PFRMAT SS
TARGET t71-first_1:125
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 t71-first.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 19.1619
METHOD
MODEL 1
S C 0.87
E C 0.58
D H 0.50
N C 0.51
F C 0.51
A C 0.49
R H 0.45
F C 0.41
V C 0.48
C C 0.53
K C 0.68
N C 0.91
N C 0.87
G E 0.57
V E 0.88
L E 0.91
F E 0.82
E E 0.53
N C 0.71
Q C 0.59
L E 0.58
L E 0.78
Q E 0.86
I E 0.73
G C 0.58
L C 0.53
K H 0.44
S H 0.73
E H 0.77
F H 0.81
R H 0.87
Q H 0.81
N H 0.59
L C 0.56
G C 0.76
R C 0.59
M E 0.63
F E 0.83
I E 0.89
F E 0.87
Y E 0.65
G C 0.80
N C 0.84
K C 0.76
T C 0.72
S C 0.59
T C 0.55
Q C 0.47
F C 0.44
L C 0.63
N C 0.72
F C 0.79
T C 0.87
P C 0.68
T C 0.44
L E 0.55
I E 0.49
C C 0.76
A C 0.91
D C 0.68
D H 0.69
L H 0.77
Q H 0.82
T H 0.85
N H 0.76
L H 0.77
N H 0.67
L H 0.57
Q H 0.46
T C 0.51
K C 0.73
P C 0.71
V C 0.74
D C 0.83
P C 0.77
T C 0.60
V C 0.55
D C 0.69
G C 0.83
G C 0.82
A C 0.51
Q H 0.49
V H 0.60
Q H 0.63
Q H 0.53
V H 0.45
I H 0.45
N H 0.43
I H 0.48
E H 0.45
C C 0.50
I H 0.69
S H 0.81
D H 0.87
F H 0.73
T H 0.49
E C 0.66
A C 0.89
P C 0.83
V E 0.66
L E 0.89
N E 0.96
I E 0.96
Q E 0.96
F E 0.92
R E 0.84
Y E 0.61
G C 0.74
G C 0.79
T C 0.62
F C 0.56
Q C 0.62
N C 0.59
V C 0.60
S C 0.60
V E 0.60
K E 0.70
L E 0.61
P C 0.51
I E 0.58
T E 0.65
L E 0.48
N C 0.76
K C 0.79
F C 0.84
END