PFRMAT SS
TARGET T0190
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 T0190.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 36
METHOD
MODEL 1
A E 0.166
Q H 0.154
Q S 0.202
N C 0.314
I H 0.179
L E 0.231
S E 0.300
V E 0.275
H E 0.444
I E 0.346
L E 0.339
N E 0.370
Q H 0.320
Q G 0.321
T B 0.239
G S 0.272
K C 0.323
P B 0.229
A E 0.174
A G 0.289
D S 0.308
V E 0.564
T E 0.625
V E 0.567
T E 0.735
L A 0.536
E E 0.547
K E 0.535
K C 0.295
A F 0.207
D B 0.294
N S 0.546
G B 0.298
W A 0.367
L B 0.485
Q A 0.417
L E 0.279
N E 0.338
T E 0.307
A E 0.299
K E 0.295
T B 0.568
D C 0.649
K H 0.544
D B 0.715
G S 0.620
R B 0.451
I E 0.300
K B 0.256
A I 0.205
L S 0.341
W B 0.325
P B 0.381
E I 0.384
Q H 0.386
T H 0.321
A A 0.232
T C 0.163
T S 0.194
G S 0.203
D E 0.505
Y E 0.652
R E 0.663
V E 0.655
V A 0.432
F E 0.433
K A 0.374
T C 0.359
G H 0.539
D H 0.804
Y H 0.843
F H 0.867
K H 0.714
K H 0.734
Q B 0.756
N T 0.507
L B 0.461
E B 0.386
S B 0.211
F S 0.326
F E 0.297
P H 0.272
E S 0.239
I E 0.506
P E 0.612
V E 0.629
E A 0.442
F E 0.538
H E 0.444
I E 0.302
N B 0.240
K H 0.163
V H 0.271
N S 0.447
E E 0.265
H E 0.368
Y E 0.446
H E 0.404
V E 0.436
P E 0.348
L E 0.355
L E 0.375
L E 0.200
S B 0.318
Q I 0.346
Y S 0.182
G E 0.126
Y E 0.214
S E 0.225
T E 0.182
Y E 0.220
R H 0.196
G S 0.169
S B 0.189
END