Evidence map›Paper›PMID 16722605›Full record

ArticleAlgorithms for molecular biology : AMB2006

Partition function and base pairing probabilities of RNA heterodimers.

Stephan H Bernhart, Hakim Tafer, Ulrike Mückstein, Christoph Flamm, Peter F Stadler, Ivo L Hofacker

Abstract read
In one paragraph

Article in Algorithms for molecular biology : AMB, 2006. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 140 papers.

0numbers the graph read from it
0cells of the map it votes in
140citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

140 citing papers in PubMed.

  1. In silico unwinding ofRNA biology · 2026
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  7. RNA Structure and Its Function.Methods in molecular biology (Clifton, N.J.) · 2026
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  17. RNA encodes physical information.bioRxiv : the preprint server for biology · 2024
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  19. Review
  20. Article

80 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Stephan H BernhartTheoretical Biochemistry Group, Institute for Theoretical Chemistry, University of Vienna, Währingerstrasse 17, Vienna, Austria. berni@tbi.univie.ac.at
Hakim Tafer
Ulrike Mückstein
Christoph Flamm
Peter F Stadler
Ivo L Hofacker

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRNA has been recognized as a key player in cellular regulation in recent years. In many cases, non-coding RNAs exert their function by binding to other nucleic acids, as in the case of microRNAs and snoRNAs. The specificity of these interactions derives from the stability of inter-molecular base pairing. The accurate computational treatment of RNA-RNA binding therefore lies at the heart of target prediction algorithms.

methodsThe standard dynamic programming algorithms for computing secondary structures of linear single-stranded RNA molecules are extended to the co-folding of two interacting RNAs.

resultsWe present a program, RNAcofold, that computes the hybridization energy and base pairing pattern of a pair of interacting RNA molecules. In contrast to earlier approaches, complex internal structures in both RNAs are fully taken into account. RNAcofold supports the calculation of the minimum energy structure and of a complete set of suboptimal structures in an energy band above the ground state. Furthermore, it provides an extension of McCaskill's partition function algorithm to compute base pairing probabilities, realistic interaction energies, and equilibrium concentrations of duplex structures.

Identifiers

PMID16722605
PMCPMC1459172

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