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Multidimensional in silico strategy for identification of natural polyphenols-based SARS-CoV-2 main protease (Mpro) inhibitors to unveil a hope against COVID-19

Şevki Adem, Volkan Eyüpoğlu, Ibrahim M. Ibrahim, Iqra Sarfraz, Azhar Rasul, Muhammad Ali, Abdo A. Elfiky

2022Computers in Biology and Medicine113 citationsDOIOpen Access PDF

Topics & Concepts

In silicoCoronavirus disease 2019 (COVID-19)Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)Computational biologyProteasePolyphenolDocking (animal)2019-20 coronavirus outbreakNelfinavirCoronavirusPharmacologyChemistryVirologyBiologyMedicineBiochemistryInfectious disease (medical specialty)VirusEnzymeViral loadDiseaseAntioxidantOutbreakAntiretroviral therapyPathologyGeneNursingComputational Drug Discovery MethodsDiverse Scientific Research StudiesPharmacological Effects of Natural Compounds
Multidimensional in silico strategy for identification of natural polyphenols-based SARS-CoV-2 main protease (Mpro) inhibitors to unveil a hope against COVID-19 | Litcius