PFRMAT SS TARGET T0188 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 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 0.967 I E 0.728 I E 0.897 A E 0.887 I E 0.881 P E 0.747 V C 0.503 S C 0.358 E S 0.371 N S 0.363 R S 0.341 G C 0.382 K T 0.316 D T 0.312 S C 0.361 P C 0.329 I C 0.300 S C 0.357 E C 0.206 H T 0.203 F C 0.264 G C 0.306 R T 0.306 A C 0.590 P S 0.495 Y E 0.650 F E 0.979 A E 0.996 F E 0.997 V E 0.985 K E 0.945 V E 0.584 K T 0.331 N T 0.613 N S 0.438 A C 0.424 I E 0.897 A E 0.939 D E 0.923 I E 0.897 S E 0.900 V E 0.866 E E 0.756 E E 0.549 N C 0.496 P C 0.572 L T 0.257 A G 0.296 Q G 0.259 D T 0.253 H T 0.377 V C 0.324 H C 0.426 G C 0.411 A C 0.375 V H 0.834 P H 0.901 N H 0.913 F H 0.945 V H 0.954 K H 0.928 E H 0.838 K T 0.612 G T 0.919 A C 0.927 E S 0.470 L E 0.992 V E 0.999 I E 0.997 V E 0.940 R E 0.379 G C 0.358 I C 0.404 G C 0.619 R H 0.501 R H 0.688 A H 0.958 I H 0.992 A H 0.990 A H 0.990 F H 0.992 E H 0.978 A H 0.895 M T 0.795 G T 0.980 V C 0.946 K E 0.664 V E 0.943 I E 0.969 K E 0.948 G E 0.628 A C 0.374 S T 0.580 G S 0.428 T C 0.685 V H 0.963 E H 0.982 E H 0.990 V H 0.992 V H 0.992 N H 0.990 Q H 0.984 Y H 0.975 L H 0.914 S T 0.509 G T 0.421 Q C 0.682 L C 0.569 K C 0.503 D C 0.286 S C 0.335 D C 0.414 Y C 0.459 E C 0.453 V C 0.331 H S 0.304 D C 0.310 H C 0.333 H C 0.372 H C 0.446 H C 0.419 E C 0.473 H C 0.737 H C 0.995 END