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Rsite: a computational method to identify the functional sites of noncoding RNAs

There is an increasing demand for identifying the functional sites of noncoding RNAs (ncRNAs). Here we introduce a tertiary-structure based computational approach, Rsite, which first calculates the Euclidean distances between each nucleotide and all the other nucleotides in a RNA molecule and then d...

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Detalles Bibliográficos
Autores principales: Zeng, Pan, Li, Jianwei, Ma, Wei, Cui, Qinghua
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4361870/
https://www.ncbi.nlm.nih.gov/pubmed/25776805
http://dx.doi.org/10.1038/srep09179
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author Zeng, Pan
Li, Jianwei
Ma, Wei
Cui, Qinghua
author_facet Zeng, Pan
Li, Jianwei
Ma, Wei
Cui, Qinghua
author_sort Zeng, Pan
collection PubMed
description There is an increasing demand for identifying the functional sites of noncoding RNAs (ncRNAs). Here we introduce a tertiary-structure based computational approach, Rsite, which first calculates the Euclidean distances between each nucleotide and all the other nucleotides in a RNA molecule and then determines the nucleotides that are the extreme points in the distance curve as the functional sites. By analyzing two ncRNAs, tRNA (Lys) and Diels-Alder ribozyme, we demonstrated the efficiency of Rsite. As a result, Rsite recognized all of the known functional sites of the two ncRNAs, suggesting that Rsite could be a potentially useful tool for discovering the functional sites of ncRNAs. The source codes and data sets of Rsite are available at http://www.cuilab.cn/rsite.
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spelling pubmed-43618702015-03-19 Rsite: a computational method to identify the functional sites of noncoding RNAs Zeng, Pan Li, Jianwei Ma, Wei Cui, Qinghua Sci Rep Article There is an increasing demand for identifying the functional sites of noncoding RNAs (ncRNAs). Here we introduce a tertiary-structure based computational approach, Rsite, which first calculates the Euclidean distances between each nucleotide and all the other nucleotides in a RNA molecule and then determines the nucleotides that are the extreme points in the distance curve as the functional sites. By analyzing two ncRNAs, tRNA (Lys) and Diels-Alder ribozyme, we demonstrated the efficiency of Rsite. As a result, Rsite recognized all of the known functional sites of the two ncRNAs, suggesting that Rsite could be a potentially useful tool for discovering the functional sites of ncRNAs. The source codes and data sets of Rsite are available at http://www.cuilab.cn/rsite. Nature Publishing Group 2015-03-17 /pmc/articles/PMC4361870/ /pubmed/25776805 http://dx.doi.org/10.1038/srep09179 Text en Copyright © 2015, Macmillan Publishers Limited. All rights reserved http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article's Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder in order to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/
spellingShingle Article
Zeng, Pan
Li, Jianwei
Ma, Wei
Cui, Qinghua
Rsite: a computational method to identify the functional sites of noncoding RNAs
title Rsite: a computational method to identify the functional sites of noncoding RNAs
title_full Rsite: a computational method to identify the functional sites of noncoding RNAs
title_fullStr Rsite: a computational method to identify the functional sites of noncoding RNAs
title_full_unstemmed Rsite: a computational method to identify the functional sites of noncoding RNAs
title_short Rsite: a computational method to identify the functional sites of noncoding RNAs
title_sort rsite: a computational method to identify the functional sites of noncoding rnas
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4361870/
https://www.ncbi.nlm.nih.gov/pubmed/25776805
http://dx.doi.org/10.1038/srep09179
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