Revisiting the South Indian Traditional Plants against Several Targets of SARS-CoV-2 - An in silico Approach

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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.

Medienart:

E-Artikel

Erscheinungsjahr:

2023

Erschienen:

2023

Enthalten in:

Zur Gesamtaufnahme - volume:19

Enthalten in:

Current computer-aided drug design - 19(2023), 3 vom: 01., Seite 202-233

Sprache:

Englisch

Beteiligte Personen:

Jupudi, Srikanth [VerfasserIn]
Rajala, Srikala [VerfasserIn]
Gaddam, Narasimha Rao [VerfasserIn]
Swaminathan, Gomathi [VerfasserIn]
Peesa, Jaya Preethi [VerfasserIn]
Rajagopal, Kalirajan [VerfasserIn]
Azam, Mohammed Afzal [VerfasserIn]

Links:

Volltext

Themen:

ADME
Journal Article
Ligands
MM/PBSA
Molecular docking
Molecular dynamics
SARS-CoV-2
Ugadi pachadi

Anmerkungen:

Date Completed 16.05.2023

Date Revised 16.05.2023

published: Print

Citation Status MEDLINE

doi:

10.2174/1573409919666221230105758

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

NLM350996474