PFRMAT SS
TARGET T0079
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 t79.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 18.8234
METHOD
MODEL 1
M C 0.90
T C 0.86
M C 0.72
S C 0.72
R C 0.73
R C 0.75
N C 0.80
T C 0.89
D C 0.77
A H 0.49
I H 0.76
T H 0.72
I H 0.95
H H 0.99
S H 0.99
I H 0.99
L H 0.99
D H 0.99
W H 0.98
I H 0.97
E H 0.95
D H 0.87
N H 0.51
L H 0.55
E C 0.64
S C 0.77
P C 0.74
L C 0.65
S C 0.65
L H 0.87
E H 0.97
K H 0.98
V H 0.99
S H 0.99
E H 0.98
R H 0.96
S H 0.85
G H 0.68
Y C 0.50
S C 0.57
K H 0.93
W H 0.98
H H 0.95
L H 0.98
Q H 0.99
R H 1.00
M H 0.98
F H 0.98
K H 0.97
K H 0.97
E H 0.86
T C 0.63
G C 0.70
H C 0.47
S C 0.51
L H 0.87
G H 0.94
Q H 0.96
Y H 0.95
I H 0.94
R H 0.93
S H 0.93
R H 0.95
K H 0.91
M H 0.97
T H 0.99
E H 0.99
I H 0.99
A H 0.99
Q H 0.99
K H 0.98
L H 0.92
K H 0.72
E C 0.70
S C 0.90
N C 0.84
E C 0.69
P H 0.46
I H 0.81
L H 0.89
Y H 0.90
L H 0.90
A H 0.91
E H 0.84
R H 0.73
Y C 0.49
G C 0.69
F C 0.67
E C 0.84
S C 0.78
Q H 0.75
Q H 0.93
T H 0.97
L H 0.98
T H 0.98
R H 0.99
T H 0.97
F H 0.98
K H 0.97
N H 0.94
Y H 0.81
F C 0.67
D C 0.83
V C 0.83
P C 0.93
P C 0.56
H H 0.87
K H 0.90
Y H 0.89
R H 0.94
M H 0.95
T H 0.92
N H 0.82
M H 0.54
Q C 0.60
G C 0.60
E C 0.49
S C 0.42
R C 0.44
F C 0.43
L C 0.59
H C 0.84
P C 0.78
L C 0.77
N C 0.89
H C 0.82
Y C 0.79
N C 0.75
S C 0.74
END