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Background: RNA features a highly negatively charged phosphate backbone that attracts a cloud of counter-ions that reduce the electrostatic repulsion in a concentration dependent manner. Ion concentrations thus have a large influence on folding and stability of RNA structures. Despite their well-documented effects, salt effects are not handled consistently by currently available secondary structure prediction algorithms. Combining Debye-Hückel potentials for line charges and Manning's counter-ion condensation theory, Einert et al. (Biophys J 100: 2745-2753, 2011) modeled the energetic contributions of monovalent cations on loops and helices.
Results: The model of Einert et al. is adapted to match the structure of the dynamic programming recursion of RNA secondary structure prediction algorithms. An empirical term describing the salt dependence of the duplex initiation energy is added to improve co-folding predictions for two or more RNA strands. The slightly modified model is implemented in the ViennaRNA package in such way that only the energy parameters but not the algorithmic structure is affected. A comparison with data from the literature show that predicted free energies and melting temperatures are in reasonable agreement with experiments.
Conclusion: The new feature in the ViennaRNA package makes it possible to study effects of salt concentrations on RNA folding in a systematic manner. Strictly speaking, the model pertains only to mono-valent cations, and thus covers the most important parameter, i.e., the NaCl concentration. It remains a question for future research to what extent unspecific effects of bi- and tri-valent cations can be approximated in a similar manner.
Availability: Corrections for the concentration of monovalent cations are available in the ViennaRNA package starting from version 2.6.0.
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http://dx.doi.org/10.1186/s13015-023-00236-0 | DOI Listing |
Adv Exp Med Biol
August 2025
Bioinformatics Group, Department of Computer Science, and Interdisciplinary Center for Bioinformatics, Leipzig University, Leipzig, Germany.
At the level of secondary structure, circular RNAs (circRNAs) can be understood in terms of base pairing, base-pair stacking, and entropic loop contribution in the same way as linear RNAs and intermolecular RNA-RNA interactions. The folding problem of circular RNAs can thus be solved by dynamic programming algorithms in essentially the same manner. In this chapter, we review the similarities and differences between circular and linear RNAs with a focus on the software tools provided by the ViennaRNA package.
View Article and Find Full Text PDFMethods Mol Biol
May 2024
Department of Theoretical Chemistry, University of Vienna, Vienna, Austria.
Nucleotide modifications are occurrent in all types of RNA and play an important role in RNA structure formation and stability. Modified bases not only possess the ability to shift the RNA structure ensemble towards desired functional confirmations. By changes in the base pairing partner preference, they may even enlarge or reduce the conformational space, i.
View Article and Find Full Text PDFBioinformatics
November 2023
Department of Theoretical Chemistry, University of Vienna, Vienna 1090, Austria.
Motivation: In living organisms, many RNA molecules are modified post-transcriptionally. This turns the widely known four-letter RNA alphabet ACGU into a much larger one with currently more than 300 known distinct modified bases. The roles for the majority of modified bases remain uncertain, but many are already well-known for their ability to influence the preferred structures that an RNA may adopt.
View Article and Find Full Text PDFJ Bioinform Comput Biol
August 2023
Institute of Computer Science and Interdisciplinary Center for Bioinformatics, Leipzig University, Härtelstraße 16-18, D-04107 Leipzig, Germany.
Most of the functional RNA elements located within large transcripts are local. Local folding therefore serves a practically useful approximation to global structure prediction. Due to the sensitivity of RNA secondary structure prediction to the exact definition of sequence ends, accuracy can be increased by averaging local structure predictions over multiple, overlapping sequence windows.
View Article and Find Full Text PDFAlgorithms Mol Biol
July 2023
Department of Theoretical Chemistry, University of Vienna, Währinger Straße 17, 1090, Vienna, Austria.
Background: RNA features a highly negatively charged phosphate backbone that attracts a cloud of counter-ions that reduce the electrostatic repulsion in a concentration dependent manner. Ion concentrations thus have a large influence on folding and stability of RNA structures. Despite their well-documented effects, salt effects are not handled consistently by currently available secondary structure prediction algorithms.
View Article and Find Full Text PDF