Improved Prediction Method of Protein Contact Based on RBF Neural Network

摘要：

In this paper, a prediction method of protein contact on the basis of information granules and RBF neural network have been brought forward. This method improved the encoding approach of protein structure data and classifier performance to enhance the predicting accuracy of protein contact. 200 nonhomologous proteins from the PDB database were encoded according to the encoding approach and were taken as models of training samples. Then the training samples were taken on the granule division based on the information granularity theory and corresponding predicting models for each granule division were set by using RBF neural network. The simulation experiment result indicated that this method can enhance the accuracy of prediction of protein structure.

关键词： protein contact encoding clustering analysis RBF neural network

作者: Sun Pengfei Zhang Jianpei Sun Pengfei

作者单位: College of Computer Science and Technology Harbin Engineering University Harbin,China College of Computer Science and Technology Harbin Normal University Harbin,China

会议类型: 国际会议

会议名称: The 3rd International Conference on Bioinformatics and Biomedical Engineering(iCBBE 2009)(第三届生物信息与生物医学工程国际会议)

会议地点: 北京

会议语种:英文

页码: 1-4

在线出版日期: 2009-06-11（万方平台首次上网日期，不代表论文的发表时间）