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Energy Parameters and Novel Algorithms for an Extended Nearest Neighbor Energy Model of RNA

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  • Ivan Dotu
  • Vinodh Mechery
  • Peter Clote

Abstract

We describe the first algorithm and software, RNAenn, to compute the partition function and minimum free energy secondary structure for RNA with respect to an extended nearest neighbor energy model. Our next-nearest-neighbor triplet energy model appears to lead to somewhat more cooperative folding than does the nearest neighbor energy model, as judged by melting curves computed with RNAenn and with two popular software implementations for the nearest-neighbor energy model. A web server is available at http://bioinformatics.bc.edu/clotelab/RNAenn/.

Suggested Citation

  • Ivan Dotu & Vinodh Mechery & Peter Clote, 2014. "Energy Parameters and Novel Algorithms for an Extended Nearest Neighbor Energy Model of RNA," PLOS ONE, Public Library of Science, vol. 9(2), pages 1-14, February.
    • Handle: RePEc:plo:pone00:0085412
    DOI: 10.1371/journal.pone.0085412
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    References listed on IDEAS

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    1. Hilal Kazan & Debashish Ray & Esther T Chan & Timothy R Hughes & Quaid Morris, 2010. "RNAcontext: A New Method for Learning the Sequence and Structure Binding Preferences of RNA-Binding Proteins," PLOS Computational Biology, Public Library of Science, vol. 6(7), pages 1-10, July.
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