PFRMAT SS
TARGET T0055
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 t55.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 22.8034
METHOD
MODEL 1
M C 0.88
D C 0.68
Y E 0.67
E E 0.85
I E 0.88
L E 0.85
F E 0.65
S C 0.64
D C 0.71
E C 0.64
T C 0.58
M C 0.55
N C 0.46
Y H 0.83
A H 0.95
D H 0.97
A H 0.98
G H 0.97
T H 0.96
Y H 0.92
C H 0.85
Q H 0.80
S H 0.57
R C 0.69
G C 0.80
M C 0.83
A C 0.62
L E 0.58
V E 0.61
S E 0.57
S E 0.46
A C 0.46
M C 0.58
R C 0.70
D H 0.54
S H 0.92
T H 0.97
M H 0.98
V H 0.99
K H 0.99
A H 0.98
I H 0.98
L H 0.96
A H 0.90
F H 0.81
T H 0.62
E C 0.53
V C 0.65
K C 0.85
G C 0.91
H C 0.91
D C 0.71
Y E 0.71
W E 0.86
V E 0.84
G E 0.66
A C 0.51
D C 0.71
N C 0.70
L C 0.74
Q C 0.76
D C 0.78
G C 0.73
A C 0.67
Y C 0.62
N E 0.55
F E 0.81
L E 0.89
W E 0.86
N E 0.70
D C 0.72
G C 0.93
V C 0.93
S C 0.78
L C 0.66
P C 0.62
T C 0.54
D C 0.47
S E 0.46
D E 0.46
L E 0.45
W C 0.50
S C 0.70
P C 0.86
N C 0.93
E C 0.94
P C 0.93
S C 0.94
N C 0.89
P C 0.82
Q C 0.89
S C 0.95
W C 0.88
Q C 0.73
L C 0.76
C C 0.52
V E 0.74
Q E 0.88
I E 0.89
W E 0.76
S C 0.55
K C 0.78
Y C 0.91
N C 0.93
L C 0.75
L C 0.72
D C 0.82
D C 0.67
V C 0.57
G C 0.71
C C 0.73
G C 0.74
G C 0.66
A C 0.70
R C 0.64
R E 0.46
V E 0.67
I E 0.69
C E 0.55
E C 0.43
K C 0.45
E C 0.51
L C 0.68
D C 0.86
D C 0.88
END