# TARGET T0386 # 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 T0386.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 3.02279 # Pos AA E B G H T C 10N 1S 5N 5N 5N 5N 5N 5N 1 L 0.012 0.003 0.017 0.756 0.048 0.163 2 L 0.009 0.002 0.008 0.802 0.036 0.143 3 K 0.002 0.001 0.009 0.953 0.016 0.020 4 E 0.002 0.001 0.012 0.951 0.021 0.013 5 F 0.001 0.001 0.010 0.971 0.011 0.007 6 M 0.001 0.001 0.011 0.972 0.009 0.006 7 H 0.001 0.001 0.013 0.965 0.013 0.007 8 T 0.002 0.001 0.020 0.919 0.033 0.025 9 M 0.003 0.005 0.027 0.862 0.061 0.042 10 K 0.006 0.003 0.050 0.755 0.147 0.039 11 N 0.005 0.002 0.052 0.653 0.230 0.057 12 T 0.006 0.004 0.029 0.467 0.279 0.215 13 G 0.017 0.006 0.025 0.057 0.407 0.488 14 R 0.043 0.013 0.019 0.024 0.323 0.579 15 N 0.155 0.050 0.027 0.016 0.450 0.302 16 V 0.240 0.056 0.035 0.015 0.378 0.276 17 N 0.154 0.018 0.032 0.011 0.477 0.308 18 D 0.131 0.013 0.020 0.005 0.491 0.340 19 R 0.224 0.005 0.005 0.002 0.283 0.481 20 P 0.511 0.007 0.002 0.001 0.127 0.351 21 V 0.905 0.008 0.001 0.001 0.019 0.066 22 M 0.966 0.003 0.001 0.001 0.006 0.024 23 V 0.977 0.002 0.001 0.001 0.004 0.015 24 A 0.944 0.003 0.001 0.002 0.015 0.035 25 K 0.771 0.003 0.004 0.002 0.154 0.066 26 E 0.384 0.009 0.008 0.005 0.444 0.150 27 G 0.113 0.007 0.014 0.005 0.587 0.273 28 E 0.448 0.011 0.008 0.002 0.252 0.278 29 T 0.748 0.016 0.007 0.003 0.049 0.177 30 Y 0.823 0.021 0.010 0.005 0.054 0.088 31 T 0.756 0.004 0.007 0.006 0.096 0.131 32 G 0.753 0.003 0.011 0.010 0.106 0.116 33 T 0.784 0.009 0.010 0.016 0.083 0.097 34 Y 0.724 0.022 0.016 0.030 0.116 0.093 35 R 0.544 0.016 0.018 0.038 0.218 0.166 36 G 0.347 0.011 0.039 0.043 0.312 0.247 37 A 0.317 0.013 0.060 0.039 0.314 0.257 38 G 0.358 0.050 0.039 0.020 0.291 0.242 39 L 0.238 0.009 0.053 0.016 0.433 0.250 40 E 0.316 0.003 0.033 0.011 0.376 0.261 41 G 0.800 0.004 0.010 0.008 0.093 0.085 42 F 0.943 0.003 0.002 0.005 0.022 0.025 43 A 0.981 0.001 0.001 0.003 0.005 0.009 44 L 0.981 0.001 0.001 0.003 0.003 0.011 45 N 0.948 0.001 0.001 0.002 0.020 0.029 46 V 0.864 0.004 0.002 0.002 0.093 0.034 47 K 0.529 0.007 0.005 0.003 0.348 0.107 48 G 0.314 0.002 0.011 0.004 0.565 0.104 49 A 0.686 0.006 0.006 0.002 0.208 0.093 50 Y 0.884 0.009 0.003 0.002 0.033 0.067 51 I 0.930 0.006 0.002 0.002 0.028 0.032 52 I 0.863 0.010 0.004 0.004 0.041 0.078 53 G 0.554 0.012 0.008 0.005 0.145 0.276 54 N 0.213 0.020 0.015 0.007 0.341 0.404 55 I 0.031 0.010 0.284 0.015 0.597 0.063 56 D 0.026 0.004 0.202 0.012 0.688 0.068 57 H 0.009 0.005 0.224 0.020 0.665 0.078 58 L 0.034 0.081 0.011 0.008 0.477 0.387 59 P 0.018 0.020 0.001 0.004 0.109 0.847 60 P 0.008 0.004 0.405 0.361 0.161 0.061 61 E 0.031 0.001 0.480 0.217 0.224 0.048 62 Q 0.056 0.004 0.642 0.164 0.114 0.020 63 L 0.368 0.027 0.117 0.218 0.148 0.122 64 K 0.518 0.025 0.055 0.164 0.102 0.136 65 I 0.621 0.027 0.032 0.070 0.073 0.177 66 L 0.450 0.058 0.010 0.022 0.094 0.366 67 K 0.185 0.036 0.012 0.006 0.706 0.056 68 P 0.041 0.005 0.009 0.004 0.905 0.036 69 G 0.011 0.001 0.011 0.003 0.941 0.034 70 D 0.335 0.045 0.007 0.002 0.576 0.035 71 K 0.750 0.022 0.003 0.004 0.049 0.173 72 I 0.907 0.012 0.002 0.002 0.019 0.057 73 T 0.866 0.004 0.003 0.002 0.018 0.107 74 F 0.596 0.015 0.003 0.003 0.039 0.344 75 T 0.060 0.002 0.001 0.001 0.032 0.905