In Silico Molecular Docking Of Beta-Sitosterol and Astaxanthin into Cyclooxygenase Enzymes
Cyclooxygenase enzymes, mainly COX-1 and COX-2, have been shown to contribute to the regulation of inflammation, pain, and physiological homeostasis, positioning them as critical targets for the development of novel anti-inflammatory therapies. Although NSAIDs have proven their efficacy in COX inhibition, their adverse effects have limited their use, highlighting a research gap that necessitates further exploration of natural compounds, such as beta-sitosterol (BS) and astaxanthin (AXT), as potentially safer, selective COX modulators. This study aimed to explore the potential synergistic effects of BS-AXT combination in modulating COX enzymes through molecular docking to discover their combined activity as safer, natural anti-inflammatory agents. Docking results revealed that the BS-AXT combination significantly enhanced the binding affinity of BS to COX-2, improving from -7.5424 kcal/mol (alone) to -9.2033 kcal/mol in the combination form, indicating a potential synergistic interaction. Consistent with previous docking studies, BS and AXT demonstrated similar binding behaviors, dominated by hydrophobic interactions, particularly with key nonpolar residues within the COX-2 active site. In conclusion, the docking results suggest that the BS-AXT combination could be a natural COX-2 selective inhibitor, supporting the need for further studies to confirm its effectiveness and safety.
Authors
- Umar Ibrahim (ORCID: https://orcid.org/0000-0002-2887-2877)
- Najwa Hanim Rosli (ORCID: https://orcid.org/0000-0003-2267-1254)
- Zalına Zaharı (ORCID: https://orcid.org/0000-0003-1459-8958)
- Muhammad Bashir (ORCID: https://orcid.org/0000-0002-1581-757X)
- Aadil Rahim
- Nureen Soufi
- Mohamad Zainuddin
Institutions
- Sultan Zainal Abidin University (MY)
Publication Details
- Journal
- Tropical Journal of Natural Product Research
- Published
- 2025-09-30
- DOI
- https://doi.org/10.26538/tjnpr/v9i9.40
- Primary Topic
- Computational Drug Discovery Methods
- Type
- article
- Field-Weighted Citation Impact
- 0.00