PFRMAT SS
TARGET T0157
AUTHOR 4069-6308-1312
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 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 C 0.836
S C 0.679
G C 0.331
T E 0.779
L E 0.949
L E 0.992
A E 0.994
F E 0.989
D E 0.837
F C 0.411
G T 0.477
T S 0.355
K C 0.375
S E 0.746
I E 0.849
G E 0.908
V E 0.943
A E 0.940
V E 0.866
G E 0.624
Q C 0.435
R T 0.316
I T 0.427
T T 0.332
G C 0.253
T H 0.248
A E 0.303
R C 0.347
P C 0.348
L C 0.242
P E 0.307
A E 0.403
I E 0.543
K E 0.481
A C 0.268
Q T 0.356
D T 0.306
G C 0.480
T C 0.544
P H 0.480
D H 0.594
W H 0.939
N H 0.970
I H 0.980
I H 0.987
E H 0.986
R H 0.976
L H 0.969
L H 0.959
K H 0.929
E H 0.791
W H 0.540
Q C 0.630
P C 0.852
D S 0.636
E E 0.973
I E 0.996
I E 0.998
V E 0.977
G E 0.580
L C 0.416
P C 0.568
L C 0.307
N C 0.507
M T 0.481
D T 0.596
G S 0.607
T C 0.585
E C 0.425
Q C 0.496
P H 0.745
L H 0.927
T H 0.967
A H 0.992
R H 0.991
A H 0.997
R H 0.999
K H 0.999
F H 0.998
A H 0.998
N H 0.996
R H 0.985
I H 0.977
H H 0.910
G H 0.775
R H 0.557
F T 0.285
G C 0.603
V C 0.612
E C 0.602
V E 0.861
K E 0.991
L E 0.989
H E 0.950
D E 0.590
E C 0.643
R S 0.509
L S 0.303
S C 0.372
T H 0.758
V H 0.961
E H 0.986
A H 0.990
R H 0.993
S H 0.989
G H 0.983
L H 0.974
F H 0.955
E H 0.846
Q T 0.849
G T 0.972
G C 0.844
Y C 0.755
R H 0.297
A H 0.344
L H 0.398
N H 0.476
K H 0.493
G H 0.505
K H 0.525
V H 0.681
D H 0.744
S H 0.959
A H 0.984
S H 0.987
A H 0.988
V H 0.992
I H 0.991
I H 0.992
L H 0.981
E H 0.940
S H 0.916
Y H 0.882
F H 0.743
E H 0.491
Q T 0.473
G C 0.565
Y C 0.999
END