Functional Food-Derived Peptides as Multitarget Antidiabetic Agents: in Silico and Biochemical Aspects

Authors

DOI:

https://doi.org/10.11603/bmbr.2706-6290.2026.3.16588

Keywords:

type 2 diabetes mellitus, nutraceuticals, dietary proteins, bioactive peptides, enzymatic hydrolysis, molecular docking, molecular targets, functional foods

Abstract

This article summarizes current data on the application of in silico approaches, particularly molecular docking, for the screening of dietary bioactive peptides of animal origin with potential hypoglycemic properties, and evaluates the prospects of their utilization in the development of functional anti-diabetic products. It was found that dietary animal-derived bioactive peptides represent promising antidiabetic agents owing to their multitarget mechanisms of action (inhibition of key enzymes of carbohydrate metabolism, including dipeptidyl peptidase-4 (DPP-4) and α-glucosidases; regulation of insulin-related signaling pathways, enhancing of peripheral tissue sensitivity to insulin, reducing postprandial hyperglycemia, and exhibition of antioxidant and anti-inflammatory activities). Camel, bovine, and caprine milk remain the most extensively studied sources of dietary peptides with confirmed inhibitory activity against DPP-4 and α-glucosidase, while the half-maximal inhibitory concentration (IC₅₀) value serves as a universal criterion for comparing peptide inhibitory potency, thereby ensuring a standardized approach to their evaluation. At the same time, the efficiency of peptide formation and their biological properties largely depend on the type of protein substrate, its amino acid composition, and the method of enzymatic hydrolysis or fermentation.

Author Biographies

  • Mariia Kyryliv, I. Horbachevsky Ternopil National Medical University

    PhD in Biological Sciences, Associate Professor

  • Iryna Bekus, I. Horbachevsky Ternopil National Medical University

    PhD in Biological Sciences, Associate Professor

  • Inna Krynytska, I. Horbachevsky Ternopil National Medical University

    Doctor of Medical Sciences, Professor

References

1. Zhou Y, Yang R, Wang Q, Li J, Yang Y, Shi Y, Liu J. Molecular mechanisms and structure-activity relationships of natural polysaccharides in ameliorating type 2 diabetes mellitus: a comprehensive review. Front Nutr. 2026;13:1810613. DOI: 10.3389/fnut.2026.1810613. DOI: https://doi.org/10.3389/fnut.2026.1810613

2. International Diabetes Federation. IDF Diabetes Atlas. 11th ed. Brussels (Belgium): International Diabetes Federation; 2025. Available from: https://diabetesatlas.org.

3. Młynarska E, Czarnik W, Dzieża N, Jędraszak W, Majchrowicz G, Prusinowski F, et al. Type 2 diabetes mellitus: new pathogenetic mechanisms, treatment and the most important complications. Int J Mol Sci. 2025;26(3):1094. DOI: 10.3390/ijms26031094. DOI: https://doi.org/10.3390/ijms26031094

4. Caturano A, Rocco M, Tagliaferri G, Piacevole A, Nilo D, Di Lorenzo G, et al. Oxidative stress and cardiovascular complications in type 2 diabetes: from pathophysiology to lifestyle modifications. Antioxidants (Basel). 2025;14(1):72. DOI: 10.3390/antiox14010072. DOI: https://doi.org/10.3390/antiox14010072

5. Yang D, Jiang H, Meng M, Wang Z, Shen W, Liu H, et al. Implementing patient decision aids for insulin initiation in China: what are the barriers and facilitators? A TDF-based qualitative study. J Diabetes Res. 2026;2026:2842572. DOI: 10.1155/jdr/2842572. DOI: https://doi.org/10.1155/jdr/2842572

6. Sakr SS, Barakat H. Freeze-dried probiotic fermented camel milk enriched with Ajwa date pulp: evaluation of functional properties, probiotic viability, and in vitro antidiabetic and anticancer activities. Foods. 2025;14(15):2698. DOI: 10.3390/foods14152698. DOI: https://doi.org/10.3390/foods14152698

7. Iwaniak A, Minkiewicz P, Mogut D, Borawska-Dziadkiewicz J, Żulewska J, Darewicz M. Bovine milk protein-derived preparations and their hydrolysates as sources of ACE-inhibitory, DPP-IV-inhibitory, and antioxidative peptides analyzed using in silico and in vitro protocols. Int J Mol Sci. 2025;26(9):4323. DOI: 10.3390/ijms26094323. DOI: https://doi.org/10.3390/ijms26094323

8. Mudgil P, Gan CY, Yap PG, Redha AAS, Alsaadi RHS, Mohteshamuddin K, et. al. Exploring the dipeptidyl peptidase-IV inhibitory potential of probiotic-fermented milk: an in vitro and in silico comprehensive investigation into peptides from milk of different farm animals. J Dairy Sci. 2024;107(12):10153-73. DOI:10.3168/jds.2024-25108. DOI: https://doi.org/10.3168/jds.2024-25108

9. Mohamed IK, Hua Y, Kong X, Li X, Chen Y, Zhang C, Fall M. Bioactive camel milk peptides as regulators of insulin receptor signaling: experimental and computational perspectives. Results Chem. 2025;16:102504. DOI: 10.1016/j.rechem.2025.102504. DOI: https://doi.org/10.1016/j.rechem.2025.102504

10. Hassan SA, Asghar W, Yousaf S, Rahman HUU, Javed K, Khalid N. Goat milk-derived bioactive peptides as a health promoter: an insight based on recent in silico studies. Food Sci Anim Resour. 2026;46:43. DOI: 10.1007/s44463-026-00061-0. DOI: https://doi.org/10.1007/s44463-026-00061-0

11. Zhou F, Li D, Hou Y, Cong Z, Li K, Gu X, Xiao G. Exploration of hypoglycemic peptides from porcine collagen based on network pharmacology and molecular docking. PLoS One. 2024;19(3):e0298674. DOI:10.1371/journal.pone.0298674. DOI: https://doi.org/10.1371/journal.pone.0298674

12. de Matos FM, de Castro RJS. Characterization and identification of potential antioxidant, antidiabetic, and antihypertensive peptides from hydrolysates of Tenebrio molitor flour and its protein concentrate. J Food Sci. 2025;90(10):е70595. DOI: 10.1111/1750-3841.70595. DOI: https://doi.org/10.1111/1750-3841.70595

13. FitzGerald RJ, Cermeño M, Khalesi M, Kleekayai T, Amigo-Benavent M. Application of in silico approaches for the generation of milk protein-derived bioactive peptides. J Funct Foods. 2020;64:103636. DOI: 10.1016/j.jff.2019.103636. DOI: https://doi.org/10.1016/j.jff.2019.103636

14. Zhu Z, Zhang Y, He B, He L, Fang G, Ning Y, Fu P, Liu J. Screening and assessment of hypoglycemic active peptide from natural edible pigment phycobiliprotein based on molecular docking, network pharmacology, enzyme inhibition assay analyses, and cell experiments. Mar Drugs. 2025;23(8):331. DOI: 10.3390/md23080331. DOI: https://doi.org/10.3390/md23080331

15. Wu Y, Zhang J, Zhu R, Zhang H, Li D, Li H, et. al. Mechanistic study of novel dipeptidyl peptidase IV inhibitory peptides from goat's milk based on peptidomics and in silico analysis. Foods. 2024;13(8):1194. DOI: 10.3390/foods13081194. DOI: https://doi.org/10.3390/foods13081194

16. Rahmani Asl Z, Rezaee K, Ansari M, Zare-Zardini H, Eslami H. De novo generation and in silico screening of anti-diabetic peptide candidates via a deep learning-attention framework with physicochemical feature fusion. Sci Rep. 2026;16:6580. DOI: 10.1038/s41598-026-39985-4. DOI: https://doi.org/10.1038/s41598-026-39985-4

17. Mudgil P, Al Dhaheri MKO, Alsubousi MSM, Khan H, Redha AA, Yap PG, et. al. Molecular docking studies on α-amylase inhibitory peptides from milk of different farm animals. J Dairy Sci. 2024;107(5):2633-52. DOI: 10.3168/jds.2023-24118. DOI: https://doi.org/10.3168/jds.2023-24118

18. Elisha C, Bhagwat P, Pillai S. In silico and in vitro analysis of dipeptidyl peptidase-IV and angiotensin-converting enzyme inhibitory peptides derived from milk lactoferrin. Int Dairy J. 2025;160:106092. DOI: 10.1016/j.idairyj.2024.106092. DOI: https://doi.org/10.1016/j.idairyj.2024.106092

19. Liu M, Li S, Zhou X, Duan X, Fu X, Xing S, Han W. Virtual screening and validation of dipeptidyl peptidase-IV inhibitory peptides from goat milk: insights from molecular dynamics simulations and in vitro experiment. J Dairy Sci. 2026;109(6):5869-88. DOI: 10.3168/jds.2025-27580. DOI: https://doi.org/10.3168/jds.2025-27580

20. Wang D, Huang X, Marnila P, Hiidenhovi J, Välimaa AL, Granato D, Mäkinen S. Baltic herring hydrolysates: identification of peptides, in silico DPP-4 prediction, and their effects on an in vivo mice model of obesity. Food Res Int. 2024;191:114696. DOI: 10.1016/j.foodres.2024.114696. DOI: https://doi.org/10.1016/j.foodres.2024.114696

21. Liu Z, Kuang X, Xu L, Fan X, Lou W. Insights into novel α-glucosidase (α-GLU) inhibitory peptides from sturgeon fish muscle protein based on in silico and in vitro investigation. Food Wellness. 2025;1:100010. DOI: 10.1016/j.foodw.2025.100010. DOI: https://doi.org/10.1016/j.foodw.2025.100010

22. Zhu Y, Zhou E, Tang Y, Li Q, Wu L. Edible yellow mealworm-derived antidiabetic peptides: dual modulation of α-glucosidase and dipeptidyl-peptidase IV inhibition revealed by integrated proteomics, bioassays, and molecular docking analysis. Foods. 2026;15(1):96. DOI: 10.3390/foods15010096. DOI: https://doi.org/10.3390/foods15010096

23. Hajfathalian M, Ghelichi S, Jacobsen C. Anti-obesity peptides from food: production, evaluation, sources, and commercialization. Compr Rev Food Sci Food Saf. 2025;24(2):е70158. DOI: 10.1111/1541-4337.70158. DOI: https://doi.org/10.1111/1541-4337.70158

24. Dang K, Lan J, Wang Y, Pan D, Du L, Suo S, Dang Y, Gao X. Screening and evaluation of novel DPP-IV inhibitory peptides in goat milk based on molecular docking and molecular dynamics simulation. Food Chem X. 2025;25:102217. DOI: 10.1016/j.fochx.2025.102217. DOI: https://doi.org/10.1016/j.fochx.2025.102217

25. Sivaraman SA, Sabareesh V. An update on dipeptidyl peptidase-IV inhibiting peptides. Curr Protein Pept Sci. 2024;25(4):267-85. DOI: 10.2174/0113892037287976231212104607. DOI: https://doi.org/10.2174/0113892037287976231212104607

26. He Y, Zhang Y, Zhang P, Li J, Li W, Han W. Screening and analysis of malt pentapeptide DPP-IV inhibitory activity. npj Sci Food. 2025;9:224. DOI: 10.1038/s41538-025-00584-8. DOI: https://doi.org/10.1038/s41538-025-00584-8

Downloads

Published

2026-09-30

How to Cite

Functional Food-Derived Peptides as Multitarget Antidiabetic Agents: in Silico and Biochemical Aspects. (2026). Bulletin of Medical and Biological Research, 3, 49-56. https://doi.org/10.11603/bmbr.2706-6290.2026.3.16588