PFRMAT SS 
TARGET T0060 
AUTHOR 1751-3146-3362 
METHOD Using neural net fssp-12345-IDaa1-9-6-11-9-3-8-7-ehl-seeded4-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 t60.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 4.33861 
METHOD 
MODEL 1 
P C 0.86 
F E 0.74 
L E 0.94 
E E 0.97 
L E 0.94 
D E 0.80 
T C 0.51 
N C 0.63 
L C 0.61 
P C 0.55 
A C 0.44 
N C 0.58 
R C 0.73 
V C 0.77 
P C 0.62 
A H 0.69 
G H 0.52 
L H 0.79 
E H 0.92 
K H 0.97 
R H 0.97 
L H 0.96 
C H 0.97 
A H 0.98 
A H 0.97 
A H 0.98 
A H 0.98 
S H 0.97 
I H 0.95 
L H 0.79 
G C 0.66 
K C 0.85 
P C 0.82 
A C 0.71 
D C 0.58 
R E 0.77 
V E 0.94 
N E 0.97 
V E 0.98 
T E 0.96 
V E 0.86 
R E 0.50 
P C 0.76 
G C 0.82 
L C 0.49 
A E 0.77 
M E 0.88 
A E 0.86 
L E 0.67 
S C 0.72 
G C 0.91 
S C 0.91 
T C 0.88 
E C 0.93 
P C 0.80 
C E 0.51 
A E 0.77 
Q E 0.85 
L E 0.81 
S E 0.77 
I E 0.64 
S C 0.58 
S C 0.56 
I C 0.55 
G C 0.67 
V C 0.55 
V C 0.58 
G C 0.72 
T C 0.60 
A H 0.65 
E H 0.57 
D C 0.58 
N C 0.68 
R H 0.64 
S H 0.73 
H H 0.77 
S H 0.95 
A H 0.99 
H H 0.99 
F H 0.99 
F H 0.99 
E H 0.99 
F H 0.96 
L H 0.95 
T H 0.93 
K H 0.93 
E H 0.77 
L C 0.49 
A C 0.62 
L C 0.58 
G C 0.81 
Q C 0.85 
D C 0.77 
R E 0.59 
I E 0.87 
L E 0.94 
I E 0.94 
R E 0.90 
F E 0.74 
F C 0.57 
P C 0.65 
L C 0.64 
E C 0.67 
S C 0.46 
W C 0.41 
Q C 0.37 
I C 0.38 
G C 0.52 
K C 0.57 
I C 0.61 
G C 0.73 
T C 0.59 
V E 0.50 
M E 0.65 
T E 0.66 
F E 0.50 
L C 0.64 
END 
