PFRMAT SS TARGET T0437 AUTHOR SAM-T06-server METHOD This file is the result of combining several RDB files, specifically METHOD T0437.t04.dssp-ebghstl.rdb (weight 1.53986) METHOD T0437.t04.stride-ebghtl.rdb (weight 1.24869) METHOD T0437.t04.str2.rdb (weight 1.54758) METHOD T0437.t04.alpha.rdb (weight 0.659012) METHOD T0437.t2k.dssp-ebghstl.rdb (weight 1.53986) METHOD T0437.t2k.stride-ebghtl.rdb (weight 1.24869) METHOD T0437.t2k.str2.rdb (weight 1.54758) METHOD T0437.t2k.alpha.rdb (weight 0.659012) METHOD These files were combined by translating their predictions into EHL METHOD predictions with tables generated by compare-real, and then combining METHOD those predictions with weights proportional to their mutual information METHOD with the EHL alphabet. The comments from the individual files follow. METHOD METHOD Comments from T0437.t04.dssp-ebghstl.rdb METHOD ============================================ METHOD TARGET T0437 METHOD Using neural net t04-2621-IDGaaH13-3-13-7-13-9-13-11-ebghstl-dssp-seeded.net METHOD This is a 4-layer network, with METHOD window units METHOD 3 13 METHOD 7 13 METHOD 9 13 METHOD 11 7 (1 EBGHSTL ) METHOD The input amino acid frequencies were determined from METHOD alignment T0437.t04-thin90.a2m.gz METHOD with weighted counts, using HenikoffWeight(1.3 bits/column, 1) METHOD The weighting was determined by the posterior distribution METHOD after regularizing with /projects/compbio/lib/recode3.20comp. METHOD Counts were regularized to probabilities using METHOD /projects/compbio/lib/recode3.20comp METHOD Total sequence weight for alignment was 16.5273 METHOD METHOD ============================================ METHOD Comments from T0437.t04.stride-ebghtl.rdb METHOD ============================================ METHOD TARGET T0437 METHOD Using neural net t04-2621-IDGaaH13-3-13-7-13-9-13-11-ebghtl-stride-seeded.net METHOD This is a 4-layer network, with METHOD window units METHOD 3 13 METHOD 7 13 METHOD 9 13 METHOD 11 6 (1 EBGHTL ) METHOD The input amino acid frequencies were determined from METHOD alignment T0437.t04-thin90.a2m.gz METHOD with weighted counts, using HenikoffWeight(1.3 bits/column, 1) METHOD The weighting was determined by the posterior distribution METHOD after regularizing with /projects/compbio/lib/recode3.20comp. METHOD Counts were regularized to probabilities using METHOD /projects/compbio/lib/recode3.20comp METHOD Total sequence weight for alignment was 16.5273 METHOD METHOD ============================================ METHOD Comments from T0437.t04.str2.rdb METHOD ============================================ METHOD TARGET T0437 METHOD Using neural net t04-2621-IDGaaH13-3-13-7-13-9-13-11-str2-seeded.net METHOD This is a 4-layer network, with METHOD window units METHOD 3 13 METHOD 7 13 METHOD 9 13 METHOD 11 13 (1 str2 ) METHOD The input amino acid frequencies were determined from METHOD alignment T0437.t04-thin90.a2m.gz METHOD with weighted counts, using HenikoffWeight(1.3 bits/column, 1) METHOD The weighting was determined by the posterior distribution METHOD after regularizing with /projects/compbio/lib/recode3.20comp. METHOD Counts were regularized to probabilities using METHOD /projects/compbio/lib/recode3.20comp METHOD Total sequence weight for alignment was 16.5273 METHOD METHOD ============================================ METHOD Comments from T0437.t04.alpha.rdb METHOD ============================================ METHOD TARGET T0437 METHOD Using neural net t04-2621-IDGaaH13-3-13-7-13-9-13-11-alpha-seeded.net METHOD This is a 4-layer network, with METHOD window units METHOD 3 13 METHOD 7 13 METHOD 9 13 METHOD 11 11 (1 ABCDEFGHIST ) METHOD The input amino acid frequencies were determined from METHOD alignment T0437.t04-thin90.a2m.gz METHOD with weighted counts, using HenikoffWeight(1.3 bits/column, 1) METHOD The weighting was determined by the posterior distribution METHOD after regularizing with /projects/compbio/lib/recode3.20comp. METHOD Counts were regularized to probabilities using METHOD /projects/compbio/lib/recode3.20comp METHOD Total sequence weight for alignment was 16.5273 METHOD METHOD ============================================ METHOD Comments from T0437.t2k.dssp-ebghstl.rdb METHOD ============================================ METHOD TARGET T0437 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 T0437.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 52 METHOD METHOD ============================================ METHOD Comments from T0437.t2k.stride-ebghtl.rdb METHOD ============================================ METHOD TARGET T0437 METHOD Using neural net t2k-5651-IDaaHr-5-15-7-15-9-15-13-ebghtl-seeded.net METHOD This is a 4-layer network, with METHOD window units METHOD 5 15 METHOD 7 15 METHOD 9 15 METHOD 13 6 (1 EBGHTL ) METHOD The input amino acid frequencies were determined from METHOD alignment T0437.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 52 METHOD METHOD ============================================ METHOD Comments from T0437.t2k.str2.rdb METHOD ============================================ METHOD TARGET T0437 METHOD Using neural net t2k-5651-IDaaHr-5-15-7-15-9-15-13-str2-from-empty.net METHOD This is a 4-layer network, with METHOD window units METHOD 5 15 METHOD 7 15 METHOD 9 15 METHOD 13 13 (1 str2 ) METHOD The input amino acid frequencies were determined from METHOD alignment T0437.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 52 METHOD METHOD ============================================ METHOD Comments from T0437.t2k.alpha.rdb METHOD ============================================ METHOD TARGET T0437 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 T0437.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 52 METHOD METHOD ============================================ MODEL 1 M C 0.88 K C 0.74 D C 0.68 V C 0.70 V C 0.72 D H 0.53 K H 0.56 C H 0.55 S C 0.45 T C 0.58 K C 0.71 G C 0.75 C C 0.65 A C 0.45 I E 0.53 D E 0.68 I E 0.66 G E 0.69 T E 0.82 V E 0.84 I E 0.80 D E 0.50 N C 0.78 D C 0.83 N C 0.77 C C 0.50 T E 0.84 S E 0.90 K E 0.92 F E 0.91 S E 0.91 R E 0.88 F E 0.82 F E 0.58 A C 0.80 T C 0.89 R H 0.85 E H 0.93 E H 0.95 A H 0.95 E H 0.96 S H 0.95 F H 0.95 M H 0.95 T H 0.95 K H 0.95 L H 0.95 K H 0.96 E H 0.95 L H 0.94 A H 0.92 A H 0.91 A H 0.86 A H 0.64 S C 0.70 S C 0.64 A C 0.69 D C 0.75 E C 0.80 G C 0.71 A C 0.51 S E 0.63 V E 0.73 A E 0.74 Y E 0.73 K E 0.82 I E 0.84 K E 0.75 D E 0.72 L C 0.50 E C 0.69 G C 0.84 Q C 0.63 V E 0.81 E E 0.90 L E 0.90 D E 0.91 A E 0.91 A E 0.92 F E 0.92 T E 0.92 F E 0.86 S E 0.81 C E 0.58 Q E 0.47 A H 0.40 E H 0.58 M H 0.65 I H 0.71 I H 0.76 F H 0.79 E H 0.82 L H 0.80 S H 0.73 L H 0.65 R H 0.61 S C 0.49 L C 0.62 A C 0.86 END