PFRMAT SS
TARGET T0063_9:138
AUTHOR 1751-3146-3362
METHOD Using neural net fssp-12345-IDaa13-9-6-11-9-3-8-7-ehl-seeded2-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 t63.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/recode2.20comp
METHOD Total sequence weight for alignment was 5.02697
METHOD
MODEL 1
- C 0.87
- C 0.81
- C 0.80
- C 0.82
- C 0.85
- C 0.76
- C 0.64
- C 0.59
T C 0.68
K C 0.73
Y C 0.64
V H 0.53
E H 0.54
A H 0.69
G H 0.79
E H 0.79
L H 0.68
K H 0.45
E C 0.72
G C 0.90
S C 0.75
Y E 0.86
V E 0.97
V E 0.98
I E 0.96
D E 0.78
G C 0.74
E C 0.89
P C 0.84
C C 0.52
R E 0.88
V E 0.97
V E 0.98
E E 0.97
I E 0.92
E E 0.77
K E 0.50
S C 0.67
K C 0.72
T C 0.81
G C 0.87
K C 0.80
H C 0.71
G C 0.71
S C 0.63
A E 0.59
K E 0.80
A E 0.86
R E 0.89
I E 0.88
V E 0.87
A E 0.84
V E 0.78
G E 0.75
V E 0.70
F E 0.56
D C 0.55
G C 0.77
G C 0.78
K C 0.57
R E 0.52
T E 0.58
L E 0.55
S C 0.52
L C 0.74
P C 0.83
V C 0.82
D C 0.82
A C 0.83
Q C 0.86
V C 0.69
E C 0.50
V C 0.55
P C 0.63
I C 0.49
I C 0.50
E C 0.53
K C 0.63
F C 0.65
T C 0.54
A E 0.57
Q E 0.81
I E 0.90
L E 0.89
S E 0.80
V E 0.52
S C 0.77
G C 0.89
D C 0.89
V C 0.58
I E 0.74
Q E 0.87
L E 0.88
M E 0.75
D C 0.54
M C 0.64
R C 0.69
D C 0.63
Y C 0.59
K C 0.54
T C 0.65
I C 0.58
E C 0.52
V C 0.69
P C 0.88
M C 0.66
K H 0.68
Y H 0.77
V H 0.73
E H 0.89
E H 0.96
E H 0.94
A H 0.92
K H 0.91
G H 0.87
R H 0.72
L H 0.48
A C 0.67
P C 0.77
G C 0.92
A C 0.89
E C 0.56
V E 0.74
E E 0.88
V E 0.89
W E 0.84
Q E 0.75
I E 0.55
L C 0.62
D C 0.78
R C 0.63
Y C 0.52
K C 0.42
I E 0.54
I E 0.57
R E 0.53
V C 0.54
K C 0.70
END