
PFRMAT SS
TARGET T0094
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
E C 0.87
E E 0.89
V E 1.00
K E 0.95
K C 1.00
D C 0.81
V E 0.97
Y E 1.00
S E 1.00
V E 1.00
W E 1.00
A E 1.00
L C 1.00
P C 1.00
D C 1.00
E C 0.93
E C 0.87
S C 0.93
E C 1.00
P H 0.96
R H 1.00
F H 1.00
K H 0.95
K H 0.96
L H 1.00
M H 1.00
E H 1.00
A H 0.96
L H 0.96
R H 0.95
S C 0.87
E C 0.87
F C 0.94
T C 0.98
G C 0.98
P C 0.98
R E 0.97
F E 0.95
V E 0.97
P E 1.00
H E 0.97
V E 1.00
T E 1.00
V E 1.00
A E 1.00
V E 0.95
S H 0.95
A H 0.96
Y H 0.96
L H 0.77
T C 0.87
A H 1.00
D H 1.00
E H 1.00
A H 0.96
K H 1.00
K H 0.96
M H 0.96
F H 1.00
E H 0.95
S H 0.96
A H 0.96
C H 0.95
D H 0.96
G C 0.88
L C 1.00
K H 0.95
A H 0.96
Y H 0.96
T C 1.00
A E 1.00
T E 1.00
V E 1.00
D E 0.99
R E 0.79
V E 0.97
S E 0.86
T C 0.87
G C 1.00
T C 1.00
F C 0.95
F C 0.96
F E 0.95
Q E 1.00
C H 0.96
V H 0.96
F C 0.95
L C 1.00
L C 0.96
L C 0.95
Q C 0.86
T C 0.96
T C 0.92
P C 1.00
E H 0.96
V H 0.96
M H 0.95
E H 1.00
A H 0.96
G H 0.95
E C 0.87
H C 0.87
C C 1.00
K C 0.89
N C 0.77
H E 0.97
F E 0.97
N E 1.00
C C 0.90
S C 1.00
T C 0.95
T C 1.00
T C 0.96
P C 0.88
Y C 1.00
M C 0.87
P C 0.87
H C 0.87
L C 0.97
S H 0.95
L H 0.96
L H 0.96
Y H 0.95
A H 1.00
E H 0.96
L H 0.96
T H 0.95
E H 1.00
E H 1.00
E H 0.96
K H 0.95
K H 0.96
N H 0.96
A H 0.96
Q H 0.95
E H 0.96
K C 0.87
A C 0.95
Y C 0.77
T E 1.00
L E 1.00
D E 0.87
S C 1.00
S C 0.87
L C 0.87
D C 1.00
G C 0.90
L C 0.96
S C 0.77
F H 0.96
R H 0.96
L H 0.95
N H 0.95
R H 0.96
L H 0.89
A E 0.97
L E 0.95
C E 0.97
K C 0.94
T C 1.00
D C 0.96
T C 0.89
E C 0.92
D C 0.87
K C 0.90
T C 0.87
L C 0.95
E C 0.77
T C 0.77
W C 0.77
E E 1.00
T E 0.95
V E 1.00
A E 1.00
V E 1.00
C E 0.95
N C 0.89
L C 0.99
N C 1.00
P C 0.90
END


