PFRMAT SS
TARGET t85-2nd_1:72
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 t85-2nd.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 32.3439
METHOD
MODEL 1
N C 0.88
Y C 0.81
E C 0.75
G C 0.86
S C 0.92
P C 0.80
W C 0.61
K C 0.52
G E 0.47
A E 0.51
K E 0.46
A C 0.51
P C 0.55
Y C 0.72
T C 0.92
P C 0.85
F C 0.82
T C 0.92
P C 0.79
E C 0.59
V C 0.67
D C 0.78
A C 0.60
K C 0.45
Y E 0.49
T E 0.45
F C 0.56
K C 0.73
F H 0.56
D H 0.88
E H 0.94
M H 0.96
V H 0.99
K H 0.99
E H 0.99
V H 0.99
K H 0.98
A H 0.96
M H 0.95
H H 0.90
E H 0.77
H H 0.59
Y C 0.62
K C 0.66
L C 0.68
E C 0.82
G C 0.66
V C 0.51
F C 0.56
E C 0.69
G C 0.86
E C 0.94
P C 0.91
K C 0.69
F C 0.59
K C 0.47
F E 0.53
H E 0.53
D E 0.61
E E 0.72
F E 0.78
Q E 0.84
A E 0.80
S E 0.75
A E 0.55
K C 0.80
P C 0.87
A C 0.63
K H 0.52
K C 0.67
G C 0.86
K C 0.88
END