PFRMAT SS 
TARGET T0046 
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 t46.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 8.65576 
METHOD 
MODEL 1 
I C 0.88 
P C 0.89 
S C 0.74 
I E 0.62 
T E 0.86 
A E 0.87 
Y E 0.78 
S E 0.53 
K C 0.80 
N C 0.93 
G C 0.89 
L E 0.57 
K E 0.91 
I E 0.95 
E E 0.97 
F E 0.96 
T E 0.93 
F E 0.87 
E E 0.76 
R E 0.47 
S C 0.82 
N C 0.85 
T C 0.88 
N C 0.92 
P C 0.89 
S C 0.67 
V E 0.72 
T E 0.90 
V E 0.96 
I E 0.97 
T E 0.96 
I E 0.94 
Q E 0.86 
A E 0.66 
S C 0.66 
N C 0.71 
S C 0.77 
T C 0.82 
E C 0.71 
L C 0.74 
D C 0.57 
M H 0.61 
T H 0.66 
D H 0.70 
F H 0.65 
V H 0.51 
F E 0.42 
Q E 0.60 
A E 0.69 
A E 0.46 
V C 0.83 
P C 0.90 
K C 0.76 
T C 0.73 
F C 0.61 
Q E 0.52 
L E 0.65 
Q E 0.73 
L E 0.64 
L C 0.55 
S C 0.73 
P C 0.86 
S C 0.88 
S C 0.89 
S C 0.75 
V E 0.63 
V E 0.77 
P E 0.71 
A C 0.48 
F C 0.84 
N C 0.92 
T C 0.86 
G C 0.71 
T C 0.62 
I C 0.45 
T E 0.47 
Q E 0.67 
V E 0.80 
I E 0.80 
K E 0.77 
V E 0.67 
L C 0.59 
N C 0.90 
P C 0.94 
Q C 0.80 
K C 0.71 
Q C 0.76 
Q C 0.70 
L E 0.57 
R E 0.85 
M E 0.92 
R E 0.94 
I E 0.94 
K E 0.93 
L E 0.89 
T E 0.82 
Y E 0.76 
N E 0.63 
H C 0.55 
K C 0.84 
G C 0.86 
S C 0.88 
A C 0.72 
M C 0.49 
Q C 0.45 
D C 0.41 
L C 0.48 
A C 0.51 
E E 0.48 
V C 0.54 
N C 0.85 
N C 0.79 
F C 0.86 
P C 0.90 
P C 0.68 
Q C 0.57 
S C 0.66 
W C 0.71 
Q C 0.74 
END 
