PFRMAT SS
TARGET T0056
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 t56.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 14.9747
METHOD
MODEL 1
M C 0.90
K C 0.77
V C 0.87
P C 0.95
P C 0.87
H C 0.63
S H 0.51
I H 0.85
E H 0.95
A H 0.98
E H 0.98
Q H 0.98
S H 0.97
V H 0.96
L H 0.93
G H 0.88
G H 0.85
L H 0.80
M H 0.62
L C 0.58
D C 0.74
N H 0.50
E H 0.86
R H 0.86
W H 0.96
D H 0.99
D H 0.99
V H 0.98
A H 0.98
E H 0.97
R H 0.93
V H 0.73
V C 0.48
A C 0.50
D C 0.50
D H 0.52
F C 0.52
Y C 0.51
T H 0.54
R H 0.65
P H 0.64
H H 0.90
R H 0.96
H H 0.98
I H 0.98
F H 0.99
T H 0.99
E H 0.98
M H 0.98
A H 0.98
R H 0.95
L H 0.90
Q H 0.72
E C 0.67
S C 0.81
G C 0.93
S C 0.95
P C 0.82
I C 0.66
D C 0.51
L H 0.61
I H 0.86
T H 0.82
L H 0.94
A H 0.97
E H 0.97
S H 0.95
L H 0.84
E C 0.57
R C 0.55
Q C 0.83
G C 0.90
Q C 0.66
L C 0.52
D C 0.52
S C 0.45
V C 0.54
G C 0.84
G C 0.73
F H 0.71
A H 0.85
Y H 0.87
L H 0.96
A H 0.97
E H 0.97
L H 0.94
S H 0.90
K H 0.72
N H 0.50
T C 0.60
P C 0.82
S C 0.50
A H 0.85
A H 0.93
N H 0.89
I H 0.97
S H 0.99
A H 0.99
Y H 0.99
A H 0.99
D H 0.98
I H 0.98
V H 0.98
R H 0.97
E H 0.97
R H 0.98
A H 0.98
V H 0.97
V H 0.97
R H 0.97
E H 0.96
M H 0.93
I H 0.87
S H 0.65
END