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.t98_6.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 3.31541
METHOD
MODEL 1
S C 0.89
E C 0.73
D C 0.74
N C 0.73
F C 0.59
A E 0.41
R E 0.65
F E 0.73
V E 0.69
C E 0.55
K C 0.67
N C 0.91
N C 0.88
G E 0.59
V E 0.90
L E 0.93
F E 0.88
E E 0.67
N C 0.71
Q C 0.70
L E 0.64
L E 0.87
Q E 0.93
I E 0.88
G E 0.68
L E 0.59
K C 0.44
S H 0.60
E H 0.71
F H 0.69
R H 0.67
Q C 0.49
N C 0.72
L C 0.71
G C 0.74
R C 0.46
M E 0.74
F E 0.84
I E 0.88
F E 0.83
Y E 0.56
G C 0.85
N C 0.87
K C 0.79
T C 0.71
S C 0.60
T C 0.55
Q C 0.42
F C 0.40
L C 0.58
N C 0.62
F C 0.73
T C 0.86
P C 0.70
T C 0.47
L E 0.49
I E 0.50
C C 0.59
A C 0.76
D C 0.65
D H 0.53
L H 0.63
Q H 0.56
T H 0.47
N C 0.46
L C 0.42
N E 0.43
L E 0.51
Q E 0.53
T E 0.45
K C 0.59
P C 0.64
V C 0.66
D C 0.76
P C 0.78
T C 0.64
V C 0.54
D C 0.64
G C 0.78
G C 0.78
A C 0.51
Q E 0.35
V H 0.43
Q H 0.45
Q E 0.46
V E 0.48
I E 0.39
N E 0.36
I H 0.55
E H 0.67
C H 0.66
I H 0.87
S H 0.92
D H 0.93
F H 0.79
T C 0.51
E C 0.74
A C 0.90
P C 0.84
V E 0.68
L E 0.89
N E 0.96
I E 0.96
Q E 0.96
F E 0.93
R E 0.85
Y E 0.61
G C 0.74
G C 0.79
T C 0.55
F E 0.55
Q E 0.58
N E 0.65
V E 0.67
S E 0.66
V E 0.75
K E 0.79
L E 0.70
P E 0.61
I E 0.73
T E 0.76
L E 0.58
N C 0.61
K C 0.62
F C 0.73
END