
PFRMAT SS
TARGET T0110
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
M C 0.92
A H 1.00
R H 1.00
E H 1.00
F H 0.96
K H 0.95
R C 0.87
S H 0.91
D H 0.95
R H 0.96
V H 0.96
A H 1.00
Q H 1.00
E H 0.96
I H 0.96
Q H 1.00
K H 1.00
E H 1.00
I H 1.00
A H 0.95
V H 0.96
I H 0.96
L H 0.97
Q H 0.95
R H 0.96
E C 0.87
V C 0.87
K C 0.92
D C 1.00
P C 1.00
R C 0.87
I E 0.97
G E 1.00
M E 1.00
V E 1.00
T E 1.00
V E 1.00
S E 0.95
D E 1.00
V E 0.97
E E 0.89
V E 0.77
S C 0.77
S C 1.00
D C 0.87
L C 1.00
S C 0.77
Y H 0.96
A H 0.95
K E 0.97
I E 0.96
F E 1.00
V E 1.00
T E 1.00
F E 1.00
L E 1.00
F C 0.77
D C 0.87
H C 1.00
D C 0.87
E H 1.00
M H 1.00
A H 0.96
I H 1.00
E H 1.00
Q H 0.96
G H 0.96
M H 0.95
K H 1.00
G C 0.87
L H 0.96
E H 0.95
K H 0.96
A C 0.87
S H 0.95
P H 1.00
Y H 1.00
I H 0.96
R H 0.95
S H 0.96
L H 0.96
L H 1.00
G H 1.00
K H 1.00
A H 1.00
M H 0.96
R H 0.77
L E 0.97
R E 0.95
I E 0.95
V C 0.90
P C 1.00
E C 0.77
I C 0.96
R E 0.95
F E 0.95
I E 0.95
Y C 0.77
D H 0.95
Q H 0.96
S H 0.96
L H 0.96
V H 1.00
E H 0.96
G H 0.90
M H 1.00
R H 1.00
M C 0.77
S C 0.97
N C 0.77
L E 0.95
V E 1.00
T E 1.00
N E 0.98
V E 0.95
V E 0.95
R C 0.95
E C 0.87
D C 0.88
E H 0.96
K H 0.95
K H 0.96
H C 0.85
V C 0.97
E C 0.89
E C 0.94
S C 1.00
N C 1.00
END


