Paper Title:
Predicting Protein Interaction Sites Based on a New Integrated Radial Basis Functional Neural Network
  Abstract

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)
Chapter
Environmental Biotechnology
Edited by
Yanguo Shi and Jinlong Zuo
Pages
387-391
DOI
10.4028/www.scientific.net/AMR.183-185.387
Citation
X. L. Shen, 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
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Price
$32.00
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