Evidence map›Paper›PMID 32623357›Full record

ArticleComputational biology and chemistry2020

Virtual screening of approved drugs as potential SARS-CoV-2 main protease inhibitors.

Alicia Jiménez-Alberto, Rosa María Ribas-Aparicio, Gerardo Aparicio-Ozores, Juan A Castelán-Vega

Abstract read
In one paragraph

Article in Computational biology and chemistry, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers.

0numbers the graph read from it
0cells of the map it votes in
38citing 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

38 citing papers in PubMed.

  1. Article
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  3. Consensus Pharmacophore Strategy For Identifying Novel SARS-Cov-2 MJournal of chemical information and modeling · 2024
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  4. Review
  5. Future virology · 2023
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  6. A review onExploration of targeted anti-tumor therapy · 2023
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  7. Review
  8. Machine learning prediction of 3CLComputational biology and chemistry · 2022
    Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Plant Source Derived Compound ExhibitedFrontiers in pharmacology · 2022
    Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. International journal of molecular sciences · 2021
    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

4 authors.

Alicia Jiménez-AlbertoPrograma de Posgrado en Biomedicina y Biotecnología Molecular, Escuela Nacional de Ciencias Biológicas, Instituto Politécnico Nacional, Ciudad de México, Mexico. Electronic address: pcbycbm@gmail.com.
Rosa María Ribas-AparicioPrograma de Posgrado en Biomedicina y Biotecnología Molecular, Escuela Nacional de Ciencias Biológicas, Instituto Politécnico Nacional, Ciudad de México, Mexico. Electronic address: rribas233@yahoo.com.
Gerardo Aparicio-OzoresPrograma de Posgrado en Biomedicina y Biotecnología Molecular, Escuela Nacional de Ciencias Biológicas, Instituto Politécnico Nacional, Ciudad de México, Mexico. Electronic address: gaparici@hotmail.com.
Juan A Castelán-VegaPrograma de Posgrado en Biomedicina y Biotecnología Molecular, Escuela Nacional de Ciencias Biológicas, Instituto Politécnico Nacional, Ciudad de México, Mexico. Electronic address: jcastelv@ipn.mx.

Funding

Resource for Biocomputing Visualization and InformaticsP41GM103311 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI FERRIN, THOMAS E · 2012 to 2017
$8.2M
NIGMS NIH HHS P41 GM103311
6 · The paper itself

Abstract

The global emergency caused by COVID-19 makes the discovery of drugs capable of inhibiting SARS-CoV-2 a priority, to reduce the mortality and morbidity of this disease. Repurposing approved drugs can provide therapeutic alternatives that promise rapid and ample coverage because they have a documented safety record, as well as infrastructure for large-scale production. The main protease of SARS-CoV-2 (Mpro) is an excellent therapeutic target because it is critical for viral replication; however, Mpro has a highly flexible active site that must be considered when performing computer-assisted drug discovery. In this work, potential inhibitors of the main protease (Mpro) of SARS-Cov-2 were identified through a docking-assisted virtual screening procedure. A total of 4384 drugs, all approved for human use, were screened against three conformers of Mpro. The ligands were further studied through molecular dynamics simulations and binding free energy analysis. A total of nine currently approved molecules are proposed as potential inhibitors of SARS-CoV-2. These molecules can be further tested to speed the development of therapeutics against COVID-19.

Indexed as

Drug Evaluation, PreclinicalDrug RepositioningAntiviral AgentsBetacoronavirusCoronavirus 3C ProteasesCoronavirus InfectionsCOVID-19Cysteine EndopeptidasesHumansMolecular Dynamics SimulationPandemicsPneumonia, ViralProtease InhibitorsProtein ConformationSARS-CoV-2Viral Nonstructural ProteinsAntiviral AgentsCoronavirus 3C ProteasesCysteine EndopeptidasesProtease InhibitorsViral Nonstructural ProteinsCOVID-19DockingMolecular dynamics simulationMproSARS-CoV-2

Identifiers

PMID32623357
PMCPMC7316061

What OpenQuestion holds

Textmetadata
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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.