Title :
Prediction of protein interactions by combining genetic algorithm with SVM method
Author :
Wang, Bing ; Ge, Lu-sheng ; Jia, Wen-You ; Liu, Li ; Chen, Fu-Chun
Author_Institution :
Anhui Univ. of Technol., Anhui
Abstract :
This paper proposes a novel hybrid GA/SVM method that can predict the interactions between proteins intermediated by the protein-domain relations. Firstly, we represented a protein by the domains contained inside, which can consider the effects of domain duplication. To simulate the combination of different domains, a transformation of the domain composition was taken subsequently. Further, a genetic algorithm was used to seek the optimized transformation, which had been adopted as the input vector of a predictor constructed using support vector machines method. Finally, experiment results validated the effectiveness and efficiency of our proposed approach by a better performance.
Keywords :
biology computing; genetic algorithms; proteins; support vector machines; SVM method; domain duplication effects; genetic algorithm; optimized transformation; protein interaction prediction; protein-domain relations; Biological cells; Biological control systems; Biotechnology; Genetic algorithms; Large-scale systems; Maximum likelihood estimation; Optimization methods; Organisms; Protein engineering; Support vector machines;
Conference_Titel :
Evolutionary Computation, 2007. CEC 2007. IEEE Congress on
Conference_Location :
Singapore
Print_ISBN :
978-1-4244-1339-3
Electronic_ISBN :
978-1-4244-1340-9
DOI :
10.1109/CEC.2007.4424488