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.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 6.12539
METHOD
MODEL 1
M C 0.86
E C 0.74
C C 0.79
A C 0.87
D C 0.75
V C 0.77
P C 0.90
L C 0.82
L C 0.84
T C 0.88
P C 0.83
S C 0.75
S H 0.54
K H 0.82
E H 0.91
M H 0.86
M H 0.93
S H 0.98
Q H 0.99
A H 0.97
L H 0.98
K H 0.97
A H 0.95
T H 0.85
F H 0.77
S H 0.64
G H 0.59
F H 0.51
T H 0.73
K H 0.84
E H 0.83
Q H 0.71
Q H 0.53
R C 0.41
L E 0.42
G C 0.55
I C 0.76
P C 0.80
K C 0.78
D C 0.87
P C 0.77
R C 0.57
Q C 0.50
W C 0.46
T H 0.42
E H 0.72
T H 0.84
H H 0.87
V H 0.94
R H 0.96
D H 0.97
W H 0.96
V H 0.97
M H 0.96
W H 0.90
A H 0.84
V H 0.59
N C 0.57
E C 0.62
F C 0.74
S C 0.61
L E 0.51
K E 0.52
G C 0.46
V C 0.59
D C 0.62
F C 0.59
Q C 0.55
K C 0.39
F H 0.38
C C 0.38
M C 0.56
S C 0.76
G H 0.52
A H 0.61
A H 0.62
L H 0.55
C H 0.42
A C 0.41
L C 0.66
G C 0.82
K H 0.80
E H 0.92
C H 0.91
F H 0.93
L H 0.92
E H 0.85
L H 0.58
A C 0.83
P C 0.75
D H 0.60
F H 0.61
V H 0.77
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 0.55
D C 0.72
V C 0.80
K C 0.81
END