
PFRMAT SS
TARGET T0097
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
G C 0.50
C C 0.31
L H 0.47
P H 0.45
A H 0.46
Y H 0.47
D H 0.47
A H 0.47
L H 0.48
A H 0.48
G H 0.47
Q H 0.46
F H 0.41
I H 0.31
E H 0.34
A C 0.37
S C 0.34
S H 0.37
R H 0.41
E H 0.42
A H 0.45
R H 0.46
Q H 0.47
A H 0.48
I H 0.48
L H 0.48
K H 0.47
Q H 0.46
G H 0.43
Q H 0.41
D H 0.37
G H 0.33
L H 0.29
S C 0.37
G C 0.55
V C 0.29
K C 0.03
E H 0.21
T H 0.29
D H 0.37
K H 0.43
K H 0.45
W H 0.47
A H 0.48
S H 0.48
Q H 0.49
Y H 0.49
L H 0.49
K H 0.48
I H 0.47
M H 0.45
G H 0.44
K H 0.43
I H 0.35
L H 0.24
D H 0.12
Q C 0.10
G C 0.42
E C 0.53
D C 0.64
F H 0.25
P H 0.34
A H 0.40
S H 0.44
E H 0.46
L H 0.47
A H 0.48
R H 0.48
I H 0.48
S H 0.47
K H 0.45
L H 0.39
I H 0.24
E H 0.10
N C 0.32
K C 0.35
M C 0.38
S C 0.22
E C 0.11
G C 0.01
K H 0.13
K H 0.25
E H 0.34
E H 0.40
L H 0.43
Q H 0.44
R H 0.45
S H 0.45
L H 0.46
N H 0.46
I H 0.47
L H 0.47
T H 0.47
A H 0.46
F H 0.44
R H 0.41
K C 0.25
K C 0.28
G C 0.28
A C 0.17
E C 0.10
K C 0.14
E C 0.26
E C 0.37
L C 0.48
END

