PFRMAT SS 
TARGET T0064 
AUTHOR 1751-3146-3362 
METHOD Using neural net fssp-12345-IDaa1-9-6-11-9-3-8-7-ehl-seeded4-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 t66_7.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 106.045 
METHOD 
MODEL 1 
M C 0.91 
I C 0.56 
G H 0.87 
Q H 0.96 
R H 0.93 
I H 0.98 
K H 0.99 
Q H 0.99 
Y H 0.99 
R H 0.98 
K H 0.96 
E H 0.89 
K C 0.54 
G C 0.66 
Y H 0.51 
S C 0.46 
L H 0.95 
S H 0.99 
E H 0.98 
L H 0.99 
A H 0.99 
E H 0.98 
K H 0.94 
A H 0.70 
G C 0.51 
V C 0.44 
A H 0.57 
K H 0.78 
S H 0.82 
Y H 0.74 
L H 0.80 
S H 0.86 
S H 0.88 
I H 0.86 
E H 0.75 
R C 0.53 
N C 0.80 
L C 0.75 
Q C 0.77 
T C 0.77 
N C 0.84 
P C 0.92 
S C 0.61 
I H 0.91 
Q H 0.97 
F H 0.93 
L H 0.99 
E H 0.99 
K H 0.99 
V H 0.99 
S H 0.99 
A H 0.97 
V H 0.92 
L H 0.69 
D C 0.53 
V C 0.46 
S C 0.61 
V H 0.80 
H H 0.85 
T H 0.86 
L H 0.73 
L C 0.49 
D C 0.78 
E C 0.80 
K C 0.83 
H C 0.61 
E C 0.48 
T C 0.44 
E C 0.41 
Y C 0.46 
D C 0.73 
G C 0.88 
Q C 0.81 
L C 0.83 
D C 0.91 
S C 0.61 
E H 0.53 
W H 0.55 
E H 0.55 
K C 0.46 
L C 0.41 
V E 0.39 
R E 0.42 
D E 0.41 
A C 0.44 
M C 0.57 
T C 0.56 
S C 0.62 
G C 0.75 
V C 0.84 
S C 0.84 
K C 0.49 
K H 0.83 
Q H 0.84 
F H 0.90 
R H 0.91 
E H 0.89 
F H 0.81 
L H 0.51 
D C 0.76 
Y C 0.54 
Q H 0.80 
K H 0.88 
W H 0.84 
R H 0.74 
K H 0.73 
S H 0.67 
Q H 0.67 
K H 0.69 
E H 0.57 
E C 0.47 
END 
