
PFRMAT SS
TARGET T0104
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
E C 0.92
S E 0.85
L E 0.74
T E 0.95
Q E 0.95
Y E 0.95
I C 0.94
P C 1.00
D H 0.96
E H 0.96
F H 0.95
S H 0.96
M H 0.96
L H 1.00
R H 0.96
F H 0.96
G H 1.00
K H 0.95
K H 1.00
F H 0.96
A H 0.95
E H 1.00
I H 1.00
L H 1.00
L H 0.95
K H 0.96
L H 1.00
H H 1.00
T H 0.87
E H 0.87
K H 0.96
A H 0.94
I H 0.96
M E 1.00
V E 1.00
Y E 1.00
L E 1.00
N C 0.93
G C 0.94
D C 0.87
L C 0.94
G C 0.87
A C 0.87
G C 0.87
K C 1.00
T C 0.85
T H 0.96
L H 1.00
T H 0.95
R H 0.96
G H 0.96
M H 0.96
L H 1.00
Q C 0.95
G C 0.77
I C 0.77
G C 1.00
H C 0.87
Q C 1.00
G C 1.00
N C 1.00
V C 0.88
K C 0.88
S C 1.00
P E 1.00
T E 0.95
Y E 1.00
T E 0.94
L E 1.00
V H 1.00
E H 1.00
E H 0.96
Y H 0.96
N H 0.95
I H 0.96
A H 0.96
G H 0.87
K C 0.80
M C 1.00
I E 1.00
Y E 0.95
H E 0.87
F E 0.77
D E 0.80
L E 0.91
Y C 0.77
R C 0.95
L C 0.88
A C 0.87
D C 1.00
P C 1.00
E H 0.96
E H 1.00
L H 0.96
E C 0.87
F C 0.77
M C 0.77
G C 0.77
I C 0.77
R C 0.97
D C 0.77
Y C 0.77
F C 0.77
N C 0.94
T C 0.89
D C 0.84
S C 0.87
I E 1.00
C E 0.95
L E 1.00
I E 1.00
E E 1.00
W E 0.96
S C 0.89
E C 0.87
K C 1.00
G C 1.00
Q C 0.92
G C 0.87
I C 0.77
L C 0.85
P C 0.84
E C 0.77
A C 0.81
D C 0.85
I E 1.00
L E 1.00
V C 1.00
N E 0.98
I E 0.77
D C 0.77
Y C 0.77
Y C 0.87
D C 0.90
D C 1.00
A H 0.96
R H 0.95
N H 0.96
I H 0.96
E H 0.96
L H 0.96
I H 1.00
A H 1.00
Q C 0.87
T C 1.00
N H 0.90
L H 0.85
G H 0.89
K H 1.00
N E 0.96
I E 1.00
I E 1.00
S E 1.00
A E 0.97
F C 0.96
S C 0.96
N C 1.00
END


