PFRMAT SS
TARGET T0590
AUTHOR SAM-T02-server
METHOD Using neural net t2k-5740-IDaaHr-5-15-7-15-9-15-13-ebghstl-seeded.net
METHOD This is a 4-layer network, with 
METHOD	window	units
METHOD	    5	   15
METHOD	    7	   15
METHOD	    9	   15
METHOD	   13	    7 (1 EBGHSTL )
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 0.999
N C 0.912
A S 0.317
R C 0.387
D C 0.707
N C 0.357
K E 0.718
F E 0.822
N E 0.894
T E 0.868
W E 0.841
N E 0.602
D C 0.376
S T 0.454
R T 0.433
G S 0.473
N C 0.463
Y C 0.453
W C 0.412
S C 0.454
D C 0.380
Y C 0.578
E C 0.491
G E 0.362
S E 0.602
D E 0.680
E E 0.688
N E 0.467
G C 0.358
D S 0.327
G S 0.316
I E 0.680
G E 0.916
D E 0.958
S E 0.983
A E 0.991
Y E 0.983
A E 0.972
V E 0.899
N E 0.661
P C 0.505
E T 0.631
A T 0.682
G S 0.403
S C 0.419
M E 0.517
D E 0.584
Y E 0.708
M E 0.756
P E 0.828
L E 0.893
M E 0.924
E E 0.946
Y E 0.924
L E 0.854
H E 0.647
S C 0.551
S C 0.528
P C 0.378
V C 0.471
L C 0.615
P C 0.507
T E 0.636
A E 0.755
R E 0.772
F E 0.813
T E 0.798
S E 0.699
D E 0.418
I C 0.301
T T 0.300
E S 0.295
G C 0.336
F C 0.378
A E 0.381
P C 0.425
L E 0.680
S E 0.879
V E 0.905
R E 0.903
F E 0.812
K E 0.620
D C 0.530
F T 0.443
S T 0.483
E S 0.505
N C 0.509
A E 0.554
T E 0.854
S E 0.937
R E 0.942
L E 0.942
W E 0.943
M E 0.792
F E 0.455
G T 0.360
D T 0.460
G S 0.452
N C 0.493
T C 0.474
S C 0.497
D C 0.399
S C 0.444
P C 0.393
S C 0.588
P C 0.635
L E 0.473
H E 0.816
T E 0.868
F E 0.862
F E 0.576
N C 0.312
E S 0.380
G E 0.311
E E 0.659
Y E 0.930
I E 0.967
V E 0.985
S E 0.995
L E 0.993
I E 0.988
V E 0.936
S E 0.740
N C 0.622
E T 0.695
N T 0.789
D S 0.412
S C 0.434
D E 0.463
S E 0.584
A E 0.752
S E 0.798
V E 0.826
T E 0.860
I E 0.797
R E 0.726
A C 0.995
END