PFRMAT SS
TARGET t85-2nd_1:55
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 7.8277
METHOD
MODEL 1
G C 0.95
P C 0.93
G C 0.83
R C 0.63
N C 0.50
F C 0.38
R C 0.39
G C 0.45
D C 0.51
H C 0.50
R C 0.52
K C 0.59
S C 0.66
G C 0.70
Q C 0.58
A C 0.48
F C 0.51
E C 0.56
K C 0.68
S C 0.80
G C 0.80
K C 0.67
K C 0.56
T C 0.63
P C 0.76
R C 0.73
K C 0.71
D C 0.75
L C 0.57
A H 0.50
K H 0.51
K C 0.53
G C 0.72
Q H 0.53
D H 0.65
F H 0.68
H H 0.67
F H 0.66
E H 0.65
E H 0.63
R H 0.49
C H 0.45
S H 0.53
A H 0.43
C C 0.46
H C 0.47
L C 0.41
N C 0.42
Y C 0.54
E C 0.72
G C 0.88
S C 0.93
P C 0.85
W C 0.64
K C 0.66
- C 0.79
- C 0.89
- C 0.84
- C 0.60
- C 0.61
- C 0.69
- C 0.60
- E 0.44
- E 0.48
- C 0.46
- C 0.52
- C 0.57
- C 0.74
- C 0.87
- C 0.75
- C 0.64
- C 0.67
- C 0.69
- C 0.63
- C 0.48
- C 0.46
- C 0.44
- H 0.52
- H 0.55
- C 0.43
- C 0.52
- C 0.67
- C 0.83
- C 0.86
- C 0.59
- E 0.48
- C 0.50
- C 0.54
- H 0.69
- H 0.83
- H 0.82
- H 0.88
- H 0.92
- H 0.92
- H 0.88
- H 0.69
- C 0.59
- C 0.84
- C 0.91
- C 0.82
- C 0.60
- C 0.58
- C 0.74
- C 0.77
- C 0.75
- C 0.57
- E 0.43
- E 0.66
- E 0.73
- E 0.65
- C 0.49
- C 0.74
- C 0.69
- C 0.65
- C 0.64
- C 0.62
- C 0.56
- C 0.61
- C 0.67
END