PFRMAT SS
TARGET T0076_7:140
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_subtree.retrain.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 3.44316
METHOD
MODEL 1
- C 0.70
- H 0.51
- H 0.69
- H 0.92
- H 0.97
- H 0.96
Y H 0.98
K H 0.98
Q H 0.97
A H 0.93
F H 0.85
S H 0.61
L H 0.42
F C 0.42
D C 0.68
R C 0.70
H C 0.83
G C 0.90
T C 0.90
G C 0.72
R E 0.54
I E 0.64
P E 0.60
K E 0.39
T H 0.47
S H 0.56
I H 0.88
G H 0.95
D H 0.96
L H 0.96
L H 0.95
R H 0.90
A H 0.85
C H 0.57
G C 0.71
Q C 0.78
N C 0.92
P C 0.92
T C 0.77
L H 0.51
A H 0.63
E H 0.60
I H 0.66
T H 0.70
E H 0.59
I H 0.47
- C 0.59
- C 0.85
- C 0.88
- C 0.79
- C 0.87
- C 0.83
- C 0.58
V C 0.47
D C 0.50
M H 0.45
E H 0.66
Q H 0.67
F H 0.54
L C 0.47
Q C 0.61
V H 0.51
L H 0.67
N H 0.71
R H 0.69
P H 0.57
N C 0.58
G C 0.72
F C 0.80
D C 0.81
M C 0.79
P C 0.73
G C 0.69
D C 0.66
P H 0.88
E H 0.95
E H 0.95
F H 0.95
V H 0.92
K H 0.75
G H 0.51
F C 0.52
Q C 0.50
V E 0.49
F C 0.52
D C 0.72
K C 0.64
D C 0.71
A C 0.87
T C 0.91
G C 0.83
M C 0.50
I E 0.53
G E 0.42
V H 0.66
G H 0.90
E H 0.94
L H 0.98
R H 0.99
Y H 1.00
V H 0.99
L H 0.99
T H 0.98
S H 0.94
L H 0.86
G H 0.84
E H 0.87
K H 0.73
L C 0.72
S C 0.68
N H 0.90
E H 0.97
E H 0.97
M H 0.98
D H 0.99
E H 0.99
L H 0.97
L H 0.90
K H 0.57
G C 0.81
V C 0.83
P C 0.77
V C 0.84
K C 0.88
D C 0.90
G C 0.84
M C 0.57
V C 0.41
N C 0.43
Y H 0.87
H H 0.97
D H 0.99
F H 0.99
V H 0.98
Q H 0.97
M H 0.94
I H 0.84
L H 0.64
A C 0.52
N C 0.75
END