An RNA folding method capable of identifying pseudoknots and base triples. | Zendy

Jack E. Tabaska | Zendy; Robert B. Cary | Zendy; Harold N. Gabow | Zendy; Gary D. Stormo | Zendy

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An RNA folding method capable of identifying pseudoknots and base triples.

Author(s) -

Jack E. Tabaska,

Robert B. Cary,

Harold N. Gabow,

Gary D. Stormo

Publication year - 1998

Publication title -

bioinformatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.599

H-Index - 390

eISSN - 1367-4811

pISSN - 1367-4803

DOI - 10.1093/bioinformatics/14.8.691

Subject(s) - spurious relationship , folding (dsp implementation) , computer science , base pair , base (topology) , matching (statistics) , data mining , rna , algorithm , construct (python library) , computational biology , machine learning , mathematics , biology , statistics , gene , genetics , programming language , mathematical analysis , electrical engineering , engineering

Recently, we described a Maximum Weighted Matching (MWM) method for RNA structure prediction. The MWM method is capable of detecting pseudoknots and other tertiary base-pairing interactions in a computationally efficient manner (Cary and Stormo, Proceedings of the Third International Conference on Intelligent Systems for Molecular Biology, pp. 75-80, 1995). Here we report on the results of our efforts to improve the MWM method's predictive accuracy, and show how the method can be extended to detect base interactions formerly inaccessible to automated RNA modeling techniques.

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