
PFRMAT SS
TARGET T0109
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 1.00
S C 0.87
F C 0.87
D C 0.87
K C 0.92
Q C 0.89
N E 0.77
L E 0.97
I E 1.00
W E 1.00
I E 0.95
D E 0.95
L C 0.77
E C 0.77
M C 0.77
T C 0.87
G C 1.00
L C 1.00
D C 0.95
P C 1.00
E C 0.84
K C 0.87
E H 0.96
R H 1.00
I E 0.96
I E 1.00
E E 1.00
I E 1.00
A E 0.98
T C 0.77
I C 0.95
V C 0.96
T C 0.84
D C 0.87
K C 0.87
N H 0.72
L H 0.87
N C 0.77
I C 0.77
L C 0.86
A C 0.90
E C 0.87
G C 1.00
P C 0.87
V C 0.79
L C 0.77
A E 1.00
V E 1.00
H E 1.00
Q C 0.87
S C 0.87
D H 0.95
E H 0.96
L H 0.96
L H 0.95
N H 1.00
K H 0.96
M H 0.85
N H 0.95
D H 1.00
W C 1.00
C H 0.96
Q H 0.77
K C 0.77
T C 0.86
H C 0.87
S C 0.87
E C 0.87
N C 0.91
G C 0.91
L H 0.96
I H 0.95
E H 1.00
R H 1.00
I H 0.96
K H 0.95
A H 0.84
S H 0.87
K H 0.96
L H 0.96
T H 0.95
E H 0.96
R H 1.00
A H 1.00
A H 1.00
E H 1.00
L H 1.00
Q H 0.96
T H 1.00
L H 0.95
D H 0.96
F H 1.00
L H 1.00
K H 0.95
K H 0.96
W C 0.85
V C 1.00
P C 0.94
K C 0.96
G C 0.96
A C 0.98
S C 0.88
P C 0.87
I C 1.00
C C 0.79
G C 1.00
N C 0.92
S C 0.77
I C 0.77
A C 0.87
Q C 0.87
D H 0.96
K H 0.95
R H 1.00
F H 1.00
L H 0.96
V H 0.95
K H 1.00
Y C 0.85
M C 0.87
P C 0.94
D H 0.96
L H 0.96
A H 0.95
D H 0.96
Y C 0.87
F C 0.81
H C 0.97
Y C 0.77
R C 0.77
H C 0.97
L C 1.00
D C 0.77
V C 0.88
S H 0.96
T H 0.96
L H 1.00
K H 1.00
E H 0.96
L H 0.96
A H 1.00
A H 0.95
R H 0.96
W H 0.96
K H 1.00
P H 1.00
E H 0.96
I H 0.96
L H 1.00
E H 0.96
G H 0.96
F H 0.96
K H 0.95
K C 0.87
E C 0.87
N C 0.91
T C 0.87
H C 0.77
L C 0.95
A H 0.96
L H 0.95
D H 0.95
D H 0.96
I H 0.96
R H 0.95
E H 0.96
S H 1.00
I H 1.00
K H 1.00
E H 1.00
L H 0.96
A H 0.95
Y H 0.96
Y H 0.96
R H 0.95
E H 0.96
H H 1.00
F H 0.96
M H 0.97
K C 0.77
L C 0.94
D C 1.00
END


