PFRMAT SS TARGET T0188 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 T0188.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 38 METHOD MODEL 1 M C 0.827 I E 0.499 I E 0.845 A E 0.901 I E 0.895 P E 0.687 V C 0.443 S C 0.485 E T 0.544 N T 0.554 R T 0.553 G T 0.673 K T 0.605 D T 0.577 S T 0.548 P T 0.382 I T 0.397 S T 0.467 E T 0.362 H T 0.399 F T 0.390 G T 0.502 R T 0.493 A T 0.687 P T 0.594 Y E 0.504 F E 0.944 A E 0.981 F E 0.991 V E 0.989 K E 0.979 V E 0.876 K T 0.623 N T 0.898 N T 0.855 A E 0.549 I E 0.911 A E 0.947 D E 0.954 I E 0.891 S E 0.862 V E 0.815 E E 0.674 E E 0.512 N C 0.425 P T 0.521 L T 0.494 A T 0.446 Q T 0.524 D T 0.503 H T 0.546 V T 0.532 H C 0.486 G C 0.352 A C 0.486 V H 0.923 P H 0.977 N H 0.989 F H 0.991 V H 0.991 K H 0.991 E H 0.978 K H 0.788 G C 0.939 A C 0.890 E C 0.642 L E 0.986 V E 0.996 I E 0.989 V E 0.908 R C 0.366 G T 0.458 I C 0.487 G C 0.606 R H 0.387 R H 0.689 A H 0.964 I H 0.974 A H 0.979 A H 0.985 F H 0.980 E H 0.974 A H 0.960 M H 0.847 G C 0.947 V C 0.845 K E 0.783 V E 0.956 I E 0.949 K E 0.904 G E 0.542 A T 0.464 S T 0.509 G C 0.413 T C 0.452 V H 0.956 E H 0.984 E H 0.982 V H 0.985 V H 0.985 N H 0.964 Q H 0.958 Y H 0.946 L H 0.871 S H 0.498 G C 0.682 Q C 0.598 L C 0.469 K C 0.361 D G 0.286 S C 0.282 D C 0.417 Y T 0.408 E T 0.436 V T 0.584 H T 0.585 D T 0.537 H T 0.546 H T 0.505 H T 0.440 H C 0.438 E C 0.547 H C 0.691 H C 0.954 END