
PFRMAT SS
TARGET T0099
AUTHOR 2362-9859-5939
REMARK PSSP web server, prediction  based on multiple sequence alignment
METHOD This method utilise the neural network and example based approach to
METHOD predict the secondary structure of proteins.
MODEL 1
E C 0.89
F E 1.00
I E 1.00
A E 1.00
I E 1.00
Y E 0.94
D E 0.92
Y C 1.00
K C 0.91
A C 0.84
E C 0.84
T C 0.86
E C 0.86
E C 1.00
D C 0.82
L C 0.91
T C 0.81
I C 0.81
K C 0.82
K C 0.85
G C 0.86
E C 0.84
K E 1.00
L E 1.00
E E 1.00
I E 1.00
I E 1.00
E E 1.00
K C 0.80
E C 1.00
G C 0.86
D C 0.86
W C 0.83
W E 0.93
K E 1.00
A E 1.00
K E 0.87
A E 0.77
I C 0.85
G C 0.86
S C 0.91
G C 0.92
E C 0.88
I E 0.82
G E 0.97
Y E 1.00
I E 0.91
P E 0.81
A E 1.00
N E 0.91
Y E 0.94
I E 0.98
A E 0.93
A E 0.91
A C 0.96
E C 1.00
END

