxY8bg7Nmz6NOnD6pUqYIZM2aovDuIEF0zlHAQi8WYPn06Nm3axMt093w950DhQDSh9YBB8+bNsXnzZrx9+xa7du1CnTp1sHbtWjRu3BjNmzeXDw4TomuGEg4AcP78eURHR2P37t1aF8yiJ6SJvvD2HISZmRmGDx+O4cOH4/Hjx9i+fTt2796N69ev8zLlMCFFMaRwAIDOnTtj9uzZqFGjBqpVq8apDYCekCb6pZNbjmrWrInvv/8eL168wF9//YXPP/9cF5shBIDhhINYLFZ4wG3w4MEGMeZQEIUD0YRO70kVCoXo2bMnDh48qMvNkHLMkMJhxowZmDlzZrFPQauDzwFpdcz/9lukpSQh6f17pKUkF1mFkZQf+n9ogRCODCUcAODBgwe4dOkSYmJiEB8fz6kfMnzfrVScObNnQ5KdiWGdmmPhED8M6dgUWemp+HbuXE7bJmWHzibrI0SXDCkcgPznF9auXQuRSIQ6depwagMo+SekMzMzkZ2ViUk92sDFPr9wVu0qThjZxRtbj8cgNzcXxsbGnPpBSj8KCFLqGEo4iMViZGZmyh9846M4Vkk/53Dt2jWIhEJ5OMhUdbQDY/lnRvXr1+fUF1L60SUmUqoYUjgEBQVh3LhxSElJ4dQHVUr6ITgPDw/k5uXhY3aOwvK0zGwwxrS6A4uUfhQQpNQwlHAA8otgxcXF4cWLFxpN7VKckn5C2sXFBUYiEQ5euAOxJA8AkJMrwYELtyESiYqdVZaUbXSJiZQKhhQOAFClShWEhYXh/fv3aNKkCac2AHAqpPUpbafPCJ73LUK/W4ole0/AwcYSSWkZEAoFmPvtAq37Rko3zmcQQqEQIpFI7S9CuDKUcBCLxXjx4oX8e3d3d3h7e3PqC/C/AWlt8DG3kpOTE9asXQcTM3MkpmfB1NwCa9auh6Ojo1Z9I6Uf5zOIBQsWKHy4d+7ciY8fPyIwMBDOzs54+/Ytjhw5AktLS4wePZqXzpLyx5DCISgoCHfu3MHWrVtRq1YtTv2QKXi3Eld8T7xnaWlJhYOIAs4BUfBBmtWrV8PZ2RknT56ElZWVfHl6ejq6dOmidm1dQgoylHAA8n+hJyYmIjMzE0ePHoW7uzuEQiECAwM5tUWzspLSgJdB6k2bNmHWrFkK4QAA1tbWmDVrFjZt2sTHZkg5YkjhAAA2Njb46aef8NNPP8HNzQ2MMeTl5WncDoUDKU14CYjXr1/DyEj1yYiRkZFCQRRCimMo4SAWi3Hjxg359zY2NloPSFM4kNKEl4CoU6cO1qxZozQHjVgsxurVq+X1qQkpjr7CISIiAn/++SciIiIA/G9upXHjxiEqKopTHwqicCClES+3uS5duhS9evVCjRo10KdPHzg7OyMhIQEHDx5EQkICDh8+zMdmSBmnzzMH2eUi2X+FQiEsLCwgEom0nmabwoGUVrwERI8ePXD8+HHMmzcPGzduhFQqhUAgQIsWLbBz50506dKFj82QMsxQLivJGBkZ4bvvvkN8fLxWZ8AUDqQ04+1BOV9fX/j6+iIzMxMpKSmoUKEC3b1E1GIo4SCRSHD//n306tULQH5IUDiQ8ozXqTZSU1Nx7tw5REVFIScnp/g3kHLPUMJBKpVi//79OHDgAHbu3MmpDwVROJCygLeAWLJkCSpXrozu3bvjiy++wNOnTwHkn1ksW7aMr82QMsRQwgHIH3OoWrUqjIyMULduXU79kKFwIGUFb89BhISEYMyYMYiMjFQoc9izZ09ERkbysRm1pKenY9asWfDz84OTkxMEAkGh1bHOnz+PsWPHolmzZjA1NYVAIOB14jVSOEMKB5n27dtj8uTJBlEmlMKBGAJeAuLHH3/E9OnTsX79evj5+Sm8VqtWLTx69IiPzaglKSkJW7duRU5OjvxacmFOnTqFkydPwtXVlZe5/Il6DCUcxGIxfvnlF0gkEvkyWW0HLigcSFnDyyD1kydP4O/vr/I1a2trfPjwgY/NqMXNzQ0pKSkQCARITExEWFhYoevOnz8fCxcuBACsWrWKl/vdSdEMJRwAIDg4GKdOncKjR4/QtGlTTv2Q4SMcAFA4EIPCyxmEra0t3r17p/K1Z8+eoWLFinxsRi0CgUDtGTK1uRxBNGdI4QAAgYGBsLKyQo8ePTi9X4avcABA4UAMCi+/IX19fbFixQpkZGTIlwkEAkgkEmzevLnQs4vSKicnB2lpaQpfpGiGFg4A0LFjRxw9elTvYw4FUTgQQ8JLQCxevBjPnz9H3bp1MWPGDAgEAvz4449o0aIF4uPjMX/+fD42YzBCQ0Nha2sr/6KyjEUzlHAQi8VYu3atQqDb2NgU8Q7VMjMz5YV++BhzKEif4WBiYgKRSEQBReR4CQgPDw9cvHgRderUwaZNm8AYw+7du+Ho6Ihz587B1dWVU7tRUVHyS0bFfd28eZOPXVFLcHAwUlNT5V8vX74ssW2XNoYSDkD+rdi7du3CtGnTlH4xq+PIkSPYun03PmaKkZaeif+S0vD48WOtB6QNRXBwML799lsEBwfruyvEQPAySB0dHY2mTZvi+PHjyMnJQVJSEipUqABzc3N8/PgR0dHRaN++vcbtenp6Ytu2bWqtyzWEuNDmF115YkjhAABffPEFrl69ii+//FLjSm5XrlzBm4REONUbAXPHBgCTIPVlFM5fPI7GjRtrXLu54N1KhBgqXgKiU6dOiImJQYsWLWBqaorKlSvLX3vw4AE6derEae58FxcXjB07lo8ukhJmaOEA5N9y/eeff3K6hHLz9j3YVO0AC6eG+QsExrBz64qs93fxyy+/YPLkyWq39emtrIQYKl4uMRV1up6bm0t3C5UzhhIOYrEYixYtUnj4kfP1dYERTO2qKy02q1ALHz9+VLsZes6BlCaczyDS0tIUnm9ISEhQKOgOAFlZWfj5559L/K+kY8eOISMjA+np6QCAuLg4HDhwAAAQEBAgn0Tw/fv3OHv2LADgzp078vc6OTnByckJHTp0KNF+lwWGEg4AsH79ehw+fBhXr17FoUOHYGxsrHK9mJgYvHuXBAiNIGA5SE1NVb5kJJUgO/kRLBwbKCzOSr4Pa2trtfpD4UBKG84B8cMPP2Dx4sUA8u/k6N27t8r1GGOYO3cu181wMnHiRDx//lz+fXh4OMLDwwEAT58+hbu7OwDg3r176N+/v8J7J02aBADo0KEDPTinIUMKBwAYM2YMbt26hcmTJxcaDr/u+Q0ZmWIIHdpDYGIP6Yfr+H3/IQT28JNfKs3OzkaTxvVx/cZ5mNhUg2XFpmBMgtRn/yA34y1GffNVsX2hcCClEeeA8PPzg5WVFRhjmDVrFr7++mulgWJTU1M0aNCgxP8SV3c+pY4dO3K6m4UoM7RwAIAKFSpg9+7dhQ5Iv3v3DhkZ2TCuPgUC00oAAKGtNyRvfkfk0b8xbuwo+XMOHTt2REZGBh4+2I/Ef/cADBCIjNHd37fYae0pHEhpxTkgWrVqhVatWgEAMjIyMG7cOIXBaVJ+GEo4iMVizJ07F71790abNm0AoMi7lc6ePQuBWRV5OMjWFzm0h+TjfaWH4Pr16wcgf3JKADA2Ni52ig4KB1Ka8XIXk2w+I1L+GEo4AMCePXtw8uRJXL58GZGRkcWODeSHh4ozSCaVv67qIbjCLlcpNUPhQEo5ur2IcGZI4QAAw4YNQ7du3bBy5Uq1Bo67dOkClv0G0uw38mWMMeQlnYFQkEezspJyj7eSo48ePcKWLVvw77//IisrS+E1gUCAU6dO8bUpYgAMJRykUqn8PcbGxhoVp6pQoQJsbC2R9mwThHbNIDB2QF7qdSA3CUOHDKBwIOUeLwFx9+5d+Pj4oEqVKoiPj0fDhg2RmJiI169fo1q1aqhZsyYfmyEGwlDCQSwWIygoCC1atMCwYcM49WHwwIG4c+cOLl6MBQQiCAV5GD9+PBwcHDi1R+FAyhJeLjHNnTsX/v7+uHfvHhhj2L59O16+fImIiAhkZ2dj6dKlfGyGGABDCQcA+OeffxAdHY0ff/yx0Onm1dGgQQNUquSEShXt4eTkROFAyP/j5Qzi+vXr2LRpk/wfuVSaP8jXo0cPBAUFITg4WP5AGim9DCkcgPyHHl+9eoXGjRujUqVKxb+hELKZWbVB4UDKIl7OIFJSUmBvbw+hUAhjY2OkpKTIX2vevDmuX7/Ox2aIHhlKOOTm5srn9RIIBBg/fjwv9Ry0QeFAyipeAqJKlSpITEwEkD/1d3R0tPy127dvw8rKio/NED0xlHAQi8WYMWMGQkJCOE3++KmCzzlwReFAyjJeLjG1bdsWFy9eRK9evTB06FAsXLgQb9++hYmJCXbt2sV5AJHon6GEA5D/x8aFCxdgZGSE4cOHo1atWpz6AlANaULUwUtAzJs3D2/e5N9LPnv2bCQkJGDPnj0QCAQYMGAAVq5cycdmSAkzpHAA8i9Xyqr5GUI4AFRDmpRtvAREzZo15beyikQirF+/HuvXr+ejaaInhhIOYrEYubm58sI6fn5+nPohQzWkCVEf54D4dGrv4pRkxTeiHUMKhxkzZiAtLQ0bN27UeiyLj3D4dHLH1atXIy8vDyKRiHOpThMTE3kbhBgSzgHh7u6u0d0ffAwqEt0zlHAAgFevXuHmzZsQi8V4/PgxGjVqxKkvAH/h8GkNabFYDEC7z7eua0BTABGuOAfEjh07tL49kBgWQwoHAKhRowa2bNmC9PR0gwmH0lhDWtcBRMouzgExcuRIHrtB9M1QwkEsFiM5OVlehbBu3bqc+iFTWDjs3LlTPo/TqFGjimxD1a2ssr/IZWcQhJRFvE3WR0ovQwqHoKAgPHz4EGFhYahatSqnfsgUdeYgkUjkfS6KqnAo+Bd5SEiIVn0kxJDRdN/lnKGEAwB8/PgRL1++REpKCt6+fcupHzJ8X1aiu5VIecTLGYRQKCx2PIIGqQ2PIYUDANjb22Pr1q148eIFmjVrxqkNgMKBEL7wEhALFixQCoj379/jxIkTyMvLwxdffMHHZgiPDCUcxGIxnjx5Ai8vLwCAk5MTnJycOPUFoHAghE+8BMSiRYtULheLxfD390fFihX52AzhiSGFQ1BQEC5fvowNGzbA29ubUz9kaPoMQvil0zEIExMTfP3111izZo0uN0M0YCjhIOtLXl4eGGPFDhYXR9twMDIyglAohEgkonAg5P/pfJDa3Nxc6wFHTaSnp2PWrFnw8/ODk5MTBAKByjOcvLw8rFmzBt26dUPVqlVhYWGBOnXqYM6cOfjw4UOJ9bckGVI4AICpqSnWrFmDHTt28DJltzZnDiNHjkS/fv3wxRdfUDgQ8v90GhDv37/HypUr4enpqcvNKEhKSsLWrVuRk5ODXr16FbpeVlYWFi1aBDc3N6xduxZHjx7FuHHjsHXrVrRp00aprnZpZyjhIBaLce7cOfn3pqamqFevHqe+ADTmQIgu8TIGUb16daVB6pycHPz3338QCoX466+/+NiMWtzc3JCSkgKBQIDExESEhYWpXM/c3BxPnz5VqAXQsWNHuLq6on///vjjjz/KzDTlhhIOubm5CAoKQnR0NObPn4++ffty6ocMjTkQolu8BESHDh2UAsLMzAzu7u4YOHAg3N3d+diMWtSd/kMkEqksFNOiRQsAwMuXL3ntl74YSjgA+df53dzcYGpqqtOH4DRF4UCIarwExK5du/hoxiCcPn0aAIq87JGTk4OcnBz5959O4GYoDCkcgPzwnj59Ovr16wc3NzdObQA0ZTchJYWXMYjc3FxkZGSofC0jIwO5ubl8bEbnXr9+jTlz5qB58+bo2bNnoevJitbIvqpVq1aCvVSPoYSDWCzGgQMH5HcpCQQCvYfDp1N2UzgQohovATF27FiMHTtW5WtffvklJk6cyKndqKgoCAQCtb5u3rypxR4AycnJCAgIAGMM+/btK/IXYXBwMFJTU+VfhnY5ylDCgTGGWbNmYenSpVi9ejWnPhSkqym7CSGq8XKJKSoqCsuWLVP5WmBgIOfphj09PbFt2za11tWmIFFKSgq6du2K169f4/Tp06hRo0aR62vzS1fXDCUcgPyzBV9fX1y6dAnt27fn1A+Z8j5lNyH6wEtAvHv3Di4uLipfc3Z2RkJCAqd2XVxcCj0z4UtKSgq6dOmCp0+f4tSpU2jYsKFOt6dLhhQOMoGBgWjTpg3s7e05t6GLW1kJIcXj5RKTnZ0d4uPjVb4WHx8Pa2trPjbDO1k4PHnyBCdOnECTJk303SXODCUcxGIxNm3apPAciaGFA405EKIeXs4gOnXqhNDQUPTp00fhl0FycjKWLVuGzp0787EZtR07dgwZGRlIT08HAMTFxeHAgQMAgICAAFhYWCArKwv+/v64ceMG1q5dC4lEgtjYWHkbTk5OqFmzZon2mytDCQcgf+LG48ePIy4uDhs2bNCq6iCFAyH6xdtkfd7e3qhVqxYGDhyIKlWq4NWrVwgPD0dubm6JF1WZOHEinj9/Lv8+PDwc4eHhAICnT5/C3d0d7969w5UrVwAA33zzjVIbI0aMKBW37xpSOADAoEGDcPnyZQwfPrxMh8NPP/2ER3dvQ8wAIwGQx4DU1FTY2trytg1C9E3APr3nj6Nbt25h+vTpiI6Olpdj7NChA9asWVOqr+urIy0tDba2tkhNTYWNjU2JbdfQwkEmKytLq+cTdB0Of//9NyKPHIGRkRA5YgmmT5+u0dnirl27cOvqZfSuYoEGtiZIyZXi0KtMvM7Ow5oNGzn1l5CSosnvK97mYmrUqBFOnTqFtLQ0vHr1Cunp6Th58mSZDwd9MZRwEIvF+P777xVuRDDkcFixYgWORUbCu14tdG/jDU+3Ktiwfp3C/FDFuXPtCro7m6OZvSlMRAJUMhNhTA0rMMbw999/c+ozIYaI98n6zM3NUblyZZiZmfHdNPl/hhIOALBq1Srs378fkydP1rpqoK7DITMzE29ev8Kwnp3Rva03mnjVxJCATmhR3xOH/vhDo2142hgrLDMWCuBuaYSYmBhO/SbEEHEeg3jx4oVG62vznAL5H0MKBwAYPXo0rl+/jpkzZ0IkEnFqAyiZMYe9e/fC0twM7pUrKSxv1agOYm/fV3s7AoEA77Lz4Gj6v/1ljCEhOw81PKpw6jshhohzQLi7u2s0CEk1qbVnaOEA5D/nsm/fPoMPByB/gkapVHnIjUkZNBlPt3ZwwuHX71HZXIQKJiLkMYZT77KRk8cwcuRITv0nxBBxDogdO3ZodZcK0YyhhINYLMaCBQswaNAgNG7cGABKRTgAwIABAzA3eA4evXiDWq6V5cvP3bir0XFYtGgRZk2fjpX301DBRIh0CQNjDL0HDoaxsXHxDRBSSnAOCPpLqeQYSjgAwPbt23H8+HFcvnwZkZGRBj0g/SkLCwvU9KiF349HoV5NN7g42iPuyQu8TUzGyFGjNdruijVr8PLlS6xevRpGpkawsbZGu3btOO0DIYaKl+cgiO4YUjgA+X8YxMXFYdiwYaUqHGS+/vprXL16FTt37sS9xy8gyctDSEgIHB0dNd5+tWrVUKFCBS5dJ6RU4C0gHj16hC1btuDff/9VKtcpEAhw6tQpvjZVbhhKODDG5JcTzc3NsWHDBk79kNH3Q3DNmzdHZGSk/Hsu4UBIecBLQNy9exc+Pj6oUqUK4uPj0bBhQyQmJuL169eoVq1aqZmywpAYSjiIxWLMmjULvr6+CAwM5NSHgvQdDoQQ9fHyHMTcuXPh7++Pe/fugTGG7du34+XLl4iIiEB2djaWLl3Kx2bKDUMJBwD466+/EBUVhe+//x7Jycmc+iFD4UBI6cLLGcT169exadMm+S8gWfWwHj16ICgoCMHBwTh79iwfmyrzDCkcAKBPnz54+vQp2rdvT7OyElLO8HIGkZKSAnt7ewiFQhgbGyMlJUX+WvPmzXH9+nU+NlPmGUo45ObmystyCoVCzJw5Ey1btuTUF4DCgZDSipeAqFKlChITEwEAHh4eiI6Olr92+/ZtWFlZ8bGZMs1QwkEsFmPGjBlYs2aNUu1mLigcCCm9eLnE1LZtW1y8eBG9evXC0KFDsXDhQrx9+xYmJibYtWsXhg0bxsdmyixDCQcAuHTpEqKjo2Fqaop+/frBzc2NU18ACgdCSjteAmLevHl48+YNAGD27NlISEjAnj17IBAIMGDAAKxcuZKPzZRJhhQOANCuXTvMnz8fVatWpXAgpJzjJSBq1qwpv5VVJBJh/fr1WL9+PR9Nl2mGEg5isRiMMfn2+/bty6kfMhQOhJQNnMcgUlJS0LdvXxw5cqTQdY4cOYK+ffsiKSmJ62bKLEMKhxkzZmDatGnIycnh1IeCKBwIKTs4B0RYWBhu3bqFbt26FbpOt27dcOfOHWzcSFW2CjKUcACAJ0+e4MqVK7h27RoePXrEqR8yFA6ElC2cA+L333/HuHHjYGRU+FUqIyMjjBs3Dn/99RfXzZQ5hhQOAODl5YUNGzZg3bp1qF+/Pqc2AAoHQsoizgHx8OFDNG/evNj1mjZtiocPH3LdTJliKOEgFosVnor29vaGj48Pp74AFA6ElFWcA0Iikag1972xsTFyc3O5bqbMMKRwCAoKwpgxY/D+/XtOfSiIwoGQsotzQLi4uCAuLq7Y9e7duwdnZ2eumykTDCUcACA5ORkPHz7EmzdvNC4b+ykKB0LKNs4B0aFDB2zatKnIs4Pc3Fxs3rwZnTp14roZjaWnp2PWrFnw8/ODk5MTBAIBFi1apHLd9evXw8fHB46OjjA1NYWrqysGDRqEe/fu8dYfQwoHIL9EaFhYGH788Uc0a9aMUxsAhQMh5QHngJg2bRru37+P3r17yx+SK+jNmzfo1asXHjx4gGnTpmnVSU0kJSVh69atyMnJQa9evYpdt3v37ggLC8OJEycQEhKCGzduoGXLlnjw4IHWfTGUcBCLxXjy5In8+6pVq8Lb25tTXwAKB0LKC84PyjVs2BAbN27EpEmTUL16dTRr1gzVq1cHADx9+hTXrl2DVCrF5s2b0aBBA946XBw3NzekpKRAIBAgMTERYWFhha4bEhKi8H2HDh3g4+ODunXrYs+ePVi8eDHnfhhSOAQFBeHGjRvYsmUL6taty6kfMhQOhJQfWj1JPW7cONSvXx/ff/89zpw5g9jYWAD5tX+7deuG4OBgre6O4UJW+YwrJycnACjy9t3iGEo4APmX+VJTUyEWi5Gens6pHzIUDoSUL1pPtdGqVStERERAKpXKZ3R1dHTkfI1cH/Ly8iCRSPD06VPMmTMHFStWxKhRowpdPycnR+Gp47S0NPn/G1I4AIClpSU2bdqE+Ph4NGrUiFMbQNkLBxMTE+Tl5UEkEhlEO4QYIt5qUguFQlSsWJGv5kqUpaWl/Bd+7dq1ERUVhWrVqhW6fmhoqNLlKcBwwkEsFuPWrVvycQZLS0uDDIfQ0FD5L9fg4GDO/eOCr+2VdL8JKUkG/Wd+VFQUBAKBWl83b97kvJ2LFy8iJiYGv/76K6ytrdGpU6ci72QKDg5Gamqq/Ovly5cAYBDhkJubixkzZmDChAn4+++/OfWhIF2eOYjFYuTl5UEsFmvdT0II/3g7g9AFT09PbNu2Ta11XV1dOW+nadOmAAAfHx989tln8PDwwNy5c/Hnn3+qXL+wAEhMTISDg4NeLysJhUJUqFABRkZGsLOz49QPmbJ2WYkQohmDDggXFxeMHTu2RLdpbW0NLy8vztOD6HvMQSQSYeHChRg+fDhq1arFqQ2AwoEQYuCXmPQhMTERd+7cgYeHh8bv5XoHFR9jDpGRkfISoSKRiMKBEKI1gz6D4OrYsWPIyMiQ39YZFxeHAwcOAAACAgJgYWGB1NRUdO3aFUOGDEGtWrVgbm6Ohw8fYt26dcjJycHChQtLpK/ahoNUKkVQUBCio6Px6tUrjB8/Xqv+UDgQQmTKZEBMnDgRz58/l38fHh6O8PBwAPkP8bm7u8PMzAyNGjXC1q1b8fLlS2RnZ8PZ2RkdO3bEH3/8ofUDZerga8yhRYsWuHz5Mho3bqxVfygcCCEFlcmAePbsWbHrmJqaqj0Argt8jTkAwLBhw9C1a1dUqlSJcxsUDoSQT9EYhB7wMeawc+dOhYkSKRwIIXwrk2cQhoyPM4d58+bhn3/+wYMHD7Bs2TKt+kPhQAgpDJ1BlCC+Liv17t0bNjY26N27t1b9oXAghBSFziBKCJ9jDq1bt8bRo0dhZWXFuQ0KB0JIcegMogTwMeawatUqpKSkyJdROBBCdI0CQsf4OHP4/vvv8euvv2LKlCnyh+G4onAghKiLAkKH+LqsNHLkSFStWhWTJ0/Wqt4FhQMhRBM0BqEjfI45uLu749ChQzA2NubcBoUDIURTdAahA3yMOcyfPx+PHj2SLytr4bB582a8e/cO//33HzIzM7VqixCiGxQQPOPjzGHTpk2IiIjAlClTtK6VYGjhkJmZielfT8bzB3Ho7GqLZhUtkZ3xESEhizi3SQjRDbrExCO+LiuNHj0ad+7cwZdffqnVL2NDCwcAWLx4MRwtjDClSRUYCfPHUzpUy8H662/w6NEjrWahJYTwi84geJSamso5HArenWRjY4OwsDC0bNmSc18MMRwAQJL5Ef5uFeThAABVrExR084Mu3bt0rp9Qgh/KCB4lJGRwXnMYcaMGThz5ox8WVm+W8lUpHx8zERCSCQS3rZBCNEeBQSPhEIhp8tK+/btw+nTpzF//nykpaVp1QdDDwepyAjnX6cqnDGli/MQl5SJHj168LYdQoj2aAzCAAwePBjx8fEICAiAjY0N53YMPRwA4KvJX+PHtWuw7XYCWrpYI12ch39efICRsRHat2/P67YIIdoRMG0fzSVIS0uDra0t/vrrL7i6uqr1nry8PIhEIt76UBrCQeb169f44YcfAHE2pIxBIhBh/fr1OtkWIUSR7PdVampqsX+Q0iUmPRCLxZg2bRrCwsJ4aa80hQMAVKlSBatWrYK1gxNsHSvCwcFBZ9sihHBHAaEHZ86cQXR0NLZt24Y3b95o1VZpCwdCSOlBYxB64O/vjzdv3qBu3bqoXLky53YoHAghukQBUULEYjGEQiGMjPIP+ahRo7Rqj8KBEKJrdImpBIjFYgQFBWHevHm83OtP4UAIKQl0BlEC4uLicPHiRYhEIsTHx8PLy4tzWxQOhJCSQgFRAho3boxVq1bB3NycwoEQUmqUuUtM6enpmDVrFvz8/ODk5ASBQIBFixYV+z7GGNq3bw+BQIDJkydr3Q+xWKzwVHTHjh3L5NxKhJCyq8wFRFJSErZu3YqcnBz06tVL7fdt3LgR8fHxvPRBNrfShAkTtJ46A6BwIIToR5kLCDc3N6SkpODs2bMIDQ1V6z3Pnj1DcHAwNm7cyEsfEhIScPfuXTx+/BiPHz/Wqi0KB0KIvpS5MQgus6B++eWX6Nq1K3r37s1LH1xdXbF161akpKSgSZMmnNuhcCCE6FOZCwhNhYWF4fLly4iLi1P7PTk5OcjJyZF/L7uM9O7dO/lcTNoWvqFwIIToW5m7xKSJ169fIygoCCtWrNDoiebQ0FDY2trKv6pVqwYAmDVrFp49e6Z1vygcCCGGwKDPIKKiotCpUye11r1x4wYaN26sUfsTJkxAo0aNMG7cOI3eFxwcjOnTp8u/T01NhaurK9LT0/HixQs4Ojpq1F5BsjMTe3t7SCQSpKena9wGY0xe2c7CwgLZ2dnIzs7m3CddKdgnPgbzCSHFk/1bU2cib4MOCE9PT2zbtk2tddWdZlvmwIEDOH78OM6fP4/U1FSF18RiMT58+ABLS0sYGxsrvdfU1BSmpqby72UHXCKRYMqUKRr1g+RbtmyZvrtASLmSnp4OW1vbItcx6IBwcXHB2LFjddL23bt3IZFI4OPjo/Tatm3bsG3bNhw6dEitW2UrV66Mly9fgjEGV1dXvHz5UqvCP2VRWloaqlWrRsdGBTo2haNjUziux0Z2hUGdy+oGHRC6NHLkSHTs2FFpeadOndCrVy988803qF+/vlptCYVCVK1aVX4mYWNjQx/mQtCxKRwdm8LRsSkcl2NT3JmDTJkMiGPHjiEjI0N+/T4uLg4HDhwAAAQEBMDCwgLu7u5wd3dX+f4qVaqoDA9CCClPymRATJw4Ec+fP5d/Hx4ejvDwcADA06dPCw0GQggh/1MmA0KbW021KdFtamqKhQsXKgxgk3x0bApHx6ZwdGwKVxLHRsC0+Y1ICCGkzCrXD8oRQggpHAUEIYQQlSggCCGEqEQBwQNDKVJkiNQ9Nnl5eVizZg26deuGqlWrwsLCAnXq1MGcOXPw4cOHEu93SdD0c3P9+nV06dIFVlZWsLOzQ58+ffDkyZOS67ABuHHjBnr16oXKlSvDwsICXl5eWLx4MTIzM/XdNYNw/vx5BAQEoEKFCjA3N0etWrWwZMkSzu1RQPDAEIoUGSp1j01WVhYWLVoENzc3rF27FkePHsW4ceOwdetWtGnTBllZWSXX6RKiyefm/v376NixI8RiMfbv348dO3bg4cOHaNeuHd6/f18yHdazuLg4tG7dGs+ePcPatWtx5MgRDBo0CIsXL8bgwYP13T29++2339ChQwfY2tpi9+7dOHr0KGbPnq3VnZlgRGtSqZRJpVLGGGPv379nANjChQuLfM/Tp0+ZlZUVO3jwIAPAvvrqqxLoaclT99hIJBKWmJiotDw8PJwBYL/88ouuu1riNPnc9O/fnzk6OrLU1FT5smfPnjFjY2M2a9askuiu3s2bN48BYPHx8QrLv/zySwaAJScn66ln+vfq1StmaWnJJk6cyGu7dAbBA4FAoHGhIr6LFBkqdY+NSCSCg4OD0vIWLVoAAF6+fMl73/RN3WMjkUhw5MgR9O3bV2FKBTc3N3Tq1AmHDh3SZTcNhmzizE+nibCzs4NQKCzXU9qHhYUhIyMDs2fP5rVdCgg9kBUp+vHHH/XdFYN3+vRpAEC9evX03BP9efz4MbKystCwYUOl1xo2bIj4+HiDnM6dbyNGjICdnR0mTpyIJ0+eID09HUeOHMGWLVvw1VdfwdLSUt9d1Jvo6GjY29vj/v37aNy4MYyMjFCxYkVMmDBBq6n0KSBKGNciReXR69evMWfOHDRv3hw9e/bUd3f0JikpCUB+jZBP2dvbgzGGlJSUku5WiXN3d0dMTAzu3r2LmjVrwsbGBoGBgRgxYgTWrVun7+7p1evXr5GZmYn+/ftj4MCBOHnyJGbOnIndu3cjICCA8zgEBcQnoqKi5Kf+xX3dvHlT4/a5FikyBLo+NgUlJyfLP9j79u2DUGjYH9WSODZFXY7iUotdn7gcr2fPniEwMBAODg44cOAAzp49ixUrVmDXrl06KwugD1yOjVQqRXZ2NubOnYvg4GB07NgRM2fORGhoKC5cuIBTp05x6kuZnItJG4ZapMgQ6PLYFJSSkoKuXbvi9evXOH36NGrUqMG5rZKiy2MjG5uRnUkUlJycDIFAADs7O43a1Dcux2vOnDlIS0vDzZs35ZeT2rdvD0dHR4wePRpffPEFOnTooLM+lxQux8bBwQGPHj2Cv7+/wuvdu3fH1KlT5bdIa4oC4hOlpUiRPujy2MikpKSgS5cuePr0KU6dOqXyursh0uWxqVmzJszNzXHnzh2l1+7cuQMPDw+YmZnpZNu6wuV43bx5E3Xr1lUaa/D29gaQ/++rLAQEl2PTsGFDxMbGKi2XXVriegZu2OftZczIkSNx5swZpS8A6NWrF86cOYO2bdvquZf6IwuHJ0+e4MSJE2jSpIm+u2QQjIyMEBgYiIMHDyrUKH/x4gXOnDmDPn366LF3Jady5cq4d+8ePn78qLA8JiYGAFC1alV9dMsg9O3bF0B+LZyCjh49CgAq/yhVB51B8ISKFBVOnWOTlZUFf39/3LhxA2vXroVEIlH4i8jJyQk1a9bUS/91SZ1jAwAhISHw9vZGz549MWfOHGRnZ2PBggVwdHTEjBkz9Nb/kjR16lT06tULXbt2xbRp0+Do6IjY2FiEhoaibt266N69u767qDd+fn4IDAzE4sWLIZVK4ePjg6tXryIkJAQ9e/bk/ocnr09VlGNubm4MgMqvp0+fFvlelOEH5RhT79g8ffq00HUAsBEjRuh1H3RFk8/N1atXma+vL7OwsGA2NjasV69eSg+NlXWnT59mfn5+zNnZmZmbm7PatWuzGTNmqHzIsrzJzMxks2fPZtWqVWNGRkbM1dWVBQcHs+zsbM5tUj0IQgghKtEYBCGEEJUoIAghhKhEAUEIIUQlCghCCCEqUUAQQghRiQKCEEKIShQQhBBCVKKAIIQQohIFBCGEEJUoIAghhKhEAUEIITzavHkzmjZtCmNjYyxatEjf3dEKBQQhhPDIxcUFISEhBlvXRRM03TchhPBIFgx//vmnfjvCAzqDKOV27dpVZM3aqKgofXexSLL+P3v2TN9dKdTFixexaNEifPjwgXMbXPZz/fr1EAgEqF+/fpHr3b59G2PGjJFXnjM3N0etWrUwfvx4XL16VaN+Ll68GHXr1oVUKgUALFq0CAKBAImJiRq1ow1D+Uzoqh/bt29HlSpVkJGRwWu7ukABUUbs3LkTMTExSl9NmzbVd9eK1KNHD8TExMDFxUXfXSnUxYsXERISolVAcLFjxw4IBALcu3cPly5dUrnOli1b0KxZM1y6dAnffPMNjhw5gsjISEydOhX37t2Dt7c3Hj9+rNb23rx5gxUrVmDx4sWcS1SS4o0YMQKWlpZYsWKFvrtSLLrEVEbUr18fzZs313c31JaZmQkLCws4OTnByclJ390xOFevXsWtW7cwa9YsrF27Ftu3b0fLli0V1rlw4QImTZqEHj164MCBAzAxMZG/1rlzZ3z11VcIDw+Hubm5Wttct24d7Ozsyk0JUy58fX1x4cIFla/NnDkTS5YsKbYNIyMjjB8/HkuWLMHs2bPlVQMNEf2ZUA5kZ2ejSZMm8PDwQGpqqnx5QkICnJ2d0bFjR+Tl5QH43yWFGzduoE+fPrCxsYGtrS2GDRuG9+/fK7T76NEjDBkyBBUrVoSpqSnq1KmDjRs3Km1f1ub169fRr18/VKhQQV4+9NPTeNm6t2/fRv/+/WFrawt7e3tMnz4dEokEDx48QLdu3WBtbQ13d3eVf4Vp2q979+5h8ODBsLW1RaVKlTB69Gj5cVq0aBFmzpwJAKhevbrSpbv4+HiMGjUKtWrVgoWFBapUqYLAwEDcuXNHw5+Sou3bt0MkEmHatGno2bMnfv/9d2RmZiqs8/3330MkEmHLli0K4VBQ//79Ubly5WK3JxaLsX37dgwZMqTYs4f79++jRo0aaNmyJf777z+F5YMHD0alSpVgamoKV1dXfPHFF8jJyQHAz7Hi4/MBAOfPn4evry+sra1hYWGB1q1bIzIystjtnzp1CtnZ2Sq/1AkHmaFDhyItLQ2///672u/RBwqIMiIvLw8SiUThS/ZL38zMDPv378d///2H0aNHAwCkUimGDh0Kxhj27t0LkUik0F7v3r3h4eGBAwcOYNGiRTh8+DD8/f2Rm5sLIL92sre3N+7evYvVq1fjyJEj6NGjB6ZMmYKQkBCVfezTpw88PDwQHh6On376qcj9GTBgABo1aoQ//vgD48aNww8//IBp06ahV69e6NGjBw4dOoTOnTtj9uzZOHjwoPx9XPrVt29f1K5dG3/88QfmzJmD3377DdOmTQMAjB07Fl9//TUA4ODBg0qX7t68eQMHBwcsW7YMx48fx8aNG2FkZISWLVviwYMHRe5jYbKysrB37150794dzs7OGDVqFNLT0xEeHi5fJy8vD2fOnEHz5s15uTx36dIlJCUloVOnTkWud/bsWbRu3RoNGzbEmTNnULFiRQDArVu34O3tjdjYWCxevBjHjh1DaGgocnJyIBaLAfB7rLh+PmT70LlzZ6SmpmL79u3Yu3cvrK2tERgYiH379mnUD1UkEgmys7Pl/yZl/1+Qs7MzvLy81AolveKrHirRj507dxZa01gkEimsu2/fPgaArV27li1YsIAJhUJ24sQJhXUWLlzIALBp06YpLN+zZw8DwH799VfGGGP+/v6satWqLDU1VWG9yZMnMzMzM5acnKzU5oIFCwrtv6z+smzd1atXK6zXuHFjhv9r715Domr+OIB/V3fX1dUHL6uZSiaZeam10lLSbVWQSCzspoZ4j9AuvoiiDAQD00wqoguEmWlWVLiEEkaxiflGW6QIqxeaoZjXzECsRXf9PS/E/Xfc423bzH/PfOC8OHNmzvzO7GlnZ84cA0ilUhnSxsfHydnZmXbv3m1IMyWu8+fPc/IeOnSIJBIJTUxMEBFRSUnJvP5vcSIinU5HY2NjtHr1ak4bTr/O2VRWVhIAqq6uNpzT1dWVFAqFIU9fXx8BoMTERN4YxsfHDdvUdcymuLiYAFBfXx8nfaqNBgcH6c6dOyQWiyknJ4f0ej0nX1RUFNnb29PAwMCcdf0c50Lb6lfvDyKi0NBQcnFxoZGREU4sa9euJQ8PD0N7LeQz44vx5628vNwoX1JSEi1btmxB515sbATxl6isrIRGo+Fs0x9sxsfHIzs7GydOnEBBQQFOnz6N6Oho3vMlJSUZlRUKhaivr4dWq4VarcauXbtgY2PDGbXExMRAq9WiqanJ6Jx79uyZ9/XExsZy9v38/CAQCLB9+3ZDmlAohLe3Nzo7OwHA5Lh27tzJ2ZfL5dBqtZzpk5nodDoUFhbC398fYrEYQqEQYrEYbW1t+PDhw7yv92dlZWWQyWSGNrC0tERycjIaGxvR1tY2Z/mgoCCIRCLDduHChTnL9PT0QCAQQCaT8R4/e/Ys0tLScO7cOVy+fJkzDfX9+3c0NDQgPj5+1udJ5mwrU+4PABgdHUVzczP27t0LW1tbQ/pUG3d3d5s88puSn58PIuJsaWlpRvlcXFwwMDAAnU73S/X9TqyD+Ev4+fkhODiYswUFBRnly8jIwPj4OIRCIXJycmY8n6urK2dfKBTCyckJQ0NDGBoagk6nw5UrVzhfRCKRCDExMQDAuyxyIVMhjo6OnH2xWAwbGxtIJBKjdK1WCwAmx+Xk5MTZt7KyAjA51TOXY8eOIS8vD3FxcaitrUVzczM0Gg0CAwPnVX669vZ2vHz5EklJSZznCunp6QAmVzYBgEwmg7W1NefLb8q9e/eg0WhQU1Mz73p//PgBkUhkNNU4paqqCu7u7khMTDQ6Njw8DL1eDw8Pj1nrMGdbmXJ/TMVKRLz34tSzmqGhoQXFYiqJRAIi4sS31LBVTP8ho6OjSE5Oho+PD/r7+3HgwIEZX+bp6+uDu7u7YV+n02FoaAhOTk5wcHAw/OI6fPgwb3kvLy+jNIFAYJ4LmYGpcf2KqqoqpKSkoLCwkJP+5csX2NvbL/h8t27d4v3F6efnh5CQEFRUVKCgoACWlpaIiorCs2fP0Nvby/nC8/f3B4AFrd+XyWQYGxvD6OgopFKp0fGnT58iISEBCoUCarUanp6ehmOOjo6wtLREd3f3rHWYu61M4eDgAAsLC/T29hod6+npAYAZR1Hm9vXrV1hZWXFGMksNG0H8h2RlZaGrqwsqlQplZWWoqanBpUuXePPevXuXs//w4UPodDpERETAxsYGkZGReP36NeRyudHIJTg42OhX+WL4XXHNNqIQCASG41OePHmCz58/L7gevV6PiooKbNiwAevXrzc6np6ejt7eXtTV1QEAcnNzodfrkZWVZVg8YCpfX18AmPGdCU9PTzQ2NsLKygoKhYIz1WVtbQ2lUolHjx7N+kKdOdvKVFKpFCEhIVCpVJzPc2JiAlVVVfDw8ICPj8+ixNLR0WHozJcqNoL4S7S2tvLOZa5atQrOzs64efMmqqqqUF5ejoCAAAQEBODIkSM4efIkwsLCsHnzZk45lUoFoVCI6OhovHv3Dnl5eQgMDER8fDyAyTXz4eHhUCgUyM7OxsqVKzEyMoL29nbU1tbixYsXi3Ld0/2OuNatW2c4d2pqKkQiEdasWQM7OzvExsbi9u3b8PX1hVwuR0tLC0pKSuacbuFTV1eHnp4eRERE4PHjx0bHp6ZPysrKEBsbi7CwMFy7dg1Hjx7Fxo0bcfDgQQQEBBh+IVdXVwMA/vnnnznrjoiIAAA0NTVBLpfz5lm+fDkaGhqwbds2bN26Fc+fPze85X3x4kWEh4cjJCQEp06dgre3N/r7+1FTU4MbN26Yva1+RVFREaKjoxEZGYnjx49DLBbj+vXraG1txf3793/7SBeY7JBevXqFzMzM317XL/mDD8gZM5htFRMAKi0tpbdv35K1tTWlpqZyymq1WgoKCqKVK1fS8PAwEf1vBUZLSwvt2LGDbG1tyc7Ojvbv30/9/f2c8p8+faKMjAxyd3cnkUhEzs7OtGXLFiooKODk+3klzEzxT1/FND1vamoqSaVSo/JKpZICAgLMGhff6pXc3Fxyc3MjCwsLAkD19fVERDQ8PEyZmZnk4uJCNjY2FB4eTo2NjaRUKkmpVM56zuni4uJm/SynNqFQyFlt9ObNG0pPTycvLy+ysrIiiURC3t7elJKSQmq1esb6plMoFBQTEzNnG3379o3CwsLI0dGRNBqNIf39+/e0b98+cnJyIrFYTCtWrKC0tDTSarVmaytz3B9ERI2NjRQVFUVSqZSsra0pNDSUamtrOXlMXcU0H2q12vDvbCkTEBEtSk/E/F/Iz8/HmTNnMDg4uGhzsczSUF1djYSEBHR2dnKePzHml5ycjI6Ojhnfyl4q2DMIhmEATL7IuGnTJhQVFf3pUP5qHz9+xIMHD1BcXPynQ5kT6yAYhgEw+RC5tLQUbm5uhr/myphfV1cXrl69ivDw8D8dypzYFBPDMAzDi40gGIZhGF6sg2AYhmF4sQ6CYRiG4cU6CIZhGIYX6yAYhmEYXqyDYBiGYXixDoJhGIbhxToIhmEYhhfrIBiGYRherINgGIZheLEOgmEYhuH1LzAB6hdSsZx6AAAAAElFTkSuQmCC" 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