PFRMAT SS
TARGET T0187
AUTHOR 4069-6308-1312
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 T0187.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 29
METHOD
MODEL 1
L C 0.999
K C 0.963
K C 0.604
P C 0.500
A E 0.969
A E 0.995
L E 0.993
I E 0.939
F C 0.486
G S 0.558
G S 0.466
E C 0.401
T C 0.481
V E 0.577
V E 0.854
H E 0.917
V E 0.845
K E 0.690
G S 0.335
N S 0.338
G C 0.364
I C 0.441
G S 0.410
G C 0.505
R H 0.473
N H 0.743
Q H 0.921
E H 0.956
L H 0.958
A H 0.983
L H 0.985
S H 0.987
A H 0.987
A H 0.985
I H 0.960
A H 0.895
L H 0.790
E T 0.468
G T 0.665
I C 0.656
E T 0.394
G T 0.564
V E 0.446
I E 0.842
L E 0.957
C E 0.955
S E 0.894
A E 0.715
G E 0.391
T C 0.337
D S 0.304
G C 0.420
T C 0.483
D S 0.419
G S 0.329
P C 0.418
T C 0.275
D S 0.321
A C 0.342
A T 0.314
G E 0.424
G E 0.757
I E 0.809
V E 0.578
D C 0.688
G T 0.385
S H 0.395
T H 0.762
A H 0.960
K H 0.966
T H 0.970
L H 0.961
K H 0.947
A H 0.734
M T 0.841
G T 0.857
E C 0.705
D C 0.856
P H 0.794
Y H 0.852
Q H 0.870
Y H 0.924
L H 0.822
K H 0.492
N H 0.421
N C 0.292
D C 0.492
S H 0.521
Y H 0.916
N H 0.941
A H 0.951
L H 0.952
K H 0.904
K H 0.815
S H 0.605
G H 0.479
A H 0.402
L H 0.519
L E 0.436
I E 0.410
T E 0.323
G C 0.689
P T 0.718
T T 0.659
G C 0.447
T C 0.440
N E 0.264
V E 0.330
N E 0.402
D E 0.477
L E 0.643
I E 0.704
I E 0.835
G E 0.828
L E 0.813
I E 0.638
V C 0.991
END