PRNA: Prediction of protein-RNA interactions and binding sites by machine learning methods

• 作 者: 刘治平
• 机 构: 生物医学工程系,控制科学与工程学院,山东大学,济南市,山东省250061
• 出 处: 第六届全国生物信息学与系统生物学学术大会暨国际生物信息学前沿研讨会
• 发表日期: 2014年4期
• 关键词: Protein-RNA interaction prediction binding feature machine learning

　　Background: Protein-RNA interactions play crucial roles in numerous biological processes.While detecting the interactions and binding sites between protein and RNA by traditional experiments are still time consuming and costing.It is valuable to propose feature-based computational methods to predict the protein-RNA interactions and binding residues.Accurate prediction of protein-RNA interaction will highly benefit the wet experimental design and decipher the interaction mechanisms between protein and RNA.