PFRMAT SS TARGET T0557 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 T0557.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 155 METHOD MODEL 1 M C 0.920 R C 0.639 S H 0.554 A H 0.882 T H 0.939 D H 0.968 L H 0.983 L H 0.986 D H 0.983 E H 0.975 L H 0.961 N H 0.919 A H 0.734 V T 0.463 D C 0.370 E C 0.441 S C 0.357 A C 0.356 R C 0.359 I H 0.475 E H 0.435 A H 0.405 K H 0.438 R H 0.430 A C 0.276 S T 0.517 D T 0.442 M C 0.555 G C 0.725 K T 0.386 S T 0.316 V H 0.411 M H 0.378 E H 0.458 T H 0.469 V H 0.521 I H 0.516 A H 0.530 F E 0.402 A E 0.243 N C 0.315 E C 0.580 P T 0.656 G T 0.630 L C 0.524 D T 0.567 G T 0.564 G C 0.554 Y E 0.803 L E 0.958 L E 0.979 L E 0.975 G E 0.942 V E 0.858 D E 0.701 W E 0.338 A T 0.544 I T 0.538 N T 0.330 D E 0.623 K E 0.813 G E 0.784 D E 0.635 T E 0.452 V C 0.371 Y C 0.541 R C 0.524 P C 0.367 V C 0.432 G C 0.549 L H 0.424 P H 0.495 D H 0.631 P H 0.871 D H 0.931 K H 0.952 V H 0.963 Q H 0.969 R H 0.948 D H 0.925 L H 0.862 A H 0.704 S H 0.509 Q H 0.472 C H 0.451 A H 0.398 S H 0.318 M T 0.316 L C 0.442 N C 0.709 V C 0.555 A C 0.513 L C 0.572 R C 0.643 P C 0.479 E E 0.411 M E 0.713 Q E 0.935 L E 0.946 E E 0.969 Q E 0.848 V E 0.623 G T 0.923 G T 0.840 K C 0.459 T E 0.899 L E 0.991 L E 0.996 V E 0.994 V E 0.985 Y E 0.893 V E 0.692 P C 0.554 E C 0.524 A C 0.660 D C 0.723 V T 0.341 T T 0.444 H S 0.406 K S 0.623 P C 0.668 I E 0.707 Y E 0.835 K E 0.679 K E 0.442 A S 0.271 T S 0.380 G S 0.339 L C 0.443 P T 0.376 G T 0.484 G C 0.417 A E 0.581 Y E 0.861 R E 0.897 R E 0.817 I E 0.463 G T 0.302 S S 0.390 S S 0.446 D C 0.531 Q C 0.383 R C 0.462 C C 0.785 V C 0.985 END