Literature DB >> 17456015

Computing the partition function and sampling for saturated secondary structures of RNA, with respect to the Turner energy model.

J Waldispühl1, P Clote.   

Abstract

An RNA secondary structure is saturated if no base pairs can be added without violating the definition of secondary structure. Here we describe a new algorithm, RNAsat, which for a given RNA sequence a, an integral temperature 0 <or= T <or= 100 in degrees Celsius, and for all integers k, computes the Boltzmann partition function Z(k)(T)(a) = SigmaSepsilonSAT(k)(a) exp(-E(S)/RT), where the sum is over all saturated secondary structures of a which have exactly k base pairs, R is the universal gas constant and E(S) denotes the free energy with respect to the Turner nearest neighbor energy model. By dynamic programming, we compute Z(k)(T)simultaneously for all values of k in time O(n(5)) and space O(n(3)).Additionally, RNAsat computes the partition function Q(k)(T)(a) = SigmaSepsilonS(k)(a) exp(-E(S)/RT), where the sum is over all secondary structures of a which have k base pairs; the latter computation is performed simultaneously for all values of k in O(n(4)) time and O(n(3)) space. Lastly, using the partition function Z(k)(T) [resp. Q(k)(T)] with stochastic backtracking, RNAsat rigorously samples the collection of saturated secondary structures [resp. secondary structures] having k base pairs; for Q(k)(T) this provides a parametrized form of Sfold sampling (Ding and Lawrence, 2003). Using RNAsat, (i) we compute the ensemble free energy for saturated secondary structures having k base pairs, (ii) show cooperativity of the Turner model, (iii) demonstrate a temperature-dependent phase transition, (iv) illustrate the predictive advantage of RNAsat for precursor microRNA cel-mir-72 of C. elegans and for the pseudoknot PKB 00152 of Pseudobase (van Batenburg et al., 2001), (v) illustrate the RNA shapes (Giegerich et al., 2004) of sampled secondary structures [resp. saturated structures] having exactly k base pairs. A web server for RNAsat is under construction at bioinformatics.bc.edu/clotelab/RNAsat/.

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Year:  2007        PMID: 17456015     DOI: 10.1089/cmb.2006.0012

Source DB:  PubMed          Journal:  J Comput Biol        ISSN: 1066-5277            Impact factor:   1.479


  16 in total

1.  Predicting RNA secondary structures with pseudoknots by MCMC sampling.

Authors:  Dirk Metzler; Markus E Nebel
Journal:  J Math Biol       Date:  2007-06-23       Impact factor: 2.259

2.  Introduction to special issue on RNA.

Authors:  Peter Clote
Journal:  J Math Biol       Date:  2008-01       Impact factor: 2.259

3.  Structural effects of linkage disequilibrium on the transcriptome.

Authors:  Joshua S Martin; Matthew Halvorsen; Lauren Davis-Neulander; Justin Ritz; Chetna Gopinath; Arthur Beauregard; Alain Laederach
Journal:  RNA       Date:  2011-11-22       Impact factor: 4.942

4.  Detecting riboSNitches with RNA folding algorithms: a genome-wide benchmark.

Authors:  Meredith Corley; Amanda Solem; Kun Qu; Howard Y Chang; Alain Laederach
Journal:  Nucleic Acids Res       Date:  2015-01-23       Impact factor: 16.971

5.  Evaluation of the information content of RNA structure mapping data for secondary structure prediction.

Authors:  Scott Quarrier; Joshua S Martin; Lauren Davis-Neulander; Arthur Beauregard; Alain Laederach
Journal:  RNA       Date:  2010-04-22       Impact factor: 4.942

6.  RNAmutants: a web server to explore the mutational landscape of RNA secondary structures.

Authors:  Jerome Waldispühl; Srinivas Devadas; Bonnie Berger; Peter Clote
Journal:  Nucleic Acids Res       Date:  2009-06-16       Impact factor: 16.971

7.  Disease-associated mutations that alter the RNA structural ensemble.

Authors:  Matthew Halvorsen; Joshua S Martin; Sam Broadaway; Alain Laederach
Journal:  PLoS Genet       Date:  2010-08-19       Impact factor: 5.917

8.  Cis-acting polymorphisms affect complex traits through modifications of microRNA regulation pathways.

Authors:  Matthias Arnold; Daniel C Ellwanger; Mara L Hartsperger; Arne Pfeufer; Volker Stümpflen
Journal:  PLoS One       Date:  2012-05-11       Impact factor: 3.240

9.  Computing the partition function for kinetically trapped RNA secondary structures.

Authors:  William A Lorenz; Peter Clote
Journal:  PLoS One       Date:  2011-01-28       Impact factor: 3.240

10.  Evaluating our ability to predict the structural disruption of RNA by SNPs.

Authors:  Justin Ritz; Joshua S Martin; Alain Laederach
Journal:  BMC Genomics       Date:  2012-06-18       Impact factor: 3.969

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