PFRMAT SS 
TARGET T0046 
AUTHOR 4349-4475-1470 
METHOD The method used is based on Neural Networks. 
METHOD The training of the network has been performed with an extended database 
METHOD of non-homologous proteins (pdb-select oct 1997). 
METHOD Evolutionary information has been included as input. 
METHOD The final results for these prediction 
METHOD have been averaged over 20 different predictors. 
MODEL 1 
I C 0.91 
P C 0.82 
S E 0.25 
I E 0.66 
T E 0.77 
A E 0.59 
Y E 0.36 
S C 0.07 
K C 0.62 
N C 0.89 
G C 0.84 
L C 0.32 
K E 0.69 
I E 0.83 
E E 0.89 
F E 0.90 
T E 0.87 
F E 0.82 
E E 0.68 
R C 0.04 
S C 0.60 
N C 0.87 
T C 0.88 
N C 0.89 
P C 0.86 
S C 0.55 
V E 0.46 
T E 0.77 
V E 0.88 
I E 0.90 
T E 0.88 
I E 0.81 
Q E 0.59 
A C 0.27 
S C 0.72 
N C 0.79 
S C 0.86 
T C 0.83 
E C 0.38 
L C 0.64 
D C 0.37 
M C 0.17 
T C 0.14 
D H 0.25 
F H 0.45 
V H 0.44 
F H 0.37 
Q C 0.05 
A C 0.56 
A C 0.42 
V C 0.80 
P C 0.83 
K C 0.67 
T C 0.06 
F E 0.52 
Q E 0.67 
L E 0.71 
Q E 0.61 
L E 0.08 
L C 0.32 
S C 0.83 
P C 0.92 
S C 0.91 
S C 0.90 
S C 0.75 
V C 0.25 
V C 0.08 
P C 0.30 
A C 0.54 
F C 0.68 
N C 0.68 
T C 0.65 
G C 0.17 
T E 0.20 
I E 0.15 
T E 0.26 
Q E 0.28 
V E 0.06 
I H 0.10 
K H 0.20 
V H 0.36 
L C 0.07 
N C 0.60 
P C 0.17 
Q C 0.14 
K H 0.74 
Q H 0.75 
Q H 0.62 
L H 0.74 
R H 0.66 
M H 0.50 
R H 0.43 
I H 0.34 
K H 0.14 
L H 0.20 
T H 0.01 
Y C 0.35 
N C 0.59 
H C 0.85 
K C 0.82 
G C 0.79 
S C 0.51 
A H 0.39 
M H 0.53 
Q H 0.77 
D H 0.72 
L H 0.77 
A H 0.73 
E H 0.58 
V H 0.08 
N C 0.77 
N C 0.93 
F C 0.94 
P C 0.93 
P C 0.92 
Q C 0.93 
S C 0.93 
W C 0.93 
Q C 0.92 
END 
