
PFRMAT SS
TARGET T0088
AUTHOR 4902-2453-3076
REMARK PSSP web server, prediction  based on single sequence
METHOD This method utilise the neural network and example based approach to
METHOD predict the secondary structure of proteins.
MODEL 1
A C 1.00
V E 1.00
S E 1.00
F E 1.00
I E 1.00
G E 1.00
S E 1.00
T E 0.95
E C 0.83
N C 0.92
D C 0.98
V C 0.98
G C 1.00
P C 1.00
S C 1.00
Q C 1.00
G C 1.00
S C 0.86
Y C 0.77
S C 0.97
S C 0.77
T C 1.00
H C 0.77
A C 0.77
M C 0.87
D C 0.87
N C 0.80
L E 0.89
P E 0.95
F E 0.77
V E 0.95
Y E 1.00
N E 0.95
T E 0.87
G C 1.00
Y E 0.77
N E 0.95
I E 0.95
G E 0.95
Y E 0.95
Q C 1.00
N C 0.77
A C 0.77
N C 0.89
V E 0.95
W E 1.00
R E 1.00
I E 0.95
S C 0.77
G C 1.00
G C 0.79
F E 1.00
C E 1.00
V E 1.00
G E 1.00
L E 1.00
D C 1.00
G C 1.00
K C 0.83
V C 0.77
D E 0.95
L E 0.97
P E 0.95
V E 1.00
V E 1.00
G E 1.00
S E 1.00
L C 0.85
D C 1.00
G C 0.85
Q C 1.00
S C 0.77
I E 1.00
Y E 0.95
G C 0.90
L C 0.77
T H 0.95
E H 0.96
E H 0.96
V E 0.77
G E 0.77
L E 1.00
L E 1.00
I E 1.00
W E 1.00
M E 1.00
G E 0.85
D C 0.94
T C 1.00
N C 0.85
Y C 0.77
S C 0.87
R C 0.85
G C 0.77
T C 0.77
A E 0.95
M E 0.97
S E 1.00
G C 1.00
N C 0.92
S E 0.83
W E 0.95
E E 0.97
N E 1.00
V E 1.00
F E 1.00
S E 1.00
G E 0.95
W E 1.00
C E 1.00
V E 1.00
G E 0.95
N E 0.97
Y E 0.95
V E 1.00
S E 0.95
T E 0.77
Q C 0.77
G C 0.77
L E 0.97
S E 0.95
V E 0.95
H E 0.95
V E 1.00
R E 1.00
P E 0.95
V E 0.97
I E 1.00
L E 1.00
K E 1.00
R E 0.88
N C 0.94
S C 0.94
S C 0.94
A C 0.87
Q C 0.91
Y E 0.77
S E 1.00
V E 1.00
Q E 0.97
K C 0.77
T C 0.77
S C 0.77
I C 0.77
G E 0.79
S E 0.97
I E 1.00
R E 1.00
M E 1.00
R C 1.00
P C 1.00
Y C 1.00
N C 0.99
G C 1.00
S C 1.00
S C 1.00
END

