PFRMAT SS
TARGET T0157
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 T0157.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 56
METHOD
MODEL 1
M C 0.850
S C 0.659
G C 0.407
T E 0.819
L E 0.944
L E 0.963
A E 0.932
F E 0.833
D E 0.545
F T 0.619
G T 0.751
T T 0.543
K E 0.479
S E 0.771
I E 0.884
G E 0.916
V E 0.951
A E 0.929
V E 0.858
G E 0.487
Q T 0.491
R T 0.650
I T 0.662
T T 0.581
G T 0.399
T E 0.338
A E 0.608
R E 0.617
P E 0.388
L E 0.275
P E 0.283
A E 0.438
I E 0.593
K E 0.639
A E 0.476
Q C 0.317
D C 0.443
G C 0.556
T C 0.423
P H 0.556
D H 0.716
W H 0.956
N H 0.975
I H 0.986
I H 0.994
E H 0.994
R H 0.992
L H 0.988
L H 0.973
K H 0.946
E H 0.842
W H 0.414
Q C 0.842
P C 0.735
D E 0.564
E E 0.981
I E 0.995
I E 0.991
V E 0.958
G E 0.787
L E 0.477
P C 0.392
L E 0.407
N T 0.836
M T 0.942
D T 0.959
G T 0.898
T C 0.739
E C 0.392
Q C 0.563
P H 0.462
L H 0.862
T H 0.967
A H 0.991
R H 0.993
A H 0.996
R H 0.998
K H 0.997
F H 0.997
A H 0.997
N H 0.992
R H 0.994
I H 0.991
H H 0.971
G H 0.928
R H 0.882
F H 0.545
G C 0.936
V C 0.861
E E 0.525
V E 0.962
K E 0.974
L E 0.949
H E 0.802
D C 0.359
E T 0.549
R T 0.616
L T 0.437
S H 0.385
T H 0.882
V H 0.990
E H 0.996
A H 0.997
R H 0.997
S H 0.997
G H 0.996
L H 0.990
F H 0.984
E H 0.956
Q H 0.842
G C 0.933
G C 0.816
Y C 0.720
R G 0.394
A G 0.480
L G 0.452
N H 0.535
K H 0.504
G H 0.448
K H 0.564
V H 0.680
D H 0.838
S H 0.994
A H 0.999
S H 0.999
A H 0.999
V H 0.999
I H 0.998
I H 0.996
L H 0.994
E H 0.988
S H 0.945
Y H 0.964
F H 0.916
E H 0.853
Q H 0.532
G C 0.845
Y C 0.977
END