In-silico discovery of Dipeptidyl Peptidase-4 inhibitors from African medicinal plants: Molecular docking, ADMET, dynamics simulation, and MM-GBSA analyses
摘要
Diabetes mellitus (DM) remains a global health challenge, necessitating the exploration of novel therapeutic strategies. Dipeptidyl Peptidase-4 (DPP-4) inhibitors have emerged as effective treatments by enhancing incretin-mediated insulin secretion. Here, we investigated bioactive compounds from three African plants—Ocimum gratissimum, Colocasia esculenta L., and Jatropha curcas L.—as potential DPP-4 inhibitors through an integrative computational approach. Using molecular docking, ADMET (absorption, distribution, metabolism, excretion, and toxicity) profiling, molecular dynamics (MD) simulations, and MM-GBSA (molecular mechanics energies combined with generalized Born and surface area continuum solvation) free energy calculations, we assessed the drug-likeness, pharmacokinetic properties, and stability of these compounds. Also, 100-ns MD simulation with MM-GBSA analysis using Desmond and Prime modules, respectively, was carried out on the top two hit compounds. The results here revealed that salvigenin and daidzein have good drug-likeness profiles, binding potentials, acceptable ADMET properties, and more stable protein–ligand complexes. Conclusively, the current computer-aided modeling showed that daidzein and salvigenin might have the potential to inhibit DPP-4 activity in diabetes mellitus. Due to this finding, we suggest robust wet laboratory experiments to facilitate the deployment of both compounds in the fight to manage diabetes mellitus.
Graphical abstract