
PFRMAT SS
TARGET T0093
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
M C 1.00
L E 0.77
D E 0.95
I E 0.95
V E 1.00
L E 1.00
Y E 0.95
E C 0.89
P C 0.96
E C 0.92
I C 1.00
P C 0.92
Q C 1.00
N C 0.87
T C 0.92
G C 0.87
N C 0.96
I E 0.96
I E 1.00
R E 1.00
L E 1.00
C E 1.00
A E 0.67
N C 0.87
T C 0.87
G C 0.87
F C 0.87
R C 0.77
L E 0.97
H E 1.00
L E 1.00
I E 0.95
E C 0.93
P C 0.81
L C 1.00
G C 0.94
F C 0.87
T C 0.77
W C 1.00
D C 0.87
D C 0.87
K H 0.90
R H 1.00
L H 0.96
R C 0.95
R C 0.91
S C 1.00
G C 1.00
L C 1.00
D C 0.87
Y C 0.77
H H 0.96
E H 1.00
F H 0.96
A H 0.95
E H 0.96
I H 0.96
K H 0.90
R C 0.87
H C 1.00
K C 1.00
T H 0.96
F H 0.96
E H 0.95
A H 1.00
F H 0.96
L H 0.95
E C 0.87
S C 0.92
E C 0.93
K C 0.89
P C 1.00
K C 1.00
R E 1.00
L E 1.00
F E 1.00
A E 1.00
L E 0.97
T E 1.00
T C 0.87
K C 0.96
G C 0.94
C C 1.00
P C 1.00
A C 0.89
H C 0.82
S C 0.77
Q C 0.77
V C 0.96
K C 0.77
F C 0.77
K C 0.79
L C 0.77
G C 0.77
D H 0.79
Y H 0.87
L E 1.00
M E 1.00
F C 0.89
G C 0.87
P C 0.94
E C 0.94
T C 0.87
R C 0.92
G C 0.96
I C 1.00
P C 0.85
M H 0.91
S H 0.96
I H 0.96
L H 1.00
N C 0.87
E C 0.87
M C 0.92
P C 0.87
M C 0.92
E C 0.87
Q H 0.91
K H 0.87
I H 0.92
R C 0.85
I C 1.00
P C 0.85
M C 0.92
T C 0.79
A C 0.87
N C 0.87
S C 0.93
R C 0.87
S C 0.87
M H 0.80
N H 0.77
L H 0.81
S H 0.77
N H 0.78
S H 0.70
V E 0.90
A E 1.00
V E 1.00
T E 1.00
V H 0.96
Y H 0.95
E H 0.96
A H 1.00
W H 1.00
R H 0.95
Q H 0.96
L H 0.96
G C 0.77
Y C 0.77
K C 0.79
G C 0.85
A C 0.77
V C 0.97
N C 0.88
L C 0.85
P C 0.87
E C 0.87
V C 0.97
K C 0.95
END


