标题:Prediction and Dissection of Protein-RNA Interactions by Molecular Descriptors
作者:Liu, Zhi-Ping; Chen, Luonan
作者机构:[Liu, Zhi-Ping] Shandong Univ, Sch Control Sci & Engn, Dept Biomed Engn, Jinan 250061, Shandong, Peoples R China.; [Chen, Luonan] Chinese Acad Sci, 更多
通讯作者:Chen, LN
通讯作者地址:[Chen, LN]Chinese Acad Sci, Key Lab Syst Biol, Shanghai, Peoples R China.
来源:CURRENT TOPICS IN MEDICINAL CHEMISTRY
出版年:2016
卷:16
期:6
页码:604-615
DOI:10.2174/1568026615666150819110703
关键词:Bioinformatics; Molecular descriptor; Prediction; Protein-RNA; interaction; Protein-RNA recognition
摘要:Protein-RNA interactions play crucial roles in numerous biological processes. However, detecting the interactions and binding sites between protein and RNA by traditional experiments is still time consuming and labor costing. Thus, it is of importance to develop bioinformatics methods for predicting protein-RNA interactions and binding sites. Accurate prediction of protein-RNA interactions and recognitions will highly benefit to decipher the interaction mechanisms between protein and RNA, as well as to improve the RNA-related protein engineering and drug design. In this work, we summarize the current bioinformatics strategies of predicting protein-RNA interactions and dissecting protein-RNA interaction mechanisms from local structure binding motifs. In particular, we focus on the feature-based machine learning methods, in which the molecular descriptors of protein and RNA are extracted and integrated as feature vectors of representing the interaction events and recognition residues. In addition, the available methods are classified and compared comprehensively. The molecular descriptors are expected to elucidate the binding mechanisms of protein-RNA interaction and reveal the functional implications from structural complementary perspective.
收录类别:SCOPUS;SCIE
WOS核心被引频次:3
Scopus被引频次:3
资源类型:期刊论文
原文链接:https://www.scopus.com/inward/record.uri?eid=2-s2.0-84962581305&partnerID=40&md5=f61d17676c5281f8c3445c0b11516605
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