PFRMAT SS 
TARGET T0059 
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 t59.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 7.37613 
METHOD 
MODEL 1 
M C 0.86 
S C 0.89 
I C 0.72 
G C 0.74 
V C 0.90 
P C 0.61 
I H 0.81 
K H 0.89 
V H 0.82 
L H 0.87 
H H 0.89 
E H 0.85 
A H 0.62 
E C 0.72 
G C 0.92 
H C 0.80 
I E 0.69 
V E 0.94 
T E 0.99 
C E 0.99 
E E 0.99 
T E 0.94 
N E 0.58 
T C 0.83 
G C 0.90 
E C 0.64 
V E 0.61 
Y E 0.69 
R E 0.68 
G E 0.56 
K E 0.61 
L E 0.61 
I C 0.44 
E C 0.57 
A C 0.46 
E H 0.44 
D H 0.50 
N H 0.39 
M H 0.36 
N E 0.44 
C E 0.60 
Q E 0.66 
M E 0.49 
S H 0.37 
N H 0.37 
I H 0.51 
T H 0.52 
V H 0.42 
T C 0.44 
Y C 0.69 
R C 0.86 
D C 0.89 
G C 0.88 
R C 0.67 
V C 0.51 
A C 0.52 
Q C 0.50 
L C 0.62 
E C 0.75 
Q E 0.51 
V E 0.79 
Y E 0.90 
I E 0.89 
R E 0.83 
G E 0.56 
S C 0.71 
K E 0.71 
I E 0.93 
R E 0.98 
F E 0.99 
L E 0.98 
I E 0.92 
L E 0.61 
P C 0.80 
D C 0.85 
END 
