Evidence map›Paper›PMID 35136710›Full record

ArticleNetwork modeling and analysis in health informatics and bioinformatics2022

Screening of potential inhibitors of COVID-19 with repurposing approach via molecular docking.

Negin Alizadehmohajer, Abtin Behmardi, Simin Najafgholian, Shabnam Moradi, Forogh Mohammadi, Reza Nedaeinia, Shaghayegh Haghjooy Javanmard, Ehsan Sohrabi, Rasoul Salehi, Gordon A Ferns and 2 more

Open access · bronzeAbstract read
In one paragraph

Article in Network modeling and analysis in health informatics and bioinformatics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.2field-weighted citation impact, top 24% 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

3 citing papers in PubMed, 11 citations in OpenAlex.

  1. Small molecules in the treatment of COVID-19.Signal transduction and targeted therapy · 2022
    Review
  2. Review
  3. 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

12 authors at 9 institutions in 3 countries.

Negin AlizadehmohajerDepartment of Medical Biotechnology and Translational Medicine, University of Milan, 20133 Milano, Italy.
Abtin BehmardiCellular and Molecular Research Center, Research Institute for Prevention of Non-communicable, Qazvin University of Medical Sciences, Qazvin, Iran.
Simin NajafgholianDepartment of Emergency Medicine, School of Medicine, Arak University of Medical Sciences, Arak, Iran.
Shabnam MoradiDepartment of Basic Sciences, School of Veterinary Medicine, Shiraz University, Shiraz, Iran.
Forogh MohammadiDepartment of Veterinary, Agriculture Faculty, Kermanshah Branch, Islamic Azad University, Kermanshah, Iran.
Reza NedaeiniaPediatric Inherited Diseases Research Center, Research Institute for Primordial Prevention of Non-communicable Disease, Isfahan University of Medical Sciences, Isfahan, Iran.ORCID 0000-0001-9922-7181
Shaghayegh Haghjooy JavanmardApplied Physiology Research Center, Isfahan University of Medical Sciences, Isfahan, Iran.
Ehsan SohrabiDepartment of Medical Genetics and Molecular Biology, Faculty of Medicine, Iran University of Medical Sciences, Tehran, Iran.
Rasoul SalehiPediatric Inherited Diseases Research Center, Research Institute for Primordial Prevention of Non-communicable Disease, Isfahan University of Medical Sciences, Isfahan, Iran.
Gordon A FernsDivision of Medical Education, Brighton and Sussex Medical School, Falmer, Brighton, BN1 9PH Sussex UK.
Asieh Emami NejadDepartment of Biology, Payame Noor University (PNU), P.O. Box 19395-3697, Tehran, Iran.
Mostafa ManianIsfahan Neurosciences Research Center, Alzahra Research Institute, Isfahan University of Medical Sciences, Isfahan, Iran.
Isfahan University of Medical Sciences · IRArak University of Medical Sciences · IRBrighton and Sussex Medical School · GBIran University of Medical Sciences · IRIslamic Azad University of Kermanshah · IRPayame Noor University · IRQazvin University of Medical Sciences · IRShiraz University · IRUniversity of Milan · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

SARS-CoV-2 (COVID-19) is the causative organism for a pandemic disease with a high rate of infectivity and mortality. In this study, we aimed to assess the affinity between several available small molecule and proteins, including Abl kinase inhibitors, Janus kinase inhibitor, dipeptidyl peptidase 4 inhibitors, RNA-dependent RNA polymerase inhibitors, and Papain-like protease inhibitors, using binding simulation, to test whether they may be effective in inhibiting COVID-19 infection through several mechanisms. The efficiency of inhibitors was evaluated based on docking scores using AutoDock Vina software. Strong ligand-protein interactions were predicted among some of these drugs, that included: Imatinib, Remdesivir, and Telaprevir, and this may render these compounds promising candidates. Some candidate drugs might be efficient in disease control as potential inhibitors or lead compounds against the SARS-CoV-2. It is also worth highlighting the powerful immunomodulatory role of other drugs, such as Abivertinib that inhibits pro-inflammatory cytokine production associated with cytokine release syndrome (CRS) and the progression of COVID-19 infection. The potential role of other Abl kinase inhibitors, including Imatinib in reducing SARS-CoV and MERS-CoV viral titers, immune regulatory function and the development of acute respiratory distress syndrome (ARDS), indicate that this drug may be useful for COVID-19, as the SARS-CoV-2 genome is similar to SARS-CoV.

Indexed as

Abl kinase inhibitorsCOVID-19Dipeptidyl peptidase 4 inhibitorsJanus kinase inhibitorPapain-like protease inhibitorsRNA-dependent RNA polymerase inhibitors

Identifiers

PMID35136710
PMCPMC8814570
OpenAlexW4225564061

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.