PFRMAT SS
TARGET T0120-211-end
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 T0120-211-end.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 2.06758
METHOD
MODEL 1
Q C 0.750
E C 0.724
G C 0.789
E C 0.670
T C 0.491
A H 0.383
I E 0.439
C E 0.387
S C 0.362
E C 0.440
M C 0.451
T C 0.503
A C 0.631
D C 0.774
R C 0.839
D C 0.918
P C 0.902
V C 0.750
Y C 0.645
D C 0.797
E C 0.740
S C 0.746
T C 0.729
D C 0.775
E C 0.596
E C 0.624
S C 0.752
E C 0.753
N C 0.796
Q H 0.532
T C 0.499
D C 0.499
L C 0.506
S C 0.576
G C 0.567
L C 0.555
A C 0.485
S C 0.362
A E 0.421
A E 0.549
V E 0.583
S C 0.544
K C 0.610
D C 0.752
D C 0.733
S C 0.633
I C 0.461
I C 0.490
S C 0.521
S C 0.641
L C 0.817
D C 0.900
V C 0.530
T C 0.584
D C 0.508
I C 0.670
A C 0.693
P C 0.560
S H 0.531
R H 0.752
K H 0.810
R H 0.857
R H 0.901
Q H 0.908
R H 0.901
M H 0.875
Q H 0.817
R H 0.700
N H 0.557
L C 0.534
G C 0.956
T C 0.885
E C 0.871
P C 0.795
K C 0.681
M C 0.646
A C 0.706
P C 0.574
Q H 0.526
E H 0.609
N H 0.557
Q H 0.605
L H 0.610
Q H 0.632
E H 0.610
K H 0.595
E H 0.528
N C 0.677
S C 0.793
R C 0.942
P C 0.916
D C 0.899
S C 0.777
S C 0.785
L C 0.848
P C 0.854
E C 0.716
T C 0.729
S C 0.743
K C 0.510
K C 0.484
E C 0.454
H C 0.527
I E 0.481
S C 0.672
A H 0.503
E C 0.484
N C 0.507
M C 0.666
S C 0.717
L H 0.902
E H 0.911
T H 0.894
L H 0.709
R H 0.517
N C 0.625
S C 0.842
S C 0.968
P H 0.877
E H 0.893
D H 0.915
L H 0.833
F H 0.792
D H 0.688
E H 0.562
I C 0.853
END