PFRMAT SS
TARGET t85-2nd_1:72
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 t85-2nd.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 3.91283
METHOD
MODEL 1
N C 0.82
Y C 0.71
E C 0.55
G C 0.65
S C 0.84
P C 0.74
W C 0.66
K C 0.67
G C 0.82
A C 0.84
K C 0.67
A C 0.68
P C 0.54
Y E 0.58
T E 0.55
P E 0.50
F C 0.65
T C 0.90
P C 0.88
E C 0.82
V C 0.70
D C 0.63
A E 0.49
K E 0.72
Y E 0.76
T E 0.74
F E 0.64
K E 0.48
F C 0.56
D H 0.52
E H 0.81
M H 0.84
V H 0.91
K H 0.94
E H 0.91
V H 0.92
K H 0.90
A H 0.83
M H 0.80
H H 0.78
E H 0.72
H H 0.59
Y C 0.56
K C 0.64
L C 0.68
E C 0.81
G C 0.61
V E 0.62
F E 0.64
E E 0.54
G C 0.70
E C 0.92
P C 0.90
K C 0.78
F C 0.65
K C 0.57
F C 0.52
H C 0.55
D C 0.52
E C 0.45
F H 0.64
Q H 0.74
A H 0.70
S H 0.63
A H 0.68
K H 0.68
P H 0.73
A H 0.70
K H 0.56
K C 0.60
G C 0.84
K C 0.86
END