Integration of molecular docking and molecular dynamics simulations for studying potential tyrosinase inhibitors from sargassum genus

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Authors

  • Thi Minh Tuyet Dang Institute of Natural Products Chemistry, Vietnam Academy of Science and Technology, 18 Hoang Quoc Viet, Cau Giay, Ha Noi, Viet Nam https://orcid.org/0009-0002-9880-0323
  • Thanh Vinh Nguyen Faculty of Pharmacy, University of Pécs https://orcid.org/0009-0007-5864-6866
  • Duy Phong Tran Vietnam Institute of Science Technology and Innovation, Ministry of Science and Technology https://orcid.org/0009-0001-0555-8949
  • Minh Quan Pham Institute of Natural Products Chemistry, Vietnam Academy of Science and Technology https://orcid.org/0000-0001-6922-1627
  • Hai Dang Nguyen Institute of Natural Products Chemistry, Vietnam Academy of Science and Technology https://orcid.org/0009-0004-7128-2065
  • Thi Nguyet Hang Nguyen Institute of Natural Products Chemistry, Vietnam Academy of Science and Technology
  • Nguyen Thanh Long Bui https://orcid.org/0009-0001-6033-6038
  • Ngoc Hung Truong Laboratory of Biophysics, Institute for Advanced Study in Technology, Ton Duc Thang University https://orcid.org/0000-0001-7904-1785
  • Pham Quoc Long Institute of Natural Products Chemistry, Vietnam Academy of Science and Technology / Section Editor of Vietnam Journal of Science and Technology

DOI:

https://doi.org/10.15625/2525-2518/22658

Keywords:

molecular docking, molecular dynamics, sargassum, tyrosinase inhibtors

Abstract

The copper-dependent enzyme tyrosinase is vital for the creation of melanin, the pigment responsible for coloration in skin, hair, and eyes. Because of tyrosinase's contribution to unwanted skin darkening, the identification of secure and potent natural inhibitors is a major goal for scientists in the cosmetic and pharmaceutical industries. In this work, a dataset of 71 compounds originated from Sargassum genus has been investigated the ligand-binding affinity to tyrosinase via atomistic simulations. The compounds including difucodiphlorethol A and pseudotrifuhalol A were suggested that can inhibit GSK-3β via molecular docking and molecular dynamic simulations. The residues including His61, His259, Asn260, His263, Arg268, Met280, Gly281, Ser282 and Val283 play a crucial role in the ligand-binding process Furthermore, the toxicity prediction also indicates that these compounds would adopt less toxicity.

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References

1. Draelos Z. D. - Skin lightening preparations and the hydroquinone controversy, Dermatol. Ther. 20 (5) (2007) 308-313. https://doi.org/10.1111/j.1529-8019.2007.00144.x.

2. Slominski A., Tobin D. J., Shibahara S. and Wortsman J. - Melanin Pigmentation in Mammalian Skin and Its Hormonal Regulation, Physiol. Rev. 84 (4) (2004) 1155-1228. https://doi.org/10.1152/physrev.00044.2003.

3. Hearing V. J. and Tsukamoto K. - Enzymatic control of pigmentation in mammals, FASEB J. 5 (14) (1991) 2902-2909.

4. Kim Y. J. and Uyama H. - Tyrosinase inhibitors from natural and synthetic sources: structure, inhibition mechanism and perspective for the future, Cell. Mol. Life Sci. 62 (15) (2005) 1707-1723. https://doi.org/10.1007/s00018-005-5054-y.

5. Nordlund J. J., Grimes P. E. and Ortonne J. P. - The safety of hydroquinone, J. Eur. Acad. Dermatol. Venereol. 20 (7) (2006) 781-787. https://doi.org/10.1111/j.1468-3083.2006.01670.x.

6. Boo Y. C. - Arbutin as a Skin Depigmenting Agent with Antimelanogenic and Antioxidant Properties, Antioxidants 10 (7) (2021). https://doi.org/10.3390/antiox10071129.

7. Kim S.-K. and Pangestuti R. Biological Activities and Potential Health Benefits of Fucoxanthin Derived from Marine Brown Algae. In Marine Medicinal Foods - Implications and Applications, Macro and Microalgae; 2011, pp 111-128.

8. Pangestuti R. and Kim S.-K. - Neuroprotective Effects of Marine Algae, Mar. Drugs 9 (5) (2011) 803-818. https://doi.org/10.3390/md9050803.

9. Muñoz-Losada K. J., Gallego-Villada M. and Puertas-Mejía M. A. - An Overview of Sargassum Seaweed as Natural Anticancer Therapy, Future Pharmacology 5 (1) (2025). https://doi.org/10.3390/futurepharmacol5010005.

10. Rout S., Rath B., Bhattamisra S. K., Rath I. and Kumar A. - Antioxidant and anti-inflammatory activities of methanol and aqueous extracts of Sargassum wightii, Journal of Herbmed Pharmacology 11 (1) (2021) 75-82. https://doi.org/10.34172/jhp.2022.08.

11. Wijesinghe W. A. J. P. and Jeon Y.-J. - Biological activities and potential industrial applications of fucose rich sulfated polysaccharides and fucoidans isolated from brown seaweeds: A review, Carbohydrate Polymers 88 (1) (2012) 13-20. https://doi.org/10.1016/j.carbpol.2011.12.029.

12. Van Drie J. H. - Computer-aided drug design: the next 20 years, J. Comput. Aided Mol. Des. 21 (10-11) (2007) 591-601. https://doi.org/10.1007/s10822-007-9142-y.

13. Marshall G. R. - Computer-Aided Drug Design, Annu. Rev. Pharmacol. Toxicol. 27 (1) (1987) 193-213. https://doi.org/10.1146/annurev.pa.27.040187.001205.

14. Quan P. M., Anh H. B. Q., Hang N. T. N., Toan D. H., Ha D. V. and Long P. Q. - Marine derivatives prevent E6 protein of HPV: An in silico study for drug development, Regional Studies in Marine Science 56 (2022). https://doi.org/10.1016/j.rsma.2022.102619.

15. Vijayakrishnan R. - Structure-based drug design and modern medicine, J. Postgrad. Med. 55 (4) (2009) 301-304. https://doi.org/10.4103/0022-3859.58943.

16. Sliwoski G., Kothiwale S., Meiler J. and Lowe E. W. - Computational Methods in Drug Discovery, Pharmacol. Rev. 66 (1) (2014) 334-395. https://doi.org/10.1124/pr.112.007336.

17. Yu W. and MacKerell A. D. Computer-Aided Drug Design Methods. In Antibiotics; 2017; Chapter Chapter 5, pp 85-106.

18. Ryde U. and Söderhjelm P. - Ligand-Binding Affinity Estimates Supported by Quantum-Mechanical Methods, Chem. Rev. 116 (9) (2016) 5520-5566. https://doi.org/10.1021/acs.chemrev.5b00630.

19. Jiang W., Thirman J., Jo S. and Roux B. - Reduced Free Energy Perturbation/Hamiltonian Replica Exchange Molecular Dynamics Method with Unbiased Alchemical Thermodynamic Axis, The Journal of Physical Chemistry B 122 (41) (2018) 9435-9442. https://doi.org/10.1021/acs.jpcb.8b03277.

20. Ngo S. T., Nguyen T. H., Tung N. T., Vu V. V., Pham M. Q. and Mai B. K. - Characterizing the ligand-binding affinity toward SARS-CoV-2 Mproviaphysics- and knowledge-based approaches, Phys. Chem. Chem. Phys. 24 (48) (2022) 29266-29278. https://doi.org/10.1039/d2cp04476e.

21. Ismaya W. T., Rozeboom H. J., Weijn A., Mes J. J., Fusetti F., Wichers H. J. and Dijkstra B. W. - Crystal Structure of Agaricus bisporus Mushroom Tyrosinase: Identity of the Tetramer Subunits and Interaction with Tropolone, Biochemistry 50 (24) (2011) 5477-5486. https://doi.org/10.1021/bi200395t.

22. Schrodinger V. r. - Schrodinger, LLC, The PyMOL Molecular Graphics System, Version 1.3r1. 2010., (2010).

23. Frisch M. J., Trucks G. W., Schlegel H. B., Scuseria G. E., Robb M. A., Cheeseman J. R., Scalmani G., Barone V., Petersson G. A., Nakatsuji H., Li X., Caricato M., Marenich A. V., Bloino J., Janesko B. G., Gomperts R., Mennucci B., Hratchian H. P., Ortiz J. V., Izmaylov A. F., Sonnenberg J. L., Williams, Ding F., Lipparini F., Egidi F., Goings J., Peng B., Petrone A., Henderson T., Ranasinghe D., Zakrzewski V. G., Gao J., Rega N., Zheng G., Liang W., Hada M., Ehara M., Toyota K., Fukuda R., Hasegawa J., Ishida M., Nakajima T., Honda Y., Kitao O., Nakai H., Vreven T., Throssell K., Montgomery Jr. J. A., Peralta J. E., Ogliaro F., Bearpark M. J., Heyd J. J., Brothers E. N., Kudin K. N., Staroverov V. N., Keith T. A., Kobayashi R., Normand J., Raghavachari K., Rendell A. P., Burant J. C., Iyengar S. S., Tomasi J., Cossi M., Millam J. M., Klene M., Adamo C., Cammi R., Ochterski J. W., Martin R. L., Morokuma K., Farkas O., Foresman J. B. and Fox D. J. Gaussian 09 Rev. d.01, Wallingford, CT, 2009.

24. Morris G. M., Huey R., Lindstrom W., Sanner M. F., Belew R. K., Goodsell D. S. and Olson A. J. - AutoDock4 and AutoDockTools4: Automated docking with selective receptor flexibility, J. Comput. Chem. 30 (16) (2009) 2785-2791. https://doi.org/10.1002/jcc.21256.

25. Abraham M. J., Murtola T., Schulz R., Páll S., Smith J. C., Hess B. and Lindahl E. - GROMACS: High performance molecular simulations through multi-level parallelism from laptops to supercomputers, SoftwareX 1-2 (2015) 19-25. https://doi.org/10.1016/j.softx.2015.06.001.

26. Aliev A. E., Kulke M., Khaneja H. S., Chudasama V., Sheppard T. D. and Lanigan R. M. - Motional timescale predictions by molecular dynamics simulations: Case study using proline and hydroxyproline sidechain dynamics, Proteins: Structure, Function, and Bioinformatics 82 (2) (2014) 195-215. https://doi.org/10.1002/prot.24350.

27. Jorgensen W. L., Chandrasekhar J., Madura J. D., Impey R. W. and Klein M. L. - Comparison of simple potential functions for simulating liquid water, The Journal of Chemical Physics 79 (2) (1983) 926-935. https://doi.org/10.1063/1.445869.

28. Wang J., Wolf R. M., Caldwell J. W., Kollman P. A. and Case D. A. - Development and testing of a general amber force field, J. Comput. Chem. 25 (9) (2004) 1157-1174. https://doi.org/10.1002/jcc.20035.

29. Tam N. M., Vu K. B., Vu V. V. and Ngo S. T. - Influence of various force fields in estimating the binding affinity of acetylcholinesterase inhibitors using fast pulling of ligand scheme, Chem. Phys. Lett. 701 (2018) 65-71. https://doi.org/10.1016/j.cplett.2018.04.024.

30. Ngo Q. A., Thi T. H. N., Pham M. Q., Delfino D. and Do T. T. - Antiproliferative and antiinflammatory coxib–combretastatin hybrids suppress cell cycle progression and induce apoptosis of MCF7 breast cancer cells, Mol. Divers. (2020). https://doi.org/10.1007/s11030-020-10121-2.

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Published

01-12-2025

How to Cite

[1]T. M. T. Dang, “Integration of molecular docking and molecular dynamics simulations for studying potential tyrosinase inhibitors from sargassum genus ”, Vietnam J. Sci. Technol., vol. 63, no. 6, Dec. 2025.

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Natural Products

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