
PFRMAT SS
TARGET T0091
AUTHOR 9521-1365-5893
METHOD Program Name: PSIPRED
METHOD Synopsis: Neural network prediction based on PSIBLAST output
METHOD Five neural networks are used to predict secondary structure directly
METHOD from the profiles generated by PSIBLAST. Networks 1-4 predict
METHOD secondary structure, the 5th network filters the output of the first
METHOD level networks. The first level networks have 17*21 inputs and 75 hidden
METHOD units, the second level network has 17*3 inputs and 55 hidden units.
METHOD The networks have been trained on a set of 2937 proteins with
METHOD early-stopped training. 10% of the training data was used to detect
METHOD convergence.
METHOD The target sequence was scanned against a non-redundant databank of
METHOD filtered protein sequences (> 500,000 sequences), with 3 PSIBLAST
METHOD iterations.
MODEL  1
M C 0.98
F C 0.56
G C 0.41
K C 0.34
G C 0.28
G C 0.29
L H 0.77
G H 0.79
G H 0.73
L H 0.89
M H 0.95
K H 0.94
Q H 0.95
A H 0.96
Q H 0.96
Q H 0.96
M H 0.96
Q H 0.96
E H 0.96
K H 0.96
M H 0.95
Q H 0.94
K H 0.95
M H 0.95
Q H 0.96
E H 0.95
E H 0.91
I H 0.72
A H 0.47
Q C 0.54
L C 0.74
E E 0.35
V E 0.51
T E 0.60
G E 0.56
E E 0.17
S C 0.37
G C 0.81
A C 0.92
G C 0.69
L E 0.67
V E 0.95
K E 0.95
I E 0.97
T E 0.96
I E 0.95
N E 0.65
G C 0.68
A C 0.92
H C 0.41
N E 0.30
C E 0.89
R E 0.59
R E 0.87
I E 0.63
D E 0.79
I E 0.66
D C 0.79
P H 0.79
S H 0.85
L H 0.76
M H 0.27
E C 0.52
D C 0.80
D C 0.77
K H 0.67
E H 0.83
M H 0.91
L H 0.94
E H 0.96
D H 0.96
L H 0.97
I H 0.96
A H 0.96
A H 0.96
A H 0.96
F H 0.96
N H 0.96
D H 0.96
A H 0.96
V H 0.96
R H 0.96
R H 0.96
A H 0.96
E H 0.96
E H 0.95
L H 0.95
Q H 0.95
K H 0.95
E H 0.93
K H 0.93
M H 0.95
A H 0.96
S H 0.92
V H 0.88
T H 0.77
A H 0.22
G H 0.22
M C 0.74
P C 0.88
L C 0.73
P C 0.62
P C 0.86
G C 0.90
M C 0.84
K C 0.88
F C 0.92
P C 0.88
F C 0.96
END

