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In silico study of medicinal plants with cyclodextrin inclusion complex as the potential inhibitors against SARS-CoV-2 main protease (Mpro) and spike (S) receptor

Doni Dermawan, Bagas Adji Prabowo, Casilda Aulia Rakhmadina

2021Informatics in Medicine Unlocked25 citationsDOIOpen Access PDF

Abstract

The current outbreak of novel coronavirus disease (COVID-19) causes an alarming number of deaths in 221 countries around the world. Nowadays, there is no specific and effective drug regimen for curing COVID-19. Since the COVID-19 pandemic, several medicinal plants with promising results in the previous SARS-CoV could be used to treat SARS-CoV-2 infected patients. This work assesses proven medicinal plants as potential inhibitors against SARS-CoV-2 main protease (Mpro) and spike (S) receptors by employing in silico methods. Molecular docking studies and 3D structure-based pharmacophore modeling were performed to identify the molecular interactions of potential active molecules with the Mpro and (S) receptor of SARS-CoV-2. The drug-likeness and ADME properties were also predicted to support the drug-like nature of the selected active molecules. The results indicated that the most favorable ligand was Terrestriamide with (ΔG: ─8.70 kcal/mol; Ki: 0.417 μM) and (ΔG: ─7.02 kcal/mol; Ki: 7.21 μM) for Mpro and (S) receptor, respectively. Terrestriamide is also supported with a high drug-likeness value and appropriate ADME profile. Furthermore, to improve drug delivery, the cyclodextrin inclusion complex was calculated based on semi-empirical quantum mechanical methods. Terrestriamide/γ−cyclodextrin is the most favorable pathway of inclusion complex formation and could be used to treat COVID-19.

Topics & Concepts

ADMEPharmacophoreIn silicoDocking (animal)PharmacologyChemistryDrugProteaseSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2)Computational biologyStereochemistryCoronavirus disease 2019 (COVID-19)BiologyBiochemistryEnzymeMedicineInfectious disease (medical specialty)Veterinary medicineDiseaseGenePathologySARS-CoV-2 and COVID-19 ResearchComputational Drug Discovery MethodsDiverse Scientific Research Studies