PFRMAT SS
TARGET T0557
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 T0557.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 155
METHOD
MODEL 1
M C 0.630
R C 0.512
S H 0.527
A H 0.941
T H 0.972
D H 0.974
L H 0.976
L H 0.977
D H 0.973
E H 0.973
L H 0.951
N H 0.901
A H 0.666
V C 0.372
D C 0.529
E T 0.472
S T 0.416
A E 0.380
R E 0.644
I E 0.873
E E 0.917
A E 0.885
K E 0.778
R E 0.440
A T 0.549
S T 0.688
D T 0.669
M T 0.464
G C 0.522
K H 0.663
S H 0.708
V H 0.911
M H 0.945
E H 0.944
T H 0.942
V H 0.950
I H 0.938
A H 0.838
F H 0.682
A H 0.565
N C 0.555
E T 0.748
P T 0.850
G T 0.887
L T 0.636
D C 0.604
G C 0.422
G E 0.622
Y E 0.939
L E 0.977
L E 0.983
L E 0.945
G E 0.867
V E 0.828
D E 0.815
W E 0.492
A T 0.773
I T 0.839
N T 0.652
D E 0.412
K E 0.792
G E 0.760
D E 0.653
T E 0.573
V E 0.466
Y C 0.355
R C 0.430
P T 0.408
V C 0.457
G C 0.475
L H 0.373
P H 0.515
D H 0.619
P H 0.892
D H 0.931
K H 0.959
V H 0.974
Q H 0.970
R H 0.957
D H 0.930
L H 0.920
A H 0.887
S H 0.747
Q H 0.628
C H 0.664
A H 0.561
S H 0.544
M H 0.391
L C 0.406
N C 0.622
V C 0.686
A C 0.664
L C 0.707
R C 0.456
P C 0.352
E E 0.544
M E 0.815
Q E 0.928
L E 0.958
E E 0.960
Q E 0.931
V E 0.678
G T 0.847
G T 0.854
K T 0.429
T E 0.925
L E 0.993
L E 0.998
V E 0.997
V E 0.991
Y E 0.929
V E 0.502
P C 0.582
E T 0.529
A T 0.580
D T 0.800
V T 0.650
T T 0.680
H T 0.514
K C 0.375
P C 0.472
I E 0.929
Y E 0.967
K E 0.922
K E 0.782
A E 0.374
T T 0.424
G T 0.497
L T 0.629
P T 0.570
G T 0.594
G T 0.371
A E 0.819
Y E 0.926
R E 0.946
R E 0.926
I E 0.713
G T 0.689
S T 0.890
S T 0.843
D T 0.686
Q C 0.436
R C 0.544
C C 0.680
V C 0.980
END