PFRMAT SS TARGET T0190 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 T0190.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 36 METHOD MODEL 1 A C 0.997 Q C 0.870 Q C 0.455 N C 0.591 I C 0.494 L C 0.397 S E 0.546 V E 0.837 H E 0.918 I E 0.923 L E 0.857 N E 0.664 Q E 0.433 Q T 0.379 T T 0.548 G T 0.346 K C 0.415 P C 0.449 A C 0.587 A T 0.443 D T 0.388 V C 0.860 T E 0.811 V E 0.951 T E 0.990 L E 0.980 E E 0.961 K E 0.878 K E 0.501 A T 0.349 D T 0.755 N S 0.360 G C 0.446 W E 0.582 L E 0.721 Q E 0.669 L E 0.702 N E 0.681 T E 0.631 A E 0.652 K E 0.675 T E 0.389 D C 0.824 K T 0.880 D T 0.721 G S 0.697 R C 0.598 I C 0.365 K C 0.503 A C 0.350 L C 0.391 W C 0.562 P C 0.652 E G 0.351 Q G 0.433 T G 0.368 A C 0.396 T C 0.426 T E 0.561 G E 0.771 D E 0.889 Y E 0.947 R E 0.982 V E 0.976 V E 0.968 F E 0.922 K E 0.548 T C 0.373 G H 0.822 D H 0.893 Y H 0.952 F H 0.959 K H 0.910 K H 0.674 Q T 0.916 N T 0.943 L C 0.802 E C 0.846 S C 0.492 F C 0.422 F C 0.510 P C 0.499 E E 0.463 I E 0.628 P E 0.917 V E 0.981 E E 0.994 F E 0.983 H E 0.954 I E 0.773 N C 0.358 K C 0.575 V T 0.791 N T 0.747 E C 0.381 H E 0.541 Y E 0.795 H E 0.934 V E 0.935 P E 0.902 L E 0.912 L E 0.880 L E 0.684 S C 0.589 Q T 0.641 Y T 0.708 G C 0.287 Y C 0.315 S E 0.341 T E 0.304 Y E 0.297 R C 0.349 G C 0.741 S C 0.987 END