# TARGET T0221 # Using neural net t04-2621-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 T0221.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 338.336 # Pos AA E B G H T C 10N 1S 5N 5N 5N 5N 5N 5N 1 M 0.008 0.003 0.003 0.006 0.094 0.886 2 K 0.025 0.014 0.010 0.015 0.118 0.817 3 T 0.017 0.021 0.012 0.019 0.125 0.807 4 I 0.017 0.031 0.015 0.021 0.180 0.737 5 Q 0.018 0.005 0.012 0.014 0.189 0.761 6 P 0.039 0.010 0.048 0.046 0.229 0.628 7 C 0.032 0.030 0.043 0.109 0.209 0.576 8 S 0.023 0.015 0.037 0.165 0.128 0.632 9 V 0.005 0.002 0.034 0.763 0.044 0.151 10 E 0.002 0.001 0.020 0.923 0.025 0.029 11 D 0.001 0.001 0.019 0.966 0.008 0.006 12 I 0.001 0.001 0.007 0.988 0.003 0.002 13 Q 0.001 0.001 0.003 0.995 0.001 0.001 14 S 0.001 0.001 0.001 0.997 0.001 0.001 15 W 0.001 0.001 0.001 0.997 0.001 0.001 16 L 0.001 0.001 0.001 0.999 0.001 0.001 17 I 0.001 0.001 0.001 0.999 0.001 0.001 18 D 0.001 0.001 0.001 0.999 0.001 0.001 19 Q 0.001 0.001 0.001 0.999 0.001 0.001 20 F 0.001 0.001 0.001 0.998 0.001 0.001 21 A 0.001 0.001 0.005 0.991 0.003 0.001 22 Q 0.001 0.001 0.005 0.992 0.002 0.001 23 Q 0.001 0.001 0.004 0.987 0.006 0.003 24 L 0.001 0.001 0.009 0.917 0.027 0.046 25 D 0.001 0.001 0.002 0.019 0.106 0.871 26 V 0.012 0.030 0.004 0.006 0.175 0.774 27 D 0.020 0.013 0.004 0.001 0.137 0.825 28 P 0.002 0.001 0.867 0.008 0.105 0.017 29 D 0.004 0.001 0.870 0.007 0.103 0.014 30 D 0.016 0.005 0.815 0.017 0.133 0.014 31 I 0.100 0.131 0.024 0.038 0.286 0.420 32 D 0.087 0.063 0.014 0.032 0.454 0.349 33 M 0.010 0.005 0.215 0.430 0.301 0.040 34 E 0.014 0.002 0.242 0.346 0.355 0.042 35 E 0.011 0.009 0.318 0.193 0.433 0.037 36 S 0.013 0.028 0.168 0.297 0.326 0.168 37 F 0.005 0.016 0.269 0.454 0.203 0.053 38 D 0.007 0.004 0.368 0.411 0.150 0.061 39 N 0.012 0.012 0.236 0.438 0.156 0.147 40 Y 0.011 0.019 0.073 0.376 0.172 0.350 41 D 0.007 0.011 0.005 0.018 0.163 0.796 42 L 0.008 0.026 0.008 0.059 0.252 0.648 43 N 0.009 0.013 0.018 0.082 0.240 0.637 44 S 0.008 0.009 0.072 0.716 0.073 0.123 45 S 0.002 0.002 0.041 0.915 0.015 0.024 46 K 0.001 0.001 0.021 0.968 0.005 0.005 47 A 0.001 0.001 0.010 0.985 0.002 0.001 48 L 0.001 0.001 0.006 0.990 0.003 0.001 49 I 0.001 0.001 0.006 0.991 0.002 0.001 50 L 0.001 0.001 0.005 0.992 0.002 0.001 51 L 0.001 0.001 0.001 0.998 0.001 0.001 52 G 0.001 0.001 0.002 0.996 0.001 0.001 53 R 0.001 0.001 0.005 0.993 0.001 0.001 54 L 0.001 0.001 0.005 0.992 0.001 0.001 55 E 0.001 0.001 0.010 0.980 0.005 0.004 56 K 0.001 0.001 0.010 0.974 0.010 0.006 57 W 0.001 0.001 0.009 0.943 0.020 0.026 58 L 0.001 0.002 0.008 0.712 0.050 0.227 59 G 0.002 0.001 0.006 0.016 0.086 0.889 60 K 0.017 0.003 0.014 0.015 0.123 0.828 61 E 0.094 0.024 0.016 0.019 0.128 0.719 62 L 0.110 0.037 0.010 0.022 0.156 0.665 63 N 0.088 0.007 0.005 0.009 0.232 0.659 64 P 0.196 0.003 0.091 0.098 0.332 0.281 65 V 0.494 0.005 0.077 0.169 0.139 0.117 66 L 0.702 0.005 0.071 0.139 0.057 0.026 67 I 0.693 0.008 0.019 0.169 0.048 0.063 68 F 0.666 0.011 0.018 0.090 0.096 0.119 69 N 0.346 0.012 0.012 0.099 0.237 0.293 70 Y 0.070 0.007 0.010 0.017 0.283 0.614 71 P 0.022 0.015 0.005 0.023 0.287 0.649 72 T 0.007 0.012 0.003 0.045 0.111 0.822 73 I 0.001 0.001 0.008 0.986 0.004 0.002 74 A 0.001 0.001 0.007 0.990 0.002 0.001 75 Q 0.001 0.001 0.006 0.990 0.003 0.001 76 L 0.001 0.001 0.003 0.992 0.002 0.002 77 A 0.001 0.001 0.002 0.995 0.001 0.001 78 K 0.001 0.001 0.003 0.992 0.003 0.002 79 R 0.001 0.001 0.003 0.988 0.005 0.004 80 L 0.001 0.001 0.004 0.985 0.006 0.004 81 G 0.001 0.001 0.022 0.952 0.017 0.008 82 E 0.001 0.001 0.040 0.912 0.028 0.019 83 L 0.001 0.001 0.029 0.867 0.033 0.069 84 Y 0.002 0.003 0.017 0.631 0.056 0.290 85 L 0.002 0.002 0.004 0.065 0.079 0.848