Evidence map›Paper›PMID 33210561›Full record

ArticleJournal of biomolecular structure & dynamics2022

Structure-based identification of potential SARS-CoV-2 main protease inhibitors.

Shama Khan, Zeynab Fakhar, Afzal Hussain, Aijaz Ahmad, Deeba Shamim Jairajpuri, Mohamed F Alajmi, Md Imtaiyaz Hassan

Open access · greenAbstract read
In one paragraph

Article in Journal of biomolecular structure & dynamics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
6.6field-weighted citation impact, top 3% 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

18 citing papers in PubMed, 66 citations in OpenAlex.

  1. Article
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  3. Pharmacophore-based virtual screening andFrontiers in pharmacology · 2025
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  4. Bioprospection ofInternational journal of medical sciences · 2025
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  12. Natural products can be used in therapeutic management of COVID-19: Probable mechanistic insights.Biomedicine & pharmacotherapy = Biomedecine & pharmacotherapie · 2022
    Review
  13. Article
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  17. Article
  18. Review
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

7 authors at 5 institutions in 4 countries.

Shama KhanDepartment of Clinical Microbiology and Infectious Diseases, School of Pathology, University of the Witwatersrand, Johannesburg, South Africa.
Zeynab FakharMolecular Sciences Institute, School of Chemistry, University of the Witwatersrand, Johannesburg, South Africa.
Afzal HussainDepartment of Pharmacognosy, College of Pharmacy, King Saud University, Riyadh, Kingdom of Saudi Arabia.
Aijaz AhmadDepartment of Clinical Microbiology and Infectious Diseases, School of Pathology, University of the Witwatersrand, Johannesburg, South Africa.ORCID 0000-0003-2845-0727
Deeba Shamim JairajpuriDepartment of Medical Biochemistry, College of Medicine and Medical Sciences, Arabian Gulf University, Manama, Bahrain.
Mohamed F AlajmiDepartment of Pharmacognosy, College of Pharmacy, King Saud University, Riyadh, Kingdom of Saudi Arabia.
Md Imtaiyaz HassanCentre for Interdisciplinary Research in Basic Sciences, Jamia Millia Islamia, New Delhi, India.ORCID 0000-0002-3663-4940
King Saud University · SAUniversity of the Witwatersrand · ZAArabian Gulf University · BHJamia Millia Islamia · INNational Health Laboratory Service · ZA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To address coronavirus disease (COVID-19), currently, no effective drug or vaccine is available. In this regard, molecular modeling approaches are highly useful to discover potential inhibitors of the main protease (M

Indexed as

COVID-19 Drug TreatmentProtease InhibitorsCoronavirus 3C ProteasesHumansMolecular Docking SimulationMolecular Dynamics SimulationSARS-CoV-23C-like proteinase, SARS-CoV-2Coronavirus 3C ProteasesProtease InhibitorsADMETCOVID19Main protease inhibitorMolecular dockingMolecular dynamics simulationsPharmacophore modelingSARS-CoV-2

Identifiers

PMID33210561
PMCPMC7682383
OpenAlexW3099338836

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.