PFRMAT SS
TARGET T0155
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 T0155.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 49
METHOD
MODEL 1
M C 0.836
A C 0.490
D E 0.462
R E 0.859
I E 0.950
E E 0.954
L E 0.916
R E 0.521
G T 0.464
L E 0.848
T E 0.938
V E 0.974
H E 0.969
G E 0.947
R E 0.906
H E 0.743
G E 0.446
V C 0.551
Y C 0.695
D H 0.720
H H 0.870
E H 0.824
R H 0.813
V H 0.719
A H 0.532
G C 0.689
Q C 0.664
R C 0.445
F E 0.928
V E 0.982
I E 0.987
D E 0.985
V E 0.968
T E 0.971
V E 0.948
W E 0.935
I E 0.808
D E 0.382
L T 0.552
A T 0.409
E G 0.344
A H 0.443
A H 0.524
N H 0.344
S T 0.335
D T 0.435
D T 0.400
L T 0.335
A T 0.328
D T 0.293
T T 0.289
Y C 0.433
D C 0.803
Y H 0.956
V H 0.978
R H 0.986
L H 0.988
A H 0.992
S H 0.989
R H 0.992
A H 0.994
A H 0.992
E H 0.985
I H 0.972
V H 0.959
A H 0.953
G H 0.487
P C 0.689
P C 0.506
R H 0.709
K H 0.774
L H 0.898
I H 0.955
E H 0.963
T H 0.972
V H 0.986
G H 0.985
A H 0.979
E H 0.982
I H 0.984
A H 0.935
D H 0.928
H H 0.911
V H 0.866
M H 0.544
D T 0.447
D T 0.696
Q T 0.691
R T 0.560
V T 0.402
H E 0.479
A E 0.952
V E 0.980
E E 0.986
V E 0.980
A E 0.950
V E 0.816
H E 0.448
K T 0.453
P T 0.618
Q T 0.619
A T 0.634
P C 0.517
I C 0.410
P T 0.457
Q T 0.475
T T 0.470
F T 0.409
D T 0.422
D C 0.406
V C 0.412
A E 0.614
V E 0.974
V E 0.987
I E 0.981
R E 0.945
R E 0.811
S E 0.535
R T 0.476
R T 0.652
G T 0.634
G T 0.396
R C 0.345
G E 0.415
W E 0.581
V E 0.669
V E 0.501
P T 0.606
A T 0.800
G T 0.822
G T 0.693
A C 0.653
V C 0.897
END