PFRMAT SS
TARGET T0160
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 T0160.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 81
METHOD
MODEL 1
G C 0.997
S C 0.820
H C 0.498
M C 0.373
A C 0.428
K C 0.473
H C 0.580
E C 0.408
Q C 0.416
I E 0.499
L E 0.865
V E 0.916
L E 0.889
D C 0.512
P T 0.526
P T 0.670
S S 0.297
D E 0.489
L E 0.807
K E 0.889
F E 0.859
K E 0.644
G C 0.425
P C 0.502
F T 0.481
T S 0.413
D S 0.517
V C 0.396
V E 0.657
T E 0.837
T E 0.886
N E 0.927
L E 0.975
K E 0.987
L E 0.964
Q E 0.903
N E 0.558
P C 0.504
S S 0.344
D S 0.437
R S 0.437
K C 0.453
V E 0.622
C E 0.895
F E 0.954
K E 0.967
V E 0.935
K E 0.895
T E 0.745
T E 0.319
A C 0.401
P S 0.425
R S 0.307
R E 0.428
Y E 0.691
C E 0.858
V E 0.786
R E 0.528
P C 0.586
N S 0.410
S E 0.479
G E 0.532
V E 0.808
I E 0.689
D C 0.751
P T 0.828
G T 0.880
S C 0.431
I E 0.581
V E 0.938
Y E 0.990
V E 0.992
S E 0.994
V E 0.981
M E 0.952
L E 0.793
Q C 0.478
P C 0.469
F C 0.380
D C 0.487
Y C 0.487
D C 0.726
P C 0.611
N T 0.314
E T 0.295
K C 0.344
S C 0.355
K C 0.268
H C 0.413
K E 0.804
F E 0.973
M E 0.991
V E 0.993
Q E 0.991
T E 0.976
I E 0.915
F E 0.831
A C 0.500
P C 0.640
P T 0.387
N C 0.377
I H 0.252
S H 0.403
D H 0.516
M H 0.774
E H 0.894
A H 0.908
V H 0.917
W H 0.897
K H 0.789
E H 0.679
A H 0.465
K C 0.308
P T 0.340
D S 0.306
E C 0.365
L C 0.342
M E 0.680
D E 0.852
S E 0.882
K E 0.899
P E 0.885
R E 0.916
C E 0.936
V E 0.951
F E 0.935
E E 0.854
M C 0.952
END