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MetalionRNA: computational predictor of metal-binding sites in RNA structures

Motivation: Metal ions are essential for the folding of RNA molecules into stable tertiary structures and are often involved in the catalytic activity of ribozymes. However, the positions of metal ions in RNA 3D structures are difficult to determine experimentally. This motivated us to develop a com...

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Detalles Bibliográficos
Autores principales: Philips, Anna, Milanowska, Kaja, Lach, Grzegorz, Boniecki, Michal, Rother, Kristian, Bujnicki, Janusz M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3259437/
https://www.ncbi.nlm.nih.gov/pubmed/22110243
http://dx.doi.org/10.1093/bioinformatics/btr636
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author Philips, Anna
Milanowska, Kaja
Lach, Grzegorz
Boniecki, Michal
Rother, Kristian
Bujnicki, Janusz M.
author_facet Philips, Anna
Milanowska, Kaja
Lach, Grzegorz
Boniecki, Michal
Rother, Kristian
Bujnicki, Janusz M.
author_sort Philips, Anna
collection PubMed
description Motivation: Metal ions are essential for the folding of RNA molecules into stable tertiary structures and are often involved in the catalytic activity of ribozymes. However, the positions of metal ions in RNA 3D structures are difficult to determine experimentally. This motivated us to develop a computational predictor of metal ion sites for RNA structures. Results: We developed a statistical potential for predicting positions of metal ions (magnesium, sodium and potassium), based on the analysis of binding sites in experimentally solved RNA structures. The MetalionRNA program is available as a web server that predicts metal ions for RNA structures submitted by the user. Availability: The MetalionRNA web server is accessible at http://metalionrna.genesilico.pl/. Contact: iamb@genesilico.pl Supplementary information: Supplementary data are available at Bioinformatics online.
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spelling pubmed-32594372012-01-17 MetalionRNA: computational predictor of metal-binding sites in RNA structures Philips, Anna Milanowska, Kaja Lach, Grzegorz Boniecki, Michal Rother, Kristian Bujnicki, Janusz M. Bioinformatics Original Papers Motivation: Metal ions are essential for the folding of RNA molecules into stable tertiary structures and are often involved in the catalytic activity of ribozymes. However, the positions of metal ions in RNA 3D structures are difficult to determine experimentally. This motivated us to develop a computational predictor of metal ion sites for RNA structures. Results: We developed a statistical potential for predicting positions of metal ions (magnesium, sodium and potassium), based on the analysis of binding sites in experimentally solved RNA structures. The MetalionRNA program is available as a web server that predicts metal ions for RNA structures submitted by the user. Availability: The MetalionRNA web server is accessible at http://metalionrna.genesilico.pl/. Contact: iamb@genesilico.pl Supplementary information: Supplementary data are available at Bioinformatics online. Oxford University Press 2012-01-15 2011-11-21 /pmc/articles/PMC3259437/ /pubmed/22110243 http://dx.doi.org/10.1093/bioinformatics/btr636 Text en © The Author(s) 2011. Published by Oxford University Press. http://creativecommons.org/licenses/by-nc/3.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0), which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Papers
Philips, Anna
Milanowska, Kaja
Lach, Grzegorz
Boniecki, Michal
Rother, Kristian
Bujnicki, Janusz M.
MetalionRNA: computational predictor of metal-binding sites in RNA structures
title MetalionRNA: computational predictor of metal-binding sites in RNA structures
title_full MetalionRNA: computational predictor of metal-binding sites in RNA structures
title_fullStr MetalionRNA: computational predictor of metal-binding sites in RNA structures
title_full_unstemmed MetalionRNA: computational predictor of metal-binding sites in RNA structures
title_short MetalionRNA: computational predictor of metal-binding sites in RNA structures
title_sort metalionrna: computational predictor of metal-binding sites in rna structures
topic Original Papers
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3259437/
https://www.ncbi.nlm.nih.gov/pubmed/22110243
http://dx.doi.org/10.1093/bioinformatics/btr636
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