In Silico Screening of Laminaria japonica Ligands as Potential Inhibitors of DPP-4 for Type 2 Diabetes Treatment

Main Article Content

Ellin Febrina
Putri Regina
Yasmiwar Susilawati
Ferry F. Sofian
Aiyi Asnawi

Abstract

Type 2 diabetes mellitus (DM2) is an increasing global health issue marked by insulin resistance and altered glucose homeostasis. Dipeptidyl peptidase-4 (DPP4) is crucial in modulating glucose concentrations through inactivation of incretin hormones. Inhibition of DPP4 constitutes a therapeutic approach for the treatment of DM2. Laminaria japonica, a marine alga, possesses bioactive substances such as fucoidan, beta-ionone, and laminine, which exhibit potential anti-diabetic activities. The chemical interactions of these drugs with DPP4 are still inadequately understood. This work sought to examine the binding interactions of the main Laminaria japonica ligands with DPP4 by molecular docking and molecular dynamics simulations. The study aimed to forecast the binding affinity, stability, and critical interactions of these ligands inside the active site of DPP4. Molecular docking was performed to determine binding energies, succeeded by molecular dynamics simulations lasting 100 ns to assess complex stability. The top three ligands obtained from docking were fucoidan, beta-ionone, and laminin, with binding energies of -5.79 kcal/mol, -5.64 kcal/mol, and -5.6 kcal/mol, respectively, compared to the native ligand PF2, which had a binding energy of -9.21 kcal/mol. However, beta-ionone demonstrated the best ΔTOTAL value of -24.73 kcal/mol in the MD simulation. In conclusion, in silico research indicated that beta-ionone from Laminaria japonica was a potential candidate for DPP4 inhibition and may act as lead compounds for the formulation of innovative anti-diabetic drugs. Additional in vitro and in vivo investigations are necessary to corroborate these results.

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How to Cite
Febrina, E., Regina, P., Susilawati, Y., Sofian, F. F., & Asnawi, A. (2025). In Silico Screening of Laminaria japonica Ligands as Potential Inhibitors of DPP-4 for Type 2 Diabetes Treatment. Tropical Journal of Natural Product Research (TJNPR), 9(1), 157-167. https://doi.org/10.26538/tjnpr/v9i1.23
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How to Cite

Febrina, E., Regina, P., Susilawati, Y., Sofian, F. F., & Asnawi, A. (2025). In Silico Screening of Laminaria japonica Ligands as Potential Inhibitors of DPP-4 for Type 2 Diabetes Treatment. Tropical Journal of Natural Product Research (TJNPR), 9(1), 157-167. https://doi.org/10.26538/tjnpr/v9i1.23

References

1. Candler T, Mahmoud O, Lynn R, Majbar A, Barrett T, Shield J. Continuing rise of type 2 diabetes incidence in children and young people in the UK. Diabet Med 2018; 35: 737–744.

2. Balaji R, Duraisamy R, Kumar M. Complications of diabetes mellitus: A review. Drug Invent Today 2019; 12: 98.

3. Andary R, Fan W, Wong ND. Control of cardiovascular risk factors among US adults with type 2 diabetes with and without cardiovascular disease. Am J Cardiol 2019; 124: 522–527.

4. Kumar MS, Sharma SA. Toxicological effects of marine seaweeds: a cautious insight for human consumption. Crit Rev Food Sci Nutr 2021; 61: 500–521.

5. Lee I-S, Ko S-J, Lee YN, Lee G, Rahman MH, Kim B. The effect of Laminaria japonica on metabolic syndrome: A systematic review of its efficacy and mechanism of action. Nutrients 2022; 14: 3046-3066.

6. Celcia Gnana Rathinam W, Bragadeeswaran S, Kumaresan S, Gunamathy K, Visnu B, Mohamed Asarudeen J, Sasidharan T, Srikavibharathi S. Marine Resources: A Sustainable and Promising Source for Cosmetic Industries. In: Multidisciplinary Applications of Marine Resources: A Step towards Green and Sustainable Future. Springer, 2024; 103–140.

7. Zhang C, Jia J, Zhang P, Zheng W, Guo X, Ai C, Song S. Fucoidan from Laminaria japonica ameliorates type 2 diabetes mellitus in association with modulation of gut microbiota and metabolites in streptozocin-treated mice. Foods 2022; 12: 33-51.

8. Deacon CF. Physiology and pharmacology of DPP-4 in glucose homeostasis and the treatment of type 2 diabetes. Front Endocrinol 2019; 10: 80-94.

9. Saini K, Sharma S, Khan Y. DPP-4 inhibitors for treating T2DM-hype or hope? an analysis based on the current literature. Front Mol Biosci 2023; 10: 1130625-1130644.

10. Yang N, He L-Y, Liu P, Li Z-Y, Yang Y-C, Ping F, Xu L-L, Li W, Zhang H-B, Li Y-X. Dipeptidyl peptidase-4 inhibitors and the risk of infection: A systematic review and meta-analysis of cardiovascular outcome trials. World J Diabetes 2024; 15: 1011-1020.

11. Dowarah J, Singh VP. Anti-diabetic drugs recent approaches and advancements. Bioorg Med Chem 2020; 28: 115263-115278.

12. Singh S, Baker QB, Singh DB. Molecular docking and molecular dynamics simulation. In: Bioinformatics. Elsevier, 2022; 291–304.

13. Huey R, Morris GM, Forli S. Using AutoDock 4 and AutoDock vina with AutoDockTools: a tutorial. Scripps Res Inst Mol Graph Lab 2012; 10550: 1000-1032.

14. Kutzner C, Kniep C, Cherian A, Nordstrom L, Grubmüller H, de Groot BL, Gapsys V. GROMACS in the cloud: A global supercomputer to speed up alchemical drug design. J Chem Inf Model 2022; 62: 1691–1711.

15. Snyder HD, Kucukkal TG. Computational chemistry activities with Avogadro and ORCA. J Chem Educ 2021; 98: 1335–1341.

16. Jejurikar BL, Rohane SH. Drug designing in discovery studio. 2021

17. Ammirati MJ, Andrews KM, Boyer DD, Brodeur AM, Danley DE, Doran SD, Hulin B, Liu S, McPherson RK, Orena SJ. (3, 3-Difluoro-pyrrolidin-1-yl)-[(2S, 4S)-(4-(4-pyrimidin-2-yl-piperazin-1-yl)-pyrrolidin-2-yl]-methanone: A potent, selective, orally active dipeptidyl peptidase IV inhibitor. Bioorg Med Chem Lett 2009; 19: 1991–1995.

18. Nakamura K, Shimura N, Otabe Y, Hirai-Morita A, Nakamura Y, Ono N, Ul-Amin MA, Kanaya S. KNApSAcK-3D: a three-

dimensional structure database of plant metabolites. Plant Cell Physiol 2013; 54: e4-e12.

19. Karami TK, Hailu S, Feng S, Graham R, Gukasyan HJ. Eyes on Lipinski’s rule of five: A New “rule of thumb” for physicochemical design space of ophthalmic drugs. J Ocul Pharmacol Ther 2022; 38: 43–55.

20. Lim VT, Hahn DF, Tresadern G, Bayly CI, Mobley DL. Benchmark assessment of molecular geometries and energies from small molecule force fields. F1000Research 2020; 9: 1390-1412.

21. Asnawi A, Nedja M, Febrina E, Purwaniati P. Prediction of a Stable Complex of Compounds in the Ethanol Extract of Celery Leaves (Apium graveolens L.) Function as a VKORC1 Antagonist: http://.www.doi.org/10.26538/tjnpr/v7i2.10. Trop J Nat Prod Res TJNPR 2023; 7: 2362–2370.

22. Yuliantini A, Ocktavyanie S, Febrina E, Asnawi A. Virtual Screening Using a Ligand-based Pharmacophore Model from Ashitaba (Angelica keiskei K.) Isolates and Molecular Docking to Obtained New Candidates as -Glucosidase Inhibitors: http://www.doi.org/10.26538/tjnpr/v8i1.15. Trop J Nat Prod Res TJNPR 2024; 8: 5811–5819.

23. A. Asnawi, Aman LO, Nursamsiar, A. Yuliantini, E. Febrina. Molecular Docking and Molecular Dynamic Studies: Screening Phytochemicals of Acalypha Indica Against Braf Kinase Receptors For Potential Use In Melanocytic Tumours. Rasayan J Chem 2022; 15: 1352–1361.

24. Febrina E, Asnawi A. Lead compound discovery using pharmacophore-based models of small-molecule metabolites from human blood as inhibitor cellular entry of SARS-CoV-2. J Pharm Pharmacogn Res 2023; 11: 810–822.

25. Mathur A, Feng S, Hayward JA, Ngo C, Fox D, Atmosukarto II, Price JD, Schauer K, Märtlbauer E, Robertson AAB, Burgio G, Fox EM, Leppla SH, Kaakoush NO, Man SM. A multi-component toxin from Bacillus cereus incites inflammation and shapes host outcome via the NLRP3 inflammasome. Nat Microbiol 2019; 4: 362–374.

26. Hussain S, Iqbal A, Hamid S, Putra PP, Ashraf M. Identifying alkaline phosphatase inhibitory potential of cyclooxygenase-2 inhibitors: Insights from molecular docking, MD simulations, molecular expression analysis in MCF-7 breast cancer cell line and in vitro investigations. Int J Biol Macromol 2024; 6: 132721-132736.

27. Ijoma I, Okafor C, Ajiwe V. Computational Studies of 5-methoxypsolaren as Potential Deoxyhemoglobin S Polymerization Inhibitor. Trop J Nat Prod Res TJNPR 2024; 8: 8835–8841.

28. Rahman H, Bintang MI, Asnawi A, Febrina E. Exploring the Molecular Interactions between Volatile Compounds in Coconut Shell Liquid Smoke and Human Bitter Taste TAS2R46 Based on the Molecular Docking and Molecular Dynamics: http://www.doi.org/10.26538/tjnpr/v7i12.31. Trop J Nat Prod Res TJNPR 2023; 7: 5587–5594.

29. Alaofi AL. Exploring structural dynamics of the MERS-CoV receptor DPP4 and mutant DPP4 receptors. J Biomol Struct Dyn 2022; 40: 752–763.