Integrated Network Pharmacology and Molecular Dynamics Reveal Multi-Target Anticancer Mechanisms of Myrtus communis Essential Oils
<b>Background:</b> Cancer's multifactorial complexity demands innovative polypharmacological strategies that can simultaneously target multiple oncogenic pathways. Natural products, with their inherent chemical diversity, offer promising multi-target therapeutic potential. This study comprehensively investigates the anticancer mechanisms of Tunisian <i>Myrtus communis</i> essential oils (McEOs) using an integrated computational-experimental framework to elucidate their polypharmacological basis and therapeutic potential. <b>Methods:</b> McEO composition was characterized via GC-MS analysis. Antiproliferative activity was evaluated against HeLa (cervical), MCF-7 (breast), and Raji (lymphoma) cancer cell lines using MTT assays. A multi-scale computational pipeline integrated network pharmacology, molecular docking against eight key oncoproteins, and 100 ns all-atom molecular dynamics simulations to elucidate molecular mechanisms and target interactions. <b>Results:</b> GC-MS revealed a 1,8-cineole-rich chemotype (38.94%) containing significant sesquiterpenes. McEO demonstrated potent differential cytotoxicity: HeLa (IC<sub>50</sub> = 8.12 μg/mL) > MCF-7 (IC<sub>50</sub> = 19.59 μg/mL) > Raji cells (IC<sub>50</sub> = 27.32 μg/mL). Network pharmacology quantitatively explained this differential sensitivity through target overlap analysis, showing higher associations with breast (23%) and cervical (18.3%) versus lymphoma (5.5%) cancer pathways. Molecular docking identified spathulenol as a high-affinity Androgen Receptor (AR) antagonist (XP GScore: -9.650 kcal/mol). Molecular dynamics simulations confirmed exceptional spathulenol-AR complex stability, maintaining critical hydrogen bonding with Asn705 for 96% of simulation time. <b>Conclusions:</b> McEO exerts sophisticated multi-target anticancer effects through synergistic constituent interactions, notably spathulenol's potent AR antagonism. This integrated computational-experimental approach validates McEO's polypharmacological basis and supports its therapeutic potential, particularly for hormone-dependent malignancies, while establishing a robust framework for natural product bioactivity deconvolution.
Authors
- Imen Kallel (ORCID: https://orcid.org/0000-0001-9139-4233)
- Ahmed Bayoudh (ORCID: https://orcid.org/0000-0003-4540-2399)
- Nidhal Tarhouni (ORCID: https://orcid.org/0000-0001-5042-2947)
- Saoussen Mekrazi
- Ahlem Soussi
- Zakarya Ahmed (ORCID: https://orcid.org/0000-0001-5399-5206)
- Raoudha Sadraoui
- Karim Kriaa (ORCID: https://orcid.org/0000-0001-6756-604X)
- Bilel Hadrich (ORCID: https://orcid.org/0000-0002-0671-4018)
- Riadh Ben Mansour
Institutions
- University of Sfax (TN)
- Imam Mohammad ibn Saud Islamic University (SA)
- University of Gafsa (TN)
Publication Details
- Journal
- Pharmaceuticals
- Published
- 2025-10-13
- DOI
- https://doi.org/10.3390/ph18101542
- Citations
- 3
- Primary Topic
- Computational Drug Discovery Methods
- Type
- article
- Field-Weighted Citation Impact
- 4.51
Funders
- Al-Imam Muhammad Ibn Saud Islamic University