PFRMAT SS
TARGET T0072_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 t72.t98_3.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 12.6745
METHOD
MODEL 1
R C 0.83
L C 0.59
S E 0.52
W C 0.51
Y C 0.66
D C 0.77
P C 0.82
D C 0.87
F C 0.63
Q E 0.76
A E 0.91
R E 0.94
L E 0.89
T E 0.65
R C 0.74
S C 0.91
N C 0.91
S C 0.75
K C 0.53
C E 0.60
Q E 0.58
G C 0.58
Q E 0.65
L E 0.93
E E 0.98
V E 0.98
Y E 0.96
L E 0.82
K C 0.68
D C 0.82
G C 0.68
W C 0.54
H C 0.51
M E 0.50
V E 0.48
C C 0.60
S C 0.78
Q C 0.88
S C 0.80
W C 0.74
G C 0.73
R C 0.70
S C 0.72
S C 0.58
K C 0.48
Q C 0.51
W C 0.59
E C 0.68
D C 0.79
P C 0.88
S C 0.79
Q C 0.67
A C 0.56
S E 0.45
K E 0.59
V E 0.64
C E 0.58
Q E 0.51
R E 0.45
L C 0.49
N C 0.82
C C 0.78
G C 0.82
V C 0.66
P C 0.43
L C 0.38
S C 0.41
L C 0.53
G C 0.74
P C 0.77
F C 0.81
L C 0.72
V C 0.70
T C 0.77
Y C 0.84
T C 0.69
P C 0.49
Q C 0.49
S C 0.56
S C 0.44
I E 0.49
I E 0.48
C C 0.53
Y C 0.72
G C 0.91
Q C 0.79
L C 0.47
G C 0.53
S C 0.51
F C 0.43
S C 0.42
N C 0.56
C C 0.77
S C 0.73
H C 0.78
S C 0.89
R C 0.87
N C 0.87
D C 0.91
M C 0.87
C C 0.85
H C 0.74
S C 0.53
L E 0.68
G E 0.84
L E 0.91
T E 0.89
C E 0.72
L C 0.63
E C 0.78
END