PFRMAT SS
TARGET T0076_1:140
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 t76.t98_6_subtree.retrain_1.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 1.45381
METHOD
MODEL 1
S C 0.76
T C 0.85
D C 0.87
D C 0.86
S C 0.90
P C 0.77
Y H 0.51
K H 0.58
Q H 0.60
A H 0.56
F H 0.49
S C 0.35
L E 0.34
F C 0.38
D C 0.51
R C 0.61
H C 0.78
G C 0.87
T C 0.91
G C 0.82
R C 0.57
I C 0.63
P C 0.76
K C 0.60
T C 0.67
S C 0.71
I H 0.46
G H 0.71
D H 0.76
L H 0.85
L H 0.87
R H 0.82
A H 0.73
C C 0.67
G C 0.88
Q C 0.89
N C 0.91
P C 0.91
T C 0.70
L C 0.45
A E 0.45
E E 0.53
I E 0.52
T E 0.50
E E 0.50
I H 0.35
E C 0.44
S C 0.63
T C 0.75
L C 0.80
P C 0.86
A C 0.63
E C 0.46
V C 0.49
D C 0.68
M H 0.79
E H 0.92
Q H 0.94
F H 0.95
L H 0.92
Q H 0.84
V H 0.71
L H 0.44
N C 0.80
R C 0.82
P C 0.91
N C 0.93
G C 0.89
F C 0.71
D C 0.69
M C 0.84
P C 0.83
G C 0.81
D C 0.91
P H 0.57
E H 0.81
E H 0.80
F H 0.71
V H 0.53
K C 0.60
G C 0.70
F C 0.65
Q E 0.50
V E 0.61
F E 0.53
D C 0.58
K C 0.68
D C 0.67
A C 0.59
T C 0.65
G C 0.61
M C 0.48
I C 0.47
G C 0.50
V C 0.51
G C 0.51
E C 0.39
L E 0.40
R H 0.45
Y H 0.43
V H 0.46
L H 0.57
T H 0.55
S C 0.46
L H 0.50
G H 0.63
E H 0.71
K C 0.49
L C 0.82
S C 0.87
N H 0.72
E H 0.93
E H 0.88
M H 0.94
D H 0.97
E H 0.97
L H 0.94
L H 0.78
K C 0.54
G C 0.71
V C 0.84
P C 0.75
V C 0.59
K C 0.58
D C 0.71
G C 0.86
M C 0.64
V C 0.55
N C 0.57
Y H 0.62
H H 0.83
D H 0.90
F H 0.92
V H 0.91
Q H 0.86
M H 0.76
I H 0.60
L H 0.44
A C 0.53
N C 0.83
END