PFRMAT SS
TARGET T0160
METHOD Using neural net t2k-5651-IDaaHr-5-15-7-15-9-15-13-alpha-seeded.net
METHOD This is a 4-layer network, with 
METHOD	window	units
METHOD	    5	   15
METHOD	    7	   15
METHOD	    9	   15
METHOD	   13	   11 (1 ABCDEFGHIST )
METHOD The input amino acid frequencies were determined from
METHOD alignment T0160.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 81
METHOD
MODEL 1
G E 0.165
S B 0.182
H E 0.224
M B 0.160
A B 0.194
K B 0.272
H B 0.247
E B 0.135
Q B 0.230
I E 0.393
L E 0.515
V E 0.517
L E 0.427
D B 0.321
P B 0.219
P I 0.197
S S 0.183
D E 0.465
L E 0.602
K E 0.423
F B 0.392
K E 0.210
G B 0.308
P B 0.220
F H 0.197
T S 0.256
D B 0.205
V E 0.313
V E 0.450
T A 0.439
T E 0.520
N A 0.481
L E 0.645
K E 0.597
L A 0.425
Q E 0.277
N E 0.286
P I 0.384
S B 0.433
D S 0.288
R B 0.421
K E 0.415
V E 0.507
C A 0.495
F E 0.516
K E 0.520
V E 0.490
K E 0.413
T E 0.394
T I 0.206
A B 0.321
P I 0.362
R G 0.165
R A 0.422
Y E 0.513
C E 0.527
V E 0.437
R B 0.369
P B 0.312
N E 0.162
S S 0.179
G C 0.262
V E 0.356
I B 0.387
D C 0.494
P G 0.416
G S 0.720
S B 0.445
I A 0.542
V E 0.612
Y E 0.536
V E 0.657
S E 0.672
V E 0.482
M E 0.572
L E 0.398
Q E 0.282
P B 0.162
F B 0.176
D B 0.247
Y B 0.172
D B 0.288
P B 0.214
N H 0.197
E H 0.208
K H 0.185
S H 0.158
K E 0.189
H E 0.294
K E 0.543
F E 0.677
M E 0.739
V A 0.539
Q E 0.515
T E 0.441
I E 0.447
F E 0.315
A B 0.300
P C 0.332
P H 0.210
N S 0.490
I E 0.225
S H 0.469
D H 0.460
M H 0.756
E H 0.875
A H 0.901
V H 0.856
W H 0.729
K H 0.743
E H 0.534
A H 0.234
K H 0.193
P H 0.186
D S 0.248
E E 0.166
L E 0.236
M E 0.456
D E 0.440
S E 0.504
K A 0.397
P E 0.428
R E 0.485
C E 0.604
V E 0.410
F E 0.510
E E 0.373
M E 0.306
END