PFRMAT SS TARGET T0497 AUTHOR SAM-T02-server 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 T0497.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 152 METHOD MODEL 1 M C 0.980 A C 0.856 D C 0.707 P H 0.541 K H 0.754 E H 0.857 L H 0.917 Q H 0.968 D H 0.981 K H 0.985 F H 0.989 W H 0.990 K H 0.983 A H 0.964 L H 0.889 K T 0.571 S T 0.788 D C 0.756 R S 0.678 T E 0.944 V E 0.989 M E 0.996 L E 0.987 G E 0.914 L E 0.763 D E 0.582 G C 0.587 V T 0.598 E T 0.597 D S 0.683 G C 0.664 H C 0.353 A C 0.350 R C 0.299 P C 0.416 M C 0.453 T E 0.312 A E 0.293 Q C 0.301 I C 0.367 E C 0.493 G C 0.406 D T 0.285 S T 0.536 G T 0.506 G C 0.352 P E 0.721 I E 0.937 W E 0.970 F E 0.965 F E 0.889 T E 0.549 S C 0.440 K T 0.472 D T 0.425 N H 0.392 A H 0.658 L H 0.790 I H 0.871 A H 0.908 M H 0.911 L H 0.891 G H 0.813 Q H 0.531 G C 0.639 R T 0.406 R T 0.427 V E 0.670 I E 0.966 G E 0.990 A E 0.982 F E 0.971 S E 0.872 S C 0.499 K T 0.663 G T 0.707 H T 0.481 D C 0.296 L E 0.619 F E 0.932 A E 0.975 S E 0.984 I E 0.966 S E 0.931 G E 0.877 S E 0.891 L E 0.914 R E 0.964 E E 0.950 D E 0.869 T E 0.487 D C 0.821 P H 0.789 A H 0.873 V H 0.882 V H 0.924 D H 0.861 R H 0.673 L H 0.471 W H 0.335 N C 0.573 P H 0.681 Y H 0.602 V H 0.612 A H 0.562 A H 0.363 W H 0.343 Y C 0.434 E T 0.621 G T 0.699 G C 0.673 K T 0.739 D T 0.818 D C 0.701 P T 0.886 K T 0.956 L C 0.473 A E 0.927 L E 0.990 L E 0.994 R E 0.992 L E 0.971 D E 0.635 A T 0.513 D T 0.525 H G 0.313 A E 0.721 Q E 0.917 I E 0.960 W E 0.911 L E 0.722 N C 0.354 G T 0.370 S S 0.420 S C 0.359 L H 0.755 L H 0.884 A H 0.899 G H 0.921 I H 0.876 K H 0.866 V H 0.846 L H 0.816 L H 0.557 G T 0.479 V C 0.997 END