PFRMAT SS
TARGET T0639
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 T0639.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
S C 0.622
N H 0.404
A H 0.575
M H 0.667
E H 0.643
T H 0.719
L H 0.885
N H 0.901
D H 0.959
I H 0.987
K H 0.988
K H 0.988
I H 0.983
L H 0.969
I H 0.944
N H 0.903
V H 0.831
G C 0.522
L C 0.321
Y T 0.347
Q T 0.398
G C 0.418
F C 0.362
D C 0.331
L T 0.367
T T 0.414
D T 0.450
P T 0.364
K C 0.336
V C 0.324
S C 0.350
E H 0.298
E H 0.305
V T 0.312
N T 0.389
H T 0.412
E C 0.424
T C 0.415
A C 0.447
N C 0.601
M E 0.393
K E 0.603
W E 0.645
I E 0.542
K E 0.406
D T 0.300
Y T 0.291
T T 0.467
S T 0.545
D T 0.606
G T 0.573
N T 0.410
W T 0.358
D H 0.414
N H 0.693
E H 0.846
F H 0.916
K H 0.909
E H 0.934
D H 0.871
L H 0.976
K H 0.974
N H 0.974
F H 0.979
L H 0.981
D H 0.971
Y H 0.964
M H 0.947
E H 0.921
V H 0.947
C H 0.914
Q H 0.833
L H 0.763
A H 0.614
L H 0.414
N C 0.415
D H 0.468
K H 0.585
N H 0.521
F H 0.720
K H 0.725
I H 0.688
A H 0.712
S H 0.759
N H 0.834
S H 0.864
L H 0.917
F H 0.926
M H 0.959
A H 0.959
M H 0.960
I H 0.938
Y H 0.915
A H 0.893
G H 0.635
N H 0.429
L H 0.939
S H 0.945
L H 0.946
I H 0.967
F H 0.959
D H 0.943
S H 0.923
I H 0.933
K H 0.932
T H 0.916
D H 0.887
I H 0.977
S H 0.972
T H 0.968
L H 0.951
L H 0.918
S H 0.838
A H 0.717
E H 0.538
Y H 0.352
K T 0.379
K T 0.413
N T 0.437
S C 0.526
F C 0.493
S C 0.544
W C 0.373
P C 0.354
S C 0.327
L C 0.512
D C 0.730
E C 0.888
END