PFRMAT SS
TARGET T0046_1:119
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 t46.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 24.5734
METHOD
MODEL 1
I C 0.93
P C 0.94
S C 0.68
I E 0.81
T E 0.95
A E 0.95
Y E 0.88
S E 0.61
K C 0.81
N C 0.94
G C 0.90
L C 0.51
K E 0.82
I E 0.92
E E 0.97
F E 0.96
T E 0.95
F E 0.89
E E 0.77
R C 0.49
S C 0.84
N C 0.87
T C 0.91
N C 0.94
P C 0.90
S C 0.71
V E 0.56
T E 0.82
V E 0.92
I E 0.95
T E 0.96
I E 0.95
Q E 0.91
A E 0.80
S C 0.51
N C 0.62
S C 0.69
T C 0.74
E C 0.54
L H 0.48
D H 0.61
M H 0.73
T H 0.68
D H 0.66
F H 0.63
V H 0.58
F H 0.55
Q H 0.46
A E 0.36
A C 0.58
V C 0.89
P C 0.91
K C 0.81
T C 0.78
F C 0.58
Q E 0.73
L E 0.84
Q E 0.88
L E 0.80
L E 0.53
S C 0.76
P C 0.90
S C 0.90
S C 0.91
S C 0.81
V E 0.53
V E 0.70
P E 0.68
A E 0.47
F C 0.83
N C 0.91
T C 0.84
G C 0.77
T C 0.64
I E 0.55
T E 0.74
Q E 0.86
V E 0.91
I E 0.87
K E 0.80
V E 0.66
L C 0.62
N C 0.88
P C 0.93
Q C 0.81
K C 0.67
Q C 0.64
Q E 0.57
L E 0.79
R E 0.91
M E 0.94
R E 0.95
I E 0.94
K E 0.93
L E 0.91
T E 0.86
Y E 0.83
N E 0.76
H E 0.51
K C 0.78
G C 0.81
S C 0.78
A C 0.63
M C 0.51
Q C 0.50
D C 0.49
L C 0.50
A E 0.59
E E 0.70
V C 0.47
N C 0.83
N C 0.77
F C 0.80
P C 0.75
P H 0.53
Q H 0.62
S C 0.50
W C 0.75
Q C 0.89
END