PFRMAT SS TARGET T0520 AUTHOR SAM-T06-server METHOD This file is the result of combining several RDB files, specifically METHOD T0520.t04.dssp-ebghstl.rdb (weight 1.53986) METHOD T0520.t04.stride-ebghtl.rdb (weight 1.24869) METHOD T0520.t04.str2.rdb (weight 1.54758) METHOD T0520.t04.alpha.rdb (weight 0.659012) METHOD T0520.t2k.dssp-ebghstl.rdb (weight 1.53986) METHOD T0520.t2k.stride-ebghtl.rdb (weight 1.24869) METHOD T0520.t2k.str2.rdb (weight 1.54758) METHOD T0520.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 T0520.t04.dssp-ebghstl.rdb METHOD ============================================ METHOD TARGET T0520 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 T0520.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 533.191 METHOD METHOD ============================================ METHOD Comments from T0520.t04.stride-ebghtl.rdb METHOD ============================================ METHOD TARGET T0520 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 T0520.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 533.191 METHOD METHOD ============================================ METHOD Comments from T0520.t04.str2.rdb METHOD ============================================ METHOD TARGET T0520 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 T0520.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 533.191 METHOD METHOD ============================================ METHOD Comments from T0520.t04.alpha.rdb METHOD ============================================ METHOD TARGET T0520 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 T0520.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 533.191 METHOD METHOD ============================================ METHOD Comments from T0520.t2k.dssp-ebghstl.rdb METHOD ============================================ METHOD TARGET T0520 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 T0520.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 2516 METHOD METHOD ============================================ METHOD Comments from T0520.t2k.stride-ebghtl.rdb METHOD ============================================ METHOD TARGET T0520 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 T0520.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 2516 METHOD METHOD ============================================ METHOD Comments from T0520.t2k.str2.rdb METHOD ============================================ METHOD TARGET T0520 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 T0520.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 2516 METHOD METHOD ============================================ METHOD Comments from T0520.t2k.alpha.rdb METHOD ============================================ METHOD TARGET T0520 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 T0520.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 2516 METHOD METHOD ============================================ MODEL 1 S C 0.81 N C 0.75 A C 0.75 E C 0.68 R C 0.57 R C 0.54 L E 0.62 C E 0.84 A E 0.89 I E 0.91 L E 0.90 A E 0.84 A E 0.67 D C 0.46 M C 0.48 A C 0.46 G C 0.47 Y H 0.61 S H 0.71 R H 0.83 L H 0.85 M H 0.81 E H 0.67 R C 0.58 N C 0.79 E C 0.90 T H 0.91 D H 0.94 V H 0.95 L H 0.96 N H 0.96 R H 0.96 Q H 0.96 K H 0.96 L H 0.95 Y H 0.95 R H 0.95 R H 0.95 E H 0.94 L H 0.94 I H 0.95 D H 0.95 P H 0.96 A H 0.96 I H 0.95 A H 0.92 Q H 0.82 A C 0.56 G C 0.92 G C 0.78 Q E 0.71 I E 0.83 V E 0.80 K E 0.79 T E 0.75 T E 0.54 G C 0.56 D C 0.57 G E 0.72 M E 0.79 L E 0.79 A E 0.76 R E 0.61 F C 0.59 D C 0.81 T C 0.86 A C 0.79 Q C 0.63 A C 0.57 A H 0.60 L H 0.83 R H 0.88 C H 0.92 A H 0.95 L H 0.96 E H 0.96 I H 0.96 Q H 0.96 Q H 0.96 A H 0.95 M H 0.95 Q H 0.94 Q H 0.92 R H 0.87 E H 0.83 E H 0.76 D H 0.61 T C 0.60 P C 0.73 R C 0.78 K C 0.82 E C 0.82 R C 0.71 I E 0.55 Q E 0.79 Y E 0.89 R E 0.90 I E 0.89 G E 0.84 I E 0.78 N E 0.63 I C 0.49 G C 0.61 D C 0.49 I E 0.67 V E 0.74 L E 0.65 E E 0.51 D E 0.48 G C 0.62 D C 0.70 I C 0.60 F C 0.57 G C 0.62 D H 0.56 A H 0.77 V H 0.91 N H 0.92 V H 0.95 A H 0.95 A H 0.95 R H 0.94 L H 0.93 E H 0.91 A H 0.86 I H 0.70 S C 0.67 E C 0.86 P C 0.84 G C 0.85 A E 0.51 I E 0.85 C E 0.87 V E 0.68 S C 0.79 D H 0.90 I H 0.94 V H 0.94 H H 0.94 Q H 0.93 I H 0.88 T H 0.74 Q H 0.62 D C 0.49 R C 0.57 V C 0.69 S C 0.75 E C 0.59 P E 0.56 F E 0.67 T E 0.63 D E 0.56 L C 0.60 G C 0.69 L E 0.50 Q E 0.78 K E 0.81 V E 0.70 K C 0.52 N C 0.76 I C 0.78 T C 0.81 R C 0.77 P C 0.57 I E 0.75 R E 0.87 V E 0.90 W E 0.90 Q E 0.89 W E 0.76 V C 0.58 P C 0.81 D C 0.81 A C 0.80 D C 0.75 R C 0.76 D C 0.76 Q C 0.78 S C 0.83 H C 0.84 D C 0.84 P C 0.83 Q C 0.82 P C 0.70 S C 0.68 H C 0.71 V C 0.72 Q C 0.82 H C 0.91 END