PFRMAT SS TARGET T0087-181-end AUTHOR 3670-4530-6947 METHOD Using neural net overrep-2500-IDaa13-5-10-7-10-5-10-11-ehl2-seeded9-stride-trained.net METHOD This is a 4-layer network, with METHOD window units METHOD 5 10 METHOD 7 10 METHOD 5 10 METHOD 11 3 (1 EHL2 ) METHOD The input amino acid frequencies were determined from METHOD alignment T0087-181-end.t2k.a2m.gz METHOD with weighted counts, using EntropyWeight(1.4 bits/column, 10) METHOD The weighting was determined by the posterior distribution METHOD after regularizing with /projects/compbio/lib/recode3.20comp. METHOD Counts were regularized to probabilities using METHOD /projects/compbio/lib/recode3.20comp METHOD Total sequence weight for alignment was 7.50887 METHOD MODEL 1 Y H 0.953 G H 0.985 L H 0.993 A H 0.992 M H 0.988 L H 0.975 K H 0.952 A H 0.900 G C 0.579 T C 0.889 N C 0.888 L C 0.850 A C 0.820 S C 0.830 K C 0.873 T C 0.886 A H 0.969 A H 0.983 Q H 0.986 L H 0.971 V H 0.953 D H 0.945 I H 0.915 D H 0.805 A H 0.676 K H 0.636 T H 0.552 F C 0.559 E C 0.632 L C 0.765 N C 0.920 G C 0.880 S C 0.684 Q E 0.670 V E 0.830 R E 0.931 V E 0.989 A E 0.994 Q E 0.995 V E 0.979 N E 0.883 T E 0.743 V C 0.498 D C 0.802 I H 0.888 N H 0.930 E H 0.959 V H 0.947 L H 0.960 E H 0.963 R H 0.976 Q H 0.982 N H 0.991 E H 0.993 I H 0.995 E H 0.996 E H 0.996 A H 0.995 I H 0.989 K H 0.983 A H 0.976 S H 0.924 Q H 0.877 A H 0.783 A H 0.711 N C 0.579 G C 0.821 Y C 0.817 S C 0.651 D E 0.437 F E 0.737 V E 0.885 L E 0.917 M E 0.879 I E 0.844 T E 0.594 D C 0.602 I C 0.677 L C 0.688 N C 0.814 S H 0.608 N H 0.595 S H 0.539 E H 0.490 I E 0.415 L E 0.459 A H 0.407 L C 0.496 G C 0.909 N C 0.719 N H 0.579 T H 0.920 D H 0.965 K H 0.978 V H 0.971 E H 0.972 A H 0.974 A H 0.968 F H 0.936 N C 0.680 F C 0.524 T C 0.432 L H 0.488 K H 0.508 N C 0.771 N C 0.908 H E 0.597 A E 0.873 F E 0.897 L E 0.896 A E 0.623 G C 0.546 A E 0.692 V E 0.755 S E 0.718 R E 0.390 K H 0.491 K H 0.492 Q C 0.431 V C 0.540 V C 0.503 P H 0.531 Q H 0.626 L H 0.750 T H 0.817 E H 0.809 S H 0.752 F H 0.651 N C 0.623 G C 0.988 END