PFRMAT SS TARGET T0140 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 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 0.994 R C 0.636 G C 0.412 S C 0.322 H E 0.286 H E 0.332 H C 0.321 H C 0.392 H C 0.763 H H 0.288 G H 0.308 S H 0.298 R E 0.278 L E 0.270 Q E 0.259 S T 0.243 G C 0.354 K E 0.363 M E 0.570 T E 0.723 G E 0.892 I E 0.962 V E 0.963 K E 0.956 W E 0.916 F E 0.852 N E 0.829 A E 0.631 D E 0.464 K T 0.268 G T 0.404 F E 0.345 G E 0.708 F E 0.897 I E 0.928 T E 0.741 P T 0.523 D T 0.833 D T 0.670 G S 0.315 S E 0.422 K E 0.834 D E 0.897 V E 0.907 F E 0.904 V E 0.848 H E 0.807 F E 0.617 S E 0.384 A C 0.269 G C 0.433 S C 0.609 S H 0.412 G H 0.613 A H 0.687 A H 0.674 V H 0.647 R H 0.574 G H 0.441 N H 0.223 P C 0.650 Q C 0.640 Q T 0.599 G T 0.444 D E 0.475 R E 0.924 V E 0.943 E E 0.948 G E 0.942 K E 0.976 I E 0.971 K E 0.979 S E 0.957 I E 0.829 T E 0.568 D E 0.396 F T 0.361 G E 0.526 I E 0.749 F E 0.951 I E 0.943 G E 0.923 L E 0.799 D E 0.385 G T 0.657 G T 0.575 I C 0.551 D E 0.368 G E 0.713 L E 0.924 V E 0.935 H E 0.887 L H 0.325 S H 0.321 D G 0.387 I H 0.405 S C 0.318 W T 0.337 A H 0.285 Q C 0.234 A C 0.380 E C 0.583 A C 0.994 END