PFRMAT SS
TARGET T0061_1:89
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 t61.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 4.48673
METHOD
MODEL 1
A C 0.76
D C 0.69
A C 0.60
Q C 0.69
K C 0.65
A C 0.48
A E 0.40
D C 0.43
N C 0.52
K C 0.73
K C 0.86
P C 0.74
V C 0.70
N C 0.79
S C 0.60
W C 0.57
T C 0.76
C H 0.47
E H 0.85
D H 0.90
F H 0.86
L H 0.72
A H 0.45
V C 0.54
D C 0.85
E C 0.92
S C 0.84
F C 0.85
Q C 0.93
P C 0.85
T E 0.51
A E 0.78
V E 0.81
G E 0.73
F E 0.59
A C 0.48
E E 0.40
A E 0.40
L H 0.38
N H 0.48
N H 0.43
K C 0.63
D C 0.79
K C 0.94
P C 0.66
E H 0.74
D H 0.75
A H 0.67
V H 0.67
L H 0.57
D H 0.47
V C 0.59
Q C 0.77
G C 0.77
I C 0.68
A C 0.56
T C 0.46
V C 0.44
T C 0.48
P C 0.53
A C 0.46
I C 0.37
V H 0.42
Q H 0.42
A C 0.60
C C 0.80
T C 0.78
Q C 0.64
D H 0.50
K H 0.74
Q H 0.79
A H 0.77
N H 0.66
F H 0.53
K C 0.49
D C 0.59
K C 0.70
V C 0.64
K C 0.67
G C 0.72
E C 0.52
W H 0.73
D H 0.70
K H 0.61
I H 0.52
K C 0.56
K C 0.70
D C 0.70
M C 0.70
END