PFRMAT SS TARGET T0188 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 T0188.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 38 METHOD MODEL 1 M E 0.567 I E 0.678 I E 0.657 A E 0.534 I E 0.471 P E 0.417 V E 0.216 S D 0.149 E B 0.283 N S 0.334 R B 0.200 G D 0.208 K H 0.149 D S 0.243 S E 0.179 P B 0.237 I B 0.272 S E 0.296 E H 0.254 H H 0.201 F S 0.236 G D 0.267 R S 0.290 A B 0.353 P G 0.263 Y E 0.425 F E 0.639 A E 0.780 F A 0.581 V E 0.610 K E 0.618 V A 0.368 K D 0.370 N D 0.457 N S 0.547 A B 0.414 I A 0.547 A E 0.279 D A 0.535 I E 0.314 S E 0.409 V A 0.465 E B 0.322 E E 0.203 N E 0.295 P B 0.209 L S 0.173 A H 0.240 Q S 0.192 D H 0.235 H S 0.310 V H 0.183 H S 0.186 G H 0.329 A H 0.465 V H 0.746 P H 0.844 N H 0.886 F H 0.909 V H 0.862 K H 0.736 E H 0.501 K B 0.464 G T 0.423 A E 0.544 E G 0.328 L E 0.767 V E 0.793 I E 0.481 V T 0.263 R B 0.156 G E 0.139 I S 0.181 G C 0.333 R H 0.385 R H 0.548 A H 0.739 I H 0.895 A H 0.942 A H 0.960 F H 0.936 E H 0.785 A H 0.868 M B 0.603 G T 0.477 V E 0.442 K E 0.587 V A 0.545 I E 0.591 K E 0.491 G B 0.356 A B 0.205 S S 0.197 G C 0.194 T B 0.598 V H 0.764 E H 0.948 E H 0.963 V H 0.957 V H 0.938 N H 0.944 Q H 0.950 Y H 0.799 L H 0.734 S B 0.548 G S 0.548 Q B 0.360 L E 0.344 K B 0.225 D E 0.286 S E 0.255 D E 0.245 Y B 0.313 E H 0.182 V E 0.200 H B 0.148 D C 0.147 H B 0.139 H S 0.166 H B 0.137 H S 0.181 E H 0.144 H H 0.157 H S 0.181 END