PFRMAT SS
TARGET T0140
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 T0140.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 341
METHOD
MODEL 1
M C 0.994
R C 0.636
G C 0.412
S C 0.322
H E 0.286
H E 0.332
H C 0.321
H C 0.392
H C 0.763
H H 0.288
G H 0.308
S H 0.298
R E 0.278
L E 0.270
Q E 0.259
S T 0.243
G C 0.354
K E 0.363
M E 0.570
T E 0.723
G E 0.892
I E 0.962
V E 0.963
K E 0.956
W E 0.916
F E 0.852
N E 0.829
A E 0.631
D E 0.464
K T 0.268
G T 0.404
F E 0.345
G E 0.708
F E 0.897
I E 0.928
T E 0.741
P T 0.523
D T 0.833
D T 0.670
G S 0.315
S E 0.422
K E 0.834
D E 0.897
V E 0.907
F E 0.904
V E 0.848
H E 0.807
F E 0.617
S E 0.384
A C 0.269
G C 0.433
S C 0.609
S H 0.412
G H 0.613
A H 0.687
A H 0.674
V H 0.647
R H 0.574
G H 0.441
N H 0.223
P C 0.650
Q C 0.640
Q T 0.599
G T 0.444
D E 0.475
R E 0.924
V E 0.943
E E 0.948
G E 0.942
K E 0.976
I E 0.971
K E 0.979
S E 0.957
I E 0.829
T E 0.568
D E 0.396
F T 0.361
G E 0.526
I E 0.749
F E 0.951
I E 0.943
G E 0.923
L E 0.799
D E 0.385
G T 0.657
G T 0.575
I C 0.551
D E 0.368
G E 0.713
L E 0.924
V E 0.935
H E 0.887
L H 0.325
S H 0.321
D G 0.387
I H 0.405
S C 0.318
W T 0.337
A H 0.285
Q C 0.234
A C 0.380
E C 0.583
A C 0.994
END