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

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.

Electrostatic Potential Mapped onto Electron Density Surface, ADME, Molecular Docking and Molecular Dynamics Simulations of Some Indolin-2-one Analogues as Cytochrome C Peroxidase Inhibitors

“…It has been hypothesised that all of the ligands satisfy the criteria of RO5. Previous research [30][31][32][33][34] have anticipated that compounds that obeyed RO5 will have a low attrition rate during the drug development process.…”