
PFRMAT SS
TARGET T0126
AUTHOR 2362-9859-5939
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 2
M C 0.98
A C 0.97
E C 0.98
D C 1.00
G C 1.00
P C 1.00
Q C 1.00
K C 1.00
Q C 0.87
Q C 0.87
L C 0.87
E C 0.80
M C 0.87
P C 0.80
L C 0.77
V C 1.00
L C 0.87
D C 0.95
Q C 1.00
D H 1.00
L H 0.96
T H 0.95
Q H 0.96
Q H 1.00
M H 1.00
R H 0.95
L H 0.96
R H 0.96
V H 1.00
E H 1.00
S H 1.00
L H 0.96
K H 0.95
Q H 0.96
R C 0.92
G C 1.00
E C 0.87
K C 0.87
K C 0.87
Q C 0.87
D C 0.87
G H 0.92
E H 0.95
K E 1.00
L E 1.00
I E 0.95
R C 0.85
P C 0.92
A C 0.96
E C 0.93
S C 0.87
V C 0.86
Y C 0.77
R C 0.77
L C 0.77
D C 0.86
F H 0.96
I H 0.96
Q H 1.00
Q H 0.96
Q C 0.86
K C 0.87
L C 0.77
Q C 0.87
F C 0.83
D C 0.92
H E 0.77
W E 0.97
N E 1.00
V E 1.00
V E 1.00
L E 1.00
D E 0.88
K C 1.00
P C 1.00
G C 1.00
K E 0.97
V E 1.00
T E 1.00
I E 1.00
T E 1.00
G E 1.00
T E 0.95
S E 0.95
Q E 0.95
N E 0.87
W C 0.95
T C 1.00
P C 1.00
D H 0.96
L H 0.96
T H 0.95
N H 0.96
L H 1.00
M H 0.96
T H 0.95
R H 0.96
Q H 0.92
L H 0.96
L C 0.87
D C 0.87
P C 1.00
A C 0.85
A C 0.82
I C 0.97
F C 0.77
W C 0.77
R C 0.77
K C 0.87
E C 0.87
D C 0.87
S C 1.00
D C 0.92
A C 0.87
M C 0.92
D C 0.87
W C 0.87
N C 0.87
E H 0.96
A H 1.00
D H 0.96
A H 0.96
L H 0.95
E H 0.96
F H 0.96
G H 0.95
E H 0.96
R H 1.00
L H 1.00
S H 0.95
D H 0.96
L H 0.96
A H 0.95
K H 0.96
I H 0.96
R H 0.95
K H 0.96
V H 0.96
M E 1.00
Y E 1.00
F E 1.00
L E 1.00
I E 1.00
T E 1.00
F E 0.95
G C 0.87
E C 0.87
G C 0.94
V C 0.91
E C 0.87
P C 1.00
A C 1.00
N C 0.89
L C 0.87
K C 0.87
A C 0.77
S C 0.82
V E 0.95
V E 1.00
F E 1.00
N C 0.85
Q C 0.94
L C 0.95
END


