PFRMAT SS
TARGET T0075_1:110
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 t75.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 8.91723
METHOD
MODEL 1
M C 0.87
E C 0.86
C C 0.92
A C 0.88
D C 0.71
V C 0.76
P C 0.81
L C 0.60
L C 0.61
T C 0.71
P C 0.69
S C 0.73
S H 0.59
K H 0.82
E H 0.84
M H 0.71
M H 0.74
S H 0.85
Q H 0.87
A H 0.77
L H 0.64
K C 0.48
A C 0.72
T C 0.79
F C 0.70
S C 0.57
G C 0.56
F C 0.55
T H 0.67
K H 0.81
E H 0.80
Q H 0.68
Q H 0.50
R C 0.40
L E 0.45
G C 0.53
I C 0.76
P C 0.80
K C 0.79
D C 0.88
P C 0.75
R C 0.53
Q C 0.48
W C 0.48
T H 0.48
E H 0.79
T H 0.90
H H 0.91
V H 0.95
R H 0.97
D H 0.98
W H 0.97
V H 0.98
M H 0.97
W H 0.92
A H 0.87
V H 0.63
N C 0.54
E C 0.61
F C 0.78
S C 0.66
L E 0.50
K E 0.52
G C 0.47
V C 0.59
D C 0.62
F C 0.62
Q C 0.58
K C 0.44
F C 0.42
C C 0.46
M C 0.58
S C 0.75
G H 0.65
A H 0.73
A H 0.74
L H 0.67
C H 0.52
A H 0.42
L C 0.65
G C 0.81
K H 0.81
E H 0.92
C H 0.92
F H 0.94
L H 0.92
E H 0.85
L H 0.59
A C 0.83
P C 0.75
D H 0.59
F H 0.60
V H 0.78
G H 0.96
D H 0.99
I H 0.97
L H 0.99
W H 0.99
E H 1.00
H H 0.99
L H 0.99
E H 0.99
I H 0.99
L H 0.97
Q H 0.94
K H 0.84
E H 0.53
D C 0.74
V C 0.79
K C 0.79
END