PFRMAT SS TARGET T0105 AUTHOR 3670-4530-6947 METHOD Using neural net overrep-2500-IDaa13-5-10-7-10-5-10-11-ehl2-seeded9-stride-trained.net METHOD This is a 4-layer network, with METHOD window units METHOD 5 10 METHOD 7 10 METHOD 5 10 METHOD 11 3 (1 EHL2 ) METHOD The input amino acid frequencies were determined from METHOD alignment T0105.t2k.a2m.gz METHOD with weighted counts, using EntropyWeight(1.4 bits/column, 10) 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 13.4442 METHOD MODEL 1 D C 0.796 E C 0.772 N C 0.771 I C 0.684 N C 0.657 F C 0.605 K C 0.661 Q C 0.646 S C 0.665 E C 0.569 L C 0.491 P E 0.514 V E 0.677 T E 0.690 C C 0.492 G C 0.676 E C 0.605 V E 0.569 K E 0.780 G E 0.900 T E 0.952 L E 0.958 Y E 0.930 K E 0.874 E E 0.733 R E 0.658 F C 0.548 K C 0.792 Q C 0.811 G C 0.861 T C 0.816 S C 0.779 K C 0.630 K E 0.517 C E 0.847 I E 0.933 Q E 0.907 S E 0.752 E C 0.762 D C 0.928 K C 0.875 K C 0.554 W E 0.684 F E 0.691 T C 0.655 P C 0.764 R C 0.740 E C 0.451 F E 0.536 E E 0.586 I E 0.474 E C 0.584 G C 0.694 D C 0.826 R C 0.795 G C 0.803 A C 0.771 S C 0.628 K C 0.618 N H 0.526 W H 0.971 K H 0.976 L H 0.986 S H 0.974 I H 0.959 R H 0.942 C H 0.874 G H 0.569 G C 0.896 Y C 0.778 T C 0.605 L H 0.982 K H 0.991 V H 0.991 L H 0.983 M H 0.979 E H 0.955 N H 0.905 K C 0.939 F C 0.845 L C 0.799 P C 0.850 E C 0.861 P C 0.918 P C 0.886 S C 0.771 T C 0.723 R C 0.749 K C 0.621 K E 0.483 V E 0.622 T E 0.678 I E 0.539 K C 0.854 END