
PFRMAT SS
TARGET T0123
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
V C 1.00
E E 1.00
V E 1.00
T E 1.00
P E 0.95
I E 0.95
M E 1.00
T C 0.82
E C 0.77
L H 0.83
D H 0.95
T H 0.87
Q C 0.77
K H 0.90
V H 0.96
A C 0.80
G C 1.00
T E 0.77
W E 1.00
H E 1.00
T E 1.00
V E 1.00
A E 1.00
M E 1.00
A C 0.77
V C 0.77
S C 0.77
D C 0.77
V C 0.89
S C 0.77
L C 0.77
L C 0.77
D C 0.87
A C 0.87
K C 0.87
S C 0.87
S C 1.00
P C 0.87
L H 0.95
K H 0.95
A H 0.96
Y H 1.00
V H 0.95
E C 1.00
G C 0.92
L C 1.00
K C 1.00
P C 1.00
T C 1.00
P C 1.00
E C 1.00
G C 1.00
D H 0.96
L H 0.95
E H 1.00
I H 1.00
L H 0.96
L H 0.95
Q H 0.82
K H 0.96
R H 1.00
E C 0.92
N C 0.93
D C 0.89
K H 0.96
C H 0.96
A H 1.00
Q H 1.00
E H 0.96
V H 1.00
L H 0.96
L C 0.77
A C 0.77
K H 1.00
K H 0.87
T C 1.00
D C 1.00
I C 1.00
P C 0.87
A C 0.77
V E 0.97
F E 1.00
K E 0.97
I C 0.77
N C 0.77
A C 0.87
L H 0.96
D H 0.95
E H 0.96
N C 0.87
Q C 0.87
L C 1.00
F E 0.97
L E 1.00
L E 1.00
D C 0.89
T C 0.87
D C 0.87
Y C 0.93
D H 0.95
S H 0.96
H H 0.93
L H 0.96
L H 0.95
L H 0.96
C E 1.00
M E 1.00
E C 0.87
N C 0.94
S C 1.00
A C 0.96
S C 0.92
P C 0.98
E C 0.92
H C 0.87
S C 0.83
L C 0.96
V C 1.00
C H 0.95
Q H 1.00
S H 0.96
L H 0.96
A H 0.95
R H 0.96
T H 0.79
L H 0.77
E H 0.88
V H 0.96
D H 0.95
D H 1.00
Q H 0.96
I H 0.96
R H 0.95
E H 0.96
K H 1.00
F H 0.96
E H 0.95
D H 0.96
A H 0.96
L H 1.00
K H 0.95
T C 0.87
L C 0.77
S C 0.87
V C 0.87
P C 0.91
M C 0.95
R E 0.84
I E 0.78
L C 0.87
P C 1.00
A H 0.96
Q H 1.00
L H 1.00
E H 0.95
E H 0.96
Q H 0.96
C C 0.87
R C 0.95
V C 0.96
END


