Predicting Protein Interaction Sites Based on a New Integrated Radial Basis Functional Neural Network

Abstract:

Article Preview

Interactions among proteins are the basis of various life events. So, it is important to recognize and research protein interaction sites. A control set that contains 149 protein molecules were used here. Then 10 features were extracted and 4 sample sets that contained 9 sliding windows were made according to features. These 4 sample sets were calculated by Radial Basis Functional neutral networks which were optimized by Particle Swarm Optimization respectively. Then 4 groups of results were obtained. Finally, these 4 groups of results were integrated by Genetic Algorithm based Selected Ensemble (GASEN) and better accuracy was got. So, the integrated method was proved to be effective.

Info:

Periodical:

Advanced Materials Research (Volumes 183-185)

Edited by:

Yanguo Shi and Jinlong Zuo

Pages:

387-391

DOI:

10.4028/www.scientific.net/AMR.183-185.387

Citation:

X. L. Shen and Y. H. Chen, "Predicting Protein Interaction Sites Based on a New Integrated Radial Basis Functional Neural Network", Advanced Materials Research, Vols. 183-185, pp. 387-391, 2011

Online since:

January 2011

Export:

Price:

$35.00

In order to see related information, you need to Login.

In order to see related information, you need to Login.