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Molecular basis for the repurposing of histamine H2-receptor antagonist to treat COVID-19.
Ishola, Ahmed A; Joshi, Tanuja; Abdulai, Suliat I; Tijjani, Habibu; Pundir, Hemlata; Chandra, Subhash.
  • Ishola AA; Department of Biochemistry, Faculty of Life Sciences, University of Ilorin, Ilorin, Nigeria.
  • Joshi T; Computational Biology & Biotechnology Laboratory, Department of Botany, Soban Singh Jeena University, Almora, Uttarakhand, India.
  • Abdulai SI; Department of Botany, Kumaun University, S.S.J Campus, Almora, Uttarakhand, India.
  • Tijjani H; Central Research Laboratory, Ilorin, Kwara State, Nigeria.
  • Pundir H; Department of Biochemistry, Natural Product Research Laboratory, Bauchi State University, Gadau, Nigeria.
  • Chandra S; Computational Biology & Biotechnology Laboratory, Department of Botany, Soban Singh Jeena University, Almora, Uttarakhand, India.
J Biomol Struct Dyn ; 40(13): 5785-5802, 2022 08.
Article in English | MEDLINE | ID: covidwho-1045961
ABSTRACT
With the world threatened by a second surge in the number of Coronavirus cases, there is an urgent need for the development of effective treatment for the novel coronavirus (COVID-19). Recently, global attention has turned to preliminary reports on the promising anti-COVID-19 effect of histamine H2-receptor antagonists (H2RAs), most especially Famotidine. Therefore, this study was designed to exploit a possible molecular basis for the efficacy of H2RAs against coronavirus. Molecular docking was performed between four H2RAs, Cimetidine, Famotidine, Nizatidine, Ranitidine, and three non-structural proteins viz. NSP3, NSP7/8 complex, and NSP9. Thereafter, a 100 ns molecular dynamics simulation was carried out with the most outstanding ligands to determine the stability. Thereafter, Famotidine and Cimetidine were subjected to gene target prediction analysis using HitPickV2 and eXpression2Kinases server to determine the possible network of genes associated with their anti-COVID activities. Results obtained from molecular docking showed the superiority of Famotidine and Cimetidine compared to other H2RAs with a higher binding affinity to all selected targets. Molecular dynamic simulation and MMPBSA results revealed that Famotidine as well as Cimetidine bind to non-structural proteins more efficiently with high stability over 100 ns. Results obtained suggest that Famotidine and Cimetidine could be a viable option to treat COVID-19 with a mechanism of action that involves the inhibition of viral replication through the inhibition of non-structural proteins. Therefore, Famotidineand Cimetidine qualify for further study as a potential treatment for COVID-19.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 Drug Treatment / Histamine H2 Antagonists Type of study: Prognostic study Limits: Humans Language: English Journal: J Biomol Struct Dyn Year: 2022 Document Type: Article Affiliation country: 07391102.2021.1873191

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Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 Drug Treatment / Histamine H2 Antagonists Type of study: Prognostic study Limits: Humans Language: English Journal: J Biomol Struct Dyn Year: 2022 Document Type: Article Affiliation country: 07391102.2021.1873191