PFRMAT SS
TARGET T0060_1:117
AUTHOR 1751-3146-3362
METHOD Using neural net fssp-12345-IDaa1-9-6-11-9-3-8-7-ehl-seeded4-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 t60.t98_2.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 3.938
METHOD
MODEL 1
P C 0.86
F E 0.75
L E 0.94
E E 0.97
L E 0.94
D E 0.77
T C 0.56
N C 0.67
L C 0.66
P C 0.57
A C 0.42
N C 0.54
R C 0.73
V C 0.77
P C 0.60
A H 0.72
G H 0.55
L H 0.79
E H 0.92
K H 0.97
R H 0.97
L H 0.95
C H 0.97
A H 0.98
A H 0.97
A H 0.98
A H 0.98
S H 0.97
I H 0.94
L H 0.78
G C 0.67
K C 0.86
P C 0.83
A C 0.71
D C 0.57
R E 0.77
V E 0.94
N E 0.97
V E 0.98
T E 0.96
V E 0.85
R E 0.49
P C 0.76
G C 0.82
L C 0.49
A E 0.77
M E 0.87
A E 0.86
L E 0.67
S C 0.72
G C 0.91
S C 0.91
T C 0.88
E C 0.93
P C 0.80
C E 0.49
A E 0.74
Q E 0.83
L E 0.79
S E 0.76
I E 0.63
S C 0.54
S C 0.51
I C 0.49
G C 0.60
V C 0.52
V C 0.59
G C 0.74
T C 0.72
A H 0.56
E H 0.50
D C 0.69
N C 0.83
R C 0.62
S C 0.58
H C 0.52
S H 0.84
A H 0.95
H H 0.97
F H 0.97
F H 0.97
E H 0.96
F H 0.89
L H 0.90
T H 0.87
K H 0.86
E H 0.68
L C 0.52
A C 0.59
L C 0.57
G C 0.80
Q C 0.85
D C 0.77
R E 0.59
I E 0.87
L E 0.94
I E 0.94
R E 0.90
F E 0.74
F C 0.57
P C 0.65
L C 0.64
E C 0.67
S C 0.46
W C 0.42
Q C 0.39
I C 0.40
G C 0.55
K C 0.59
I C 0.61
G C 0.73
T C 0.60
V E 0.51
M E 0.66
T E 0.67
F E 0.51
L C 0.63
END