PFRMAT SS TARGET YGR017W AUTHOR SAM-T02 METHOD This file is the result of combining several RDB files, specifically METHOD YGR017W.t2k.dssp-ebghstl.rdb (weight 1.53986) METHOD YGR017W.t2k.stride-ebghtl.rdb (weight 1.24869) METHOD YGR017W.t2k.str2.rdb (weight 1.54758) METHOD YGR017W.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 YGR017W.t2k.dssp-ebghstl.rdb METHOD ============================================ METHOD TARGET YGR017W 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 YGR017W.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 8 METHOD METHOD ============================================ METHOD Comments from YGR017W.t2k.stride-ebghtl.rdb METHOD ============================================ METHOD TARGET YGR017W 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 YGR017W.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 8 METHOD METHOD ============================================ METHOD Comments from YGR017W.t2k.str2.rdb METHOD ============================================ METHOD TARGET YGR017W 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 YGR017W.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 8 METHOD METHOD ============================================ METHOD Comments from YGR017W.t2k.alpha.rdb METHOD ============================================ METHOD TARGET YGR017W 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 YGR017W.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 8 METHOD METHOD ============================================ MODEL 1 M C 0.85 S C 0.72 H C 0.68 Q C 0.68 M C 0.70 A C 0.51 P H 0.70 W H 0.81 I H 0.90 P H 0.94 M H 0.95 F H 0.95 I H 0.95 Q H 0.94 S H 0.90 C H 0.81 K H 0.62 N C 0.64 N C 0.84 T C 0.87 E C 0.86 P C 0.81 F C 0.72 V C 0.52 S E 0.64 F E 0.74 Q E 0.81 F E 0.82 A E 0.80 T E 0.77 V E 0.68 D E 0.53 E C 0.69 L C 0.77 T C 0.87 N C 0.91 K C 0.84 P C 0.59 R C 0.50 C E 0.55 R E 0.65 T E 0.82 V E 0.88 V E 0.87 F E 0.81 R E 0.64 D E 0.42 F E 0.37 L E 0.34 F C 0.48 H C 0.68 D C 0.71 K C 0.72 R C 0.72 T C 0.81 N C 0.83 V E 0.68 L E 0.87 T E 0.88 F E 0.86 N E 0.68 T C 0.54 D C 0.73 M C 0.64 R C 0.65 S C 0.48 S H 0.55 K H 0.59 I H 0.59 T H 0.59 E H 0.51 S C 0.42 F C 0.55 I C 0.62 T C 0.81 P C 0.83 N C 0.86 S C 0.82 N C 0.79 N C 0.71 S C 0.73 S C 0.72 D C 0.73 S C 0.75 K C 0.74 R C 0.74 C C 0.74 E C 0.80 T C 0.77 P C 0.59 F C 0.43 F E 0.42 E E 0.51 A E 0.59 C E 0.69 F E 0.69 Y E 0.66 F C 0.59 P C 0.80 E C 0.83 T C 0.72 W C 0.46 E E 0.46 Q E 0.66 Y E 0.79 R E 0.82 F E 0.76 S C 0.55 G C 0.65 Q E 0.66 C E 0.81 F E 0.80 T E 0.74 I C 0.46 S C 0.66 K H 0.55 Q H 0.54 F H 0.62 K H 0.50 K C 0.57 I C 0.70 P C 0.74 A C 0.45 E H 0.52 I H 0.45 V C 0.54 T C 0.61 K C 0.55 Y C 0.56 D C 0.62 I C 0.61 F C 0.65 S C 0.76 P C 0.61 R C 0.56 F C 0.51 S C 0.59 E C 0.63 T C 0.72 N C 0.79 D C 0.77 D C 0.79 S C 0.68 T C 0.64 D C 0.57 E C 0.50 E C 0.51 I C 0.61 D C 0.70 T C 0.77 P C 0.78 I C 0.73 N C 0.79 D C 0.79 D C 0.79 D C 0.80 D C 0.80 D C 0.79 D C 0.78 K C 0.77 N C 0.79 N C 0.79 D C 0.73 A C 0.72 D C 0.74 N C 0.80 N C 0.72 D C 0.65 I C 0.61 N C 0.69 E C 0.59 D C 0.59 N H 0.51 K H 0.60 L H 0.65 I H 0.67 E H 0.66 S H 0.58 I H 0.55 E C 0.51 N C 0.66 D C 0.74 E C 0.68 H C 0.70 H C 0.77 E C 0.68 D C 0.82 E C 0.83 D C 0.87 D C 0.87 Y C 0.79 Y C 0.69 P C 0.78 Q C 0.79 P C 0.70 Q C 0.57 E H 0.48 W H 0.62 E H 0.79 A H 0.88 E H 0.90 L H 0.91 L H 0.91 R H 0.91 Q H 0.89 W H 0.87 S H 0.85 S H 0.73 L H 0.55 S C 0.67 R H 0.78 H H 0.76 T H 0.73 K H 0.67 S H 0.54 L H 0.45 Y C 0.52 R C 0.65 K C 0.76 P C 0.81 A C 0.85 P C 0.86 G C 0.89 Q C 0.80 K C 0.68 L C 0.66 T C 0.68 S C 0.56 E H 0.46 T H 0.55 S H 0.55 K H 0.59 Q H 0.55 L C 0.52 D C 0.57 K C 0.62 L C 0.64 H C 0.75 R C 0.68 G C 0.73 V C 0.71 D C 0.75 G C 0.73 A C 0.62 K C 0.56 E C 0.51 D C 0.57 A C 0.70 G C 0.79 L C 0.77 E C 0.77 N C 0.78 F E 0.49 G E 0.81 I E 0.92 V E 0.92 C E 0.92 L E 0.87 C E 0.69 V C 0.48 D C 0.60 S C 0.44 V E 0.50 D E 0.43 F E 0.54 L E 0.51 N E 0.61 L C 0.54 K C 0.65 E C 0.75 G C 0.86 R C 0.83 G C 0.84 G C 0.72 E E 0.60 R E 0.79 W E 0.84 I E 0.80 F E 0.70 Q E 0.53 K C 0.54 T C 0.67 D C 0.83 G C 0.84 K C 0.79 D C 0.75 E C 0.56 D C 0.48 L C 0.39 W C 0.41 E E 0.41 E E 0.53 Q E 0.56 E E 0.56 V C 0.62 C C 0.86 P C 0.92 END