Dataset Information

RactIP: fast and accurate prediction of RNA-RNA interaction using integer programming.

ABSTRACT:

Motivation

Considerable attention has been focused on predicting RNA-RNA interaction since it is a key to identifying possible targets of non-coding small RNAs that regulate gene expression post-transcriptionally. A number of computational studies have so far been devoted to predicting joint secondary structures or binding sites under a specific class of interactions. In general, there is a trade-off between range of interaction type and efficiency of a prediction algorithm, and thus efficient computational methods for predicting comprehensive type of interaction are still awaited.

Results

We present RactIP, a fast and accurate prediction method for RNA-RNA interaction of general type using integer programming. RactIP can integrate approximate information on an ensemble of equilibrium joint structures into the objective function of integer programming using posterior internal and external base-paring probabilities. Experimental results on real interaction data show that prediction accuracy of RactIP is at least comparable to that of several state-of-the-art methods for RNA-RNA interaction prediction. Moreover, we demonstrate that RactIP can run incomparably faster than competitive methods for predicting joint secondary structures.

Availability

RactIP is implemented in C++, and the source code is available at http://www.ncrna.org/software/ractip/.

SUBMITTER: Kato Y

PROVIDER: S-EPMC2935440 | biostudies-literature | 2010 Sep

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

RactIP: fast and accurate prediction of RNA-RNA interaction using integer programming.

Kato Yuki Y Sato Kengo K Hamada Michiaki M Watanabe Yoshihide Y Asai Kiyoshi K Akutsu Tatsuya T

Bioinformatics (Oxford, England) 20100901 18

<h4>Motivation</h4>Considerable attention has been focused on predicting RNA-RNA interaction since it is a key to identifying possible targets of non-coding small RNAs that regulate gene expression post-transcriptionally. A number of computational studies have so far been devoted to predicting joint secondary structures or binding sites under a specific class of interactions. In general, there is a trade-off between range of interaction type and efficiency of a prediction algorithm, and thus eff ...[more]

PMID: 20823308

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Dataset Information

RactIP: fast and accurate prediction of RNA-RNA interaction using integer programming.

Motivation

Results

Availability

Publications

RactIP: fast and accurate prediction of RNA-RNA interaction using integer programming.

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