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Transient RNA structure features are evolutionarily conserved and can be computationally predicted
Functional RNA structures tend to be conserved during evolution. This finding is, for example, exploited by comparative methods for RNA secondary structure prediction that currently provide the state-of-art in terms of prediction accuracy. We here provide strong evidence that homologous RNA genes no...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2013
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3695514/ https://www.ncbi.nlm.nih.gov/pubmed/23625966 http://dx.doi.org/10.1093/nar/gkt319 |
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author | Zhu, Jing Yun A. Steif, Adi Proctor, Jeff R. Meyer, Irmtraud M. |
author_facet | Zhu, Jing Yun A. Steif, Adi Proctor, Jeff R. Meyer, Irmtraud M. |
author_sort | Zhu, Jing Yun A. |
collection | PubMed |
description | Functional RNA structures tend to be conserved during evolution. This finding is, for example, exploited by comparative methods for RNA secondary structure prediction that currently provide the state-of-art in terms of prediction accuracy. We here provide strong evidence that homologous RNA genes not only fold into similar final RNA structures, but that their folding pathways also share common transient structural features that have been evolutionarily conserved. For this, we compile and investigate a non-redundant data set of 32 sequences with known transient and final RNA secondary structures and devise a dedicated computational analysis pipeline. |
format | Online Article Text |
id | pubmed-3695514 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-36955142013-06-28 Transient RNA structure features are evolutionarily conserved and can be computationally predicted Zhu, Jing Yun A. Steif, Adi Proctor, Jeff R. Meyer, Irmtraud M. Nucleic Acids Res RNA Functional RNA structures tend to be conserved during evolution. This finding is, for example, exploited by comparative methods for RNA secondary structure prediction that currently provide the state-of-art in terms of prediction accuracy. We here provide strong evidence that homologous RNA genes not only fold into similar final RNA structures, but that their folding pathways also share common transient structural features that have been evolutionarily conserved. For this, we compile and investigate a non-redundant data set of 32 sequences with known transient and final RNA secondary structures and devise a dedicated computational analysis pipeline. Oxford University Press 2013-07 2013-04-26 /pmc/articles/PMC3695514/ /pubmed/23625966 http://dx.doi.org/10.1093/nar/gkt319 Text en © The Author(s) 2013. 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 non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com |
spellingShingle | RNA Zhu, Jing Yun A. Steif, Adi Proctor, Jeff R. Meyer, Irmtraud M. Transient RNA structure features are evolutionarily conserved and can be computationally predicted |
title | Transient RNA structure features are evolutionarily conserved and can be computationally predicted |
title_full | Transient RNA structure features are evolutionarily conserved and can be computationally predicted |
title_fullStr | Transient RNA structure features are evolutionarily conserved and can be computationally predicted |
title_full_unstemmed | Transient RNA structure features are evolutionarily conserved and can be computationally predicted |
title_short | Transient RNA structure features are evolutionarily conserved and can be computationally predicted |
title_sort | transient rna structure features are evolutionarily conserved and can be computationally predicted |
topic | RNA |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3695514/ https://www.ncbi.nlm.nih.gov/pubmed/23625966 http://dx.doi.org/10.1093/nar/gkt319 |
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