PFRMAT SS
TARGET T0074_23:95
AUTHOR 1751-3146-3362
METHOD Using neural net fssp-12345-IDaa1-9-6-11-9-3-8-7-ehl-seeded3-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 t74.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 15.2482
METHOD
MODEL 1
- C 0.77
- C 0.71
- C 0.79
- C 0.83
- C 0.58
- H 0.93
- H 0.97
- H 0.98
- H 0.99
- H 1.00
- H 0.99
- H 0.99
- H 0.99
- H 0.98
- H 0.95
- H 0.84
- H 0.66
- H 0.55
- C 0.58
- C 0.65
- C 0.79
- C 0.93
N C 0.92
G C 0.84
F C 0.60
L C 0.52
S C 0.53
G H 0.81
D H 0.96
K H 0.96
V H 0.98
K H 0.98
P H 0.97
V H 0.94
L H 0.89
L H 0.78
N H 0.62
S C 0.65
K C 0.88
P C 0.94
- C 0.85
- H 0.84
- H 0.96
- H 0.95
L H 0.98
G H 0.99
R H 0.99
V H 0.99
W H 0.97
E H 0.93
L H 0.86
S H 0.63
D C 0.62
I C 0.68
D C 0.90
H C 0.93
D C 0.93
G C 0.82
M C 0.55
L C 0.50
D C 0.60
R H 0.75
D H 0.96
E H 0.99
F H 0.99
A H 0.99
V H 1.00
A H 0.99
M H 0.99
F H 0.99
L H 0.98
V H 0.97
Y H 0.97
C H 0.93
A H 0.88
L H 0.72
E C 0.55
K C 0.67
E C 0.80
P C 0.82
V H 0.52
P H 0.72
M H 0.73
S H 0.56
L C 0.83
P C 0.85
P H 0.48
A H 0.66
L H 0.63
V H 0.82
P H 0.90
P H 0.87
S H 0.84
K H 0.73
R H 0.48
- C 0.45
- C 0.68
- C 0.89
END