PFRMAT SS
TARGET T0188
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 T0188.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 38
METHOD
MODEL 1
M E 0.567
I E 0.678
I E 0.657
A E 0.534
I E 0.471
P E 0.417
V E 0.216
S D 0.149
E B 0.283
N S 0.334
R B 0.200
G D 0.208
K H 0.149
D S 0.243
S E 0.179
P B 0.237
I B 0.272
S E 0.296
E H 0.254
H H 0.201
F S 0.236
G D 0.267
R S 0.290
A B 0.353
P G 0.263
Y E 0.425
F E 0.639
A E 0.780
F A 0.581
V E 0.610
K E 0.618
V A 0.368
K D 0.370
N D 0.457
N S 0.547
A B 0.414
I A 0.547
A E 0.279
D A 0.535
I E 0.314
S E 0.409
V A 0.465
E B 0.322
E E 0.203
N E 0.295
P B 0.209
L S 0.173
A H 0.240
Q S 0.192
D H 0.235
H S 0.310
V H 0.183
H S 0.186
G H 0.329
A H 0.465
V H 0.746
P H 0.844
N H 0.886
F H 0.909
V H 0.862
K H 0.736
E H 0.501
K B 0.464
G T 0.423
A E 0.544
E G 0.328
L E 0.767
V E 0.793
I E 0.481
V T 0.263
R B 0.156
G E 0.139
I S 0.181
G C 0.333
R H 0.385
R H 0.548
A H 0.739
I H 0.895
A H 0.942
A H 0.960
F H 0.936
E H 0.785
A H 0.868
M B 0.603
G T 0.477
V E 0.442
K E 0.587
V A 0.545
I E 0.591
K E 0.491
G B 0.356
A B 0.205
S S 0.197
G C 0.194
T B 0.598
V H 0.764
E H 0.948
E H 0.963
V H 0.957
V H 0.938
N H 0.944
Q H 0.950
Y H 0.799
L H 0.734
S B 0.548
G S 0.548
Q B 0.360
L E 0.344
K B 0.225
D E 0.286
S E 0.255
D E 0.245
Y B 0.313
E H 0.182
V E 0.200
H B 0.148
D C 0.147
H B 0.139
H S 0.166
H B 0.137
H S 0.181
E H 0.144
H H 0.157
H S 0.181
END