PFRMAT SS
TARGET t85-2nd_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 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 4.61075
METHOD
MODEL 1
G C 0.95
P C 0.93
G C 0.83
R C 0.69
N C 0.58
F C 0.57
R C 0.60
G C 0.69
D C 0.75
H C 0.63
R C 0.64
K C 0.73
S C 0.81
G C 0.77
Q C 0.52
A E 0.65
F E 0.70
E E 0.63
K C 0.54
S C 0.86
G C 0.90
K C 0.78
K C 0.76
T C 0.91
P C 0.89
R C 0.50
K H 0.74
D H 0.76
L H 0.88
A H 0.90
K H 0.83
K H 0.54
G C 0.76
Q C 0.79
D C 0.64
F C 0.62
H C 0.58
F H 0.56
E H 0.67
E H 0.66
R H 0.54
C C 0.51
S C 0.56
A C 0.73
C C 0.90
H C 0.86
L C 0.76
N C 0.70
Y C 0.56
E E 0.53
G C 0.54
S C 0.83
P C 0.77
W C 0.64
K C 0.69
G C 0.86
A C 0.83
K C 0.80
A C 0.91
P C 0.81
Y C 0.70
T C 0.80
P C 0.74
F C 0.73
T C 0.87
P C 0.72
E C 0.54
V C 0.56
D C 0.57
A C 0.46
K E 0.56
Y E 0.62
T E 0.62
F E 0.57
K E 0.48
F C 0.40
D H 0.79
E H 0.92
M H 0.93
V H 0.96
K H 0.97
E H 0.96
V H 0.97
K H 0.95
A H 0.89
M H 0.87
H H 0.81
E H 0.68
H H 0.46
Y C 0.53
K C 0.49
L E 0.53
E E 0.61
G E 0.67
V E 0.71
F E 0.63
E E 0.49
G C 0.69
E C 0.87
P C 0.81
K C 0.60
F E 0.47
K E 0.54
F C 0.52
H C 0.72
D C 0.55
E C 0.47
F C 0.43
Q H 0.43
A C 0.49
S C 0.59
A C 0.65
K C 0.80
P C 0.62
A C 0.52
K C 0.57
K C 0.70
G C 0.89
K C 0.89
END