PFRMAT SS
TARGET T0137
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 T0137.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 111
METHOD
MODEL 1
M C 0.999
E C 0.831
A T 0.353
F C 0.333
L C 0.479
G E 0.599
T E 0.776
W E 0.887
K E 0.943
M E 0.921
E E 0.825
K E 0.707
S E 0.453
E E 0.361
G C 0.389
F H 0.847
D H 0.972
K H 0.987
I H 0.991
M H 0.992
E H 0.974
R H 0.872
L T 0.826
G T 0.969
V C 0.843
D C 0.914
F H 0.944
V H 0.981
T H 0.991
R H 0.994
K H 0.993
M H 0.984
G H 0.960
N H 0.781
L H 0.503
V S 0.336
K C 0.671
P C 0.673
N E 0.641
L E 0.977
I E 0.992
V E 0.981
T E 0.911
D E 0.629
L C 0.265
G T 0.507
G T 0.580
G T 0.321
K E 0.748
Y E 0.935
K E 0.980
M E 0.970
R E 0.945
S E 0.820
E E 0.585
S C 0.342
T S 0.366
F S 0.344
K E 0.468
T E 0.631
T E 0.884
E E 0.945
C E 0.957
S E 0.926
F E 0.903
K E 0.800
L E 0.548
G S 0.336
E S 0.416
K E 0.458
F E 0.575
K E 0.636
E E 0.644
V E 0.718
T E 0.434
P T 0.395
D T 0.753
S S 0.502
R C 0.521
E E 0.736
V E 0.913
A E 0.944
S E 0.948
L E 0.972
I E 0.985
T E 0.948
V E 0.791
E T 0.555
N T 0.852
G T 0.884
V E 0.821
M E 0.983
K E 0.987
H E 0.983
E E 0.975
Q E 0.960
D E 0.787
D E 0.490
K T 0.436
T S 0.471
K S 0.350
V E 0.705
T E 0.903
Y E 0.956
I E 0.964
E E 0.981
R E 0.980
V E 0.984
V E 0.947
E E 0.617
G T 0.824
N T 0.735
E E 0.787
L E 0.973
K E 0.989
A E 0.996
T E 0.995
V E 0.991
K E 0.969
V E 0.898
D T 0.822
E T 0.862
V E 0.884
V E 0.972
C E 0.971
V E 0.961
R E 0.874
T E 0.869
Y E 0.880
S E 0.858
K E 0.622
V C 0.691
A C 0.999
END