PFRMAT SS TARGET YGR029W AUTHOR SAM-T02 METHOD This file is the result of combining several RDB files, specifically METHOD YGR029W.t2k.dssp-ebghstl.rdb (weight 1.53986) METHOD YGR029W.t2k.stride-ebghtl.rdb (weight 1.24869) METHOD YGR029W.t2k.str2.rdb (weight 1.54758) METHOD YGR029W.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 YGR029W.t2k.dssp-ebghstl.rdb METHOD ============================================ METHOD TARGET YGR029W 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 YGR029W.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 34 METHOD METHOD ============================================ METHOD Comments from YGR029W.t2k.stride-ebghtl.rdb METHOD ============================================ METHOD TARGET YGR029W 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 YGR029W.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 34 METHOD METHOD ============================================ METHOD Comments from YGR029W.t2k.str2.rdb METHOD ============================================ METHOD TARGET YGR029W 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 YGR029W.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 34 METHOD METHOD ============================================ METHOD Comments from YGR029W.t2k.alpha.rdb METHOD ============================================ METHOD TARGET YGR029W 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 YGR029W.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 34 METHOD METHOD ============================================ MODEL 1 M C 0.74 K C 0.60 A C 0.57 I C 0.60 D C 0.62 K C 0.67 M C 0.73 T C 0.81 D C 0.85 N C 0.87 P C 0.75 P C 0.59 Q C 0.50 E C 0.52 G C 0.65 L C 0.68 S C 0.71 G C 0.72 R C 0.74 K C 0.63 I E 0.55 I E 0.57 Y E 0.51 D C 0.77 E C 0.86 D C 0.90 G C 0.92 K C 0.89 P C 0.71 C C 0.73 R C 0.64 S C 0.62 C C 0.68 N C 0.71 T C 0.71 L C 0.52 L C 0.51 D H 0.46 F H 0.69 Q H 0.71 Y H 0.68 V H 0.51 T C 0.51 G C 0.55 K C 0.52 I C 0.56 S C 0.63 N C 0.75 G C 0.80 L C 0.77 K C 0.72 N C 0.70 L C 0.56 S C 0.47 S C 0.44 N C 0.44 G C 0.46 K C 0.43 L C 0.50 A C 0.61 G C 0.64 T C 0.70 G C 0.75 A C 0.64 L C 0.57 T C 0.52 G C 0.56 E C 0.49 A C 0.47 S H 0.46 E C 0.54 L C 0.61 M C 0.76 P C 0.73 G C 0.72 S C 0.72 R C 0.69 T C 0.66 Y C 0.66 R C 0.75 K C 0.76 V C 0.79 D C 0.85 P C 0.82 P C 0.79 D C 0.80 V H 0.63 E H 0.61 Q H 0.61 L H 0.50 G C 0.52 R H 0.85 S H 0.92 S H 0.94 W H 0.96 T H 0.96 L H 0.96 L H 0.95 H H 0.95 S H 0.94 V H 0.92 A H 0.88 A H 0.76 S H 0.52 Y C 0.74 P C 0.85 A C 0.87 Q C 0.90 P C 0.89 T C 0.89 D H 0.72 Q H 0.77 Q H 0.80 K H 0.90 G H 0.92 E H 0.93 M H 0.95 K H 0.95 Q H 0.95 F H 0.95 L H 0.95 N H 0.93 I H 0.89 F H 0.85 S H 0.74 H H 0.62 I H 0.50 Y C 0.74 P C 0.82 C C 0.64 N H 0.82 W H 0.89 C H 0.91 A H 0.94 K H 0.94 D H 0.93 F H 0.95 E H 0.96 K H 0.96 Y H 0.95 I H 0.94 R H 0.86 E H 0.71 N C 0.68 A C 0.83 P C 0.76 Q C 0.77 V C 0.80 E C 0.85 S C 0.85 R H 0.92 E H 0.94 E H 0.95 L H 0.96 G H 0.96 R H 0.96 W H 0.96 M H 0.96 C H 0.96 E H 0.94 A H 0.92 H H 0.87 N H 0.85 K H 0.85 V H 0.86 N H 0.84 K H 0.87 K H 0.81 L C 0.54 R C 0.90 K C 0.89 P C 0.77 K C 0.74 F C 0.77 D C 0.82 C H 0.51 N C 0.50 F C 0.48 W H 0.46 E H 0.46 K H 0.46 R H 0.48 W H 0.41 K C 0.42 D C 0.56 G C 0.69 W C 0.73 D C 0.78 E C 0.91 END