CoDNaS-RNA: A database of conformational diversity in the native state of RNA

dc.contributor.affiliationPontificia Universidad Católica del Perú. Departamento de Ciencias
dc.contributor.authorGonzález Buitrón, M.
dc.contributor.authorTunque Cahui, R.R.T.
dc.contributor.authorGarcia-Rios, E.
dc.contributor.authorHirsh, L.
dc.contributor.authorParisi, G.
dc.contributor.authorFornasari, M.S.
dc.contributor.authorPalopoli, N.
dc.date.accessioned2026-03-13T16:57:37Z
dc.date.issued2022
dc.description.abstractAbstract Summary Conformational changes in RNA native ensembles are central to fulfill many of their biological roles. Systematic knowledge of the extent and possible modulators of this conformational diversity is desirable to better understand the relationship between RNA dynamics and function. We have developed CoDNaS-RNA as the first database of conformational diversity in RNA molecules. Known RNA structures are retrieved and clustered to identify alternative conformers of each molecule. Pairwise structural comparisons between all conformers within each cluster allows to measure the variability of the molecule. Additional annotations about structural features, molecular interactions and biological function are provided. All data in CoDNaS-RNA is free to download and available as a public website that can be of interest for researchers in computational biology and other life science disciplines. Availability and implementation The data underlying this article are available at http://ufq.unq.edu.ar/codnasrna or https://codnas-rna.bioinformatica.org/. Supplementary information Supplementary data are available at Bioinformatics online.
dc.description.sponsorshipFunding: This work was supported by Universidad Nacional de Quilmes [PUNQ 1309/19]; Agencia Nacional de Promocio´n de la Investigacio´ n, el Desarrollo Tecnolo´ gico y la Innovacio´ n [PICT-2018 3457]; and Consejo Nacional de Investigaciones Cientıficas y Tecnicas (CONICET) [PIP-2015-2017 11220150100853CO] from Argentina. M.G.B. is a PhD Fellow and M.S.F., G.P. and N.P. are Researchers from CONICET.
dc.identifier.doihttps://doi.org/10.1093/bioinformatics/btab858
dc.identifier.urihttp://hdl.handle.net/20.500.14657/205623
dc.language.isoeng
dc.publisherOxford University Press
dc.relation.ispartofurn:issn:1367-4803
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.sourceBioinformatics; Vol. 38, Núm. 6 (2022)
dc.subjectRNA
dc.subjectComputational biology
dc.subjectPairwise comparison
dc.subjectFunction (biology)
dc.subjectConformational isomerism
dc.subjectConformational ensembles
dc.subjectSimilarity (geometry)
dc.subjectComputer science
dc.subjectDatabase
dc.subjectBiology
dc.subjectMolecule
dc.subjectChemistry
dc.subjectProtein structure
dc.subjectBiochemistry
dc.subjectGenetics
dc.subjectArtificial intelligence
dc.subjectGene
dc.subject.ocdehttps://purl.org/pe-repo/ocde/ford#1.06.00
dc.titleCoDNaS-RNA: A database of conformational diversity in the native state of RNA
dc.typehttp://purl.org/coar/resource_type/c_6501
dc.type.otherArtículo
dc.type.versionhttps://vocabularies.coar-repositories.org/version_types/c_970fb48d4fbd8a85/

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