Abstract:

Diabetes is a long-term physiological disorder that affects people of all ages and has a major negative impact on people's ability to live normal, harmonious lives across the globe. The discovery of innovative antidiabetic medications is necessary due to the emergence of resistance and adverse effects of existing oral antidiabetic drugs, even with the availability of insulin preparations and various synthetic alternatives. Due to the side effects, Scientists are focusing on Phytotherapy. This computational study aimed to elucidate the antioxidant activity of Phytol by utilizing molecular docking. The objective of the current research is to predict the Lipinski rule of 5 for Phytol. To examine the ADMET properties of Phytol. To analyse the protein-ligand interaction of Phytol with ROS proteins like Superoxide dismutase (PDB ID:1SPD_A), Catalase (PDB ID:1QQW_A), Glutathione peroxidase (PDB ID:2HE3_A), Peroxiredoxin (PDB ID:1OC3_A). The results of the in-silico studies infer that Phytol follows the Lipinski rule of 5, having a higher binding affinity with catalase protein and better hydrogen bond interactions with Superoxide dismutase and Glutathione peroxidase. The current study provides evidence that Phytol reduces oxidative stress. However, additional in-vitro and in-vivo research are needed to understand the prediction process.

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