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Withanolides from Withania somnifera as an immune booster and their therapeutic option against COVID-19
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Abstract
Aim: The present study aimed to investigate the withanolides as an immune system booster and anti-viral agents against the coronavirus.Materials and Methods: Reported withanolides from Withinana somnifera were retrieved from the open-source database i.e. ChEBI, PCIDB and Dr. Duke's Phytochemical and Ethnobotanical Databases. Their protein-based targets were predicted using DigepPred and the protein-protein interaction was evaluated using STRING. Similarly, the drug-likeness score of individual compounds was predicted using MolSoft and intestinal absorptivity was predicted using the boiled-egg model. The network among the compounds, proteins, and modulated pathways was constructed using Cytoscape and the docking was performed using autodock4.0.Results: Withanoloid Q was predicted to modulate the highest number of proteins, showed positive human intestinal absorption and had the highest druglikeness score. Similarly, combined network interaction identified withanolide Q to target the highest number of proteins; RAC1 was majorly modulated and regulating Fluid shear stress and atherosclerosis as a majorly regulated pathway. Similarly, Withanolide D and Withanolide G were predicted to have the better binding affinity with PLpro, Withanolide M with 3clpro, and Withanolide M with spike protein based on binding energy and number of hydrogen bond interactions. Conclusion: Among the multiple withanolides from Withania somnifera, withanolide-D, -G, -M, and -Q were predicted as a lead hit based on druglikeness score, modulated proteins, and docking score to boost immune system and inhibit the COVID infection.
Springer Science and Business Media LLC
Title: Withanolides from Withania somnifera as an immune booster and their therapeutic option against COVID-19
Description:
Abstract
Aim: The present study aimed to investigate the withanolides as an immune system booster and anti-viral agents against the coronavirus.
Materials and Methods: Reported withanolides from Withinana somnifera were retrieved from the open-source database i.
e.
ChEBI, PCIDB and Dr.
Duke's Phytochemical and Ethnobotanical Databases.
Their protein-based targets were predicted using DigepPred and the protein-protein interaction was evaluated using STRING.
Similarly, the drug-likeness score of individual compounds was predicted using MolSoft and intestinal absorptivity was predicted using the boiled-egg model.
The network among the compounds, proteins, and modulated pathways was constructed using Cytoscape and the docking was performed using autodock4.
Results: Withanoloid Q was predicted to modulate the highest number of proteins, showed positive human intestinal absorption and had the highest druglikeness score.
Similarly, combined network interaction identified withanolide Q to target the highest number of proteins; RAC1 was majorly modulated and regulating Fluid shear stress and atherosclerosis as a majorly regulated pathway.
Similarly, Withanolide D and Withanolide G were predicted to have the better binding affinity with PLpro, Withanolide M with 3clpro, and Withanolide M with spike protein based on binding energy and number of hydrogen bond interactions.
Conclusion: Among the multiple withanolides from Withania somnifera, withanolide-D, -G, -M, and -Q were predicted as a lead hit based on druglikeness score, modulated proteins, and docking score to boost immune system and inhibit the COVID infection.
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