PFRMAT SS
TARGET T0497
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 T0497.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 152
METHOD
MODEL 1
M C 0.851
A C 0.783
D C 0.777
P H 0.867
K H 0.930
E H 0.933
L H 0.966
Q H 0.986
D H 0.988
K H 0.994
F H 0.997
W H 0.998
K H 0.996
A H 0.995
L H 0.993
K H 0.977
S H 0.800
D C 0.473
R C 0.852
T E 0.549
V E 0.938
M E 0.980
L E 0.976
G E 0.963
L E 0.915
D E 0.794
G T 0.613
V T 0.878
E T 0.901
D T 0.800
G C 0.553
H E 0.475
A E 0.442
R E 0.451
P C 0.547
M C 0.548
T C 0.466
A C 0.380
Q C 0.345
I T 0.310
E T 0.316
G T 0.372
D T 0.673
S T 0.682
G T 0.655
G T 0.452
P E 0.564
I E 0.905
W E 0.942
F E 0.938
F E 0.792
T C 0.404
S T 0.750
K T 0.829
D T 0.834
N T 0.718
A H 0.546
L H 0.783
I H 0.836
A H 0.862
M H 0.839
L H 0.834
G H 0.729
Q H 0.546
G T 0.775
R T 0.802
R T 0.566
V E 0.752
I E 0.882
G E 0.974
A E 0.976
F E 0.964
S E 0.918
S E 0.655
K T 0.850
G T 0.865
H T 0.807
D T 0.558
L E 0.868
F E 0.966
A E 0.984
S E 0.990
I E 0.979
S E 0.942
G E 0.899
S E 0.943
L E 0.962
R E 0.960
E E 0.926
D E 0.640
T C 0.719
D C 0.832
P H 0.941
A H 0.958
V H 0.965
V H 0.969
D H 0.966
R H 0.951
L H 0.942
W H 0.927
N H 0.735
P H 0.865
Y H 0.894
V H 0.887
A H 0.915
A H 0.893
W H 0.811
Y T 0.388
E T 0.620
G T 0.734
G T 0.892
K T 0.811
D T 0.793
D T 0.920
P T 0.875
K T 0.791
L E 0.829
A E 0.968
L E 0.990
L E 0.987
R E 0.974
L E 0.839
D E 0.493
A T 0.668
D T 0.656
H E 0.624
A E 0.856
Q E 0.952
I E 0.947
W E 0.898
L E 0.765
N T 0.648
G T 0.833
S T 0.750
S T 0.408
L H 0.514
L H 0.557
A E 0.510
G H 0.495
I H 0.580
K H 0.701
V H 0.718
L H 0.692
L H 0.588
G C 0.654
V C 0.881
END