PFRMAT SS 
TARGET T0079 
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 t79.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 18.8234 
METHOD 
MODEL 1 
M C 0.90 
T C 0.86 
M C 0.72 
S C 0.72 
R C 0.73 
R C 0.75 
N C 0.80 
T C 0.89 
D C 0.77 
A H 0.49 
I H 0.76 
T H 0.72 
I H 0.95 
H H 0.99 
S H 0.99 
I H 0.99 
L H 0.99 
D H 0.99 
W H 0.98 
I H 0.97 
E H 0.95 
D H 0.87 
N H 0.51 
L H 0.55 
E C 0.64 
S C 0.77 
P C 0.74 
L C 0.65 
S C 0.65 
L H 0.87 
E H 0.97 
K H 0.98 
V H 0.99 
S H 0.99 
E H 0.98 
R H 0.96 
S H 0.85 
G H 0.68 
Y C 0.50 
S C 0.57 
K H 0.93 
W H 0.98 
H H 0.95 
L H 0.98 
Q H 0.99 
R H 1.00 
M H 0.98 
F H 0.98 
K H 0.97 
K H 0.97 
E H 0.86 
T C 0.63 
G C 0.70 
H C 0.47 
S C 0.51 
L H 0.87 
G H 0.94 
Q H 0.96 
Y H 0.95 
I H 0.94 
R H 0.93 
S H 0.93 
R H 0.95 
K H 0.91 
M H 0.97 
T H 0.99 
E H 0.99 
I H 0.99 
A H 0.99 
Q H 0.99 
K H 0.98 
L H 0.92 
K H 0.72 
E C 0.70 
S C 0.90 
N C 0.84 
E C 0.69 
P H 0.46 
I H 0.81 
L H 0.89 
Y H 0.90 
L H 0.90 
A H 0.91 
E H 0.84 
R H 0.73 
Y C 0.49 
G C 0.69 
F C 0.67 
E C 0.84 
S C 0.78 
Q H 0.75 
Q H 0.93 
T H 0.97 
L H 0.98 
T H 0.98 
R H 0.99 
T H 0.97 
F H 0.98 
K H 0.97 
N H 0.94 
Y H 0.81 
F C 0.67 
D C 0.83 
V C 0.83 
P C 0.93 
P C 0.56 
H H 0.87 
K H 0.90 
Y H 0.89 
R H 0.94 
M H 0.95 
T H 0.92 
N H 0.82 
M H 0.54 
Q C 0.60 
G C 0.60 
E C 0.49 
S C 0.42 
R C 0.44 
F C 0.43 
L C 0.59 
H C 0.84 
P C 0.78 
L C 0.77 
N C 0.89 
H C 0.82 
Y C 0.79 
N C 0.75 
S C 0.74 
END 
