PFRMAT SS
TARGET T0188
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 T0188.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 38
METHOD
MODEL 1
M C 0.827
I E 0.499
I E 0.845
A E 0.901
I E 0.895
P E 0.687
V C 0.443
S C 0.485
E T 0.544
N T 0.554
R T 0.553
G T 0.673
K T 0.605
D T 0.577
S T 0.548
P T 0.382
I T 0.397
S T 0.467
E T 0.362
H T 0.399
F T 0.390
G T 0.502
R T 0.493
A T 0.687
P T 0.594
Y E 0.504
F E 0.944
A E 0.981
F E 0.991
V E 0.989
K E 0.979
V E 0.876
K T 0.623
N T 0.898
N T 0.855
A E 0.549
I E 0.911
A E 0.947
D E 0.954
I E 0.891
S E 0.862
V E 0.815
E E 0.674
E E 0.512
N C 0.425
P T 0.521
L T 0.494
A T 0.446
Q T 0.524
D T 0.503
H T 0.546
V T 0.532
H C 0.486
G C 0.352
A C 0.486
V H 0.923
P H 0.977
N H 0.989
F H 0.991
V H 0.991
K H 0.991
E H 0.978
K H 0.788
G C 0.939
A C 0.890
E C 0.642
L E 0.986
V E 0.996
I E 0.989
V E 0.908
R C 0.366
G T 0.458
I C 0.487
G C 0.606
R H 0.387
R H 0.689
A H 0.964
I H 0.974
A H 0.979
A H 0.985
F H 0.980
E H 0.974
A H 0.960
M H 0.847
G C 0.947
V C 0.845
K E 0.783
V E 0.956
I E 0.949
K E 0.904
G E 0.542
A T 0.464
S T 0.509
G C 0.413
T C 0.452
V H 0.956
E H 0.984
E H 0.982
V H 0.985
V H 0.985
N H 0.964
Q H 0.958
Y H 0.946
L H 0.871
S H 0.498
G C 0.682
Q C 0.598
L C 0.469
K C 0.361
D G 0.286
S C 0.282
D C 0.417
Y T 0.408
E T 0.436
V T 0.584
H T 0.585
D T 0.537
H T 0.546
H T 0.505
H T 0.440
H C 0.438
E C 0.547
H C 0.691
H C 0.954
END