PFRMAT SS TARGET T0181 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 T0181.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 2 METHOD MODEL 1 M C 0.790 S C 0.600 T C 0.432 V E 0.395 T E 0.578 K E 0.753 Y E 0.782 F E 0.804 Y E 0.740 K E 0.488 G T 0.682 E T 0.767 N T 0.688 T T 0.371 D E 0.750 L E 0.968 I E 0.982 V E 0.976 F E 0.929 A E 0.707 A C 0.451 S C 0.588 E T 0.411 E H 0.501 L H 0.629 V H 0.738 D H 0.731 E H 0.653 Y H 0.555 L H 0.375 K T 0.456 N T 0.820 P T 0.835 S T 0.701 I T 0.565 G C 0.360 K H 0.528 L H 0.863 S H 0.825 E H 0.719 V H 0.693 V H 0.509 E H 0.370 L E 0.398 F E 0.615 E E 0.778 V E 0.867 F E 0.826 T E 0.714 P E 0.438 Q T 0.442 D T 0.667 G T 0.685 R T 0.553 G T 0.499 A T 0.465 E T 0.423 G T 0.464 E T 0.339 L E 0.313 G E 0.367 A E 0.323 A H 0.333 S H 0.347 K H 0.887 A H 0.898 Q H 0.916 V H 0.917 E H 0.910 N H 0.857 E H 0.763 F H 0.653 G T 0.330 K H 0.345 G H 0.346 K H 0.442 K H 0.477 I H 0.798 E H 0.955 E H 0.979 V H 0.991 I H 0.995 D H 0.992 L H 0.992 I H 0.988 L H 0.973 R H 0.948 N H 0.772 G C 0.638 K C 0.452 P T 0.628 N T 0.674 S T 0.534 T C 0.415 T E 0.330 S E 0.332 S E 0.350 L E 0.470 K E 0.493 T E 0.388 K T 0.479 G T 0.579 G T 0.516 N C 0.395 A T 0.340 G T 0.359 T T 0.280 K C 0.322 A C 0.421 Y C 0.617 N C 0.972 END