PFRMAT SS
TARGET T0064_1:111
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 t64.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 103.987
METHOD
MODEL 1
M C 0.88
I C 0.52
G H 0.88
Q H 0.97
R H 0.95
I H 0.98
K H 0.99
Q H 0.99
Y H 0.99
R H 0.98
K H 0.96
E H 0.88
K C 0.52
G C 0.65
Y H 0.51
S H 0.46
L H 0.95
S H 0.99
E H 0.99
L H 0.99
A H 0.99
E H 0.98
K H 0.94
A H 0.73
G H 0.48
V H 0.45
A H 0.54
K H 0.77
S H 0.84
Y H 0.78
L H 0.85
S H 0.89
S H 0.89
I H 0.86
E H 0.75
R C 0.57
N C 0.84
L C 0.79
Q C 0.80
T C 0.80
N C 0.84
P C 0.91
S C 0.61
I H 0.91
Q H 0.98
F H 0.96
L H 0.99
E H 1.00
K H 0.99
V H 0.99
S H 0.99
A H 0.98
V H 0.94
L H 0.74
D H 0.48
V H 0.49
S C 0.60
V H 0.77
H H 0.80
T H 0.78
L H 0.61
L C 0.46
D C 0.75
E C 0.82
K C 0.83
H C 0.80
E C 0.80
T C 0.73
E C 0.67
Y C 0.71
D C 0.78
G C 0.72
Q C 0.65
L C 0.67
D C 0.76
S C 0.81
E C 0.82
W C 0.75
E C 0.70
K C 0.58
L E 0.48
V E 0.58
R E 0.55
D C 0.47
A C 0.70
M C 0.69
T C 0.57
S C 0.60
G C 0.68
V C 0.75
S C 0.78
K C 0.76
K C 0.82
Q C 0.69
F E 0.46
R E 0.65
E E 0.75
F E 0.71
L E 0.54
D C 0.52
Y C 0.63
Q C 0.74
K C 0.64
W C 0.47
R E 0.52
K E 0.50
S C 0.51
Q C 0.64
K C 0.70
E C 0.85
E C 0.91
END