A Four-Layer Reference Model for Prediction of Protein Side-Chains Based on Dynamic Bayesian Networks

摘要：

A four-layer reference model for prediction of protein side-chains based on Dynamic Bayesian Networks is proposed. The relation of backbone with four side chain torsion angles is considered in this model, and the problem caused by sparse data is resolved to a certain extent. Experiment shows that this method has produced a better DBN model and more exact prediction results. It indicates that the fourlayer reference model is effective.

关键词： Prediction of Protein Structure Prediction of Sidechain Dynamic Bayesian Networks

作者: Xu Huang Qiang Lv Dajun Miao Peide Qian

作者单位: School of Information and Engineering Huzhou Teachers College Huzhou Zhejiang, China School of Computer Science and Technology Soochow University Suzhou Jiangsu, China

会议类型: 国际会议

会议名称: 2012 Fifth International Symposium on Computational Intelligence and Design 第五届计算智能与设计国际会议 ISCID 2012

会议地点: 杭州

会议语种:英文

页码: 743-747

在线出版日期: 2012-10-28（万方平台首次上网日期，不代表论文的发表时间）