
PFRMAT SS
TARGET T0086
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
S C 1.00
H C 1.00
P C 1.00
A C 0.92
L H 0.95
T H 0.97
Q H 1.00
L H 1.00
R H 1.00
A H 1.00
L H 1.00
R H 0.96
Y C 0.86
C C 0.87
K H 0.83
E H 0.87
I C 1.00
P C 0.87
A C 0.89
L C 0.87
D C 0.87
P C 0.92
Q H 0.96
L H 0.96
L H 0.95
D H 1.00
W H 0.96
L C 0.77
L H 0.77
L H 0.92
E H 0.95
D H 0.96
S H 1.00
M H 0.96
T H 0.95
K H 0.96
R H 1.00
F H 0.96
E H 0.95
Q H 0.96
Q C 1.00
G C 1.00
K C 1.00
T C 0.77
V E 1.00
S E 1.00
V E 1.00
T E 1.00
M E 1.00
I E 1.00
R E 0.95
E C 0.89
G C 0.77
F C 0.85
V C 0.95
E C 0.81
Q C 0.78
N C 0.87
E C 0.87
I C 1.00
P C 0.87
E C 0.87
E C 1.00
L C 1.00
P C 0.87
L C 0.87
L C 0.92
P C 0.87
K H 0.96
E H 0.94
S H 0.96
R H 0.95
Y H 1.00
W H 0.96
L H 1.00
R H 0.95
E H 0.96
I H 0.96
L H 1.00
L C 0.95
C C 0.83
A C 0.91
D C 1.00
G C 1.00
E C 1.00
P C 1.00
W C 0.92
L C 0.77
A E 0.77
G E 0.97
R C 0.88
T E 1.00
V E 1.00
V E 1.00
P E 1.00
V E 1.00
S E 0.98
T E 1.00
L C 0.85
S C 0.96
G C 1.00
P C 0.94
E C 0.87
L H 0.96
A H 0.96
L H 1.00
Q H 0.95
K H 0.96
L H 0.96
G C 0.87
K C 1.00
T C 1.00
P C 0.87
L C 1.00
G E 0.97
R E 1.00
Y E 1.00
L E 1.00
F E 1.00
T E 0.97
S C 0.92
S E 0.77
T E 0.96
L H 1.00
T H 0.95
R H 0.95
D C 0.96
F H 0.96
I H 0.95
E H 0.96
I H 0.77
G C 0.87
R C 1.00
D C 0.87
A C 0.87
G C 1.00
L C 0.87
W C 0.87
G C 0.91
R C 0.91
R C 0.92
S C 0.77
R C 0.67
L C 0.77
R C 0.77
L C 0.87
S C 0.94
G C 1.00
K C 1.00
P C 0.87
L C 0.84
L C 0.77
L E 0.77
T E 0.97
E E 0.95
L E 0.95
F C 0.77
L C 0.85
P C 1.00
A C 1.00
S C 0.92
P C 0.92
L C 1.00
Y C 0.99
END


