PFRMAT SS
TARGET T0392
METHOD Using neural net t2k-5651-IDaaHr-5-15-7-15-9-15-13-ebghtl-seeded.net
METHOD This is a 4-layer network, with 
METHOD	window	units
METHOD	    5	   15
METHOD	    7	   15
METHOD	    9	   15
METHOD	   13	    6 (1 EBGHTL )
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 0.878
H C 0.701
H C 0.605
H C 0.381
H T 0.441
H T 0.439
H T 0.390
S T 0.394
S C 0.378
G C 0.500
V C 0.414
D T 0.425
L T 0.447
G T 0.419
T T 0.374
E T 0.470
N T 0.483
L T 0.469
Y T 0.475
F C 0.445
Q C 0.553
S C 0.632
M C 0.749
P C 0.652
R E 0.750
S E 0.938
I E 0.963
R E 0.975
F E 0.940
T E 0.780
A T 0.389
E T 0.643
E T 0.715
G T 0.616
D C 0.383
L E 0.710
G E 0.899
F E 0.977
T E 0.983
L E 0.963
R E 0.780
G T 0.594
N T 0.603
A T 0.454
P E 0.514
V E 0.889
Q E 0.973
V E 0.975
H E 0.963
F E 0.913
L E 0.685
D T 0.703
P T 0.907
Y T 0.880
C T 0.763
S H 0.724
A H 0.809
S H 0.671
V H 0.772
A H 0.696
G C 0.749
A C 0.671
R T 0.558
E T 0.622
G T 0.680
D E 0.490
Y E 0.920
I E 0.984
V E 0.988
S E 0.979
I E 0.912
Q T 0.628
L T 0.786
V T 0.447
D T 0.371
C T 0.484
K T 0.572
W T 0.596
L T 0.477
T C 0.785
L H 0.926
S H 0.979
E H 0.990
V H 0.993
M H 0.994
K H 0.991
L H 0.984
L H 0.968
K H 0.930
S H 0.606
F T 0.457
G T 0.576
E T 0.577
D C 0.357
E E 0.696
I E 0.874
E E 0.960
M E 0.978
K E 0.981
V E 0.953
V E 0.721
S C 0.446
L T 0.480
L T 0.569
D T 0.501
E T 0.417
V C 0.427
T C 0.713
F C 0.964
END