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J Herbmed Pharmacol. 2026;15(1): 135-147.
doi: 10.34172/jhp.2026.52879
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Short Communication

Molecular docking and dynamics simulation of milk kefir metabolites as potential estrogen receptor alpha (ER-α) modulators for breast cancer therapy

Ivan Andriansyah 1* ORCID logo, Salwaa Susilo 1 ORCID logo, Soni Muhsinin 2 ORCID logo, Ellin Febrina 3 ORCID logo, Widhya Aligita 4 ORCID logo, Aiyi Asnawi 1 ORCID logo

1 Department of Pharmacochemistry, Faculty of Pharmacy, Universitas Bhakti Kencana, Jl. Soekarno-Hatta No. 754, Bandung 40617, Indonesia
2 Department of Pharmaceutics and Pharmaceutical Technology, Faculty of Pharmacy, Universitas Bhakti Kencana, Jl. Soekarno-Hatta No. 754, Bandung 40617, Indonesia
3 Department of Pharmacology and Clinical Pharmacy, Faculty of Pharmacy, Universitas Padjadjaran, Jl. Raya Bandung-Sumedang km. 21, Jatinangor 45363, Indonesia
4 Department of Pharmacology and Clinical Pharmacy, Faculty of Pharmacy, Universitas Bhakti Kencana, Jl. Soekarno-Hatta No. 754, Bandung 40617, Indonesia
*Corresponding Author: Ivan Andriansyah, Email: ivan.andriansyah@bku.ac.id

Abstract

Introduction: Milk kefir, a fermenting milk made with kefir grains, has shown potential in promoting apoptosis, regulating the cell cycle, and reducing tumor growth in breast cancer cells. This study aimed to investigate the stability and potential of milk kefir metabolites as inhibitors of breast cancer growth by interacting with the estrogen receptor alpha (ER-α), a key protein involved in breast cancer cell proliferation. We used computational methods, specifically molecular docking simulations with AutoDock and molecular dynamics (MD) simulations with Gromacs, to analyze how these metabolites bind to ER-α.

Methods: A combination of molecular docking and MD simulations was used to explore how metabolites derived from milk kefir interact with ER-α, a crucial target in breast cancer therapy. The methodology included multiple stages: preparation of target proteins, preparation and screening of the metabolites, geometry optimization, molecular docking, and MD simulations.

Results: The molecular docking simulations of 43 metabolites revealed three promising candidates: 2-Methyl (S35), benzeneethanol (S42), and 2,6-dimethyl-4-heptanone (S54), with binding affinities (ΔG) of -5.08, -5.06, and -4.90 kcal/mol, respectively. MD simulations further showed that the selected metabolites stabilized the ER-α-metabolite complex, with the 2,6-dimethyl-4-heptanone (S54) metabolite demonstrating the most negative total MM-GBSA energy value (ΔG = -22.98 kcal/mol), indicating a strong and stable binding interaction.

Conclusion: 2,6-Dimethyl-4-heptanone, a metabolite from milk kefir, showed promising potential as a candidate for further development as a breast cancer treatment, offering a novel alternative to conventional therapies.


Implication for health policy/practice/research/medical education:

This study highlighted the potential of milk kefir metabolites, particularly 2,6-dimethyl-4-heptanone, as novel inhibitors for breast cancer treatment by targeting the estrogen receptor alpha (ER-α). The use of computational methods like molecular docking and molecular dynamics (MD) simulations provided a more efficient and cost-effective approach to drug discovery, especially for natural metabolites. This study also opened avenues for further exploration of natural metabolites as potential cancer therapies. Future research could focus on in vivo evaluation and clinical trials to validate the efficacy of 2,6-dimethyl-4-heptanone and similar metabolites in breast cancer treatment.

Please cite this paper as: Andriansyah I, Susilo S, Muhsinin S, Febrina E, Aligita W, Asnawi A. Molecular docking and dynamics simulation of milk kefir metabolites as potential estrogen receptor alpha (ER-α) modulators for breast cancer therapy. J Herbmed Pharmacol. 2026;15(1):135-147. doi: 10.34172/jhp.2026.52879.

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Submitted: 21 Dec 2024
Revision: 22 Sep 2025
Accepted: 30 Sep 2025
ePublished: 01 Jan 2026
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