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

Authors :
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
Source :
Computation, Vol 10, Iss 9, p 146 (2022)
Publication Year :
2022
Publisher :
MDPI AG, 2022.

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.

Details

Language :
English
ISSN :
20793197
Volume :
10
Issue :
9
Database :
Directory of Open Access Journals
Journal :
Computation
Publication Type :
Academic Journal
Accession number :
edsdoj.0bcfcd5e9a6b4006bb0055d830f143b2
Document Type :
article
Full Text :
https://doi.org/10.3390/computation10090146