PFRMAT SS
TARGET T0590
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 T0590.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 1304
METHOD
MODEL 1
M C 0.642
N T 0.645
A T 0.762
R T 0.814
D T 0.636
N C 0.504
K C 0.354
F E 0.675
N E 0.820
T E 0.899
W E 0.930
N E 0.835
D E 0.542
S T 0.669
R T 0.784
G T 0.591
N T 0.376
Y C 0.370
W T 0.373
S T 0.343
D T 0.332
Y T 0.362
E E 0.363
G E 0.555
S E 0.782
D E 0.834
E E 0.775
N E 0.574
G C 0.358
D T 0.377
G E 0.347
I E 0.655
G E 0.913
D E 0.973
S E 0.984
A E 0.986
Y E 0.984
A E 0.965
V E 0.912
N E 0.703
P T 0.579
E T 0.821
A T 0.829
G T 0.735
S E 0.334
M E 0.626
D E 0.659
Y E 0.770
M E 0.826
P E 0.885
L E 0.907
M E 0.931
E E 0.943
Y E 0.937
L E 0.874
H E 0.655
S C 0.423
S C 0.483
P C 0.552
V C 0.540
L C 0.630
P C 0.567
T E 0.654
A E 0.761
R E 0.830
F E 0.880
T E 0.858
S E 0.752
D E 0.492
I T 0.449
T T 0.571
E T 0.540
G T 0.403
F C 0.385
A E 0.408
P E 0.454
L E 0.716
S E 0.848
V E 0.921
R E 0.919
F E 0.843
K E 0.659
D T 0.695
F T 0.858
S T 0.881
E T 0.786
N C 0.721
A E 0.560
T E 0.806
S E 0.922
R E 0.911
L E 0.923
W E 0.931
M E 0.854
F E 0.527
G T 0.745
D T 0.824
G T 0.770
N T 0.438
T T 0.373
S T 0.431
D T 0.376
S T 0.346
P C 0.355
S T 0.388
P T 0.395
L E 0.645
H E 0.889
T E 0.909
F E 0.872
F E 0.703
N E 0.491
E C 0.440
G E 0.411
E E 0.638
Y E 0.916
I E 0.972
V E 0.985
S E 0.984
L E 0.982
I E 0.973
V E 0.930
S E 0.760
N T 0.623
E T 0.930
N T 0.949
D T 0.896
S C 0.411
D E 0.661
S E 0.732
A E 0.849
S E 0.854
V E 0.885
T E 0.859
I E 0.823
R E 0.665
A C 0.952
END