# This file is the result of combining several RDB files, specifically # T0558.t06.str2.rdb (weight 1.54425) # T0558.t06.str4.rdb (weight 0.924988) # T0558.t06.pb.rdb (weight 0.789901) # T0558.t06.bys.rdb (weight 0.748322) # T0558.t06.alpha.rdb (weight 0.678173) # T0558.t04.str2.rdb (weight 1.54425) # T0558.t04.str4.rdb (weight 0.924988) # T0558.t04.pb.rdb (weight 0.789901) # T0558.t04.bys.rdb (weight 0.748322) # T0558.t04.alpha.rdb (weight 0.678173) # T0558.t2k.str2.rdb (weight 1.54425) # T0558.t2k.str4.rdb (weight 0.924988) # T0558.t2k.pb.rdb (weight 0.789901) # T0558.t2k.bys.rdb (weight 0.748322) # T0558.t2k.alpha.rdb (weight 0.678173) # These files were combined by translating their predictions into EHL # predictions with tables generated by compare-real, and then combining # those predictions with weights proportional to their mutual information # with the EHL alphabet. The comments from the individual files follow. # # Comments from T0558.t06.str2.rdb # ============================================ # TARGET T0558 # Using neural net dunbrack-40pc-3157-t06-IDGaaH13-3-13-7-13-9-13-11-str2-seeded.net # This is a 4-layer network, with # window units # 3 13 # 7 13 # 9 13 # 11 13 (1 str2 ) # The input amino acid frequencies were determined from # alignment T0558.t06-thin90.a2m.gz # with weighted counts, using HenikoffWeight(1.3 bits/column, 1) # The weighting was determined by the posterior distribution # after regularizing with /projects/compbio/lib/recode3.20comp. # Counts were regularized to probabilities using # /projects/compbio/lib/recode3.20comp # Total sequence weight for alignment was 5856 # # ============================================ # Comments from T0558.t06.str4.rdb # ============================================ # TARGET T0558 # Using neural net dunbrack-40pc-3157-t06-IDGaaH13-3-13-7-13-9-13-11-str4-seeded.net # This is a 4-layer network, with # window units # 3 13 # 7 13 # 9 13 # 11 21 (1 str4 ) # The input amino acid frequencies were determined from # alignment T0558.t06-thin90.a2m.gz # with weighted counts, using HenikoffWeight(1.3 bits/column, 1) # The weighting was determined by the posterior distribution # after regularizing with /projects/compbio/lib/recode3.20comp. # Counts were regularized to probabilities using # /projects/compbio/lib/recode3.20comp # Total sequence weight for alignment was 5856 # # ============================================ # Comments from T0558.t06.pb.rdb # ============================================ # TARGET T0558 # Using neural net dunbrack-40pc-3157-t06-IDGaaH13-3-13-7-13-9-13-11-pb-seeded.net # This is a 4-layer network, with # window units # 3 13 # 7 13 # 9 13 # 11 16 (1 pb ) # The input amino acid frequencies were determined from # alignment T0558.t06-thin90.a2m.gz # with weighted counts, using HenikoffWeight(1.3 bits/column, 1) # The weighting was determined by the posterior distribution # after regularizing with /projects/compbio/lib/recode3.20comp. # Counts were regularized to probabilities using # /projects/compbio/lib/recode3.20comp # Total sequence weight for alignment was 5856 # # ============================================ # Comments from T0558.t06.bys.rdb # ============================================ # TARGET T0558 # Using neural net dunbrack-40pc-3157-t06-IDGaaH13-3-13-7-13-9-13-11-bys-seeded.net # This is a 4-layer network, with # window units # 3 13 # 7 13 # 9 13 # 11 11 (1 Bystroff ) # The input amino acid frequencies were determined from # alignment T0558.t06-thin90.a2m.gz # with weighted counts, using HenikoffWeight(1.3 bits/column, 1) # The weighting was determined by the posterior distribution # after regularizing with /projects/compbio/lib/recode3.20comp. # Counts were regularized to probabilities using # /projects/compbio/lib/recode3.20comp # Total sequence weight for alignment was 5856 # # ============================================ # Comments from T0558.t06.alpha.rdb # ============================================ # TARGET T0558 # Using neural net dunbrack-40pc-3157-t06-IDGaaH13-3-13-7-13-9-13-11-alpha-seeded.net # This is a 4-layer network, with # window units # 3 13 # 7 13 # 9 13 # 11 11 (1 ABCDEFGHIST ) # The input amino acid frequencies were determined from # alignment T0558.t06-thin90.a2m.gz # with weighted counts, using HenikoffWeight(1.3 bits/column, 1) # The weighting was determined by the posterior distribution # after regularizing with /projects/compbio/lib/recode3.20comp. # Counts were regularized to probabilities using # /projects/compbio/lib/recode3.20comp # Total sequence weight for alignment was 5856 # # ============================================ # Comments from T0558.t04.str2.rdb # ============================================ # TARGET T0558 # Using neural net dunbrack-40pc-3157-t04-IDGaaH13-3-13-7-13-9-13-11-str2-seeded.net # This is a 4-layer network, with # window units # 3 13 # 7 13 # 9 13 # 11 13 (1 str2 ) # The input amino acid frequencies were determined from # alignment T0558.t04-thin90.a2m.gz # with weighted counts, using HenikoffWeight(1.3 bits/column, 1) # The weighting was determined by the posterior distribution # after regularizing with /projects/compbio/lib/recode3.20comp. # Counts were regularized to probabilities using # /projects/compbio/lib/recode3.20comp # Total sequence weight for alignment was 2888 # # ============================================ # Comments from T0558.t04.str4.rdb # ============================================ # TARGET T0558 # Using neural net dunbrack-40pc-3157-t04-IDGaaH13-3-13-7-13-9-13-11-str4-seeded.net # This is a 4-layer network, with # window units # 3 13 # 7 13 # 9 13 # 11 21 (1 str4 ) # The input amino acid frequencies were determined from # alignment T0558.t04-thin90.a2m.gz # with weighted counts, using HenikoffWeight(1.3 bits/column, 1) # The weighting was determined by the posterior distribution # after regularizing with /projects/compbio/lib/recode3.20comp. # Counts were regularized to probabilities using # /projects/compbio/lib/recode3.20comp # Total sequence weight for alignment was 2888 # # ============================================ # Comments from T0558.t04.pb.rdb # ============================================ # TARGET T0558 # Using neural net dunbrack-40pc-3157-t04-IDGaaH13-3-13-7-13-9-13-11-pb-seeded.net # This is a 4-layer network, with # window units # 3 13 # 7 13 # 9 13 # 11 16 (1 pb ) # The input amino acid frequencies were determined from # alignment T0558.t04-thin90.a2m.gz # with weighted counts, using HenikoffWeight(1.3 bits/column, 1) # The weighting was determined by the posterior distribution # after regularizing with /projects/compbio/lib/recode3.20comp. # Counts were regularized to probabilities using # /projects/compbio/lib/recode3.20comp # Total sequence weight for alignment was 2888 # # ============================================ # Comments from T0558.t04.bys.rdb # ============================================ # TARGET T0558 # Using neural net dunbrack-40pc-3157-t04-IDGaaH13-3-13-7-13-9-13-11-bys-seeded.net # This is a 4-layer network, with # window units # 3 13 # 7 13 # 9 13 # 11 11 (1 Bystroff ) # The input amino acid frequencies were determined from # alignment T0558.t04-thin90.a2m.gz # with weighted counts, using HenikoffWeight(1.3 bits/column, 1) # The weighting was determined by the posterior distribution # after regularizing with /projects/compbio/lib/recode3.20comp. # Counts were regularized to probabilities using # /projects/compbio/lib/recode3.20comp # Total sequence weight for alignment was 2888 # # ============================================ # Comments from T0558.t04.alpha.rdb # ============================================ # TARGET T0558 # Using neural net dunbrack-40pc-3157-t04-IDGaaH13-3-13-7-13-9-13-11-alpha-seeded.net # This is a 4-layer network, with # window units # 3 13 # 7 13 # 9 13 # 11 11 (1 ABCDEFGHIST ) # The input amino acid frequencies were determined from # alignment T0558.t04-thin90.a2m.gz # with weighted counts, using HenikoffWeight(1.3 bits/column, 1) # The weighting was determined by the posterior distribution # after regularizing with /projects/compbio/lib/recode3.20comp. # Counts were regularized to probabilities using # /projects/compbio/lib/recode3.20comp # Total sequence weight for alignment was 2888 # # ============================================ # Comments from T0558.t2k.str2.rdb # ============================================ # TARGET T0558 # Using neural net dunbrack-40pc-3157-t2k-IDGaaH13-3-13-7-13-9-13-11-str2-seeded.net # This is a 4-layer network, with # window units # 3 13 # 7 13 # 9 13 # 11 13 (1 str2 ) # The input amino acid frequencies were determined from # alignment T0558.t2k-thin90.a2m.gz # with weighted counts, using HenikoffWeight(1.3 bits/column, 1) # The weighting was determined by the posterior distribution # after regularizing with /projects/compbio/lib/recode3.20comp. # Counts were regularized to probabilities using # /projects/compbio/lib/recode3.20comp # Total sequence weight for alignment was 64 # # ============================================ # Comments from T0558.t2k.str4.rdb # ============================================ # TARGET T0558 # Using neural net dunbrack-40pc-3157-t2k-IDGaaH13-3-13-7-13-9-13-11-str4-seeded.net # This is a 4-layer network, with # window units # 3 13 # 7 13 # 9 13 # 11 21 (1 str4 ) # The input amino acid frequencies were determined from # alignment T0558.t2k-thin90.a2m.gz # with weighted counts, using HenikoffWeight(1.3 bits/column, 1) # The weighting was determined by the posterior distribution # after regularizing with /projects/compbio/lib/recode3.20comp. # Counts were regularized to probabilities using # /projects/compbio/lib/recode3.20comp # Total sequence weight for alignment was 64 # # ============================================ # Comments from T0558.t2k.pb.rdb # ============================================ # TARGET T0558 # Using neural net dunbrack-40pc-3157-t2k-IDGaaH13-3-13-7-13-9-13-11-pb-seeded.net # This is a 4-layer network, with # window units # 3 13 # 7 13 # 9 13 # 11 16 (1 pb ) # The input amino acid frequencies were determined from # alignment T0558.t2k-thin90.a2m.gz # with weighted counts, using HenikoffWeight(1.3 bits/column, 1) # The weighting was determined by the posterior distribution # after regularizing with /projects/compbio/lib/recode3.20comp. # Counts were regularized to probabilities using # /projects/compbio/lib/recode3.20comp # Total sequence weight for alignment was 64 # # ============================================ # Comments from T0558.t2k.bys.rdb # ============================================ # TARGET T0558 # Using neural net dunbrack-40pc-3157-t2k-IDGaaH13-3-13-7-13-9-13-11-bys-seeded.net # This is a 4-layer network, with # window units # 3 13 # 7 13 # 9 13 # 11 11 (1 Bystroff ) # The input amino acid frequencies were determined from # alignment T0558.t2k-thin90.a2m.gz # with weighted counts, using HenikoffWeight(1.3 bits/column, 1) # The weighting was determined by the posterior distribution # after regularizing with /projects/compbio/lib/recode3.20comp. # Counts were regularized to probabilities using # /projects/compbio/lib/recode3.20comp # Total sequence weight for alignment was 64 # # ============================================ # Comments from T0558.t2k.alpha.rdb # ============================================ # TARGET T0558 # Using neural net dunbrack-40pc-3157-t2k-IDGaaH13-3-13-7-13-9-13-11-alpha-seeded.net # This is a 4-layer network, with # window units # 3 13 # 7 13 # 9 13 # 11 11 (1 ABCDEFGHIST ) # The input amino acid frequencies were determined from # alignment T0558.t2k-thin90.a2m.gz # with weighted counts, using HenikoffWeight(1.3 bits/column, 1) # The weighting was determined by the posterior distribution # after regularizing with /projects/compbio/lib/recode3.20comp. # Counts were regularized to probabilities using # /projects/compbio/lib/recode3.20comp # Total sequence weight for alignment was 64 # # ============================================ Pos AA E H C 10N 1S 5N 5N 5N 1 M 0.0803 0.6475 0.2723 2 K 0.0428 0.7774 0.1798 3 N 0.0210 0.8685 0.1105 4 F 0.0134 0.9016 0.0850 5 I 0.0105 0.9178 0.0717 6 L 0.0087 0.9227 0.0686 7 L 0.0085 0.9221 0.0694 8 V 0.0083 0.9213 0.0703 9 A 0.0090 0.9139 0.0770 10 L 0.0114 0.8905 0.0982 11 F 0.0189 0.8357 0.1455 12 L 0.0499 0.6855 0.2646 13 V 0.1134 0.4651 0.4215 14 A 0.1885 0.2207 0.5909 15 P 0.1397 0.3262 0.5341 16 F 0.1193 0.4028 0.4778 17 A 0.1086 0.4438 0.4475 18 Q 0.1231 0.3190 0.5579 19 G 0.1503 0.2119 0.6377 20 S 0.2110 0.1432 0.6459 21 S 0.1957 0.0603 0.7440 22 P 0.0893 0.3143 0.5963 23 Q 0.0964 0.2696 0.6340 24 H 0.1957 0.2180 0.5862 25 L 0.4298 0.1196 0.4506 26 L 0.5804 0.0818 0.3378 27 V 0.6274 0.0788 0.2939 28 G 0.5934 0.0833 0.3232 29 G 0.5066 0.0958 0.3976 30 S 0.3750 0.1149 0.5101 31 G 0.2705 0.1278 0.6017 32 W 0.2453 0.1442 0.6105 33 N 0.2412 0.1175 0.6413 34 K 0.4392 0.0669 0.4940 35 I 0.6950 0.0186 0.2864 36 A 0.7733 0.0090 0.2177 37 I 0.8073 0.0072 0.1855 38 I 0.7777 0.0115 0.2108 39 N 0.6719 0.0195 0.3087 40 K 0.4288 0.1474 0.4238 41 D 0.2042 0.2375 0.5583 42 T 0.1334 0.1366 0.7300 43 K 0.1677 0.0852 0.7471 44 E 0.4853 0.0302 0.4845 45 I 0.6688 0.0201 0.3111 46 V 0.7125 0.0235 0.2640 47 W 0.7433 0.0229 0.2338 48 E 0.6875 0.0315 0.2810 49 Y 0.6302 0.0200 0.3498 50 P 0.4623 0.0387 0.4990 51 L 0.2706 0.1386 0.5908 52 E 0.1763 0.2443 0.5794 53 K 0.1311 0.1567 0.7123 54 G 0.1326 0.1057 0.7617 55 W 0.2706 0.0830 0.6465 56 E 0.3880 0.0861 0.5258 57 C 0.4227 0.1089 0.4684 58 N 0.4221 0.1189 0.4590 59 S 0.4924 0.1130 0.3946 60 V 0.5850 0.0865 0.3285 61 A 0.6101 0.0617 0.3283 62 A 0.5353 0.0684 0.3964 63 T 0.3113 0.0440 0.6447 64 K 0.1373 0.2859 0.5768 65 A 0.1225 0.1375 0.7400 66 G 0.1938 0.0732 0.7330 67 E 0.5509 0.0183 0.4308 68 I 0.7480 0.0101 0.2419 69 L 0.7814 0.0112 0.2074 70 F 0.7727 0.0150 0.2123 71 S 0.5912 0.0296 0.3793 72 Y 0.3726 0.1041 0.5233 73 S 0.2401 0.1223 0.6375 74 K 0.2019 0.1102 0.6879 75 G 0.4023 0.0625 0.5352 76 A 0.6945 0.0170 0.2885 77 K 0.7690 0.0113 0.2197 78 M 0.7765 0.0103 0.2132 79 I 0.7462 0.0121 0.2416 80 T 0.4866 0.0180 0.4953 81 R 0.1769 0.2780 0.5451 82 D 0.1063 0.1378 0.7559 83 G 0.1014 0.0820 0.8166 84 R 0.3766 0.0211 0.6023 85 E 0.6451 0.0148 0.3401 86 L 0.6965 0.0265 0.2770 87 W 0.7434 0.0256 0.2311 88 N 0.7202 0.0236 0.2562 89 I 0.6658 0.0359 0.2983 90 A 0.5381 0.0485 0.4134 91 A 0.2845 0.0352 0.6802 92 P 0.1765 0.1859 0.6376 93 A 0.1151 0.1682 0.7167 94 G 0.0933 0.1019 0.8048 95 C 0.3012 0.0301 0.6687 96 E 0.5181 0.0281 0.4538 97 M 0.5716 0.0374 0.3910 98 Q 0.5213 0.0518 0.4269 99 T 0.6116 0.0492 0.3392 100 A 0.6186 0.0487 0.3328 101 R 0.6916 0.0241 0.2843 102 I 0.6179 0.0253 0.3567 103 L 0.3424 0.0164 0.6412 104 P 0.1297 0.2659 0.6044 105 D 0.0871 0.1563 0.7566 106 G 0.1458 0.0883 0.7659 107 N 0.4199 0.0280 0.5521 108 A 0.7265 0.0117 0.2618 109 L 0.7814 0.0077 0.2109 110 V 0.8171 0.0055 0.1774 111 A 0.7695 0.0120 0.2185 112 W 0.7173 0.0259 0.2568 113 C 0.4908 0.0613 0.4479 114 G 0.1977 0.0671 0.7353 115 H 0.2408 0.0423 0.7169 116 P 0.2021 0.1204 0.6775 117 S 0.2881 0.1207 0.5912 118 T 0.6035 0.0381 0.3584 119 I 0.7494 0.0154 0.2351 120 L 0.7921 0.0100 0.1978 121 E 0.7892 0.0073 0.2035 122 V 0.7469 0.0141 0.2389 123 N 0.4786 0.0147 0.5067 124 M 0.1739 0.3021 0.5239 125 K 0.1205 0.1427 0.7368 126 G 0.1462 0.0834 0.7703 127 E 0.4112 0.0307 0.5581 128 V 0.6332 0.0330 0.3338 129 L 0.6187 0.0661 0.3151 130 S 0.6568 0.0581 0.2851 131 K 0.6794 0.0429 0.2777 132 T 0.6817 0.0210 0.2973 133 E 0.6693 0.0194 0.3114 134 F 0.4829 0.0609 0.4562 135 E 0.3185 0.1453 0.5362 136 T 0.1760 0.1571 0.6669 137 G 0.1297 0.1057 0.7646 138 I 0.2493 0.1107 0.6400 139 E 0.2715 0.1329 0.5956 140 R 0.2446 0.0802 0.6752 141 P 0.1317 0.3035 0.5647 142 H 0.1430 0.3658 0.4912 143 A 0.1672 0.4034 0.4294 144 Q 0.2000 0.3632 0.4368 145 F 0.2122 0.4248 0.3629 146 R 0.2334 0.4261 0.3405 147 Q 0.3302 0.3225 0.3472 148 I 0.3616 0.2723 0.3661 149 N 0.4423 0.1562 0.4015 150 K 0.4093 0.1368 0.4539 151 N 0.2739 0.0471 0.6791 152 K 0.0865 0.3631 0.5504 153 K 0.0609 0.2004 0.7387 154 G 0.1228 0.0835 0.7937 155 N 0.3652 0.0430 0.5918 156 Y 0.6848 0.0244 0.2908 157 L 0.7363 0.0235 0.2403 158 V 0.7150 0.0200 0.2650 159 P 0.5801 0.0864 0.3336 160 L 0.4521 0.1943 0.3536 161 F 0.3339 0.2098 0.4563 162 A 0.2149 0.2142 0.5710 163 T 0.1612 0.1972 0.6416 164 S 0.2049 0.1651 0.6300 165 E 0.5046 0.0933 0.4021 166 V 0.6841 0.0627 0.2532 167 R 0.7117 0.0457 0.2425 168 E 0.7435 0.0231 0.2334 169 I 0.6921 0.0261 0.2818 170 A 0.4469 0.0188 0.5343 171 P 0.1421 0.3095 0.5484 172 N 0.0797 0.1663 0.7540 173 G 0.1395 0.0710 0.7895 174 Q 0.3771 0.0196 0.6033 175 L 0.6552 0.0146 0.3302 176 L 0.6820 0.0275 0.2905 177 N 0.7532 0.0213 0.2255 178 S 0.7730 0.0128 0.2143 179 V 0.7662 0.0126 0.2211 180 K 0.7103 0.0144 0.2753 181 L 0.5146 0.0447 0.4408 182 S 0.2045 0.0922 0.7033 183 G 0.0844 0.0948 0.8208 184 T 0.2782 0.0229 0.6989 185 P 0.4558 0.0463 0.4979 186 F 0.5088 0.0634 0.4278 187 S 0.6011 0.0632 0.3357 188 S 0.6394 0.0849 0.2758 189 A 0.6848 0.0548 0.2605 190 F 0.6656 0.0394 0.2950 191 L 0.4617 0.0323 0.5060 192 D 0.2092 0.1966 0.5943 193 N 0.1004 0.1356 0.7640 194 G 0.1390 0.0707 0.7903 195 D 0.4176 0.0243 0.5582 196 C 0.7422 0.0107 0.2471 197 L 0.7738 0.0078 0.2183 198 V 0.8129 0.0066 0.1805 199 A 0.7534 0.0107 0.2358 200 C 0.6345 0.0315 0.3340 201 G 0.3364 0.0540 0.6096 202 D 0.2336 0.1101 0.6564 203 A 0.1941 0.1309 0.6751 204 H 0.3490 0.0851 0.5659 205 C 0.6532 0.0202 0.3265 206 F 0.7464 0.0096 0.2440 207 V 0.7876 0.0078 0.2046 208 Q 0.8015 0.0057 0.1929 209 L 0.7790 0.0098 0.2112 210 N 0.6011 0.0092 0.3898 211 L 0.2394 0.3078 0.4528 212 E 0.1323 0.2817 0.5860 213 S 0.1164 0.1397 0.7439 214 N 0.1157 0.0983 0.7860 215 R 0.5042 0.0205 0.4753 216 I 0.6706 0.0164 0.3131 217 V 0.7422 0.0189 0.2388 218 R 0.7763 0.0160 0.2077 219 R 0.7297 0.0204 0.2499 220 V 0.6671 0.0355 0.2974 221 N 0.4171 0.0474 0.5355 222 A 0.1545 0.2949 0.5506 223 N 0.1132 0.2704 0.6164 224 D 0.1472 0.1966 0.6562 225 I 0.1796 0.1786 0.6418 226 E 0.1158 0.2140 0.6701 227 G 0.0839 0.1284 0.7878 228 V 0.2793 0.0629 0.6578 229 Q 0.4400 0.0722 0.4878 230 L 0.5342 0.0822 0.3836 231 F 0.5291 0.0772 0.3936 232 F 0.4928 0.0548 0.4524 233 V 0.4176 0.0993 0.4831 234 A 0.4076 0.0978 0.4946 235 Q 0.5324 0.0672 0.4004 236 L 0.5995 0.0536 0.3469 237 F 0.6422 0.0203 0.3375 238 P 0.5944 0.0205 0.3851 239 L 0.3734 0.0259 0.6007 240 Q 0.1891 0.2128 0.5981 241 N 0.1164 0.1323 0.7514 242 G 0.1614 0.0737 0.7649 243 G 0.4275 0.0226 0.5500 244 L 0.7398 0.0072 0.2530 245 Y 0.8060 0.0054 0.1887 246 I 0.8078 0.0054 0.1868 247 C 0.7588 0.0127 0.2285 248 N 0.5971 0.0285 0.3743 249 W 0.3521 0.1057 0.5422 250 Q 0.2004 0.1253 0.6743 251 G 0.1710 0.1220 0.7071 252 H 0.2224 0.1544 0.6232 253 D 0.3023 0.1778 0.5199 254 R 0.3367 0.2687 0.3945 255 E 0.3742 0.2346 0.3913 256 A 0.3044 0.1863 0.5093 257 G 0.2077 0.1387 0.6536 258 K 0.1748 0.1423 0.6829 259 G 0.1206 0.1276 0.7518 260 K 0.1844 0.1038 0.7119 261 H 0.3547 0.0282 0.6171 262 P 0.4109 0.0389 0.5502 263 Q 0.6363 0.0210 0.3427 264 L 0.7823 0.0075 0.2102 265 V 0.7890 0.0086 0.2025 266 E 0.7887 0.0060 0.2053 267 I 0.7549 0.0083 0.2368 268 D 0.4747 0.0109 0.5143 269 S 0.1572 0.3078 0.5350 270 E 0.0680 0.1745 0.7576 271 G 0.1233 0.0711 0.8055 272 K 0.4334 0.0140 0.5527 273 V 0.6979 0.0079 0.2942 274 V 0.7308 0.0108 0.2584 275 W 0.8056 0.0076 0.1867 276 Q 0.7673 0.0088 0.2239 277 L 0.7086 0.0321 0.2593 278 N 0.5126 0.0825 0.4048 279 D 0.3261 0.0947 0.5792 280 K 0.2579 0.2110 0.5311 281 V 0.2869 0.2391 0.4740 282 K 0.3184 0.1991 0.4826 283 F 0.3410 0.1147 0.5442 284 G 0.4205 0.0614 0.5182 285 M 0.6306 0.0324 0.3370 286 I 0.6640 0.0380 0.2980 287 S 0.6164 0.0416 0.3420 288 T 0.6792 0.0334 0.2874 289 I 0.6501 0.0371 0.3128 290 C 0.6544 0.0203 0.3253 291 P 0.5379 0.0379 0.4242 292 I 0.3503 0.0743 0.5754 293 R 0.1961 0.1334 0.6706 294 E 0.1341 0.1823 0.6836