PFRMAT SS
TARGET T0151
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 T0151.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 132
METHOD
MODEL 1
M S 0.189
A B 0.158
G E 0.202
D E 0.196
T B 0.220
T E 0.376
I E 0.653
T E 0.729
I E 0.455
V T 0.265
G C 0.291
N E 0.257
L E 0.146
T B 0.197
A S 0.176
D E 0.391
P I 0.339
E H 0.211
L A 0.342
R E 0.361
F E 0.435
T C 0.685
P H 0.513
S B 0.542
G S 0.644
A B 0.629
A E 0.478
V E 0.448
A E 0.594
N E 0.500
F E 0.587
T E 0.606
V E 0.519
A A 0.334
S E 0.285
T E 0.211
P E 0.216
R H 0.181
I E 0.222
Y B 0.245
D C 0.193
R H 0.358
Q B 0.219
T S 0.273
G E 0.160
E E 0.228
W E 0.229
K E 0.247
D E 0.230
G B 0.241
E E 0.281
A E 0.340
L E 0.307
F A 0.373
L E 0.419
R E 0.519
C E 0.622
N E 0.556
I A 0.328
W D 0.233
R D 0.313
E H 0.577
A H 0.777
A H 0.872
E H 0.924
N H 0.900
V H 0.851
A H 0.805
E H 0.815
S H 0.553
L S 0.183
T H 0.287
R H 0.298
G S 0.608
A B 0.574
R E 0.514
V E 0.702
I E 0.653
V A 0.458
S S 0.313
G C 0.409
R E 0.435
L A 0.451
K E 0.328
Q A 0.425
R E 0.265
S E 0.402
F E 0.365
E E 0.406
T C 0.594
R H 0.435
E B 0.673
G S 0.662
E B 0.531
K E 0.455
R E 0.439
T E 0.474
V E 0.440
I E 0.546
E E 0.703
V E 0.520
E E 0.490
V A 0.419
D D 0.172
E E 0.318
I E 0.302
G D 0.266
P B 0.191
S E 0.195
END