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

摘要：

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.

作者: Xiaoli Shen Yuehui Chen

作者单位: School of Information Science and Engineering, University of Jinan, Jiwei road 106,Jinan 250022,P.R. School of Information Science and Engineering, University of Jinan, Jiwei road 106, Jinan 250022,P.R

会议类型: 国际会议

会议名称: 2011 International Conference on Environmental Biotechnology and Materials Engineering(2011年环境生物技术与材料工程国际会议)

会议地点: 哈尔滨

会议语种:英文

页码: 387-391

在线出版日期: 2011-03-26（万方平台首次上网日期，不代表论文的发表时间）