PFRMAT SS 
TARGET T0074 
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 
