INFO-RNA—a fast approach to inverse RNA folding

Motivation: The structure of RNA molecules is often crucial for their function. Therefore, secondary structure prediction has gained much interest. Here, we consider the inverse RNA folding problem, which means designing RNA sequences that fold into a given structure. Results: We introduce a new alg...

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Bibliographic Details
Published inBioinformatics Vol. 22; no. 15; pp. 1823 - 1831
Main Authors Busch, Anke, Backofen, Rolf
Format Journal Article
LanguageEnglish
Published Oxford Oxford University Press 01.08.2006
Oxford Publishing Limited (England)
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ISSN1367-4803
1367-4811
1460-2059
1367-4811
DOI10.1093/bioinformatics/btl194

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Summary:Motivation: The structure of RNA molecules is often crucial for their function. Therefore, secondary structure prediction has gained much interest. Here, we consider the inverse RNA folding problem, which means designing RNA sequences that fold into a given structure. Results: We introduce a new algorithm for the inverse folding problem (INFO-RNA) that consists of two parts; a dynamic programming method for good initial sequences and a following improved stochastic local search that uses an effective neighbor selection method. During the initialization, we design a sequence that among all sequences adopts the given structure with the lowest possible energy. For the selection of neighbors during the search, we use a kind of look-ahead of one selection step applying an additional energy-based criterion. Afterwards, the pre-ordered neighbors are tested using the actual optimization criterion of minimizing the structure distance between the target structure and the mfe structure of the considered neighbor. We compared our algorithm to RNAinverse and RNA-SSD for artificial and biological test sets. Using INFO-RNA, we performed better than RNAinverse and in most cases, we gained better results than RNA-SSD, the probably best inverse RNA folding tool on the market. Availability: Contact:backofen@informatik.uni-freiburg.de Supplementary information: Supplementary data are available on Bioinformatics online.
Bibliography:ark:/67375/HXZ-HQ06PDHS-7
To whom correspondence should be addressed.
istex:D7424B29D3898253FE54182F414036F3E7AB3B7D
Associate Editor: Martin Bishop
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ISSN:1367-4803
1367-4811
1460-2059
1367-4811
DOI:10.1093/bioinformatics/btl194