# TARGET T0330 # 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 T0330.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 3.54411 # Pos AA E B G H T C 10N 1S 5N 5N 5N 5N 5N 5N 1 L 0.038 0.002 0.002 0.022 0.048 0.887 2 K 0.142 0.013 0.005 0.046 0.059 0.735 3 V 0.107 0.008 0.043 0.372 0.116 0.354 4 E 0.084 0.006 0.046 0.424 0.157 0.283 5 S 0.029 0.002 0.060 0.775 0.088 0.046 6 M 0.024 0.003 0.037 0.821 0.073 0.043 7 N 0.015 0.002 0.019 0.850 0.056 0.057 8 R 0.006 0.001 0.009 0.944 0.018 0.023 9 R 0.003 0.001 0.006 0.970 0.009 0.012 10 V 0.003 0.001 0.008 0.971 0.010 0.008 11 L 0.002 0.001 0.006 0.976 0.009 0.006 12 A 0.004 0.001 0.005 0.975 0.010 0.005 13 D 0.002 0.001 0.005 0.978 0.011 0.004 14 A 0.002 0.001 0.005 0.978 0.012 0.003 15 L 0.002 0.001 0.008 0.969 0.017 0.003 16 I 0.004 0.001 0.015 0.960 0.017 0.003 17 E 0.010 0.001 0.016 0.940 0.025 0.008 18 V 0.018 0.004 0.011 0.887 0.043 0.037 19 Y 0.043 0.012 0.009 0.639 0.116 0.181 20 G 0.038 0.008 0.009 0.167 0.366 0.411 21 T 0.029 0.019 0.022 0.097 0.531 0.302 22 E 0.046 0.020 0.027 0.062 0.565 0.280 23 G 0.034 0.014 0.040 0.047 0.615 0.250 24 S 0.063 0.031 0.049 0.048 0.544 0.265 25 T 0.108 0.028 0.097 0.058 0.461 0.248 26 G 0.146 0.034 0.077 0.070 0.428 0.245 27 S 0.159 0.025 0.078 0.065 0.393 0.280 28 H 0.205 0.028 0.060 0.043 0.365 0.299 29 D 0.235 0.028 0.059 0.071 0.332 0.275 30 F 0.216 0.065 0.074 0.078 0.341 0.226 31 S 0.186 0.033 0.081 0.083 0.399 0.219 32 G 0.163 0.014 0.109 0.075 0.423 0.216 33 K 0.100 0.033 0.088 0.114 0.363 0.303 34 M 0.079 0.056 0.063 0.218 0.387 0.197 35 D 0.038 0.008 0.032 0.372 0.341 0.208 36 G 0.014 0.001 0.023 0.821 0.101 0.040 37 A 0.056 0.003 0.016 0.827 0.066 0.032 38 I 0.095 0.006 0.009 0.847 0.024 0.018 39 I 0.107 0.004 0.006 0.865 0.009 0.009 40 Y 0.034 0.001 0.007 0.945 0.007 0.006 41 E 0.024 0.001 0.009 0.952 0.010 0.004 42 V 0.006 0.001 0.009 0.968 0.011 0.006 43 L 0.004 0.001 0.008 0.961 0.015 0.011 44 S 0.003 0.001 0.017 0.935 0.024 0.020 45 N 0.002 0.001 0.031 0.842 0.090 0.034 46 V 0.002 0.001 0.046 0.679 0.136 0.135 47 G 0.002 0.001 0.004 0.007 0.135 0.851 48 L 0.014 0.011 0.010 0.011 0.150 0.803 49 E 0.028 0.020 0.013 0.028 0.146 0.766 50 R 0.003 0.001 0.324 0.561 0.064 0.046 51 A 0.002 0.001 0.225 0.717 0.042 0.014 52 E 0.003 0.001 0.184 0.770 0.035 0.007 53 I 0.004 0.002 0.036 0.912 0.024 0.023 54 A 0.004 0.002 0.023 0.903 0.036 0.032 55 D 0.001 0.001 0.032 0.909 0.037 0.020 56 K 0.003 0.001 0.023 0.912 0.038 0.023 57 F 0.005 0.001 0.016 0.894 0.053 0.031 58 D 0.002 0.001 0.013 0.947 0.025 0.013 59 K 0.001 0.001 0.010 0.964 0.016 0.008 60 A 0.001 0.001 0.007 0.959 0.017 0.015 61 K 0.001 0.001 0.003 0.980 0.007 0.009 62 E 0.001 0.001 0.003 0.982 0.006 0.008 63 T 0.001 0.001 0.003 0.976 0.008 0.012 64 Y 0.001 0.001 0.004 0.983 0.006 0.007 65 I 0.003 0.001 0.003 0.985 0.005 0.003 66 A 0.003 0.001 0.004 0.982 0.007 0.004 67 L 0.004 0.001 0.005 0.979 0.008 0.004 68 F 0.003 0.001 0.004 0.974 0.010 0.007 69 R 0.004 0.001 0.009 0.966 0.016 0.005 70 E 0.008 0.001 0.012 0.935 0.031 0.013 71 R 0.005 0.002 0.011 0.771 0.072 0.140 72 A 0.006 0.011 0.015 0.509 0.117 0.342 73 R 0.011 0.009 0.018 0.147 0.295 0.520 74 R 0.004 0.002 0.247 0.308 0.285 0.153 75 E 0.012 0.001 0.380 0.216 0.286 0.106 76 D 0.031 0.005 0.486 0.174 0.207 0.098 77 I 0.109 0.020 0.069 0.212 0.140 0.450 78 T 0.109 0.032 0.017 0.149 0.051 0.641 79 L 0.010 0.001 0.001 0.003 0.021 0.965