PFRMAT SS
TARGET T0140
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 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 0.887
R C 0.709
G C 0.622
S C 0.550
H C 0.378
H E 0.450
H E 0.426
H C 0.478
H C 0.540
H T 0.423
G T 0.372
S E 0.363
R E 0.448
L E 0.609
Q E 0.535
S E 0.359
G E 0.418
K E 0.556
M E 0.721
T E 0.850
G E 0.954
I E 0.978
V E 0.980
K E 0.947
W E 0.894
F E 0.742
N E 0.726
A E 0.589
D E 0.419
K T 0.505
G T 0.581
F C 0.380
G E 0.735
F E 0.841
I E 0.734
T E 0.533
P G 0.450
D G 0.474
D T 0.480
G T 0.464
S C 0.536
K E 0.685
D E 0.852
V E 0.909
F E 0.923
V E 0.916
H E 0.861
F E 0.740
S E 0.576
A T 0.302
G T 0.311
S T 0.320
S H 0.416
G H 0.583
A H 0.531
A H 0.560
V H 0.489
R H 0.464
G H 0.436
N C 0.287
P C 0.420
Q T 0.748
Q T 0.835
G T 0.884
D E 0.617
R E 0.859
V E 0.948
E E 0.976
G E 0.976
K E 0.982
I E 0.987
K E 0.980
S E 0.963
I E 0.920
T E 0.620
D T 0.555
F T 0.596
G T 0.426
I E 0.854
F E 0.958
I E 0.972
G E 0.940
L E 0.708
D T 0.803
G T 0.863
G T 0.790
I T 0.423
D E 0.574
G E 0.936
L E 0.956
V E 0.934
H E 0.884
L E 0.664
S E 0.363
D G 0.296
I G 0.255
S T 0.325
W H 0.380
A H 0.371
Q H 0.447
A C 0.435
E C 0.574
A C 0.884
END