Repurposing Hydroxychloroquine as a Model Drug for the Prediction of Potential SARS-CoV-2 Inhibitor

K. K. Igwe, O. V. Ikpeazu, F. J. Amaku and I. E. Otuokere
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K. K. Igwe: Departmemt of Vet Biochemistry and Animal Production, Michael Okpara University of Agriculture, Umudike, Nigeria
O. V. Ikpeazu: Department of Biochemistry, Abia State University, Uturu, Abia State, Nigeria
F. J. Amaku: Department of Chemistry, Michael Okpara University of Agriculture, Umudike, Nigeria
I. E. Otuokere: Department of Chemistry, Michael Okpara University of Agriculture, Umudike, Nigeria

European Journal of Engineering and Technology Research, 2020, vol. 5, issue 9, 1031-1036

Abstract: The use of hydroxychloroquine as SARS-CoV-2 inhibitor is currently being reviewed in various clinical trials. To exhaustively assess the benefit of hydroxychloroquine in the search for SARS-CoV-2 cure, this paper repositioned hydroxychloroquine as a model for virtual screening on the ZINC database. Molecular docking studies of 5r7y with the retrieved molecules were performed. The S-score of the predicted compounds were compared with the reference inhibitor (hydroxychloroquine). After evaluating their binding energy, five compounds (ZINC52939663, ZINC21291670, ZINC12714071, ZINC40089978 and ZINC15963294) were noticed have to highest binding energy with SARS-CoV-2. The binding scores of the top five ligands were higher than that of the reference molecule. The pharmacokinetics, toxicity prediction, drug-likeness and global reactivity assessment of ZINC52939663, present the lead compound as a drug candidate with the probable capacity to inhibit SARS-CoV-2.

Keywords: SARS-CoV-2; Virtual Screening; Hydroxychloroquine; Molecular Docking (search for similar items in EconPapers)
Date: 2020
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Persistent link: https://EconPapers.repec.org/RePEc:epw:ejeng0:v:5:y:2020:i:9:id:62056

DOI: 10.24018/ejeng.2020.5.9.2056

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