Evidence map›Paper›PMID 34995115›Full record

ArticleScience advances2022

Toward wide-spectrum antivirals against coronaviruses: Molecular characterization of SARS-CoV-2 NSP13 helicase inhibitors.

Gustavo R Perez-Lemus, Cintia A Menéndez, Walter Alvarado, Fabian Byléhn, Juan J de Pablo

Abstract read
In one paragraph

Article in Science advances, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
–field-weighted citation impact
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

26 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Review
  5. Journal of enzyme inhibition and medicinal chemistry · 2025
    Article
  6. Article
  7. Article
  8. Article
  9. High throughput screening for SARS-CoV-2 helicase inhibitors.SLAS discovery : advancing life sciences R & D · 2024
    Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Review
  17. Article
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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

5 authors.

Gustavo R Perez-LemusPritzker School of Molecular Engineering, University of Chicago, Chicago, IL 60637, USA.ORCID 0000-0002-8650-8467
Cintia A MenéndezPritzker School of Molecular Engineering, University of Chicago, Chicago, IL 60637, USA.ORCID 0000-0003-4085-5882
Walter AlvaradoPritzker School of Molecular Engineering, University of Chicago, Chicago, IL 60637, USA.ORCID 0000-0002-9027-9951
Fabian ByléhnPritzker School of Molecular Engineering, University of Chicago, Chicago, IL 60637, USA.ORCID 0000-0001-9331-6773
Juan J de PabloPritzker School of Molecular Engineering, University of Chicago, Chicago, IL 60637, USA.ORCID 0000-0002-3526-516X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To date, effective therapeutic treatments that confer strong attenuation against coronaviruses (CoVs) remain elusive. Among potential drug targets, the helicase of CoVs is attractive due to its sequence conservation and indispensability. We rely on atomistic molecular dynamics simulations to explore the structural coordination and dynamics associated with the SARS-CoV-2 Nsp13 apo enzyme, as well as their complexes with natural ligands. A complex communication network is revealed among the five domains of Nsp13, which is differentially activated because of the presence of the ligands, as shown by shear strain analysis, principal components analysis, dynamical cross-correlation matrix analysis, and water transport analysis. The binding free energy and the corresponding mechanism of action are presented for three small molecules that were shown to be efficient inhibitors of the previous SARS-CoV Nsp13 enzyme. Together, our findings provide critical fresh insights for rational design of broad-spectrum antivirals against CoVs.

Identifiers

PMID34995115
PMCPMC8741187

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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.