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标题：Identification of bioactive molecules from Triphala (Ayurvedic herbal formulation) as potential inhibitors of SARS-CoV-2 main protease (Mpro) through computational investigations
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作者：Mithun Rudrapal ; Ismail Celik ; Johra Khan 等
期刊名称：Journal of King Saud University - Science
印刷版ISSN：1018-3647
出版年度：2022
卷号：34
期号：3
页码：1-10
DOI：10.1016/j.jksus.2022.101826
语种：English
出版社：Elsevier
摘要：Graphical abstractDisplay OmittedAbstractSevere acute respiratory syndrome coronavirus disease (SARS-CoV-2) induced coronavirus disease 2019 (COVID-19) pandemic is the present worldwide health emergency. The global scientific community faces a significant challenge in developing targeted therapies to combat the SARS-CoV-2 infection. Computational approaches have been critical for identifying potential SARS-CoV-2 inhibitors in the face of limited resources and in this time of crisis. Main protease (Mpro) is an intriguing drug target because it processes the polyproteins required for SARS-CoV-2 replication. The application of Ayurvedic knowledge from traditional Indian systems of medicine may be a promising strategy to develop potential inhibitor for different target proteins of SARS-CoV-2. With this endeavor, we docked bioactive molecules fromTriphala, an Ayurvedic formulation, against Mprofollowed by molecular dynamics (MD) simulation (100 ns) to investigate their inhibitory potential against SARS-CoV-2. The top four best docked molecules (terflavin A, chebulagic acid, chebulinic acid, and corilagin) were selected for MD simulation study and the results obtained were compared to native ligand X77. From docking and MD simulation studies, the selected molecules showed promising binding affinity with the formation of stable complexes at the active binding pocket of Mproand exhibited negative binding energy during MM-PBSA calculations, indication their strong binding affinity with the target protein. The identified bioactive molecules were further analyzed for drug-likeness by Lipinski’s filter, ADMET and toxicity studies. Computational (in silico) investigations identified terflavin A, chebulagic acid, chebulinic acid, and corilagin fromTriphalaformulation as promising inhibitors of SARS-CoV-2 Mpro, suggesting experimental (in vitro/in vivo) studies to further explore their inhibitory mechanisms.
关键词：KeywordsenSARS-CoV-2COVID-19TriphalaBioactive moleculesMolecular dockingMolecular dynamics simulation