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.remote-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 6.23127
METHOD
MODEL 1
Q C 0.642
E C 0.672
G H 0.893
E H 0.927
T H 0.953
A H 0.930
I H 0.911
C H 0.887
S H 0.866
E H 0.813
M H 0.654
T C 0.478
A C 0.737
D C 0.887
R C 0.846
D C 0.816
P C 0.704
V C 0.507
Y E 0.483
D C 0.534
E C 0.662
S C 0.777
T C 0.834
D C 0.849
E C 0.745
E C 0.723
S C 0.737
E C 0.715
N C 0.735
Q C 0.636
T C 0.685
D C 0.674
L H 0.669
S H 0.587
G H 0.569
L H 0.466
A H 0.442
S H 0.440
A H 0.486
A H 0.440
V E 0.410
S C 0.643
K H 0.491
D H 0.648
D H 0.705
S H 0.629
I H 0.617
I H 0.615
S H 0.622
S H 0.430
L C 0.609
D C 0.879
V C 0.645
T C 0.727
D C 0.731
I C 0.731
A C 0.721
P H 0.573
S H 0.774
R H 0.764
K H 0.743
R H 0.687
R H 0.544
Q C 0.867
R C 0.522
M H 0.399
Q H 0.392
R C 0.456
N C 0.515
L C 0.606
G C 0.936
T C 0.720
E C 0.616
P C 0.594
K C 0.525
M C 0.604
A C 0.755
P H 0.577
Q H 0.622
E H 0.651
N C 0.506
Q H 0.553
L H 0.558
Q H 0.548
E C 0.492
K C 0.512
E C 0.715
N C 0.681
S C 0.730
R C 0.896
P C 0.897
D C 0.929
S C 0.807
S C 0.770
L C 0.833
P C 0.829
E C 0.789
T C 0.802
S C 0.817
K C 0.601
K C 0.545
E C 0.526
H C 0.491
I E 0.577
S E 0.564
A E 0.565
E E 0.631
N E 0.700
M E 0.791
S E 0.825
L E 0.808
E E 0.792
T E 0.764
L E 0.602
R C 0.509
N C 0.597
S C 0.717
S C 0.900
P H 0.675
E H 0.657
D H 0.677
L C 0.573
F C 0.671
D C 0.782
E C 0.837
I C 0.922
END