Computational Assessment of Xanthones from African Medicinal Plants as Aldose Reductase Inhibitors

Onikepe Deborah Owoseeni, Rajesh B. Patil, Prajakta M. Phage, Ruth Mosunmola Ogboye, Marcus Durojaye Ayoola, Samson Oluwaseyi Famuyiwa, Felix Olusegun Gboyero, Derek Tantoh Ndinteh, Kolade Olatubosun Faloye

Research output: Contribution to journalArticlepeer-review

11 Citations (Scopus)

Abstract

Diabetes mellitus is a life-threatening non-communicable disease that affects all age groups. Despite the increased attention it has received in recent years, the number of diabetic patients has grown exponentially. These increased cases are attributed to essential enzymes involved in blood glucose regulation. In this study, we attempt to reveal the aldose reductase inhibitory potential of xanthones isolated from African medicinal plants. Ensemble docking, molecular dynamics simulation, density functional theory (DFT), and ADMET methods were employed to identify drug candidates as aldose reductase inhibitors. The ensemble docking results identified mangostenone B, bangangxanthone A, smeathxanthone B, mangostenone A, and allanxanthone B as potent inhibitors against the aldose reductase enzyme. Molecular dynamics studies showed the xanthones established better binding mode and affinities against the enzyme. Moreover, the electronic properties of the xanthones explained their good pharmacological potentials. Therefore, our findings suggest that the hit molecules be investigated in vitro and in vivo for drug development against aldose reductase.

Original languageEnglish
Article number146
JournalComputation
Volume10
Issue number9
DOIs
Publication statusPublished - Sept 2022

Keywords

  • aldose reductase
  • density functional theory
  • molecular dynamics simulation
  • xanthone

ASJC Scopus subject areas

  • Theoretical Computer Science
  • General Computer Science
  • Modeling and Simulation
  • Applied Mathematics

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