PFRMAT SS TARGET T0514 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 T0514.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 83 METHOD MODEL 1 S C 0.916 S C 0.513 L E 0.375 T E 0.413 E C 0.358 T C 0.409 Y C 0.344 G C 0.294 L E 0.260 W E 0.611 S E 0.805 I E 0.833 N E 0.815 C E 0.639 G E 0.457 I C 0.402 Q C 0.478 E T 0.473 G T 0.358 K C 0.413 K C 0.391 V E 0.440 C E 0.622 F E 0.726 M E 0.825 H E 0.844 R E 0.834 Q E 0.817 E E 0.793 V E 0.626 N T 0.318 D T 0.424 Q T 0.555 N T 0.471 R E 0.509 V E 0.761 V E 0.951 V E 0.985 A E 0.987 M E 0.993 S E 0.990 V E 0.970 V E 0.933 L E 0.841 N C 0.453 A T 0.617 D T 0.650 G S 0.576 V C 0.617 V E 0.684 S E 0.919 G E 0.977 N E 0.992 L E 0.988 T E 0.954 V E 0.773 P E 0.425 F T 0.407 G E 0.243 I E 0.432 L E 0.534 V C 0.370 S C 0.759 K T 0.733 P T 0.659 V E 0.596 R E 0.929 L E 0.948 Q E 0.909 V E 0.736 D T 0.313 E T 0.670 G T 0.456 K C 0.361 A C 0.386 V C 0.581 I C 0.417 E E 0.415 T E 0.449 G E 0.567 I E 0.811 R E 0.843 T E 0.824 C E 0.598 V C 0.540 P C 0.379 A T 0.460 G E 0.323 C E 0.588 I E 0.882 V E 0.898 P E 0.882 I E 0.663 V C 0.418 F C 0.495 D C 0.902 K H 0.918 N H 0.960 Y H 0.975 V H 0.986 A H 0.961 A H 0.944 L H 0.886 R H 0.710 A T 0.639 G T 0.562 K C 0.521 H E 0.390 L E 0.798 K E 0.964 L E 0.988 A E 0.986 M E 0.970 T E 0.894 I E 0.590 A C 0.526 A C 0.364 P C 0.299 G C 0.548 E T 0.509 P T 0.427 P C 0.413 L C 0.458 N E 0.610 D E 0.806 L E 0.904 F E 0.906 V E 0.786 Q E 0.678 L C 0.391 N S 0.274 G C 0.283 F H 0.709 S H 0.915 N H 0.933 A H 0.968 L H 0.977 N H 0.960 R H 0.938 L H 0.878 I H 0.834 A H 0.723 L H 0.504 Q H 0.357 K C 0.993 END