
PFRMAT SS
TARGET T0125
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
F C 0.98
D C 0.98
D C 0.85
V E 1.00
V E 1.00
V E 1.00
S E 1.00
R E 0.95
Q H 1.00
E H 0.96
Q H 0.95
S H 0.96
Y H 0.96
V H 0.96
Q H 0.95
R H 0.77
G H 0.86
M H 0.96
V H 1.00
N H 0.96
F H 1.00
L H 0.96
D H 0.95
E H 0.96
E H 1.00
M H 1.00
H H 0.95
K H 0.96
L H 0.96
V H 1.00
K H 1.00
R H 0.96
F H 1.00
R H 0.95
D H 0.96
M H 0.96
R H 0.77
W C 0.77
N C 0.92
L C 0.96
G C 0.94
P C 1.00
G C 0.87
F E 0.76
V E 1.00
F E 1.00
L E 1.00
L H 1.00
K H 0.95
K H 0.96
V H 0.96
N H 0.95
R H 0.95
E H 1.00
R H 1.00
M H 0.96
M H 1.00
R H 0.96
Y H 0.96
C H 0.96
M H 0.95
D H 0.96
Y H 0.96
A H 0.95
R H 0.96
Y H 0.96
S H 0.95
K H 1.00
K H 1.00
I H 1.00
L H 0.95
Q H 0.77
L H 1.00
K C 0.77
H C 0.85
L C 0.79
P C 0.92
V C 1.00
N C 0.87
K H 0.95
K H 0.96
T H 0.96
L H 1.00
T H 0.95
K H 0.96
M H 0.96
G E 0.97
R E 0.97
F E 1.00
V E 1.00
G E 0.95
Y E 0.96
R C 0.86
N C 0.77
Y C 1.00
G C 0.77
V C 0.95
I H 0.96
R H 0.95
E H 0.96
L H 0.96
Y H 1.00
A H 0.95
D H 0.96
V H 0.96
F H 0.95
R H 0.95
D H 0.96
V H 0.96
Q C 0.91
G C 1.00
F C 0.91
R C 0.92
G C 1.00
P C 0.87
K C 0.87
M C 0.87
T H 0.95
A H 0.96
A H 1.00
M H 0.96
R H 0.95
K C 0.77
Y C 0.97
S C 0.87
S C 1.00
K C 1.00
D C 1.00
P C 1.00
G C 0.98
T C 1.00
F C 0.88
P C 1.00
C C 1.00
K C 0.94
N C 1.00
E C 0.89
K C 0.87
R C 1.00
R C 1.00
G C 1.00
END


