# TARGET T0207 # 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 T0207.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 215 # Pos AA E B G H T C 10N 1S 5N 5N 5N 5N 5N 5N 1 M 0.137 0.002 0.001 0.001 0.093 0.766 2 A 0.811 0.003 0.001 0.001 0.025 0.160 3 L 0.981 0.001 0.001 0.001 0.003 0.015 4 T 0.993 0.001 0.001 0.001 0.002 0.005 5 L 0.989 0.001 0.001 0.001 0.003 0.008 6 Y 0.901 0.001 0.001 0.001 0.015 0.083 7 Q 0.423 0.005 0.001 0.002 0.107 0.461 8 R 0.103 0.022 0.008 0.007 0.462 0.398 9 D 0.031 0.020 0.030 0.031 0.616 0.272 10 D 0.022 0.014 0.112 0.044 0.698 0.110 11 C 0.039 0.018 0.177 0.071 0.595 0.101 12 H 0.036 0.020 0.241 0.173 0.310 0.220 13 L 0.024 0.020 0.104 0.304 0.233 0.316 14 C 0.011 0.007 0.035 0.498 0.178 0.271 15 D 0.001 0.001 0.048 0.881 0.046 0.023 16 Q 0.001 0.001 0.035 0.943 0.016 0.005 17 A 0.001 0.001 0.015 0.974 0.008 0.003 18 V 0.001 0.001 0.004 0.987 0.004 0.004 19 E 0.001 0.001 0.003 0.990 0.004 0.003 20 A 0.001 0.001 0.003 0.989 0.004 0.002 21 L 0.001 0.001 0.004 0.985 0.006 0.005 22 A 0.001 0.001 0.009 0.973 0.011 0.006 23 Q 0.001 0.001 0.015 0.942 0.026 0.015 24 A 0.003 0.001 0.021 0.808 0.059 0.109 25 R 0.009 0.004 0.033 0.191 0.194 0.569 26 A 0.035 0.005 0.032 0.034 0.293 0.601 27 G 0.132 0.002 0.026 0.008 0.221 0.610 28 A 0.679 0.005 0.011 0.004 0.087 0.213 29 F 0.928 0.002 0.002 0.003 0.014 0.051 30 F 0.966 0.001 0.001 0.002 0.006 0.025 31 S 0.958 0.001 0.001 0.003 0.006 0.033 32 V 0.898 0.004 0.001 0.007 0.010 0.079 33 F 0.759 0.004 0.002 0.007 0.050 0.178 34 I 0.410 0.011 0.005 0.008 0.137 0.430 35 D 0.170 0.013 0.013 0.006 0.334 0.463 36 D 0.035 0.015 0.012 0.025 0.399 0.514 37 D 0.007 0.006 0.006 0.048 0.207 0.727 38 A 0.001 0.001 0.017 0.954 0.021 0.008 39 A 0.001 0.001 0.018 0.955 0.021 0.006 40 L 0.001 0.001 0.017 0.966 0.013 0.002 41 E 0.002 0.001 0.018 0.962 0.014 0.004 42 S 0.001 0.001 0.029 0.947 0.014 0.009 43 A 0.003 0.002 0.053 0.872 0.034 0.036 44 Y 0.005 0.003 0.048 0.596 0.101 0.246 45 G 0.002 0.001 0.001 0.001 0.039 0.956 46 L 0.124 0.009 0.002 0.001 0.076 0.789 47 R 0.545 0.006 0.001 0.001 0.045 0.403 48 V 0.857 0.005 0.001 0.001 0.014 0.123 49 P 0.892 0.002 0.001 0.001 0.017 0.089 50 V 0.929 0.001 0.001 0.001 0.010 0.059 51 L 0.940 0.001 0.001 0.001 0.009 0.049 52 R 0.874 0.010 0.001 0.001 0.014 0.101 53 D 0.667 0.013 0.001 0.001 0.277 0.040 54 P 0.111 0.004 0.003 0.001 0.823 0.057 55 M 0.022 0.002 0.006 0.002 0.926 0.043 56 G 0.229 0.027 0.006 0.002 0.687 0.049 57 R 0.605 0.027 0.004 0.005 0.112 0.246 58 E 0.734 0.103 0.004 0.005 0.059 0.095 59 L 0.587 0.051 0.007 0.007 0.125 0.223 60 D 0.260 0.026 0.015 0.008 0.327 0.364 61 W 0.111 0.010 0.022 0.005 0.547 0.305 62 P 0.075 0.033 0.034 0.008 0.423 0.428 63 F 0.044 0.044 0.016 0.011 0.390 0.496 64 D 0.008 0.008 0.006 0.027 0.259 0.691 65 A 0.001 0.001 0.026 0.882 0.051 0.040 66 P 0.001 0.001 0.029 0.954 0.013 0.003 67 R 0.001 0.001 0.032 0.954 0.011 0.002 68 L 0.001 0.001 0.014 0.973 0.007 0.004 69 R 0.001 0.001 0.009 0.983 0.004 0.004 70 A 0.001 0.001 0.007 0.982 0.006 0.005 71 W 0.001 0.001 0.006 0.980 0.008 0.006 72 L 0.001 0.001 0.007 0.970 0.014 0.008 73 D 0.001 0.001 0.009 0.943 0.026 0.020 74 A 0.001 0.001 0.030 0.679 0.123 0.166 75 A 0.002 0.003 0.032 0.104 0.324 0.535 76 P 0.002 0.005 0.072 0.073 0.347 0.502 77 H 0.005 0.008 0.038 0.059 0.266 0.624 78 A 0.004 0.003 0.005 0.017 0.111 0.859