PFRMAT SS
TARGET T0046
AUTHOR 1751-3146-3362
METHOD Using neural net fssp-12345-IDaa1-9-6-11-9-3-8-7-ehl-seeded3-trained.net
METHOD This is a 4-layer network, with 
METHOD	window	units
METHOD	    9	    6
METHOD	   11	    9
METHOD	    3	    8
METHOD	    7	    3 (1 EHL )
METHOD The input amino acid frequencies were determined from
METHOD alignment t46.t98_6.a2m.gz
METHOD with weighted counts, using HenikoffWeight(1 bits/column, 0.5)
METHOD The weighting was determined by the posterior distribution
METHOD after regularizing with recode3.20comp.
METHOD Counts were regularized to probabilities using
METHOD /projects/compbio/lib/recode3.20comp
METHOD Total sequence weight for alignment was 7.59085
METHOD
MODEL 1
I C 0.89
P C 0.91
S C 0.79
I E 0.53
T E 0.80
A E 0.83
Y E 0.72
S C 0.48
K C 0.82
N C 0.93
G C 0.90
L E 0.56
K E 0.90
I E 0.94
E E 0.96
F E 0.94
T E 0.90
F E 0.83
E E 0.70
R C 0.52
S C 0.82
N C 0.84
T C 0.88
N C 0.94
P C 0.92
S C 0.72
V E 0.70
T E 0.90
V E 0.96
I E 0.97
T E 0.97
I E 0.93
Q E 0.85
A E 0.64
S C 0.69
N C 0.73
S C 0.80
T C 0.84
E C 0.77
L C 0.84
D C 0.71
M C 0.44
T H 0.47
D H 0.54
F H 0.46
V E 0.46
F E 0.63
Q E 0.79
A E 0.85
A E 0.69
V C 0.69
P C 0.88
K C 0.79
T C 0.71
F C 0.53
Q E 0.71
L E 0.82
Q E 0.88
L E 0.82
L E 0.60
S C 0.63
P C 0.79
S C 0.85
S C 0.92
S C 0.84
V C 0.50
V E 0.54
P E 0.49
A C 0.57
F C 0.83
N C 0.89
T C 0.85
G C 0.62
T C 0.60
I C 0.50
T C 0.43
Q E 0.53
V E 0.73
I E 0.77
K E 0.78
V E 0.70
L C 0.54
N C 0.88
P C 0.95
Q C 0.83
K C 0.70
Q C 0.73
Q C 0.59
L E 0.65
R E 0.87
M E 0.92
R E 0.94
I E 0.94
K E 0.93
L E 0.91
T E 0.87
Y E 0.80
N E 0.67
H C 0.56
K C 0.84
G C 0.87
S C 0.89
A C 0.73
M C 0.47
Q H 0.45
D H 0.43
L C 0.48
A C 0.52
E C 0.41
V C 0.54
N C 0.84
N C 0.79
F C 0.87
P C 0.93
P C 0.74
Q C 0.56
S C 0.65
W C 0.74
Q C 0.82
END