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R3D-BLAST2: an improved search tool for similar RNA 3D substructures

BACKGROUND: RNA molecules have been known to play a variety of significant roles in cells. In principle, the functions of RNAs are largely determined by their three-dimensional (3D) structures. As more and more RNA 3D structures are available in the Protein Data Bank (PDB), a bioinformatics tool, wh...

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Autores principales: Yen, Ching-Yu, Lin, Jian-Cheng, Chen, Kun-Tze, Lu, Chin Lung
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5751785/
https://www.ncbi.nlm.nih.gov/pubmed/29297283
http://dx.doi.org/10.1186/s12859-017-1956-6
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author Yen, Ching-Yu
Lin, Jian-Cheng
Chen, Kun-Tze
Lu, Chin Lung
author_facet Yen, Ching-Yu
Lin, Jian-Cheng
Chen, Kun-Tze
Lu, Chin Lung
author_sort Yen, Ching-Yu
collection PubMed
description BACKGROUND: RNA molecules have been known to play a variety of significant roles in cells. In principle, the functions of RNAs are largely determined by their three-dimensional (3D) structures. As more and more RNA 3D structures are available in the Protein Data Bank (PDB), a bioinformatics tool, which is able to rapidly and accurately search the PDB database for similar RNA 3D structures or substructures, is helpful to understand the structural and functional relationships of RNAs. RESULTS: Since its first release in 2011, R3D-BLAST has become a useful tool for searching the PDB database for similar RNA 3D structures and substructures. It was implemented by a structural-alphabet (SA)-based method, which utilizes an SA with 23 structural letters to encode RNA 3D structures into one-dimensional (1D) structural sequences and applies BLAST to the resulting structural sequences for searching similar substructures of RNAs. In this study, we have upgraded R3D-BLAST to develop a new web server named R3D-BLAST2 based on a higher quality SA newly constructed from a representative and sufficiently non-redundant list of RNA 3D structures. In addition, we have modified the kernel program in R3D-BLAST2 so that it can accept an RNA structure in the mmCIF format as an input. The results of our experiments on a benchmark dataset have demonstrated that R3D-BLAST2 indeed performs very well in comparison to its earlier version R3D-BLAST and other similar tools RNA FRABASE, FASTR3D and RAG-3D by searching a larger number of RNA 3D substructures resembling those of the input RNA. CONCLUSIONS: R3D-BLAST2 is a valuable BLAST-like search tool that can more accurately scan the PDB database for similar RNA 3D substructures. It is publicly available at http://genome.cs.nthu.edu.tw/R3D-BLAST2/.
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spelling pubmed-57517852018-01-05 R3D-BLAST2: an improved search tool for similar RNA 3D substructures Yen, Ching-Yu Lin, Jian-Cheng Chen, Kun-Tze Lu, Chin Lung BMC Bioinformatics Research BACKGROUND: RNA molecules have been known to play a variety of significant roles in cells. In principle, the functions of RNAs are largely determined by their three-dimensional (3D) structures. As more and more RNA 3D structures are available in the Protein Data Bank (PDB), a bioinformatics tool, which is able to rapidly and accurately search the PDB database for similar RNA 3D structures or substructures, is helpful to understand the structural and functional relationships of RNAs. RESULTS: Since its first release in 2011, R3D-BLAST has become a useful tool for searching the PDB database for similar RNA 3D structures and substructures. It was implemented by a structural-alphabet (SA)-based method, which utilizes an SA with 23 structural letters to encode RNA 3D structures into one-dimensional (1D) structural sequences and applies BLAST to the resulting structural sequences for searching similar substructures of RNAs. In this study, we have upgraded R3D-BLAST to develop a new web server named R3D-BLAST2 based on a higher quality SA newly constructed from a representative and sufficiently non-redundant list of RNA 3D structures. In addition, we have modified the kernel program in R3D-BLAST2 so that it can accept an RNA structure in the mmCIF format as an input. The results of our experiments on a benchmark dataset have demonstrated that R3D-BLAST2 indeed performs very well in comparison to its earlier version R3D-BLAST and other similar tools RNA FRABASE, FASTR3D and RAG-3D by searching a larger number of RNA 3D substructures resembling those of the input RNA. CONCLUSIONS: R3D-BLAST2 is a valuable BLAST-like search tool that can more accurately scan the PDB database for similar RNA 3D substructures. It is publicly available at http://genome.cs.nthu.edu.tw/R3D-BLAST2/. BioMed Central 2017-12-28 /pmc/articles/PMC5751785/ /pubmed/29297283 http://dx.doi.org/10.1186/s12859-017-1956-6 Text en © The Author(s) 2017 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License(http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver(http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research
Yen, Ching-Yu
Lin, Jian-Cheng
Chen, Kun-Tze
Lu, Chin Lung
R3D-BLAST2: an improved search tool for similar RNA 3D substructures
title R3D-BLAST2: an improved search tool for similar RNA 3D substructures
title_full R3D-BLAST2: an improved search tool for similar RNA 3D substructures
title_fullStr R3D-BLAST2: an improved search tool for similar RNA 3D substructures
title_full_unstemmed R3D-BLAST2: an improved search tool for similar RNA 3D substructures
title_short R3D-BLAST2: an improved search tool for similar RNA 3D substructures
title_sort r3d-blast2: an improved search tool for similar rna 3d substructures
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5751785/
https://www.ncbi.nlm.nih.gov/pubmed/29297283
http://dx.doi.org/10.1186/s12859-017-1956-6
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