# TARGET T0353 # Using neural net t06-IDGaaH13-3-13-7-13-9-13-11-ebghtl-stride-seeded.net # This is a 4-layer network, with # window units # 3 13 # 7 13 # 9 13 # 11 6 (1 EBGHTL ) # The input amino acid frequencies were determined from # alignment T0353.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 4.37346 # Pos AA E B G H T C 10N 1S 5N 5N 5N 5N 5N 5N 1 M 0.065 0.001 0.001 0.001 0.029 0.904 2 Q 0.763 0.002 0.001 0.001 0.017 0.217 3 I 0.934 0.002 0.001 0.002 0.007 0.055 4 H 0.973 0.001 0.001 0.002 0.005 0.018 5 V 0.975 0.001 0.001 0.001 0.007 0.016 6 Y 0.955 0.001 0.001 0.002 0.014 0.028 7 D 0.810 0.001 0.002 0.004 0.079 0.103 8 T 0.669 0.001 0.009 0.008 0.173 0.141 9 Y 0.874 0.004 0.006 0.005 0.060 0.050 10 V 0.964 0.003 0.002 0.004 0.010 0.018 11 K 0.960 0.005 0.001 0.004 0.011 0.019 12 A 0.844 0.007 0.002 0.003 0.135 0.009 13 K 0.157 0.003 0.006 0.004 0.820 0.009 14 D 0.015 0.001 0.004 0.003 0.969 0.008 15 G 0.049 0.002 0.003 0.001 0.934 0.011 16 H 0.664 0.010 0.001 0.001 0.127 0.197 17 V 0.976 0.005 0.001 0.001 0.003 0.015 18 M 0.989 0.001 0.001 0.001 0.003 0.007 19 H 0.991 0.001 0.001 0.001 0.002 0.006 20 F 0.975 0.001 0.001 0.001 0.006 0.018 21 D 0.929 0.001 0.001 0.001 0.020 0.049 22 V 0.946 0.001 0.001 0.001 0.018 0.032 23 F 0.935 0.003 0.001 0.003 0.019 0.037 24 T 0.914 0.006 0.001 0.009 0.017 0.053 25 D 0.631 0.008 0.004 0.015 0.153 0.189 26 V 0.158 0.007 0.056 0.083 0.433 0.262 27 R 0.051 0.008 0.081 0.090 0.506 0.264 28 D 0.019 0.006 0.065 0.124 0.551 0.235 29 D 0.004 0.001 0.059 0.648 0.164 0.125 30 K 0.003 0.001 0.025 0.903 0.043 0.025 31 K 0.004 0.001 0.018 0.944 0.023 0.010 32 A 0.004 0.001 0.008 0.969 0.011 0.008 33 I 0.002 0.001 0.004 0.984 0.005 0.004 34 E 0.001 0.001 0.003 0.990 0.004 0.002 35 F 0.001 0.001 0.003 0.992 0.003 0.002 36 A 0.001 0.001 0.001 0.993 0.002 0.003 37 K 0.001 0.001 0.002 0.994 0.002 0.001 38 Q 0.001 0.001 0.003 0.987 0.007 0.003 39 W 0.001 0.001 0.004 0.974 0.013 0.009 40 L 0.002 0.001 0.009 0.959 0.018 0.011 41 S 0.004 0.001 0.021 0.918 0.038 0.019 42 S 0.005 0.001 0.018 0.861 0.060 0.055 43 I 0.010 0.005 0.020 0.716 0.093 0.155 44 G 0.040 0.010 0.025 0.206 0.285 0.435 45 E 0.060 0.008 0.079 0.186 0.418 0.250 46 E 0.096 0.020 0.077 0.173 0.425 0.209 47 G 0.070 0.007 0.066 0.091 0.512 0.253 48 A 0.127 0.007 0.035 0.033 0.393 0.405 49 T 0.310 0.039 0.023 0.030 0.216 0.382 50 V 0.392 0.061 0.014 0.025 0.180 0.328 51 T 0.280 0.033 0.015 0.027 0.269 0.377 52 S 0.069 0.006 0.218 0.104 0.438 0.164 53 E 0.068 0.003 0.359 0.110 0.363 0.098 54 E 0.092 0.010 0.366 0.133 0.308 0.091 55 C 0.129 0.031 0.147 0.121 0.351 0.221 56 R 0.189 0.021 0.068 0.099 0.292 0.332 57 F 0.258 0.046 0.072 0.183 0.192 0.249 58 C 0.225 0.051 0.044 0.214 0.214 0.252 59 H 0.162 0.038 0.069 0.214 0.227 0.290 60 S 0.038 0.007 0.362 0.152 0.316 0.127 61 Q 0.019 0.004 0.376 0.196 0.286 0.118 62 K 0.025 0.017 0.268 0.129 0.344 0.218 63 A 0.014 0.024 0.013 0.054 0.295 0.599 64 P 0.003 0.002 0.002 0.056 0.100 0.837 65 D 0.001 0.001 0.006 0.978 0.010 0.005 66 E 0.001 0.001 0.010 0.976 0.012 0.002 67 V 0.001 0.001 0.010 0.977 0.010 0.002 68 I 0.002 0.001 0.003 0.985 0.004 0.004 69 E 0.002 0.001 0.003 0.988 0.004 0.003 70 A 0.001 0.001 0.004 0.985 0.005 0.005 71 I 0.001 0.001 0.003 0.982 0.008 0.006 72 K 0.001 0.001 0.003 0.978 0.014 0.002 73 Q 0.002 0.001 0.006 0.935 0.045 0.011 74 N 0.003 0.001 0.008 0.424 0.332 0.233 75 G 0.018 0.002 0.006 0.020 0.448 0.507 76 Y 0.299 0.004 0.002 0.002 0.158 0.536 77 F 0.850 0.003 0.001 0.001 0.038 0.106 78 I 0.977 0.002 0.001 0.001 0.004 0.016 79 Y 0.984 0.001 0.001 0.001 0.003 0.011 80 K 0.965 0.001 0.001 0.002 0.005 0.027 81 M 0.870 0.004 0.007 0.005 0.044 0.070 82 E 0.528 0.007 0.013 0.009 0.178 0.265 83 G 0.176 0.007 0.020 0.013 0.253 0.532 84 C 0.088 0.025 0.004 0.009 0.156 0.718 85 N 0.005 0.001 0.001 0.001 0.014 0.980