Evidence map›Paper›PMID 33172092›Full record

ArticleMolecules (Basel, Switzerland)2020

Drugs Repurposing Using QSAR, Docking and Molecular Dynamics for Possible Inhibitors of the SARS-CoV-2 M

Eduardo Tejera, Cristian R Munteanu, Andrés López-Cortés, Alejandro Cabrera-Andrade, Yunierkis Pérez-Castillo

Abstract read
In one paragraph

Article in Molecules (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing 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

27 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
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  7. Article
  8. Review
  9. Acylhydrazones and Their Biological Activity: A Review.Molecules (Basel, Switzerland) · 2022
    Review
  10. Article
  11. Machine learning prediction of 3CLComputational biology and chemistry · 2022
    Article
  12. Article
  13. Article
  14. Article
  15. Review
  16. Novel Drug Design for Treatment of COVID-19: A Systematic Review of Preclinical Studies.The Canadian journal of infectious diseases & medical microbiology = Journal canadien des maladies infectieuses et de la microbiologie medicale · 2022
    Review
  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

5 authors.

Eduardo TejeraGrupo de Bio-Quimioinformática, Universidad de Las Américas, Quito 170513, Ecuador.
Cristian R MunteanuFaculty of Computer Science, Centre for Information and Communications Technology Research (CITIC), University of A Coruna, 15007 A Coruña, Spain.ORCID 0000-0002-5628-2268
Andrés López-CortésCentro de Investigación Genética y Genómica, Facultad de Ciencias de la Salud Eugenio Espejo, Universidad UTE, Quito 170129, Ecuador.ORCID 0000-0003-1503-1929
Alejandro Cabrera-AndradeGrupo de Bio-Quimioinformática, Universidad de Las Américas, Quito 170513, Ecuador.ORCID 0000-0001-9702-6618
Yunierkis Pérez-CastilloGrupo de Bio-Quimioinformática, Universidad de Las Américas, Quito 170513, Ecuador.ORCID 0000-0002-3710-0035

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Wuhan, China was the epicenter of the first zoonotic transmission of the severe acute respiratory syndrome coronavirus clade 2 (SARS-CoV-2) in December 2019 and it is the causative agent of the novel human coronavirus disease 2019 (COVID-19). Almost from the beginning of the COVID-19 outbreak several attempts were made to predict possible drugs capable of inhibiting the virus replication. In the present work a drug repurposing study is performed to identify potential SARS-CoV-2 protease inhibitors. We created a Quantitative Structure-Activity Relationship (QSAR) model based on a machine learning strategy using hundreds of inhibitor molecules of the main protease (M

Indexed as

COVID-19 Drug TreatmentAmobarbitalAntiviral AgentsBinding SitesComputer SimulationCoronavirus 3C ProteasesDrug DiscoveryDrug RepositioningHumansMachine LearningMolecular Docking SimulationMolecular Dynamics SimulationPandemicsProtease InhibitorsProtein BindingQuantitative Structure-Activity Relationship3C-like protease, SARS coronavirusAmobarbitalAntiviral AgentsCoronavirus 3C ProteasesProtease InhibitorsSmall Molecule LibrariesThyroxineCOVID-19drugs repurposingmolecular dynamicsQSARSARS-CoV-2

Identifiers

PMID33172092
PMCPMC7664330

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.