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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...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2012
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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. |
format | Online Article Text |
id | pubmed-3259437 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2012 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
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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