PFRMAT SS 
TARGET T0075 
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 t75.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 6.12539 
METHOD 
MODEL 1 
M C 0.86 
E C 0.74 
C C 0.79 
A C 0.87 
D C 0.75 
V C 0.77 
P C 0.90 
L C 0.82 
L C 0.84 
T C 0.88 
P C 0.83 
S C 0.75 
S H 0.54 
K H 0.82 
E H 0.91 
M H 0.86 
M H 0.93 
S H 0.98 
Q H 0.99 
A H 0.97 
L H 0.98 
K H 0.97 
A H 0.95 
T H 0.85 
F H 0.77 
S H 0.64 
G H 0.59 
F H 0.51 
T H 0.73 
K H 0.84 
E H 0.83 
Q H 0.71 
Q H 0.53 
R C 0.41 
L E 0.42 
G C 0.55 
I C 0.76 
P C 0.80 
K C 0.78 
D C 0.87 
P C 0.77 
R C 0.57 
Q C 0.50 
W C 0.46 
T H 0.42 
E H 0.72 
T H 0.84 
H H 0.87 
V H 0.94 
R H 0.96 
D H 0.97 
W H 0.96 
V H 0.97 
M H 0.96 
W H 0.90 
A H 0.84 
V H 0.59 
N C 0.57 
E C 0.62 
F C 0.74 
S C 0.61 
L E 0.51 
K E 0.52 
G C 0.46 
V C 0.59 
D C 0.62 
F C 0.59 
Q C 0.55 
K C 0.39 
F H 0.38 
C C 0.38 
M C 0.56 
S C 0.76 
G H 0.52 
A H 0.61 
A H 0.62 
L H 0.55 
C H 0.42 
A C 0.41 
L C 0.66 
G C 0.82 
K H 0.80 
E H 0.92 
C H 0.91 
F H 0.93 
L H 0.92 
E H 0.85 
L H 0.58 
A C 0.83 
P C 0.75 
D H 0.60 
F H 0.61 
V H 0.77 
G H 0.96 
D H 0.99 
I H 0.97 
L H 0.99 
W H 0.99 
E H 1.00 
H H 0.99 
L H 0.99 
E H 0.99 
I H 0.99 
L H 0.97 
Q H 0.94 
K H 0.84 
E H 0.55 
D C 0.72 
V C 0.80 
K C 0.81 
END 
