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_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 45.1036
METHOD
MODEL 1
M C 0.85
I C 0.53
G H 0.86
Q H 0.96
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 0.97
E H 0.90
K H 0.59
G C 0.48
Y H 0.62
S H 0.55
L H 0.96
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 0.74
G H 0.52
V H 0.46
A H 0.55
K H 0.70
S H 0.69
Y H 0.61
L H 0.66
S H 0.69
S H 0.71
I H 0.70
E H 0.60
R C 0.61
N C 0.84
L C 0.77
Q C 0.73
T C 0.73
N C 0.85
P C 0.93
S C 0.60
I H 0.90
Q H 0.97
F H 0.94
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 0.93
L H 0.75
D H 0.48
V H 0.46
S C 0.57
V H 0.76
H H 0.80
T H 0.79
L H 0.65
L C 0.46
D C 0.76
E C 0.81
K C 0.84
H C 0.75
E C 0.61
T C 0.50
E C 0.45
Y H 0.45
D C 0.58
G C 0.74
Q C 0.68
L C 0.75
D C 0.86
S C 0.84
E C 0.76
W H 0.48
E H 0.53
K H 0.55
L H 0.56
V H 0.54
R H 0.52
D H 0.45
A C 0.48
M C 0.47
T C 0.50
S C 0.62
G C 0.69
V C 0.72
S C 0.73
K C 0.72
K C 0.81
Q C 0.73
F C 0.43
R E 0.61
E E 0.73
F E 0.69
L E 0.52
D C 0.52
Y C 0.59
Q C 0.61
K C 0.53
W C 0.44
R C 0.37
K C 0.36
S C 0.43
Q C 0.63
K C 0.76
E C 0.80
E C 0.83
END