PFRMAT SS TARGET T0157 METHOD Using neural net t2k-5651-IDaaHr-5-15-7-15-9-15-13-ebghtl-seeded.net METHOD This is a 4-layer network, with METHOD window units METHOD 5 15 METHOD 7 15 METHOD 9 15 METHOD 13 6 (1 EBGHTL ) METHOD The input amino acid frequencies were determined from METHOD alignment T0157.t2k-thin90.a2m.gz METHOD with weighted counts, using HenikoffWeight(-1 bits/column, 1) METHOD Counts were regularized to probabilities using METHOD /projects/compbio/lib/recode3.20comp METHOD Total sequence weight for alignment was 56 METHOD MODEL 1 M C 0.850 S C 0.659 G C 0.407 T E 0.819 L E 0.944 L E 0.963 A E 0.932 F E 0.833 D E 0.545 F T 0.619 G T 0.751 T T 0.543 K E 0.479 S E 0.771 I E 0.884 G E 0.916 V E 0.951 A E 0.929 V E 0.858 G E 0.487 Q T 0.491 R T 0.650 I T 0.662 T T 0.581 G T 0.399 T E 0.338 A E 0.608 R E 0.617 P E 0.388 L E 0.275 P E 0.283 A E 0.438 I E 0.593 K E 0.639 A E 0.476 Q C 0.317 D C 0.443 G C 0.556 T C 0.423 P H 0.556 D H 0.716 W H 0.956 N H 0.975 I H 0.986 I H 0.994 E H 0.994 R H 0.992 L H 0.988 L H 0.973 K H 0.946 E H 0.842 W H 0.414 Q C 0.842 P C 0.735 D E 0.564 E E 0.981 I E 0.995 I E 0.991 V E 0.958 G E 0.787 L E 0.477 P C 0.392 L E 0.407 N T 0.836 M T 0.942 D T 0.959 G T 0.898 T C 0.739 E C 0.392 Q C 0.563 P H 0.462 L H 0.862 T H 0.967 A H 0.991 R H 0.993 A H 0.996 R H 0.998 K H 0.997 F H 0.997 A H 0.997 N H 0.992 R H 0.994 I H 0.991 H H 0.971 G H 0.928 R H 0.882 F H 0.545 G C 0.936 V C 0.861 E E 0.525 V E 0.962 K E 0.974 L E 0.949 H E 0.802 D C 0.359 E T 0.549 R T 0.616 L T 0.437 S H 0.385 T H 0.882 V H 0.990 E H 0.996 A H 0.997 R H 0.997 S H 0.997 G H 0.996 L H 0.990 F H 0.984 E H 0.956 Q H 0.842 G C 0.933 G C 0.816 Y C 0.720 R G 0.394 A G 0.480 L G 0.452 N H 0.535 K H 0.504 G H 0.448 K H 0.564 V H 0.680 D H 0.838 S H 0.994 A H 0.999 S H 0.999 A H 0.999 V H 0.999 I H 0.998 I H 0.996 L H 0.994 E H 0.988 S H 0.945 Y H 0.964 F H 0.916 E H 0.853 Q H 0.532 G C 0.845 Y C 0.977 END