Automated prediction of three-way junction topological families in RNA secondary structures

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• 作者：Alexis Lamiable^a ; ^b ; Dominique Barth^a ; Alain Denise^b ; ^c ; ^e ; ^{alain.denise@u-psud.fr} ; ^{alain.denise@lri.fr} ; Franck Quessette^a ; Sandrine Vial^a ; É ; ric Westhof^d
• 关键词：RNA tertiary structure ; Three-way junctions ; Prediction
• 刊名：Computational Biology and Chemistry
• 出版年：2012
• 期刊代码：120_14769271
• 类别：ch
• 出版时间：April, 2012
• 卷：37
• 期：Complete
• 页码：1-5
• 文件大小：681 K

摘要

We present an algorithm for automatically predicting the topological family of any RNA three-way junction, given only the information from the secondary structure: the sequence and the Watson-Crick pairings. The parameters of the algorithm have been determined on a data set of 33 three-way junctions whose 3D conformation is known. We applied the algorithm on 53 other junctions and compared the predictions to the real shape of those junctions. We show that the correct answer is selected out of nine possible configurations 64%of the time. Additionally, these results are noticeably improved if homology information is used. The resulting software, Cartaj, is available online and downloadable (with source) at: .