Evidence map›Paper›PMID 36052135›Full record

ArticleFrontiers in pharmacology2022

Network pharmacology reveals multitarget mechanism of action of drugs to be repurposed for COVID-19.

Melissa Alegría-Arcos, Tábata Barbosa, Felipe Sepúlveda, German Combariza, Janneth González, Carmen Gil, Ana Martínez, David Ramírez

Abstract read
In one paragraph

Article in Frontiers in pharmacology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
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  6. Article
  7. Article
  8. Review
  9. Article
  10. Polypharmacology: promises and new drugs in 2022.Pharmacological reports : PR · 2023
    Review
  11. Review
  12. A journey from molecule to physiology andFrontiers in pharmacology · 2023
    Review
  13. Article
  14. Article
  15. 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

8 authors.

Melissa Alegría-ArcosFacultad de Ingeniería y Negocios, Universidad de Las Américas, Sede Providencia, Santiago, Chile.
Tábata BarbosaDepartamento de Nutrición y Bioquímica, Facultad de Ciencias, Pontificia Universidad Javeriana, Sede Bogotá, Bogotá, Colombia.
Felipe SepúlvedaDepartment of Molecular Genetics and Microbiology, Biological Sciences Faculty, Pontifical Catholic University of Chile, Santiago, Chile.
German CombarizaUniversidad Externado de Colombia, Departamento de Matemáticas, Bogotá, Colombia.
Janneth GonzálezDepartamento de Nutrición y Bioquímica, Facultad de Ciencias, Pontificia Universidad Javeriana, Sede Bogotá, Bogotá, Colombia.
Carmen GilCentro de Investigaciones Biológicas Margarita Salas (CIB-CSIC), Madrid, Spain.
Ana MartínezCentro de Investigaciones Biológicas Margarita Salas (CIB-CSIC), Madrid, Spain.
David RamírezInstituto de Ciencias Biomédicas, Universidad Autónoma de Chile, Santiago, Chile.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The coronavirus disease 2019 pandemic accelerated drug/vaccine development processes, integrating scientists all over the globe to create therapeutic alternatives against this virus. In this work, we have collected information regarding proteins from SARS-CoV-2 and humans and how these proteins interact. We have also collected information from public databases on protein-drug interactions. We represent this data as networks that allow us to gain insights into protein-protein interactions between both organisms. With the collected data, we have obtained statistical metrics of the networks. This data analysis has allowed us to find relevant information on which proteins and drugs are the most relevant from the network pharmacology perspective. This method not only allows us to focus on viral proteins as the main targets for COVID-19 but also reveals that some human proteins could be also important in drug repurposing campaigns. As a result of the analysis of the SARS-CoV-2-human interactome, we have identified some old drugs, such as disulfiram, auranofin, gefitinib, suloctidil, and bromhexine as potential therapies for the treatment of COVID-19 deciphering their potential complex mechanism of action.

Indexed as

COVID-19drug repurposingnetwork pharmacologypolypharmacologyprotein–drug interaction networkprotein–protein interaction networkSARS-CoV-2

Identifiers

PMID36052135
PMCPMC9424758

What OpenQuestion holds

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LicenceCC BY
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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.