PFRMAT SS TARGET T0157 AUTHOR 4069-6308-1312 METHOD Using neural net t2k-5740-IDaaHr-5-15-7-15-9-15-13-ebghstl-seeded.net METHOD This is a 4-layer network, with METHOD window units METHOD 5 15 METHOD 7 15 METHOD 9 15 METHOD 13 7 (1 EBGHSTL ) 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 0.836 S C 0.679 G C 0.331 T E 0.779 L E 0.949 L E 0.992 A E 0.994 F E 0.989 D E 0.837 F C 0.411 G T 0.477 T S 0.355 K C 0.375 S E 0.746 I E 0.849 G E 0.908 V E 0.943 A E 0.940 V E 0.866 G E 0.624 Q C 0.435 R T 0.316 I T 0.427 T T 0.332 G C 0.253 T H 0.248 A E 0.303 R C 0.347 P C 0.348 L C 0.242 P E 0.307 A E 0.403 I E 0.543 K E 0.481 A C 0.268 Q T 0.356 D T 0.306 G C 0.480 T C 0.544 P H 0.480 D H 0.594 W H 0.939 N H 0.970 I H 0.980 I H 0.987 E H 0.986 R H 0.976 L H 0.969 L H 0.959 K H 0.929 E H 0.791 W H 0.540 Q C 0.630 P C 0.852 D S 0.636 E E 0.973 I E 0.996 I E 0.998 V E 0.977 G E 0.580 L C 0.416 P C 0.568 L C 0.307 N C 0.507 M T 0.481 D T 0.596 G S 0.607 T C 0.585 E C 0.425 Q C 0.496 P H 0.745 L H 0.927 T H 0.967 A H 0.992 R H 0.991 A H 0.997 R H 0.999 K H 0.999 F H 0.998 A H 0.998 N H 0.996 R H 0.985 I H 0.977 H H 0.910 G H 0.775 R H 0.557 F T 0.285 G C 0.603 V C 0.612 E C 0.602 V E 0.861 K E 0.991 L E 0.989 H E 0.950 D E 0.590 E C 0.643 R S 0.509 L S 0.303 S C 0.372 T H 0.758 V H 0.961 E H 0.986 A H 0.990 R H 0.993 S H 0.989 G H 0.983 L H 0.974 F H 0.955 E H 0.846 Q T 0.849 G T 0.972 G C 0.844 Y C 0.755 R H 0.297 A H 0.344 L H 0.398 N H 0.476 K H 0.493 G H 0.505 K H 0.525 V H 0.681 D H 0.744 S H 0.959 A H 0.984 S H 0.987 A H 0.988 V H 0.992 I H 0.991 I H 0.992 L H 0.981 E H 0.940 S H 0.916 Y H 0.882 F H 0.743 E H 0.491 Q T 0.473 G C 0.565 Y C 0.999 END