PFRMAT SS
TARGET T0063_14:138
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.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 9.01085
METHOD
MODEL 1
- C 0.88
- C 0.75
- C 0.73
- C 0.76
- C 0.79
- C 0.64
- C 0.60
- C 0.61
- C 0.71
- C 0.76
- C 0.70
- H 0.62
- H 0.54
A H 0.64
G H 0.76
E H 0.82
L H 0.75
K H 0.53
E C 0.71
G C 0.93
S C 0.72
Y E 0.89
V E 0.97
V E 0.97
I E 0.93
D E 0.62
G C 0.85
E C 0.93
P C 0.82
C E 0.74
R E 0.96
V E 0.99
V E 0.99
E E 0.99
I E 0.96
E E 0.87
K E 0.61
S C 0.64
K C 0.78
T C 0.86
G C 0.83
K C 0.71
H C 0.64
G C 0.61
S C 0.49
A E 0.65
K E 0.80
A E 0.82
R E 0.83
I E 0.81
V E 0.78
A E 0.76
V E 0.66
G E 0.63
V E 0.58
F C 0.48
D C 0.68
G C 0.84
G C 0.72
K E 0.58
R E 0.76
T E 0.81
L E 0.77
S E 0.66
L C 0.53
P C 0.74
V C 0.81
D C 0.87
A C 0.82
Q C 0.79
V C 0.70
E C 0.60
V C 0.59
P C 0.61
I H 0.45
I H 0.51
E H 0.48
K C 0.45
F C 0.60
T C 0.62
A E 0.48
Q E 0.73
I E 0.84
L E 0.80
S E 0.66
V C 0.57
S C 0.84
G C 0.94
D C 0.93
V C 0.52
I E 0.85
Q E 0.94
L E 0.94
M E 0.78
D C 0.60
M C 0.65
R C 0.65
D C 0.60
Y C 0.57
K C 0.48
T C 0.46
I E 0.46
E E 0.51
V C 0.65
P C 0.85
M H 0.60
K H 0.83
Y H 0.80
V H 0.81
E H 0.92
E H 0.97
E H 0.96
A H 0.96
K H 0.95
G H 0.92
R H 0.83
L H 0.63
A C 0.58
P C 0.77
G C 0.94
A C 0.89
E E 0.63
V E 0.91
E E 0.97
V E 0.98
W E 0.97
Q E 0.93
I E 0.70
L C 0.71
D C 0.85
R C 0.64
Y E 0.59
K E 0.77
I E 0.85
I E 0.79
R E 0.58
V C 0.74
K C 0.89
END