PFRMAT SS
TARGET T0048
AUTHOR 1751-3146-3362
METHOD Using neural net fssp-12345-IDaa1-9-6-11-9-3-8-7-ehl-seeded3-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 t48.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 5.47553
METHOD
MODEL 1
M C 0.82
T C 0.76
A C 0.61
L C 0.55
T C 0.51
Q C 0.50
A C 0.65
H C 0.64
C C 0.59
E H 0.50
A H 0.44
C H 0.43
R H 0.40
A C 0.48
D C 0.49
A H 0.50
P H 0.52
H H 0.46
V C 0.73
S C 0.83
D H 0.70
E H 0.94
E H 0.92
L H 0.95
P H 0.97
V H 0.97
L H 0.95
L H 0.85
R C 0.50
Q H 0.50
I C 0.66
P C 0.80
D C 0.75
W C 0.79
N C 0.67
I C 0.47
E E 0.44
V E 0.40
R C 0.51
D C 0.80
G C 0.90
I C 0.75
M C 0.55
Q C 0.55
L C 0.47
E C 0.47
K C 0.40
V E 0.45
Y E 0.46
L E 0.41
F C 0.36
K C 0.43
N C 0.57
F H 0.85
K H 0.95
H H 0.97
A H 0.97
L H 0.97
A H 0.96
F H 0.95
T H 0.97
N H 0.98
A H 0.98
V H 0.99
G H 0.99
E H 0.99
I H 0.99
S H 0.99
E H 0.98
A H 0.97
E H 0.89
G H 0.55
H C 0.74
H C 0.87
P C 0.68
G H 0.51
L H 0.55
L H 0.50
T C 0.41
E C 0.51
W C 0.76
G C 0.69
K E 0.77
V E 0.91
T E 0.95
V E 0.94
T E 0.92
W E 0.82
W E 0.60
S C 0.56
H C 0.74
S C 0.63
I C 0.70
K C 0.89
G C 0.81
L C 0.75
H C 0.70
R C 0.54
N H 0.48
D H 0.75
F H 0.89
I H 0.91
M H 0.93
A H 0.95
A H 0.95
R H 0.89
T H 0.96
D H 0.98
E H 0.98
V H 0.97
A H 0.96
K H 0.92
T H 0.87
A H 0.71
E C 0.50
G C 0.71
R C 0.81
K C 0.81
END