PFRMAT SS TARGET T0190 METHOD Using neural net t2k-5651-IDaaHr-5-15-7-15-9-15-13-alpha-seeded.net METHOD This is a 4-layer network, with METHOD window units METHOD 5 15 METHOD 7 15 METHOD 9 15 METHOD 13 11 (1 ABCDEFGHIST ) 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 E 0.166 Q H 0.154 Q S 0.202 N C 0.314 I H 0.179 L E 0.231 S E 0.300 V E 0.275 H E 0.444 I E 0.346 L E 0.339 N E 0.370 Q H 0.320 Q G 0.321 T B 0.239 G S 0.272 K C 0.323 P B 0.229 A E 0.174 A G 0.289 D S 0.308 V E 0.564 T E 0.625 V E 0.567 T E 0.735 L A 0.536 E E 0.547 K E 0.535 K C 0.295 A F 0.207 D B 0.294 N S 0.546 G B 0.298 W A 0.367 L B 0.485 Q A 0.417 L E 0.279 N E 0.338 T E 0.307 A E 0.299 K E 0.295 T B 0.568 D C 0.649 K H 0.544 D B 0.715 G S 0.620 R B 0.451 I E 0.300 K B 0.256 A I 0.205 L S 0.341 W B 0.325 P B 0.381 E I 0.384 Q H 0.386 T H 0.321 A A 0.232 T C 0.163 T S 0.194 G S 0.203 D E 0.505 Y E 0.652 R E 0.663 V E 0.655 V A 0.432 F E 0.433 K A 0.374 T C 0.359 G H 0.539 D H 0.804 Y H 0.843 F H 0.867 K H 0.714 K H 0.734 Q B 0.756 N T 0.507 L B 0.461 E B 0.386 S B 0.211 F S 0.326 F E 0.297 P H 0.272 E S 0.239 I E 0.506 P E 0.612 V E 0.629 E A 0.442 F E 0.538 H E 0.444 I E 0.302 N B 0.240 K H 0.163 V H 0.271 N S 0.447 E E 0.265 H E 0.368 Y E 0.446 H E 0.404 V E 0.436 P E 0.348 L E 0.355 L E 0.375 L E 0.200 S B 0.318 Q I 0.346 Y S 0.182 G E 0.126 Y E 0.214 S E 0.225 T E 0.182 Y E 0.220 R H 0.196 G S 0.169 S B 0.189 END