A SVM-based predictor for RNA-binding protein prediction

摘要：

　　RNA-binding proteins play critical roles in various cellular processes.Computational approaches to identify RNA-binding proteins have an important guiding role in designing experiments in RBPome.In this paper, through integrating more features together from proteins, we develop a computational method RBPPR-Seq based on support vector machine for predicting RNA-binding proteins by combining physicochemical properties, charge and evolutionary information from protein target sequences.

作者: Xiaoli Zhang Shiyong Liu

作者单位: School of Physics, Huazhong University of Science and Technology, Wuhan, Hubei 430074,China

会议类型: 国内会议

会议名称: 第七届国际分子模拟与信息技术应用学术会议

会议地点: 苏州

会议语种:英文

页码: 421-421

在线出版日期: 2014-10-26（万方平台首次上网日期，不代表论文的发表时间）