Phytochemical profiling and evaluation of the antidiabetic potential of Ichnocarpus frutescens (Krishna Sariva): kinetic study, molecular modelling, and free energy approach.
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引用次数: 0
Abstract
This research explored novel antidiabetic drugs from natural sources using the Ayurvedic Rasayana herb Ichnocarpus frutescens through invitro enzyme assay, kinetics study, and computational approaches. Invitro enzyme inhibition assay demonstrated the promising inhibitory activity of root extract against alpha-amylase (α-A) and alpha-glucosidase (α-G) enzyme with IC50 value 7.34 ± 0.22 mg/ml and 4.40 ± 0.25 mg/ml respectively. Enzyme kinetic study revealed the competitive inhibition of both proteins by Ichnocarpus frutescens extract. High-Resolution Liquid Chromatography Mass Spectrometer and Docking study revealed the better binding energy of phytoconstituents 23-Acetoxysoladulcidine, Atrovirinone, Bismurrayaquinone A, Lamprolobine, Zygadenine, and Gambiriin A3 than standard drug acarbose. Molecular modelling showed stable protein-ligands binding interaction during the 100 ns simulation. It revealed comparable Root Mean Square Deviation, Radius of Gyration, and Solvent Accessible Surface Area of these compounds with acarbose. The active site residues of both proteins remained stable and showed significantly less Root Mean Square Fluctuation. Molecular Mechanics with Generalised Bonn Surface Area analysis has illustrated the similar inhibitory activity of Zygadenine for α-A, 23-Acetoxysoladulcidine, and Gambiriin A3 for α-G protein, compared to the FDA-approved drug acarbose. Thus, the study suggested that the root of Ichnocarpus frutescens can be used as α-A and α-G inhibitors and be considered a compelling lead for the medication of type 2 diabetes.Communicated by Ramaswamy H. Sarma.
期刊介绍:
The Journal of Biomolecular Structure and Dynamics welcomes manuscripts on biological structure, dynamics, interactions and expression. The Journal is one of the leading publications in high end computational science, atomic structural biology, bioinformatics, virtual drug design, genomics and biological networks.