PFRMAT SS
TARGET T0072_4:95
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 t72.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 17.0315
METHOD
MODEL 1
- C 0.86
- C 0.50
- E 0.80
W E 0.84
Y E 0.73
D C 0.54
P C 0.78
D C 0.87
F C 0.63
Q E 0.79
A E 0.92
R E 0.95
L E 0.91
T E 0.71
R C 0.71
S C 0.90
N C 0.90
S C 0.72
K C 0.54
C E 0.56
Q E 0.53
G C 0.58
Q E 0.70
L E 0.94
E E 0.98
V E 0.98
Y E 0.96
L E 0.79
K C 0.72
D C 0.83
G C 0.66
W C 0.52
H C 0.48
M E 0.55
V E 0.53
C C 0.58
S C 0.78
Q C 0.87
S C 0.82
W C 0.78
G C 0.76
R C 0.76
S C 0.83
S C 0.65
K C 0.62
Q C 0.62
W C 0.62
E C 0.69
D C 0.64
P C 0.69
S C 0.71
Q C 0.62
A C 0.55
S C 0.45
K E 0.46
V E 0.53
C E 0.47
Q E 0.42
R E 0.39
L C 0.49
N C 0.81
C C 0.76
G C 0.82
V C 0.68
P C 0.48
L C 0.44
S C 0.43
L C 0.57
F C 0.86
- C 0.87
- C 0.88
- C 0.91
- C 0.93
- C 0.92
- C 0.78
- C 0.54
- E 0.58
- E 0.56
- C 0.51
- E 0.46
I E 0.46
I C 0.50
C C 0.57
Y C 0.72
G C 0.90
Q C 0.78
L H 0.51
G C 0.48
S C 0.47
F H 0.45
S C 0.41
N C 0.55
C C 0.77
S C 0.82
H C 0.83
- C 0.87
- C 0.88
- C 0.82
- C 0.73
- C 0.68
- C 0.65
- C 0.66
- C 0.73
- C 0.84
- C 0.89
- C 0.86
- C 0.55
- H 0.73
- H 0.73
- H 0.60
END