PFRMAT SS
TARGET T0138
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 T0138.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 3
METHOD
MODEL 1
M E 0.231
L A 0.180
S B 0.347
Q E 0.227
I E 0.402
A E 0.490
I E 0.468
C E 0.450
I E 0.401
W E 0.334
V E 0.233
E B 0.276
S B 0.260
T H 0.545
A H 0.673
I H 0.747
L H 0.775
Q H 0.811
D H 0.831
C H 0.786
Q H 0.793
R H 0.746
A H 0.644
L H 0.450
S H 0.455
A H 0.327
D H 0.242
R H 0.535
Y H 0.688
Q H 0.583
L H 0.402
Q H 0.487
V H 0.375
C H 0.269
E H 0.398
S H 0.331
G H 0.684
E H 0.813
M H 0.847
L H 0.855
L H 0.855
E H 0.875
Y H 0.795
A H 0.690
Q H 0.692
T H 0.410
H B 0.236
R H 0.435
D H 0.322
Q S 0.217
I E 0.381
D G 0.224
C E 0.498
L E 0.676
I E 0.587
L E 0.582
V E 0.401
A E 0.218
A B 0.171
N B 0.287
P S 0.268
S H 0.257
F H 0.643
R H 0.877
A H 0.914
V H 0.936
V H 0.901
Q H 0.918
Q H 0.925
L H 0.820
C H 0.673
F H 0.598
E H 0.177
G S 0.257
V B 0.322
V A 0.332
V B 0.312
P E 0.474
A E 0.621
I E 0.700
V E 0.611
V E 0.302
G B 0.344
D B 0.203
R B 0.304
D I 0.237
S H 0.193
E S 0.242
D B 0.277
P B 0.244
D B 0.257
E B 0.300
P B 0.291
A B 0.266
K H 0.147
E B 0.209
Q E 0.321
L E 0.338
Y E 0.329
H E 0.330
S A 0.371
A E 0.479
E E 0.550
L E 0.557
H A 0.361
L B 0.412
G B 0.466
I H 0.471
H H 0.625
Q H 0.560
L H 0.672
E H 0.751
Q H 0.403
L H 0.373
P H 0.707
Y H 0.816
Q H 0.886
V H 0.902
D H 0.937
A H 0.937
A H 0.938
L H 0.865
A H 0.876
E H 0.852
F H 0.729
L H 0.583
R H 0.611
L S 0.312
A B 0.270
P H 0.307
V H 0.309
E H 0.373
T H 0.288
M H 0.222
A H 0.198
END