ArticlePhytomedicine plus : international journal of phytotherapy and phytopharmacology2021
Computational screening of phytochemicals from three medicinal plants as inhibitors of transmembrane protease serine 2 implicated in SARS-CoV-2 infection.
Article in Phytomedicine plus : international journal of phytotherapy and phytopharmacology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.
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Who cites it
5 citing papers in PubMed, 1 synthesis or guideline pooled it, 20 citations in OpenAlex.
- Biological properties ofF1000Research · 2024Pooled it
- Evaluation of the pharmacological potential of Ganoderma lucidum against haemorrhagic and anticoagulant activities of Echis ocellatus venom.BMC biotechnology · 2025Article
- Therapeutic implications of quercetin and its derived-products in COVID-19 protection and prophylactic.Heliyon · 2024Review
- Anti-angiogenic Potential of Trans-chalcone in anCardiovascular & hematological agents in medicinal chemistry · 2024Article
- Medicinal plants used in Gabon for prophylaxis and treatment against COVID-19-related symptoms: an ethnobotanical survey.Frontiers in pharmacology · 2024Article
Corrections and comments
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Authors and funding
7 authors at 4 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: SARS-CoV-2 infection or COVID-19 is a major global public health issue that requires urgent attention in terms of drug development. Transmembrane Protease Serine 2 (TMPRSS2) is a good drug target against SARS-CoV-2 because of the role it plays during the viral entry into the cell. Virtual screening of phytochemicals as potential inhibitors of TMPRSS2 can lead to the discovery of drug candidates for the treatment of COVID-19. Purpose: The study was designed to screen 132 phytochemicals from three medicinal plants traditionally used as antivirals; Methods: Homology model of TMPRSS2 was built using the ProMod3 3.1.1 program of the SWISS-MODEL. Binding affinities and interaction between compounds and TMPRSS2 model was examined using molecular docking and molecular dynamics simulation. The drug-likeness and ADMET (absorption, distribution, metabolism, excretion, and toxicity) properties of potential inhibitors of TMPRSS2 were also assessed using admetSAR web tool. Results: Three compounds, namely, niazirin, quercetin, and moringyne from Conclusion: This study demonstrated the potentials of niazirin, quercetin, and moringyne from
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