In Silico Prediction of the Action of Ivermectin-like Compounds on Binding Sites of the SARS-CoV-2 Spike Protein and Receptor-binding Domain of ACE2
Keywords:
Ivermectin, in silico analysis, COVID-19, SARS-CoV-2 Spike protein, Angiotensin-converting enzyme 2Abstract
Background: Ivermectin (IVM), a macrocyclic lactone anthelmintic drug, is a promising lead compound that may disrupt the binding interface of the SARS-CoV-2 spike protein with the protein-binding domain of angiotensin-converting enzyme 2 (ACE2), and so could present an opportunity for further drug development of anti-COVID-19 medication.
Objective: This study aimed to determine and predict the most effective IVM-based analogs against the SARS-CoV-2 spike protein and human angiotensin-converting enzyme 2 by using computational analysis.
Method: This study performed a rational in silico study to screen ivermectin-like compounds with a similarity score less than 0.70 and then screened these for acceptable pharmacokinetic properties, to further examine molecular docking analysis of SARS-CoV-2 spike protein and protein-binding domain of angiotensin-converting enzyme 2.
Result: The results showed that compound 14, with a similar score of 0.722, exerted the most binding affinity with both targets, with a binding energy of -8.32 and -7.98 kcal/mol to the SARS-CoV-2 spike protein and the protein-binding domain of angiotensin-converting enzyme 2 respectively, showing better values than that of ivermectin.
Conclusion: Our study confirms the possibility that the ivermectin-like compound 14 may be a most promising candidate drug, acting on the SARS-CoV-2 spike protein and angiotensin-converting enzyme 2, so should be studied further as part of a drug discovery and development process.
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