PFRMAT SS
TARGET T0190
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 T0190.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 36
METHOD
MODEL 1
A C 0.554
Q C 0.517
Q C 0.515
N C 0.521
I C 0.631
L E 0.472
S E 0.828
V E 0.939
H E 0.945
I E 0.919
L E 0.838
N E 0.717
Q E 0.419
Q T 0.664
T T 0.757
G T 0.704
K T 0.454
P C 0.380
A T 0.619
A T 0.639
D T 0.595
V E 0.727
T E 0.944
V E 0.985
T E 0.988
L E 0.990
E E 0.987
K E 0.970
K E 0.814
A T 0.704
D T 0.916
N T 0.886
G E 0.505
W E 0.842
L E 0.883
Q E 0.921
L E 0.819
N E 0.744
T E 0.698
A E 0.759
K E 0.820
T E 0.749
D T 0.788
K T 0.943
D T 0.965
G T 0.823
R C 0.540
I E 0.369
K T 0.484
A T 0.592
L T 0.615
W T 0.549
P T 0.503
E T 0.529
Q T 0.523
T T 0.480
A C 0.395
T C 0.462
T C 0.396
G E 0.479
D E 0.787
Y E 0.950
R E 0.973
V E 0.972
V E 0.937
F E 0.784
K C 0.461
T H 0.439
G H 0.851
D H 0.887
Y H 0.943
F H 0.962
K H 0.949
K H 0.921
Q H 0.744
N C 0.892
L C 0.872
E C 0.684
S C 0.634
F C 0.463
F E 0.383
P E 0.412
E C 0.452
I E 0.730
P E 0.952
V E 0.986
E E 0.990
F E 0.985
H E 0.945
I E 0.801
N E 0.522
K T 0.848
V T 0.903
N T 0.930
E T 0.776
H E 0.547
Y E 0.941
H E 0.930
V E 0.942
P E 0.939
L E 0.889
L E 0.888
L E 0.668
S C 0.411
Q T 0.406
Y T 0.412
G T 0.412
Y T 0.451
S T 0.457
T T 0.492
Y T 0.406
R C 0.578
G C 0.725
S C 0.953
END