
PFRMAT SS
TARGET T0098
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
D C 0.49
N C 0.43
K C 0.37
P C 0.25
K C 0.17
N C 0.14
L C 0.10
D H 0.08
A H 0.16
S H 0.30
I H 0.38
T H 0.42
S H 0.44
I H 0.46
I H 0.46
H H 0.40
E H 0.29
I H 0.17
G C 0.44
V C 0.38
P C 0.32
A H 0.05
H H 0.12
I H 0.20
K H 0.25
G H 0.31
Y H 0.39
L H 0.43
Y H 0.45
L H 0.47
R H 0.48
E H 0.48
A H 0.49
I H 0.49
A H 0.48
M H 0.48
V H 0.45
Y H 0.40
H H 0.33
D H 0.37
I H 0.41
E H 0.43
L H 0.44
L H 0.45
G H 0.45
S H 0.45
I H 0.46
T H 0.44
K H 0.42
V H 0.37
L H 0.24
Y H 0.34
P H 0.39
D H 0.40
I H 0.40
A H 0.38
K H 0.37
K H 0.28
Y H 0.19
N C 0.42
T C 0.44
T C 0.46
A H 0.42
S H 0.45
R H 0.46
V H 0.47
E H 0.47
R H 0.48
A H 0.47
I H 0.46
R H 0.43
H H 0.41
A H 0.39
I H 0.35
E H 0.34
V H 0.28
A H 0.18
W H 0.09
S C 0.12
R C 0.26
G C 0.31
N C 0.35
L H 0.26
E H 0.18
S H 0.25
I H 0.29
S H 0.26
S H 0.23
L H 0.18
F H 0.12
G C 0.23
Y E 0.20
T E 0.21
V E 0.18
S E 0.14
V C 0.25
S C 0.28
K C 0.34
A C 0.40
K C 0.42
P C 0.36
T C 0.28
N C 0.20
S H 0.06
E H 0.16
F H 0.23
I H 0.25
A H 0.24
M H 0.24
V H 0.28
A H 0.25
D H 0.22
K H 0.19
L H 0.15
R H 0.11
L H 0.13
E H 0.09
H H 0.05
K C 0.14
A C 0.31
S C 0.48
END

