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  • 标题:Computational Tools for Investigating RNA-Protein Interaction Partners
  • 作者:Usha K Muppirala ; Benjamin A Lewis ; Drena Dobbs
  • 期刊名称:Journal of Computer Science & Systems Biology
  • 印刷版ISSN:0974-7230
  • 出版年度:2013
  • 卷号:6
  • 期号:4
  • 页码:182-187
  • DOI:10.4172/jcsb.1000115
  • 出版社:OMICS Publishing Group
  • 摘要:RNA-protein interactions are important in a wide variety of cellular and developmental processes. Recently, high-throughput experiments have begun to provide valuable information about RNA partners and binding sites for many RNA-binding proteins (RBPs), but these experiments are expensive and time consuming. Thus, computational methods for predicting RNA-Protein interactions (RPIs) can be valuable tools for identifying potential interaction partners of a given protein or RNA, and for identifying likely interfacial residues in RNA-protein complexes. This review focuses on the “partner prediction” problem and summarizes available computational methods, web servers and databases that are devoted to it. New computational tools for addressing the related “interface prediction” problem are also discussed. Together, these computational methods for investigating RNA-protein interactions provide the basis for new strategies for integrating RNA-protein interactions into existing genetic and developmental regulatory networks, an important goal of future research.
  • 关键词:RNA-protein interaction; RNA-binding protein; Partner prediction; Interface prediction; RNA-protein database
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