PFRMAT SS
TARGET T0074_1:98
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_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 9.76924
METHOD
MODEL 1
P C 0.91
W C 0.83
A C 0.63
V C 0.65
K C 0.76
P C 0.54
E H 0.68
D H 0.84
K H 0.89
A H 0.92
K H 0.89
Y H 0.93
D H 0.93
A H 0.90
I H 0.84
F H 0.74
D H 0.48
S C 0.52
L C 0.69
S C 0.86
P C 0.86
V C 0.87
N C 0.89
G C 0.87
F C 0.70
L C 0.68
S C 0.75
G H 0.65
D H 0.93
K H 0.97
V H 0.98
K H 0.98
P H 0.98
V H 0.96
L H 0.91
L H 0.82
N H 0.54
S C 0.82
K C 0.82
L C 0.88
P C 0.73
V H 0.82
D H 0.94
I H 0.92
L H 0.97
G H 0.98
R H 0.98
V H 0.97
W H 0.94
E H 0.87
L H 0.79
S H 0.57
D C 0.57
I C 0.63
D C 0.89
H C 0.91
D C 0.89
G C 0.83
M C 0.65
L C 0.59
D C 0.59
R H 0.75
D H 0.93
E H 0.97
F H 0.98
A H 0.98
V H 0.98
A H 0.97
M H 0.96
F H 0.94
L H 0.91
V H 0.91
Y H 0.88
C H 0.84
A H 0.71
L C 0.51
E C 0.78
K C 0.89
E C 0.90
P C 0.82
V C 0.79
P C 0.85
M C 0.68
S C 0.75
L C 0.78
P C 0.80
P C 0.68
A C 0.74
L C 0.72
V C 0.79
P C 0.88
P C 0.87
S C 0.65
K C 0.64
R C 0.73
K C 0.73
T C 0.78
W C 0.85
END