PURPOSE: The therapeutic use of oral hypoglycaemic agents in the management of type-2 diabetes mellitus (T2DM) is without adverse effects; thus, calls for alternative and novel candidates from natural products in medicinal plants. METHOD: The study explored molecular docking and molecular dynamics (MD) simulation approaches to identify key antidiabetic metabolites from Crescentia cujete. RESULTS: Molecular docking results identified four and/or five best compounds against each target enzyme (alpha-glucosidase, dipeptidyl peptidase-IV, aldose reductase, and protein tyrosine phosphatase-1B (PTP-1B)) implicated in diabetes. The resulting complexes (except against PTP-1B) had higher docking scores above respective standards (acarbose, Diprotin A, ranirestat). The MD simulation results revealed compounds such as benzoic acid (-48.414Â kcal/mol) and phytol (-45.112Â kcal/mol) as well as chlorogenic acid (-42.978Â kcal/mol) and naringenin (-31.292Â kcal/mol) had higher binding affinities than the standards [acarbose (-28.248Â kcal/mol), ranirestat (-21.042Â kcal/mol)] against alpha-glucosidase and aldose reductase, respectively while Diprotin A (-45.112Â kcal/mol) and ursolic acid (-18.740Â kcal/mol) presented superior binding affinities than the compounds [luteolin (-41.957Â kcal/mol and naringenin (-16.518Â kcal/mol)] against DPP-IV and PTP-1B respectively. CONCLUSION: While isoflavone (alpha-glucosidase), xylocaine (DPP-IV), luteolin (aldose reductase,) and chlorogenic acid (PTP-1B) were affirmed as the best inhibitors of respective enzyme targets, luteolin, and chlorogenic acid may be suggested and proposed as probable candidates against T2DM and related retinopathy complication based on their structural stability, compactness and affinity for three (DPP-IV, aldose reductase, and PTP-1B) of the four targets investigated. Further studies are warranted in vitro and in vivo on the antihyperglycaemic effects of these drug candidates. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s40200-023-01249-7.
Cheminformatics identification of modulators of key carbohydrate-metabolizing enzymes from C. cujete for type-2 diabetes mellitus intervention.
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作者:Balogun Fatai Oladunni, Singh Karishma, Rampadarath Athika, Akoonjee Ayesha, Naidoo Kayleen, Sabiu Saheed
| 期刊: | Journal of Diabetes and Metabolic Disorders | 影响因子: | 1.600 |
| 时间: | 2023 | 起止号: | 2023 Jul 1; 22(2):1299-1317 |
| doi: | 10.1007/s40200-023-01249-7 | ||
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