PFRMAT SS
TARGET T0077_1:104
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 t77.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 12.4359
METHOD
MODEL 1
M C 0.78
A C 0.76
P C 0.63
V H 0.57
K H 0.68
S H 0.72
Q H 0.91
E H 0.96
S H 0.94
I H 0.94
N H 0.96
Q H 0.97
K H 0.96
L H 0.97
A H 0.95
L H 0.93
V H 0.88
I H 0.72
K C 0.51
S C 0.81
G C 0.86
K C 0.56
Y E 0.72
T E 0.76
L E 0.57
G C 0.67
Y H 0.59
K H 0.94
S H 0.98
T H 0.98
V H 0.99
K H 0.99
S H 0.98
L H 0.96
R H 0.88
Q H 0.57
G C 0.84
K C 0.85
S C 0.57
K E 0.84
L E 0.98
I E 0.99
I E 0.99
I E 0.98
A E 0.85
A C 0.65
N C 0.88
T C 0.89
P C 0.75
V H 0.60
L H 0.57
R H 0.63
K H 0.74
S H 0.73
E H 0.60
L H 0.68
E H 0.61
Y H 0.57
Y H 0.54
A H 0.46
M H 0.44
L C 0.57
S C 0.84
K C 0.82
T C 0.81
K C 0.57
V E 0.87
Y E 0.95
Y E 0.95
F E 0.89
Q E 0.68
G C 0.74
G C 0.82
N H 0.60
N H 0.70
E H 0.66
L H 0.70
G H 0.71
T H 0.72
A H 0.58
V C 0.54
G C 0.78
K C 0.68
L C 0.60
F C 0.54
R E 0.46
V E 0.66
G E 0.82
V E 0.90
V E 0.92
S E 0.90
I E 0.80
L E 0.53
E C 0.73
A C 0.85
G C 0.90
D C 0.75
S C 0.51
D C 0.46
I C 0.35
L E 0.45
T E 0.51
T E 0.48
L C 0.62
- C 0.80
END