PFRMAT SS
TARGET T0137
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 T0137.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 111
METHOD
MODEL 1
M E 0.169
E B 0.200
A E 0.199
F S 0.258
L E 0.179
G D 0.235
T E 0.467
W E 0.506
K E 0.543
M A 0.495
E F 0.248
K E 0.249
S E 0.231
E B 0.183
G B 0.315
F H 0.592
D H 0.889
K H 0.927
I H 0.923
M H 0.901
E H 0.830
R H 0.794
L B 0.759
G S 0.526
V B 0.445
D H 0.242
F H 0.656
V H 0.876
T H 0.845
R H 0.817
K H 0.760
M H 0.681
G H 0.469
N H 0.395
L S 0.264
V E 0.252
K B 0.269
P E 0.342
N E 0.467
L E 0.630
I E 0.633
V A 0.481
T E 0.503
D A 0.317
L A 0.131
G D 0.417
G D 0.257
G S 0.237
K E 0.439
Y E 0.623
K E 0.607
M E 0.470
R E 0.405
S E 0.537
E A 0.324
S E 0.295
T E 0.226
F E 0.241
K E 0.258
T E 0.390
T E 0.584
E A 0.519
C E 0.627
S A 0.414
F E 0.471
K C 0.266
L F 0.229
G S 0.470
E E 0.352
K E 0.400
F E 0.361
K A 0.337
E E 0.305
V E 0.337
T A 0.215
P D 0.236
D D 0.397
S S 0.586
R B 0.463
E E 0.455
V E 0.403
A E 0.379
S E 0.518
L E 0.564
I E 0.612
T E 0.623
V A 0.368
E F 0.297
N D 0.681
G S 0.848
V B 0.504
M E 0.479
K E 0.500
H E 0.486
E E 0.487
Q E 0.390
D E 0.191
D D 0.202
K I 0.159
T C 0.204
K E 0.269
V A 0.364
T E 0.456
Y E 0.598
I E 0.529
E A 0.468
R E 0.543
V E 0.582
V A 0.585
E D 0.549
G D 0.839
N S 0.809
E B 0.507
L E 0.492
K E 0.492
A E 0.554
T E 0.569
V E 0.571
K A 0.453
V D 0.553
D D 0.455
E C 0.217
V E 0.539
V E 0.479
C E 0.463
V E 0.502
R E 0.513
T E 0.411
Y E 0.379
S E 0.280
K E 0.287
V B 0.355
A B 0.348
END