PFRMAT SS
TARGET T0150
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 T0150.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 77
METHOD
MODEL 1
G H 0.522
S H 0.627
V H 0.789
D H 0.893
F H 0.929
A H 0.969
F H 0.977
E H 0.987
L H 0.990
R H 0.986
K H 0.988
A H 0.981
Q H 0.975
D H 0.950
T H 0.861
G C 0.695
K C 0.479
I E 0.650
V E 0.726
M E 0.474
G T 0.415
A H 0.865
R H 0.970
K H 0.980
S H 0.985
I H 0.988
Q H 0.993
Y H 0.994
A H 0.991
K H 0.987
M H 0.912
G C 0.630
G C 0.765
A C 0.504
K E 0.791
L E 0.989
I E 0.996
I E 0.986
V E 0.956
A E 0.769
R C 0.538
N C 0.591
A C 0.552
R T 0.652
P T 0.544
D T 0.396
I H 0.489
K H 0.577
E H 0.615
D H 0.580
I H 0.926
E H 0.964
Y H 0.978
Y H 0.980
A H 0.977
R H 0.962
L H 0.921
S H 0.743
G C 0.920
I C 0.853
P C 0.772
V E 0.911
Y E 0.978
E E 0.972
F E 0.943
E E 0.532
G C 0.581
T C 0.616
S H 0.760
V H 0.905
E H 0.911
L H 0.920
G H 0.830
T H 0.757
L H 0.744
L H 0.683
G C 0.568
R C 0.518
P C 0.529
H E 0.465
T E 0.582
V E 0.875
S E 0.979
A E 0.987
L E 0.988
A E 0.972
V E 0.961
V E 0.852
D T 0.471
P T 0.802
G T 0.717
E T 0.391
S H 0.749
R H 0.792
I H 0.779
L H 0.776
A H 0.742
L H 0.729
G H 0.498
G C 0.440
K C 0.568
E C 0.924
END