PFRMAT SS
TARGET T0079_1:129
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.remote_4.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 37.655
METHOD
MODEL 1
M C 0.87
T C 0.67
M C 0.62
S C 0.68
R C 0.73
R C 0.82
N C 0.88
T C 0.88
D C 0.75
A C 0.50
I H 0.59
T H 0.64
I H 0.90
H H 0.97
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 0.97
D H 0.93
N H 0.78
L H 0.65
E C 0.70
S C 0.86
P C 0.76
L C 0.65
S C 0.64
L H 0.91
E H 0.98
K H 0.98
V H 0.99
S H 0.99
E H 0.98
R H 0.95
S H 0.83
G H 0.66
Y C 0.52
S C 0.53
K H 0.94
W H 0.98
H H 0.95
L H 0.98
Q H 0.99
R H 1.00
M H 0.99
F H 0.98
K H 0.98
K H 0.97
E H 0.86
T C 0.66
G C 0.73
H C 0.49
S C 0.54
L H 0.86
G H 0.95
Q H 0.97
Y H 0.96
I H 0.95
R H 0.94
S H 0.94
R H 0.94
K H 0.89
M H 0.95
T H 0.98
E H 0.99
I H 0.99
A H 0.99
Q H 0.98
K H 0.97
L H 0.91
K H 0.71
E C 0.70
S C 0.90
N C 0.83
E C 0.63
P H 0.52
I H 0.84
L H 0.92
Y H 0.94
L H 0.94
A H 0.94
E H 0.89
R H 0.78
Y C 0.50
G C 0.71
F C 0.68
E C 0.83
S C 0.77
Q H 0.77
Q H 0.94
T H 0.97
L H 0.98
T H 0.99
R H 0.99
T H 0.97
F H 0.98
K H 0.97
N H 0.94
Y H 0.82
F C 0.66
D C 0.82
V C 0.83
P C 0.93
P C 0.56
H H 0.88
K H 0.91
Y H 0.90
R H 0.94
M H 0.94
T H 0.91
N H 0.81
M H 0.54
Q C 0.53
G C 0.53
E C 0.42
S H 0.42
R C 0.40
F C 0.41
L C 0.59
H C 0.85
P C 0.79
L C 0.78
N C 0.90
H C 0.81
Y C 0.74
N C 0.68
S C 0.71
END