PFRMAT SS
TARGET T0160
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 T0160.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 81
METHOD
MODEL 1
G C 0.815
S C 0.644
H T 0.454
M T 0.485
A T 0.520
K T 0.528
H T 0.482
E T 0.551
Q T 0.428
I E 0.364
L E 0.690
V E 0.781
L E 0.789
D E 0.434
P T 0.838
P T 0.897
S T 0.824
D C 0.408
L E 0.874
K E 0.924
F E 0.868
K E 0.749
G E 0.455
P T 0.444
F T 0.690
T T 0.774
D T 0.639
V E 0.514
V E 0.824
T E 0.923
T E 0.966
N E 0.973
L E 0.983
K E 0.984
L E 0.972
Q E 0.907
N E 0.632
P T 0.570
S T 0.708
D T 0.694
R T 0.398
K E 0.663
V E 0.936
C E 0.984
F E 0.983
K E 0.983
V E 0.955
K E 0.877
T E 0.609
T C 0.490
A T 0.544
P T 0.713
R T 0.636
R E 0.547
Y E 0.770
C E 0.844
V E 0.835
R E 0.617
P T 0.446
N T 0.626
S T 0.516
G E 0.420
V E 0.759
I E 0.802
D T 0.480
P T 0.893
G T 0.943
S T 0.704
I E 0.516
V E 0.958
Y E 0.981
V E 0.994
S E 0.994
V E 0.988
M E 0.960
L E 0.829
Q E 0.537
P C 0.501
F C 0.518
D C 0.478
Y C 0.471
D T 0.496
P T 0.559
N T 0.599
E T 0.578
K T 0.485
S T 0.446
K T 0.591
H T 0.393
K E 0.909
F E 0.973
M E 0.987
V E 0.992
Q E 0.981
T E 0.952
I E 0.872
F E 0.665
A C 0.499
P T 0.636
P T 0.724
N T 0.712
I T 0.535
S H 0.363
D H 0.474
M H 0.774
E H 0.838
A H 0.913
V H 0.945
W H 0.934
K H 0.907
E H 0.824
A H 0.598
K T 0.510
P T 0.606
D T 0.586
E T 0.428
L E 0.416
M E 0.691
D E 0.839
S E 0.866
K E 0.882
P E 0.890
R E 0.909
C E 0.963
V E 0.953
F E 0.893
E E 0.672
M C 0.976
END