PFRMAT SS 
TARGET T0061 
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 t61.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 2.46379 
METHOD 
MODEL 1 
A H 0.53 
D H 0.62 
A H 0.63 
Q H 0.59 
K H 0.52 
A C 0.60 
A C 0.58 
D C 0.73 
N C 0.71 
K C 0.58 
K C 0.69 
P C 0.58 
V C 0.52 
N C 0.65 
S C 0.71 
W C 0.80 
T C 0.88 
C C 0.59 
E H 0.67 
D H 0.69 
F H 0.60 
L H 0.47 
A C 0.47 
V C 0.52 
D C 0.66 
E C 0.64 
S C 0.72 
F C 0.77 
Q C 0.79 
P C 0.60 
T C 0.48 
A H 0.41 
V H 0.43 
G C 0.46 
F H 0.54 
A H 0.88 
E H 0.91 
A H 0.89 
L H 0.75 
N C 0.53 
N C 0.58 
K C 0.56 
D C 0.73 
K C 0.84 
P C 0.79 
E C 0.62 
D C 0.56 
A E 0.44 
V E 0.61 
L E 0.65 
D E 0.71 
V E 0.65 
Q E 0.56 
G E 0.63 
I E 0.66 
A E 0.63 
T E 0.56 
V C 0.65 
T C 0.82 
P H 0.76 
A H 0.92 
I H 0.90 
V H 0.93 
Q H 0.93 
A H 0.86 
C H 0.60 
T H 0.54 
Q H 0.89 
D H 0.95 
K H 0.95 
Q H 0.96 
A H 0.97 
N H 0.94 
F H 0.93 
K H 0.93 
D H 0.90 
K H 0.78 
V H 0.56 
K C 0.74 
G C 0.64 
E C 0.56 
W C 0.45 
D H 0.45 
K H 0.44 
I C 0.56 
K C 0.70 
K C 0.74 
D C 0.82 
M C 0.78 
END 
