PFRMAT SS
TARGET T0059_1:75
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 t59.remote_4.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 16.3724
METHOD
MODEL 1
M C 0.88
S C 0.92
I C 0.81
G C 0.80
V C 0.92
P C 0.66
I H 0.72
K H 0.80
V H 0.70
L H 0.78
H H 0.79
E H 0.71
A C 0.49
E C 0.76
G C 0.92
H C 0.75
I E 0.78
V E 0.96
T E 0.99
C E 0.99
E E 0.98
T E 0.91
N C 0.60
T C 0.89
G C 0.90
E C 0.63
V E 0.63
Y E 0.72
R E 0.74
G E 0.64
K E 0.68
L E 0.71
I E 0.53
E C 0.52
A C 0.52
E C 0.58
D C 0.50
N C 0.50
M C 0.42
N E 0.48
C E 0.64
Q E 0.70
M E 0.55
S E 0.35
N C 0.35
I H 0.45
T H 0.47
V H 0.37
T C 0.43
Y C 0.69
R C 0.86
D C 0.89
G C 0.88
R C 0.66
V C 0.50
A C 0.50
Q C 0.49
L C 0.60
E C 0.73
Q E 0.53
V E 0.79
Y E 0.89
I E 0.89
R E 0.82
G E 0.56
S C 0.72
K E 0.70
I E 0.93
R E 0.98
F E 0.99
L E 0.98
I E 0.92
L E 0.64
P C 0.79
D C 0.85
END