Evidence map›Paper›PMID 34108470›Full record

ArticleNature communications2021

R2DT is a framework for predicting and visualising RNA secondary structure using templates.

Blake A Sweeney, David Hoksza, Eric P Nawrocki, Carlos Eduardo Ribas, Fábio Madeira, Jamie J Cannone, Robin Gutell, Aparna Maddala, Caeden D Meade, Loren Dean Williams and 5 more

Open access · goldAbstract read
In one paragraph

Article in Nature communications, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 79 papers.

0numbers the graph read from it
0cells of the map it votes in
79citing papers in PubMed
9.3field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

79 citing papers in PubMed, 141 citations in OpenAlex.

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19 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

15 authors at 6 institutions in 4 countries.

Blake A Sweeney *European Molecular Biology Laboratory, European Bioinformatics Institute, Cambridge, UK.
David Hoksza *Department of Software Engineering, Faculty of Mathematics and Physics, Charles University, Prague, Czech Republic.ORCID http://orcid.org/0000-0003-4679-0557
Eric P NawrockiNational Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, MD, USA.
Carlos Eduardo RibasEuropean Molecular Biology Laboratory, European Bioinformatics Institute, Cambridge, UK.ORCID http://orcid.org/0000-0002-9572-273X
Fábio MadeiraEuropean Molecular Biology Laboratory, European Bioinformatics Institute, Cambridge, UK.ORCID http://orcid.org/0000-0001-8728-9449
Jamie J CannoneDepartment of Integrative Biology, The University of Texas at Austin, Austin, TX, USA.
Robin GutellDepartment of Integrative Biology, The University of Texas at Austin, Austin, TX, USA.
Aparna MaddalaSchool of Chemistry and Biochemistry, Center for the Origins of Life, Georgia Institute of Technology, Atlanta, GA, USA.
Caeden D MeadeSchool of Chemistry and Biochemistry, Center for the Origins of Life, Georgia Institute of Technology, Atlanta, GA, USA.
Loren Dean WilliamsSchool of Chemistry and Biochemistry, Center for the Origins of Life, Georgia Institute of Technology, Atlanta, GA, USA.ORCID http://orcid.org/0000-0002-7215-4194
Anton S PetrovSchool of Chemistry and Biochemistry, Center for the Origins of Life, Georgia Institute of Technology, Atlanta, GA, USA.ORCID http://orcid.org/0000-0003-3359-7299
Patricia P ChanDepartment of Biomolecular Engineering, University of California Santa Cruz, Santa Cruz, CA, USA.ORCID http://orcid.org/0000-0003-0810-1642
Todd M LoweDepartment of Biomolecular Engineering, University of California Santa Cruz, Santa Cruz, CA, USA.
Robert D FinnEuropean Molecular Biology Laboratory, European Bioinformatics Institute, Cambridge, UK.ORCID http://orcid.org/0000-0001-8626-2148
Anton I PetrovEuropean Molecular Biology Laboratory, European Bioinformatics Institute, Cambridge, UK. apetrov@ebi.ac.uk.ORCID http://orcid.org/0000-0001-7279-2682
European Bioinformatics Institute · GBGeorgia Institute of Technology · USThe University of Texas at Austin · USUniversity of California, Santa Cruz · USCharles University · CZNational Institutes of Health · US

Funding

A Unified Atlas of Dynamic tRNA FunctionR01HG006753 · NHGRI · UNIVERSITY OF CALIFORNIA SANTA CRUZ · PI LOWE, TODD MICHAEL · 2012 to 2022
$4.6M
Biotechnology and Biological Sciences Research Council BB/N019199/1NHGRI NIH HHS R01 HG006753Wellcome TrustWellcome Trust 218302/Z/19/Z
6 · The paper itself

Abstract

Non-coding RNAs (ncRNA) are essential for all life, and their functions often depend on their secondary (2D) and tertiary structure. Despite the abundance of software for the visualisation of ncRNAs, few automatically generate consistent and recognisable 2D layouts, which makes it challenging for users to construct, compare and analyse structures. Here, we present R2DT, a method for predicting and visualising a wide range of RNA structures in standardised layouts. R2DT is based on a library of 3,647 templates representing the majority of known structured RNAs. R2DT has been applied to ncRNA sequences from the RNAcentral database and produced >13 million diagrams, creating the world's largest RNA 2D structure dataset. The software is amenable to community expansion, and is freely available at https://github.com/rnacentral/R2DT and a web server is found at https://rnacentral.org/r2dt .

Indexed as

Computational BiologyDatabases, Nucleic AcidNucleic Acid ConformationReproducibility of ResultsRNARNA, UntranslatedSequence Analysis, RNASoftwareRNARNA, Untranslated

Identifiers

PMID34108470
PMCPMC8190129
OpenAlexW3172130030

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.