PFRMAT SS
TARGET T0181
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 T0181.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 2
METHOD
MODEL 1
M C 0.790
S C 0.600
T C 0.432
V E 0.395
T E 0.578
K E 0.753
Y E 0.782
F E 0.804
Y E 0.740
K E 0.488
G T 0.682
E T 0.767
N T 0.688
T T 0.371
D E 0.750
L E 0.968
I E 0.982
V E 0.976
F E 0.929
A E 0.707
A C 0.451
S C 0.588
E T 0.411
E H 0.501
L H 0.629
V H 0.738
D H 0.731
E H 0.653
Y H 0.555
L H 0.375
K T 0.456
N T 0.820
P T 0.835
S T 0.701
I T 0.565
G C 0.360
K H 0.528
L H 0.863
S H 0.825
E H 0.719
V H 0.693
V H 0.509
E H 0.370
L E 0.398
F E 0.615
E E 0.778
V E 0.867
F E 0.826
T E 0.714
P E 0.438
Q T 0.442
D T 0.667
G T 0.685
R T 0.553
G T 0.499
A T 0.465
E T 0.423
G T 0.464
E T 0.339
L E 0.313
G E 0.367
A E 0.323
A H 0.333
S H 0.347
K H 0.887
A H 0.898
Q H 0.916
V H 0.917
E H 0.910
N H 0.857
E H 0.763
F H 0.653
G T 0.330
K H 0.345
G H 0.346
K H 0.442
K H 0.477
I H 0.798
E H 0.955
E H 0.979
V H 0.991
I H 0.995
D H 0.992
L H 0.992
I H 0.988
L H 0.973
R H 0.948
N H 0.772
G C 0.638
K C 0.452
P T 0.628
N T 0.674
S T 0.534
T C 0.415
T E 0.330
S E 0.332
S E 0.350
L E 0.470
K E 0.493
T E 0.388
K T 0.479
G T 0.579
G T 0.516
N C 0.395
A T 0.340
G T 0.359
T T 0.280
K C 0.322
A C 0.421
Y C 0.617
N C 0.972
END