In silico studies and evaluation of in vitro antidiabetic activity of berberine from ethanol seed extract of Coscinium fenestratum (Gaertn.) Colebr

Abstract

Background and objective: Tree turmeric or Coscinium fenestratum (Gaertn.) Colebr is a recent focus climber tree for its various potent therapeutic activities. The present study focused on establishing the potent antidiabetic activity of ethanol seed extract of Coscinium fenestratum (CF) after confirmation through in silico molecular docking study. Methods: The Soxhlet method was used for the extract preparation using ethanol solvent. Further, phytochemical screening and TLC were performed to detect the compound responsible for the antidiabetic activity. The accessible structure from the plant extract was used in an in-silico docking investigation based on that prediction. For the diabetes docking investigation, the alpha-amylase (HPA) protein with PDB ID: 4X9Y was chosen. After that, alpha-amylase and alpha-glucosidase inhibition assay techniques were also used to test the in vitro antidiabetic activity. Results: Berberine was detected and identified by TLC with an Rf of 0.37 and was found to be responsible for the antidiabetic activity. AutoDock4.2 was employed for in silico study, and the binding energy of berberine was −7.84, demonstrating the significant antidiabetic properties of the ethanol extract from CF seeds. Conclusion: The ethanol seed extract of CF may have an anti-diabetic effect because of the presence of berberine in the extract as one of the phytochemicals. However, additional research is required to ascertain the potential synergistic or antagonistic effects amongst various CF seed extract constituents.

Keywords

• Antioxidants
• Berberine
• Coscinium fenestratum
• In silico study
• Proteins
• In vitro antidiabetic assay