PFRMAT SS
TARGET T0392
AUTHOR SAM-T02-server
METHOD Using neural net t2k-5740-IDaaHr-5-15-7-15-9-15-13-ebghstl-seeded.net
METHOD This is a 4-layer network, with 
METHOD	window	units
METHOD	    5	   15
METHOD	    7	   15
METHOD	    9	   15
METHOD	   13	    7 (1 EBGHSTL )
METHOD The input amino acid frequencies were determined from
METHOD alignment T0392.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 317
METHOD
MODEL 1
M C 0.869
H C 0.515
H C 0.319
H C 0.318
H T 0.304
H T 0.237
H C 0.275
S C 0.278
S C 0.318
G C 0.432
V C 0.599
D T 0.316
L T 0.308
G C 0.288
T C 0.314
E C 0.400
N C 0.359
L C 0.349
Y C 0.450
F C 0.535
Q C 0.466
S C 0.500
M C 0.613
P C 0.490
R E 0.832
S E 0.942
I E 0.964
R E 0.965
F E 0.912
T E 0.726
A C 0.364
E T 0.448
E T 0.396
G S 0.440
D C 0.414
L E 0.589
G E 0.820
F E 0.899
T E 0.927
L E 0.860
R E 0.572
G T 0.505
N S 0.491
A S 0.507
P E 0.503
V E 0.756
Q E 0.938
V E 0.940
H E 0.952
F E 0.927
L E 0.679
D C 0.765
P T 0.831
Y T 0.673
C C 0.598
S H 0.737
A H 0.678
S H 0.521
V H 0.581
A T 0.466
G T 0.818
A C 0.987
R C 0.919
E T 0.605
G T 0.864
D C 0.610
Y E 0.887
I E 0.978
V E 0.990
S E 0.967
I E 0.882
Q T 0.891
L T 0.809
V E 0.635
D E 0.697
C E 0.739
K T 0.453
W T 0.502
L C 0.470
T C 0.639
L H 0.965
S H 0.990
E H 0.993
V H 0.995
M H 0.996
K H 0.993
L H 0.988
L H 0.977
K H 0.898
S H 0.645
F T 0.291
G T 0.485
E S 0.354
D C 0.437
E E 0.594
I E 0.922
E E 0.976
M E 0.981
K E 0.982
V E 0.933
V E 0.753
S C 0.519
L C 0.362
L C 0.327
D S 0.372
E C 0.303
V C 0.482
T C 0.613
F C 0.908
END