
PFRMAT SS
TARGET T0106
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
A C 1.00
A C 0.95
C C 0.87
E C 1.00
P C 1.00
V C 0.87
R C 0.95
I C 1.00
P C 0.80
L C 0.87
C C 0.77
K C 0.85
S H 0.90
L H 1.00
P C 1.00
W C 0.91
E C 0.87
M C 0.96
T C 0.95
K C 0.95
M C 0.87
P C 0.87
N C 1.00
H C 0.87
L C 0.92
H C 0.87
H C 0.92
S C 0.87
T C 0.87
Q H 0.96
A H 0.95
N H 1.00
A H 1.00
I H 1.00
L H 0.96
A H 0.96
M H 1.00
E H 1.00
Q H 1.00
F H 0.96
E H 0.95
G H 0.96
L C 0.77
L C 0.92
G C 0.79
T C 0.77
H C 0.77
C C 0.96
S C 1.00
P C 1.00
D C 0.91
L H 0.96
L H 0.95
F H 0.96
F H 0.96
L H 0.96
C H 0.95
A C 0.77
M C 0.77
Y C 0.87
A C 1.00
P C 1.00
I C 1.00
C E 0.95
T E 0.85
I E 0.95
D E 0.95
F C 0.85
Q C 0.87
H C 0.94
E C 0.95
P C 0.95
I C 0.96
K C 0.95
P C 0.87
C C 1.00
K H 0.95
S H 0.96
V H 0.96
C H 0.95
E H 0.95
R H 0.96
A H 0.96
R H 0.95
Q H 0.96
G H 0.94
C H 1.00
E H 0.93
P H 0.96
I E 0.69
L E 1.00
I E 1.00
K E 1.00
Y C 0.77
R C 0.77
H C 0.87
S C 0.96
W C 1.00
P C 1.00
E C 0.87
S C 0.87
L C 0.87
A C 0.87
C C 0.87
D C 0.87
E C 0.87
L C 1.00
P E 0.90
V E 0.91
Y C 0.77
D C 0.85
R E 1.00
G E 0.97
V E 1.00
C E 1.00
I E 0.95
S E 0.85
P C 0.77
E C 0.87
A C 0.77
I E 1.00
V E 1.00
T E 0.95
A C 1.00
D C 1.00
G C 1.00
A C 1.00
D C 0.99
END



