PFRMAT SS
TARGET T0046
AUTHOR 1751-3146-3362
METHOD Using neural net fssp-12345-IDaa1-9-6-11-9-3-8-7-ehl-seeded6-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 8.65576
METHOD
MODEL 1
I C 0.88
P C 0.89
S C 0.74
I E 0.62
T E 0.86
A E 0.87
Y E 0.78
S E 0.53
K C 0.80
N C 0.93
G C 0.89
L E 0.57
K E 0.91
I E 0.95
E E 0.97
F E 0.96
T E 0.93
F E 0.87
E E 0.76
R E 0.47
S C 0.82
N C 0.85
T C 0.88
N C 0.92
P C 0.89
S C 0.67
V E 0.72
T E 0.90
V E 0.96
I E 0.97
T E 0.96
I E 0.94
Q E 0.86
A E 0.66
S C 0.66
N C 0.71
S C 0.77
T C 0.82
E C 0.71
L C 0.74
D C 0.57
M H 0.61
T H 0.66
D H 0.70
F H 0.65
V H 0.51
F E 0.42
Q E 0.60
A E 0.69
A E 0.46
V C 0.83
P C 0.90
K C 0.76
T C 0.73
F C 0.61
Q E 0.52
L E 0.65
Q E 0.73
L E 0.64
L C 0.55
S C 0.73
P C 0.86
S C 0.88
S C 0.89
S C 0.75
V E 0.63
V E 0.77
P E 0.71
A C 0.48
F C 0.84
N C 0.92
T C 0.86
G C 0.71
T C 0.62
I C 0.45
T E 0.47
Q E 0.67
V E 0.80
I E 0.80
K E 0.77
V E 0.67
L C 0.59
N C 0.90
P C 0.94
Q C 0.80
K C 0.71
Q C 0.76
Q C 0.70
L E 0.57
R E 0.85
M E 0.92
R E 0.94
I E 0.94
K E 0.93
L E 0.89
T E 0.82
Y E 0.76
N E 0.63
H C 0.55
K C 0.84
G C 0.86
S C 0.88
A C 0.72
M C 0.49
Q C 0.45
D C 0.41
L C 0.48
A C 0.51
E E 0.48
V C 0.54
N C 0.85
N C 0.79
F C 0.86
P C 0.90
P C 0.68
Q C 0.57
S C 0.66
W C 0.71
Q C 0.74
END