A SVM-based predictor for RNA-binding protein prediction

• 作 者: Xiaoli Zhang Shiyong Liu
• 机 构: School of Physics, Huazhong University of Science and Technology, Wuhan, Hubei 430074,China
• 出 处: 第七届国际分子模拟与信息技术应用学术会议
• 发表日期: 2014年3期

　　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.