PFRMAT SS
TARGET T0155
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 T0155.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 49
METHOD
MODEL 1
M S 0.203
A E 0.215
D H 0.204
R E 0.486
I E 0.544
E E 0.549
L A 0.493
R F 0.495
G T 0.424
L E 0.610
T E 0.668
V A 0.447
H A 0.256
G E 0.337
R E 0.271
H G 0.192
G S 0.166
V A 0.201
Y B 0.311
D H 0.607
H H 0.746
E H 0.750
R H 0.653
V H 0.483
A B 0.616
G S 0.475
Q B 0.473
R E 0.447
F E 0.581
V E 0.629
I E 0.554
D E 0.521
V E 0.535
T E 0.466
V E 0.458
W E 0.351
I B 0.259
D E 0.267
L I 0.496
A H 0.539
E H 0.408
A H 0.383
A S 0.253
N B 0.185
S B 0.340
D H 0.335
D H 0.240
L H 0.385
A H 0.586
D H 0.396
T H 0.392
Y H 0.323
D E 0.305
Y H 0.716
V H 0.928
R H 0.945
L H 0.934
A H 0.957
S H 0.969
R H 0.968
A H 0.918
A H 0.922
E H 0.935
I H 0.813
V H 0.661
A H 0.388
G S 0.442
P B 0.289
P H 0.269
R H 0.457
K H 0.698
L H 0.798
I H 0.890
E H 0.930
T H 0.933
V H 0.897
G H 0.887
A H 0.924
E H 0.933
I H 0.886
A H 0.840
D H 0.871
H H 0.735
V H 0.492
M H 0.455
D S 0.336
D E 0.292
Q I 0.237
R S 0.319
V E 0.416
H E 0.412
A A 0.490
V E 0.726
E E 0.691
V E 0.581
A E 0.627
V E 0.474
H B 0.255
K C 0.396
P H 0.200
Q S 0.262
A C 0.394
P B 0.247
I B 0.326
P B 0.283
Q H 0.302
T S 0.239
F T 0.193
D G 0.316
D A 0.254
V E 0.553
A E 0.517
V E 0.681
V E 0.737
I E 0.526
R E 0.548
R E 0.418
S E 0.284
R C 0.223
R D 0.248
G D 0.336
G S 0.217
R E 0.213
G E 0.225
W E 0.394
V E 0.447
V E 0.382
P B 0.264
A G 0.191
G S 0.317
G S 0.206
A B 0.225
V E 0.204
END