PFRMAT SS TARGET T0140 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 T0140.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 341 METHOD MODEL 1 M C 0.887 R C 0.709 G C 0.622 S C 0.550 H C 0.378 H E 0.450 H E 0.426 H C 0.478 H C 0.540 H T 0.423 G T 0.372 S E 0.363 R E 0.448 L E 0.609 Q E 0.535 S E 0.359 G E 0.418 K E 0.556 M E 0.721 T E 0.850 G E 0.954 I E 0.978 V E 0.980 K E 0.947 W E 0.894 F E 0.742 N E 0.726 A E 0.589 D E 0.419 K T 0.505 G T 0.581 F C 0.380 G E 0.735 F E 0.841 I E 0.734 T E 0.533 P G 0.450 D G 0.474 D T 0.480 G T 0.464 S C 0.536 K E 0.685 D E 0.852 V E 0.909 F E 0.923 V E 0.916 H E 0.861 F E 0.740 S E 0.576 A T 0.302 G T 0.311 S T 0.320 S H 0.416 G H 0.583 A H 0.531 A H 0.560 V H 0.489 R H 0.464 G H 0.436 N C 0.287 P C 0.420 Q T 0.748 Q T 0.835 G T 0.884 D E 0.617 R E 0.859 V E 0.948 E E 0.976 G E 0.976 K E 0.982 I E 0.987 K E 0.980 S E 0.963 I E 0.920 T E 0.620 D T 0.555 F T 0.596 G T 0.426 I E 0.854 F E 0.958 I E 0.972 G E 0.940 L E 0.708 D T 0.803 G T 0.863 G T 0.790 I T 0.423 D E 0.574 G E 0.936 L E 0.956 V E 0.934 H E 0.884 L E 0.664 S E 0.363 D G 0.296 I G 0.255 S T 0.325 W H 0.380 A H 0.371 Q H 0.447 A C 0.435 E C 0.574 A C 0.884 END