Incorporating Statistical Characters of Amino Acid for the Prediction of RNA-Protein Interface Residue

摘要：

BackgroundProtein-RNA interactions play essential roles in a number of regulatory mechanisms for gene expression such as RNA splicing, transport, translation and post-transcriptional control1. A number of researchers have conducted their studies for predicting computationally the interface residues of Protein-RNA interactions2, 3. These methods can broadly fell into two categories: Scoring-based one and machine learning based one, to both of which the key is to choose the appreciate candidate feature subset. Many experimental results show that adding more chemical/physical characters of amino acid can not help the performance improvement in computation methods4,5.

作者: Xiujun GONG Xinmi LIU Hua YU

作者单位: School of Computer Science and Technology, Tianjin University, Tianjin, China

会议类型: 国际会议

会议名称: The 7th Asia-Pacific Bioinformatics Conference(第七届亚太生物信息学大会)

会议地点: 北京

会议语种:英文

页码: 862

在线出版日期: 2009-01-01（万方平台首次上网日期，不代表论文的发表时间）