Evidence map›Paper›PMID 33693814›Full record

ArticleNucleic acids research2021

De novo 3D models of SARS-CoV-2 RNA elements from consensus experimental secondary structures.

Ramya Rangan, Andrew M Watkins, Jose Chacon, Rachael Kretsch, Wipapat Kladwang, Ivan N Zheludev, Jill Townley, Mats Rynge, Gregory Thain, Rhiju Das

Open access · goldAbstract read
In one paragraph

Article in Nucleic acids research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 58 papers.

0numbers the graph read from it
0cells of the map it votes in
58citing papers in PubMed
5.9field-weighted citation impact, top 3% 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

58 citing papers in PubMed, 82 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Tertiary folds of the SL5 RNA from the 5' proximal region of SARS-CoV-2 and related coronaviruses.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article
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

10 authors at 4 institutions in 1 country.

Ramya RanganBiophysics Program, Stanford University, Stanford, CA 94305, USA.
Andrew M WatkinsDepartment of Biochemistry, Stanford University School of Medicine, Stanford CA 94305, USA.
Jose ChaconDepartment of Biochemistry, Stanford University School of Medicine, Stanford CA 94305, USA.
Rachael KretschBiophysics Program, Stanford University, Stanford, CA 94305, USA.
Wipapat KladwangDepartment of Biochemistry, Stanford University School of Medicine, Stanford CA 94305, USA.
Ivan N ZheludevDepartment of Biochemistry, Stanford University School of Medicine, Stanford CA 94305, USA.
Jill TownleyEterna Massive Open Laboratory.
Mats RyngeInformation Sciences Institute, University of Southern California, Marina Del Rey, CA 90292, USA.
Gregory ThainDepartment of Computer Sciences, University of Wisconsin-Madison, Madison, WI 53706 USA.
Rhiju DasBiophysics Program, Stanford University, Stanford, CA 94305, USA.
Stanford University · USEterna Massive Open Laboratory · USUniversity of Southern California · USUniversity of Wisconsin–Madison · US

Funding

Next-generation computational/chemical methods for complex RNA structuresR35GM122579 · NIGMS · STANFORD UNIVERSITY · PI Rhiju Das · 2017 to 2026
$7.2M
Structural interrogation of the HIV-1 5′ leader RNA by multidimensional chemical mapping and cryoelectron microscopyR21AI145647 · NIAID · STANFORD UNIVERSITY · PI CHIU, WAH · 2019 to 2020
$430k
Computational tools for understanding chemically modified RNA structure and interactionsR21CA219847 · NCI · STANFORD UNIVERSITY · PI DAS, RHIJU · 2017 to 2018
$334k
NCI NIH HHS R21 CA219847NIAID NIH HHS R21 AI145647NIGMS NIH HHS R35 GM122579
6 · The paper itself

Abstract

The rapid spread of COVID-19 is motivating development of antivirals targeting conserved SARS-CoV-2 molecular machinery. The SARS-CoV-2 genome includes conserved RNA elements that offer potential small-molecule drug targets, but most of their 3D structures have not been experimentally characterized. Here, we provide a compilation of chemical mapping data from our and other labs, secondary structure models, and 3D model ensembles based on Rosetta's FARFAR2 algorithm for SARS-CoV-2 RNA regions including the individual stems SL1-8 in the extended 5' UTR; the reverse complement of the 5' UTR SL1-4; the frameshift stimulating element (FSE); and the extended pseudoknot, hypervariable region, and s2m of the 3' UTR. For eleven of these elements (the stems in SL1-8, reverse complement of SL1-4, FSE, s2m and 3' UTR pseudoknot), modeling convergence supports the accuracy of predicted low energy states; subsequent cryo-EM characterization of the FSE confirms modeling accuracy. To aid efforts to discover small molecule RNA binders guided by computational models, we provide a second set of similarly prepared models for RNA riboswitches that bind small molecules. Both datasets ('FARFAR2-SARS-CoV-2', https://github.com/DasLab/FARFAR2-SARS-CoV-2; and 'FARFAR2-Apo-Riboswitch', at https://github.com/DasLab/FARFAR2-Apo-Riboswitch') include up to 400 models for each RNA element, which may facilitate drug discovery approaches targeting dynamic ensembles of RNA molecules.

Indexed as

ConsensusModels, MolecularNucleic Acid Conformation3' Untranslated Regions5' Untranslated RegionsAlgorithmsAptamers, NucleotideBase SequenceBinding SitesCryoelectron MicroscopyDatasets as TopicDrug Evaluation, PreclinicalFrameshifting, RibosomalGenome, ViralReproducibility of ResultsRiboswitch3' Untranslated Regions5' Untranslated RegionsAptamers, NucleotideRiboswitchRNA, ViralSmall Molecule Libraries

Identifiers

PMID33693814
PMCPMC8034642
OpenAlexW3134749134

What OpenQuestion holds

Textmetadata
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.