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Curr Comput Aided Drug Des ; 19(3): 202-233, 2023.
Artigo em Inglês | MEDLINE | ID: mdl-36588334

RESUMO

BACKGROUND: The south Indian Telugu states will celebrate a new year called 'Ugadi' which is a south Indian traditional festival. The ingredients used in ugadi pachadi have often also been used in food as well as traditional Ayurveda and Siddha medicinal preparations. Coronaviruses (CoVs) are a diverse family of enveloped positive-sense single-stranded RNA viruses which can infect humans and have the potential to cause large-scale outbreaks. OBJECTIVE: Considering the benefits of ugadi pachadi, we investigated the binding modes of various phytochemical constituents reported from its ingredients against five targets of SARS-CoV-2. METHODS: Flexible-ligand docking simulations were achieved through AutoDock version 1.5.6. Following 50ns of molecular dynamics simulation using GROMACS 2018.1 software and binding free energy (ΔGbind) of the protein-ligand complexes were calculated using the g_mmpbsa tool. ADME prediction was done using Qikprop of Schrodinger. RESULTS: From the molecular docking and MM/PBSA results compound Eriodictin exhibited the highest binding energy when complexed with nucleocapsid N protein (6M3M) (-6.8 kcal/mol, - 82.46 kJ/mol), bound SARS-CoV-2-hACE2 complex (6M0J) (-7.4 kcal/mol, -71.10 kJ/mol) and Mpro (6XR3) (-8.6 kcal/mol, -140.21 kJ/mol). Van der Waal and electrostatic energy terms highly favored total free energy binding. CONCLUSION: The compounds Eriodictin, Vitexin, Cycloart-3, 24, 27-triol, Agigenin, Mangiferin, Mangiferolic acid, Schaftoside, 27-Hydroxymangiferonic acid, Quercetin, Azadirachtol, Cubebin, Isomangiferin, Isoquercitrin, Malicarpin, Orientin and procyanidin dimer exhibited satisfactory binding energy values when compared with standard molecules. The further iterative optimization of high-ranked compounds following validation by in vitro and in vivo techniques assists in discovering therapeutic anti-SARS-CoV-2 molecules.


Assuntos
COVID-19 , Humanos , Ligantes , Simulação de Acoplamento Molecular , SARS-CoV-2 , Simulação de Dinâmica Molecular
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