PFRMAT SS
TARGET T0157
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 T0157.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 56
METHOD
MODEL 1
M B 0.147
S E 0.176
G B 0.248
T E 0.473
L E 0.434
L E 0.486
A E 0.432
F E 0.438
D E 0.420
F S 0.180
G D 0.283
T E 0.273
K E 0.380
S E 0.375
I E 0.297
G E 0.301
V E 0.527
A E 0.520
V A 0.272
G B 0.355
Q B 0.239
R I 0.317
I H 0.264
T S 0.316
G H 0.189
T E 0.214
A A 0.222
R B 0.345
P B 0.271
L E 0.276
P H 0.276
A E 0.338
I E 0.428
K E 0.418
A E 0.203
Q G 0.145
D S 0.174
G S 0.349
T B 0.397
P H 0.319
D B 0.332
W H 0.767
N H 0.934
I H 0.939
I H 0.940
E H 0.938
R H 0.939
L H 0.912
L H 0.804
K H 0.740
E H 0.524
W B 0.312
Q A 0.353
P A 0.405
D G 0.700
E E 0.701
I E 0.820
I A 0.407
V G 0.212
G S 0.261
L C 0.404
P B 0.374
L B 0.273
N C 0.257
M I 0.241
D B 0.244
G S 0.671
T B 0.321
E S 0.193
Q C 0.351
P H 0.443
L H 0.679
T H 0.864
A H 0.918
R H 0.941
A H 0.934
R H 0.958
K H 0.971
F H 0.957
A H 0.948
N H 0.955
R H 0.938
I H 0.821
H H 0.781
G H 0.671
R H 0.326
F B 0.455
G S 0.462
V B 0.546
E E 0.581
V E 0.532
K E 0.599
L E 0.476
H E 0.188
D B 0.270
E H 0.276
R H 0.281
L H 0.361
S H 0.536
T H 0.766
V H 0.920
E H 0.959
A H 0.950
R H 0.941
S H 0.944
G H 0.911
L H 0.914
F H 0.803
E H 0.792
Q B 0.725
G T 0.500
G B 0.285
Y B 0.273
R H 0.323
A H 0.507
L H 0.469
N H 0.355
K H 0.424
G H 0.417
K H 0.601
V H 0.762
D H 0.870
S H 0.922
A H 0.956
S H 0.951
A H 0.960
V H 0.970
I H 0.976
I H 0.979
L H 0.946
E H 0.923
S H 0.907
Y H 0.770
F H 0.682
E H 0.559
Q H 0.283
G S 0.205
Y E 0.161
END