A study on the pattern recognition of thermophilic and mesophilic proteins / 生物工程学报
Chinese Journal of Biotechnology
;
(12): 960-964, 2005.
Article
in Chinese
| WPRIM
| ID: wpr-237043
ABSTRACT
Pattern recognition of thermophilic and mesophilic proteins were studied through principle component analysis, partial least-square regression and BP neural network. The results showed that the fitting accuracy of the three methods was 92%, 95% and 98%, respectively. And the forecasting accuracy was 60%, 72.5% and 72.5%, respectively. The best forecasting accuracy for thermophilic proteins was 75%, and for mesophilic proteins was 85%. A mathematical model was established and the biological meaning of it was expatiated on, a new method to discriminate the thermophilic and mesophilic proteins based on their sequences was established here.
Full text:
Available
Index:
WPRIM (Western Pacific)
Main subject:
Pattern Recognition, Automated
/
Proteins
/
Discriminant Analysis
/
Least-Squares Analysis
/
Chemistry
/
Neural Networks, Computer
/
Principal Component Analysis
/
Genetics
/
Amino Acids
/
Hot Temperature
Language:
Chinese
Journal:
Chinese Journal of Biotechnology
Year:
2005
Type:
Article
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