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

Pharmaceutics - Tập 14 Số 12 - Trang 2578
Fariha Imtiaz1, Muhammad Islam1, Hamid Saeed2, Abrar Ahmed3, Furqan Khurshid Hashmi2, Kashif Maqbool Khan4, Umair Ikram Dar5, Kalim Ullah6, Sibghat Mansoor Rana1, Bushra Saleem1, Anam Yasmeen1, Aneeba Ahmad2, Hafiza Arbab Hussain1, Atika Afzal7, Kashmala Shahid1
1Section of Pharmaceutical Chemistry, Punjab University College of Pharmacy, Allama Iqbal Campus, University of the Punjab, Lahore 54000, Pakistan
2Section of Pharmaceutics, Punjab University College of Pharmacy, Allama Iqbal Campus, University of the Punjab, Lahore 54000, Pakistan
3Section of Pharmacognosy, Punjab University College of Pharmacy, Allama Iqbal Campus, University of the Punjab, Lahore 54000, Pakistan
4Institute of Pharmaceutical Sciences, University of Veterinary and Animal Sciences, Lahore, 54000, Pakistan
5Department of Pharmaceutical Sciences, Lahore College of Pharmaceutical Sciences, Punjab 54000, Pakistan
6Bahria Town International Hospitals Lahore, National Hospital & Medical Center, DHA, Bright International University, Lahore 54000, Pakistan
7Department of Pharmacy, The University of Lahore, Lahore 54000, Pakistan

Tóm tắt

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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