
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

