PFRMAT SS
TARGET T0180
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 T0180.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 1
METHOD
MODEL 1
M C 0.751
V C 0.607
G C 0.586
R C 0.543
R C 0.425
P T 0.481
G T 0.582
G T 0.597
G C 0.466
L T 0.429
K T 0.462
D T 0.423
T C 0.405
K C 0.474
P C 0.405
V E 0.796
V E 0.910
V E 0.907
R E 0.898
L E 0.710
Y C 0.430
P T 0.442
D T 0.358
E H 0.528
I H 0.597
E H 0.625
A H 0.644
L H 0.606
K H 0.533
S H 0.508
R H 0.347
V C 0.442
P C 0.386
A T 0.348
N T 0.342
T H 0.362
S H 0.418
M H 0.761
S H 0.846
A H 0.916
Y H 0.916
I H 0.922
R H 0.927
R H 0.909
I H 0.895
I H 0.848
L H 0.812
N H 0.650
H H 0.449
L H 0.283
E T 0.322
D T 0.438
D T 0.502
G T 0.487
G T 0.443
G C 0.422
G C 0.437
G C 0.418
G T 0.421
G T 0.453
G T 0.476
G T 0.482
G T 0.465
G T 0.430
G T 0.361
M E 0.401
V E 0.405
G C 0.373
R C 0.384
R T 0.432
P T 0.537
G T 0.622
G T 0.593
G C 0.428
L T 0.398
K T 0.446
D T 0.416
T C 0.398
K C 0.469
P C 0.402
V E 0.796
V E 0.910
V E 0.907
R E 0.898
L E 0.710
Y C 0.430
P T 0.442
D T 0.358
E H 0.528
I H 0.597
E H 0.625
A H 0.644
L H 0.606
K H 0.533
S H 0.508
R H 0.347
V C 0.442
P C 0.386
A T 0.348
N T 0.342
T H 0.362
S H 0.418
M H 0.761
S H 0.851
A H 0.921
Y H 0.925
I H 0.928
R H 0.932
R H 0.931
I H 0.917
I H 0.893
L H 0.886
N H 0.767
H H 0.612
L H 0.440
E C 0.431
D C 0.685
D C 0.974
END