PFRMAT SS
TARGET T0063_9:138
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 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/recode3.20comp
METHOD Total sequence weight for alignment was 5.02697
METHOD
MODEL 1
- C 0.88
- C 0.78
- C 0.76
- C 0.79
- C 0.82
- C 0.70
- C 0.66
- C 0.65
T C 0.71
K C 0.71
Y C 0.69
V C 0.52
E C 0.47
A H 0.52
G H 0.65
E H 0.72
L H 0.63
K H 0.44
E C 0.69
G C 0.93
S C 0.81
Y E 0.87
V E 0.98
V E 0.98
I E 0.96
D E 0.75
G C 0.80
E C 0.93
P C 0.86
C E 0.60
R E 0.93
V E 0.98
V E 0.99
E E 0.98
I E 0.93
E E 0.77
K E 0.49
S C 0.69
K C 0.77
T C 0.85
G C 0.84
K C 0.73
H C 0.65
G C 0.66
S C 0.59
A E 0.53
K E 0.72
A E 0.79
R E 0.85
I E 0.87
V E 0.88
A E 0.89
V E 0.85
G E 0.80
V E 0.74
F E 0.56
D C 0.60
G C 0.79
G C 0.76
K C 0.55
R E 0.50
T E 0.57
L E 0.57
S C 0.47
L C 0.74
P C 0.86
V C 0.84
D C 0.86
A C 0.83
Q C 0.87
V C 0.70
E C 0.49
V C 0.54
P C 0.64
I H 0.43
I H 0.45
E C 0.46
K C 0.60
F C 0.68
T C 0.58
A E 0.48
Q E 0.76
I E 0.87
L E 0.84
S E 0.74
V E 0.48
S C 0.76
G C 0.91
D C 0.93
V C 0.63
I E 0.68
Q E 0.85
L E 0.89
M E 0.77
D E 0.49
M C 0.59
R C 0.69
D C 0.61
Y C 0.56
K C 0.53
T C 0.66
I C 0.59
E C 0.50
V C 0.68
P C 0.89
M C 0.62
K H 0.66
Y H 0.76
V H 0.75
E H 0.90
E H 0.95
E H 0.93
A H 0.91
K H 0.89
G H 0.82
R H 0.66
L C 0.47
A C 0.68
P C 0.78
G C 0.93
A C 0.89
E E 0.53
V E 0.82
E E 0.91
V E 0.91
W E 0.85
Q E 0.76
I E 0.52
L C 0.64
D C 0.76
R C 0.58
Y C 0.50
K E 0.44
I E 0.62
I E 0.61
R E 0.53
V C 0.58
K C 0.74
END