
PFRMAT SS
TARGET T0107
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 E 1.00
A E 0.97
T E 1.00
A E 0.95
K E 0.95
Y C 1.00
G C 0.89
T E 1.00
P E 0.95
V E 1.00
I E 1.00
D E 1.00
G C 0.92
E C 0.77
I C 0.95
D H 0.95
E H 0.96
I H 0.96
W H 1.00
N H 0.96
T H 1.00
T H 0.95
E H 1.00
E H 0.96
I H 0.96
E H 0.95
R H 1.00
K H 1.00
A H 0.96
V C 0.77
A C 0.81
M C 0.77
G C 0.87
S C 0.87
L C 0.87
D H 0.95
K H 0.96
N H 0.96
A H 0.96
T H 0.95
A H 0.96
K H 0.97
V H 0.93
R E 1.00
V E 1.00
L E 1.00
W C 0.77
D C 0.87
E C 0.96
N C 0.87
Y C 0.87
L C 0.77
Y E 0.96
V E 1.00
L E 1.00
A E 1.00
I E 0.95
V E 0.95
K C 0.85
D C 1.00
P C 0.94
V C 0.80
L C 0.95
N C 0.87
K C 1.00
D C 0.96
N C 1.00
S C 1.00
N C 1.00
P C 1.00
W C 0.92
E C 0.87
Q C 0.94
D C 0.89
S C 0.77
V E 0.97
E E 1.00
I E 1.00
F E 1.00
I E 1.00
D C 0.85
E C 0.87
N C 0.87
N C 0.87
H C 0.87
K C 1.00
T C 1.00
G C 1.00
Y E 1.00
Y E 0.95
E E 0.81
D C 0.87
D C 1.00
D C 1.00
A H 0.96
Q H 0.96
F H 0.77
R H 0.96
V H 0.95
N H 0.77
Y C 0.77
M C 0.77
N E 0.97
E E 0.97
Q E 0.95
T E 1.00
F E 0.95
G C 0.88
T C 1.00
G C 0.98
G C 0.98
S C 1.00
P C 0.91
A C 0.87
R C 1.00
F E 0.97
K E 0.95
T E 0.96
A C 0.96
V E 1.00
K E 1.00
L E 1.00
I E 0.76
E C 0.77
G C 0.91
G C 0.90
Y C 0.77
I E 1.00
V E 1.00
E C 0.96
A C 0.96
A C 0.96
I E 0.77
K E 0.95
W E 1.00
K E 0.97
T E 0.95
I C 0.87
K C 0.88
P C 1.00
T C 1.00
P C 1.00
N E 0.96
T E 0.97
V E 1.00
I E 1.00
G E 1.00
F E 0.95
N E 1.00
I E 0.95
Q E 1.00
V E 0.95
N C 0.87
D C 0.92
A C 0.94
N C 0.95
E C 0.88
K C 1.00
G C 1.00
Q E 0.80
R E 1.00
V E 1.00
G E 1.00
I E 1.00
I E 1.00
S E 1.00
W E 1.00
S C 0.89
D C 1.00
P C 1.00
T C 0.92
N C 0.92
N C 1.00
S C 0.98
W C 0.92
R C 0.98
D C 1.00
P C 1.00
S C 0.92
K C 0.87
F C 0.87
G C 0.87
N C 0.89
L E 0.97
R E 1.00
L E 0.95
I C 0.85
K C 0.97
END



