PFRMAT SS
TARGET T0076_8:139
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 t76.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 17.3711
METHOD
MODEL 1
- H 0.85
- H 0.95
- H 0.96
- H 0.98
- H 0.99
- H 0.99
- H 0.99
K H 0.99
Q H 0.98
A H 0.96
F H 0.89
S H 0.73
L H 0.60
F C 0.42
D C 0.58
R C 0.66
H C 0.87
G C 0.90
T C 0.93
G C 0.85
R C 0.60
I C 0.57
P C 0.62
K H 0.79
T H 0.96
S H 0.95
I H 0.98
G H 0.99
D H 0.99
L H 0.99
L H 0.98
R H 0.95
A H 0.90
C H 0.66
G C 0.76
Q C 0.82
N C 0.83
P C 0.89
T C 0.78
L H 0.84
A H 0.95
E H 0.93
I H 0.96
T H 0.97
E H 0.97
I H 0.94
- H 0.75
- C 0.66
- C 0.85
- C 0.94
- C 0.95
- C 0.87
- C 0.58
V C 0.46
D C 0.52
M H 0.59
E H 0.87
Q H 0.94
F H 0.94
L H 0.95
Q H 0.93
V H 0.90
L H 0.89
N H 0.86
R H 0.81
P H 0.84
N H 0.78
- H 0.71
- H 0.54
- C 0.71
- C 0.81
- C 0.80
G C 0.92
D C 0.73
P H 0.90
E H 0.97
E H 0.98
F H 0.99
V H 0.99
K H 0.98
G H 0.97
F H 0.91
Q H 0.70
V H 0.49
F C 0.50
D C 0.74
K C 0.68
D C 0.80
A C 0.90
T C 0.92
G C 0.77
M E 0.47
I E 0.47
G C 0.52
V H 0.84
G H 0.97
E H 0.97
L H 0.99
R H 0.99
Y H 0.99
V H 0.99
L H 0.98
T H 0.95
S H 0.84
L H 0.52
G C 0.72
E C 0.65
K C 0.72
L C 0.91
S C 0.88
N H 0.85
E H 0.97
E H 0.97
M H 0.98
D H 0.99
E H 0.99
L H 0.99
L H 0.97
K H 0.92
G H 0.84
V H 0.55
P C 0.79
V C 0.91
K C 0.93
D C 0.95
G C 0.90
M C 0.64
V C 0.53
N C 0.62
Y H 0.84
H H 0.97
D H 0.99
F H 0.99
V H 0.99
Q H 0.97
M H 0.95
I H 0.86
L H 0.55
A C 0.70
- C 0.89
END