Pharmaceutics (Nov 2022)

Prediction of α-Glucosidase Inhibitory Activity of LC-ESI-TQ-MS/MS-Identified Compounds from <i>Tradescantia pallida</i> Leaves

  • Fariha Imtiaz,
  • Muhammad Islam,
  • Hamid Saeed,
  • Abrar Ahmed,
  • Furqan Khurshid Hashmi,
  • Kashif Maqbool Khan,
  • Umair Ikram Dar,
  • Kalim Ullah,
  • Sibghat Mansoor Rana,
  • Bushra Saleem,
  • Anam Yasmeen,
  • Aneeba Ahmad,
  • Hafiza Arbab Hussain,
  • Atika Afzal,
  • Kashmala Shahid

DOI
https://doi.org/10.3390/pharmaceutics14122578
Journal volume & issue
Vol. 14, no. 12
p. 2578

Abstract

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Diabetes is a chronic disease that leads to abnormal carbohydrate digestion and hyperglycemia. The long-term use of marketed drugs results in secondary infections and side effects that demand safe and natural substitutes for synthetic drugs. The objective of this study is to evaluate the antidiabetic potential of compounds from the leaves of Tradescantia pallida. Thirteen phenolic compounds were identified from the ethyl acetate fraction of leaves of Tradescantia pallida using liquid chromatography-mass spectrometry. The compounds were then studied for the type of interactions between polyphenols and human α-glucosidase protein using molecular docking analysis. Prime Molecular Mechanics/Generalized Born Surface Area (MM-GBSA) calculations were performed to measure the binding free energies responsible for the formation of ligand–protein complexes. The compounds were further investigated for the thermodynamic constraints under a specified biological environment using molecular dynamic simulations. The flexibility of the ligand–protein systems was verified by Root Mean Square Deviation (RMSD), Root Mean Square Fluctuation (RMSF) and molecular interactions. The results authenticated the antidiabetic potential of polyphenols identified from the leaves of Tradescantia pallida. Our investigations could be helpful in the design of safe antidiabetic agents, but further in vitro and in vivo investigations are required.

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