PFRMAT SS
TARGET T0050
AUTHOR 1751-3146-3362
METHOD Using neural net fssp-12345-IDaa1-9-6-11-9-3-8-7-ehl-seeded3-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 t50.t98_5.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 10.7956
METHOD
MODEL 1
M C 0.93
E C 0.93
K C 0.88
K C 0.50
T E 0.91
I E 0.98
V E 0.99
L E 0.99
G E 0.98
V E 0.92
I E 0.62
G C 0.77
S C 0.85
D C 0.78
C C 0.50
H H 0.70
A H 0.87
V H 0.84
G H 0.91
N H 0.94
K H 0.96
I H 0.95
L H 0.97
D H 0.96
H H 0.94
A H 0.93
F H 0.90
T H 0.74
N C 0.54
A C 0.90
G C 0.95
F C 0.70
N E 0.83
V E 0.95
V E 0.96
N E 0.92
I E 0.73
G C 0.70
V C 0.74
L C 0.67
S C 0.70
P C 0.85
Q H 0.88
E H 0.97
V H 0.99
F H 0.99
I H 0.99
K H 0.99
A H 0.99
A H 0.98
I H 0.96
E H 0.87
T C 0.51
K C 0.83
A C 0.80
D C 0.50
A E 0.71
I E 0.74
L E 0.64
L E 0.48
S H 0.50
S H 0.76
L H 0.76
Y H 0.62
G C 0.51
Q C 0.78
G C 0.57
E H 0.68
I H 0.80
D H 0.76
C H 0.94
K H 0.98
G H 0.98
L H 0.99
R H 0.99
Q H 0.99
K H 0.99
C H 0.98
D H 0.97
E H 0.93
A H 0.64
G C 0.79
L C 0.88
E C 0.91
G C 0.83
I E 0.60
L E 0.90
L E 0.95
Y E 0.95
V E 0.81
G C 0.71
G C 0.81
N C 0.65
I C 0.60
V C 0.67
V C 0.73
G C 0.61
K C 0.53
Q C 0.61
H C 0.68
W C 0.58
P H 0.58
D H 0.71
V H 0.88
E H 0.93
K H 0.95
R H 0.95
F H 0.90
K H 0.79
D H 0.61
M C 0.70
G C 0.81
Y C 0.48
D E 0.70
R E 0.80
V E 0.80
Y E 0.59
A C 0.80
P C 0.92
G C 0.93
T C 0.87
P C 0.85
P C 0.62
E H 0.64
V H 0.78
G H 0.83
I H 0.94
A H 0.97
D H 0.94
L H 0.96
K H 0.96
K H 0.93
D H 0.82
L H 0.54
N C 0.67
I C 0.64
E C 0.75
END