PFRMAT SS 
TARGET T0077 
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 t77.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 12.4359 
METHOD 
MODEL 1 
M C 0.78 
A C 0.76 
P C 0.63 
V H 0.57 
K H 0.68 
S H 0.72 
Q H 0.91 
E H 0.96 
S H 0.94 
I H 0.94 
N H 0.96 
Q H 0.97 
K H 0.96 
L H 0.97 
A H 0.95 
L H 0.93 
V H 0.88 
I H 0.72 
K C 0.51 
S C 0.81 
G C 0.86 
K C 0.56 
Y E 0.72 
T E 0.76 
L E 0.57 
G C 0.67 
Y H 0.59 
K H 0.94 
S H 0.98 
T H 0.98 
V H 0.99 
K H 0.99 
S H 0.98 
L H 0.96 
R H 0.88 
Q H 0.57 
G C 0.84 
K C 0.85 
S C 0.57 
K E 0.84 
L E 0.98 
I E 0.99 
I E 0.99 
I E 0.98 
A E 0.85 
A C 0.65 
N C 0.88 
T C 0.89 
P C 0.75 
V H 0.60 
L H 0.57 
R H 0.63 
K H 0.74 
S H 0.73 
E H 0.60 
L H 0.68 
E H 0.61 
Y H 0.57 
Y H 0.54 
A H 0.46 
M H 0.44 
L C 0.57 
S C 0.84 
K C 0.82 
T C 0.81 
K C 0.57 
V E 0.87 
Y E 0.95 
Y E 0.95 
F E 0.89 
Q E 0.68 
G C 0.74 
G C 0.82 
N H 0.60 
N H 0.70 
E H 0.66 
L H 0.70 
G H 0.71 
T H 0.72 
A H 0.58 
V C 0.54 
G C 0.78 
K C 0.68 
L C 0.60 
F C 0.54 
R E 0.46 
V E 0.66 
G E 0.82 
V E 0.90 
V E 0.92 
S E 0.90 
I E 0.80 
L E 0.53 
E C 0.73 
A C 0.85 
G C 0.90 
D C 0.75 
S C 0.51 
D C 0.46 
I C 0.35 
L E 0.45 
T E 0.51 
T E 0.48 
L C 0.62 
A C 0.80 
END 
