# TARGET T0303 # Using neural net t2k-5651-IDaaHr-5-15-7-15-9-15-13-ebghtl-seeded.net # This is a 4-layer network, with # window units # 5 15 # 7 15 # 9 15 # 13 6 (1 EBGHTL ) # The input amino acid frequencies were determined from # alignment T0303.t2k-thin90.a2m.gz # with weighted counts, using HenikoffWeight(-1 bits/column, 1) # Counts were regularized to probabilities using # /projects/compbio/lib/recode3.20comp # Total sequence weight for alignment was 115 # Pos AA E B G H T C 10N 1S 5N 5N 5N 5N 5N 5N 1 N 0.025 0.015 0.031 0.062 0.381 0.486 2 S 0.017 0.026 0.024 0.079 0.229 0.625 3 L 0.001 0.001 0.034 0.888 0.042 0.034 4 P 0.001 0.001 0.020 0.941 0.026 0.013 5 D 0.001 0.001 0.016 0.946 0.021 0.016 6 L 0.001 0.001 0.002 0.995 0.002 0.001 7 A 0.001 0.001 0.001 0.997 0.001 0.001 8 L 0.001 0.001 0.001 0.996 0.002 0.001 9 S 0.001 0.001 0.001 0.996 0.002 0.002 10 I 0.001 0.001 0.001 0.999 0.001 0.001 11 N 0.001 0.001 0.001 0.999 0.001 0.001 12 S 0.001 0.001 0.001 0.999 0.001 0.001 13 A 0.001 0.001 0.001 0.998 0.001 0.001 14 L 0.001 0.001 0.001 0.997 0.002 0.001 15 K 0.001 0.001 0.001 0.992 0.004 0.002 16 D 0.001 0.001 0.002 0.982 0.008 0.008 17 V 0.001 0.001 0.004 0.900 0.017 0.078 18 N 0.001 0.001 0.001 0.011 0.039 0.948 19 L 0.004 0.003 0.002 0.005 0.057 0.929 20 P 0.032 0.008 0.004 0.007 0.089 0.859 21 Q 0.057 0.022 0.010 0.013 0.103 0.795 22 A 0.053 0.027 0.004 0.016 0.078 0.822 23 S 0.026 0.007 0.003 0.041 0.056 0.868 24 E 0.001 0.001 0.022 0.953 0.010 0.014 25 N 0.001 0.001 0.014 0.970 0.011 0.004 26 L 0.001 0.001 0.017 0.972 0.008 0.002 27 V 0.001 0.001 0.007 0.987 0.004 0.002 28 M 0.001 0.001 0.011 0.981 0.005 0.001 29 T 0.001 0.001 0.012 0.976 0.008 0.002 30 W 0.001 0.001 0.012 0.961 0.016 0.010 31 I 0.001 0.006 0.008 0.791 0.069 0.124 32 G 0.001 0.001 0.014 0.765 0.108 0.111 33 N 0.001 0.001 0.014 0.756 0.136 0.094 34 G 0.001 0.002 0.025 0.928 0.032 0.014 35 A 0.001 0.001 0.007 0.986 0.005 0.002 36 D 0.001 0.001 0.003 0.995 0.002 0.001 37 V 0.001 0.001 0.003 0.994 0.003 0.001 38 L 0.001 0.001 0.001 0.995 0.003 0.001 39 S 0.001 0.001 0.001 0.992 0.005 0.002 40 Q 0.001 0.001 0.001 0.986 0.007 0.005 41 R 0.001 0.001 0.001 0.984 0.009 0.006 42 A 0.001 0.001 0.003 0.971 0.014 0.012 43 V 0.001 0.002 0.012 0.848 0.078 0.059 44 D 0.001 0.001 0.033 0.779 0.126 0.061 45 W 0.001 0.001 0.042 0.626 0.207 0.124 46 A 0.001 0.002 0.040 0.635 0.187 0.135 47 C 0.003 0.007 0.034 0.327 0.261 0.367 48 T 0.005 0.006 0.036 0.269 0.291 0.392 49 Q 0.007 0.005 0.036 0.287 0.272 0.394 50 A 0.005 0.005 0.033 0.285 0.286 0.387 51 E 0.004 0.004 0.042 0.375 0.259 0.317 52 K 0.005 0.003 0.044 0.519 0.219 0.211 53 E 0.005 0.003 0.033 0.588 0.194 0.178 54 L 0.004 0.003 0.024 0.662 0.135 0.172 55 T 0.003 0.002 0.017 0.790 0.082 0.107 56 E 0.002 0.001 0.010 0.854 0.065 0.067 57 D 0.001 0.001 0.007 0.867 0.066 0.058 58 E 0.001 0.001 0.005 0.850 0.060 0.083 59 F 0.001 0.001 0.004 0.857 0.044 0.094 60 K 0.001 0.001 0.002 0.932 0.022 0.042 61 Y 0.001 0.001 0.002 0.954 0.020 0.023 62 F 0.001 0.001 0.002 0.964 0.015 0.017 63 K 0.001 0.001 0.004 0.942 0.023 0.029 64 R 0.001 0.001 0.003 0.960 0.018 0.017 65 Q 0.001 0.001 0.003 0.955 0.021 0.019 66 F 0.002 0.001 0.004 0.939 0.026 0.029 67 G 0.005 0.002 0.009 0.891 0.039 0.053 68 F 0.007 0.002 0.017 0.848 0.066 0.060 69 Y 0.008 0.002 0.028 0.812 0.081 0.070 70 Y 0.013 0.005 0.045 0.658 0.156 0.124 71 G 0.017 0.007 0.090 0.438 0.255 0.192 72 E 0.022 0.008 0.106 0.217 0.404 0.243 73 N 0.030 0.008 0.144 0.132 0.414 0.273 74 L 0.077 0.011 0.056 0.052 0.397 0.408 75 C 0.251 0.022 0.025 0.025 0.215 0.462 76 N 0.260 0.022 0.011 0.018 0.140 0.550 77 I 0.174 0.035 0.007 0.014 0.119 0.652 78 S 0.045 0.011 0.003 0.009 0.070 0.863 79 R 0.002 0.001 0.001 0.004 0.030 0.962