Journals / Turkish Computational and Theoretical Chemistry / 2025 / Volume: 9 Issue: 5 Special Issue

Exploring the Anticancer Potential of Selected Cucurbitacin Derivatives through Multitarget Interactions with Breast Cancer-Related Proteins: An In Silico Approach

Pages
—
Publication Date
2025-12-26
🏛️Bibliographic metadata and full text access for this article are provided via DergiPark.
DergiPark Record ↗
✨

AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

The docking results showed Cucurbitacin-I to have the greatest binding affinities towards several targets, specifically EGFR (-8.41 kcal/mol) and MAPK (-8.25 kcal/mol), to the crucial amino acid residues critical for kinase action.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:Breast cancer continues to be a major cause of death globally and thus the need to search for new anticancer agents.
📊
Key Findings & Data:This research used molecular docking to assess the binding ability and mode of interaction of chosen cucurbitacins (A, H, I, J, and L) against various breast cancer-related protein targets, i.e., EGFR (7PCD), HER2 (2XKN), PI3K (5FXS), mTOR (6BTY), MAPK (2ERL), and CDK2 (1H60).
💡
Conclusion & Impact:The docking results showed Cucurbitacin-I to have the greatest binding affinities towards several targets, specifically EGFR (-8.41 kcal/mol) and MAPK (-8.25 kcal/mol), to the crucial amino acid residues critical for kinase action.
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:Cucurbitacins · breast cancer · molecular docking

Abstract

Breast cancer continues to be a major cause of death globally and thus the need to search for new anticancer agents. Cucurbitacins, which are naturally occurring tetracyclic triterpenoids, have exhibited notable anticancer properties. This research used molecular docking to assess the binding ability and mode of interaction of chosen cucurbitacins (A, H, I, J, and L) against various breast cancer-related protein targets, i.e., EGFR (7PCD), HER2 (2XKN), PI3K (5FXS), mTOR (6BTY), MAPK (2ERL), and CDK2 (1H60). The docking results showed Cucurbitacin-I to have the greatest binding affinities towards several targets, specifically EGFR (-8.41 kcal/mol) and MAPK (-8.25 kcal/mol), to the crucial amino acid residues critical for kinase action. Strong interactions were also observed with Cucurbitacin-L towards CDK2 (-8.93 kcal/mol), predicting cell cycle progression inhibition. These findings suggest the potential of cucurbitacins as multi-targeting inhibitors in breast cancer therapy, which is a platform for subsequent experimental validation and drug discovery.

🔖

Cite This Article

K, G., S, S. K., V, P., N, P. (2025). Exploring the Anticancer Potential of Selected Cucurbitacin Derivatives through Multitarget Interactions with Breast Cancer-Related Proteins: An In Silico Approach. Turkish Computational and Theoretical Chemistry, Volume: 9 Issue: 5 Special Issue. https://doi.org/10.33435/tcandtc.1710095

📄 Full Text PDF Viewer

📄

PDF görüntüleyici hazırlanıyor...

References (19)

  1. L. Wilkinson, T. Gathani, Understanding breast cancer as a global health concern, British Journal of Radiology 95 (2022) 20211033
  2. M. Arnold, E. Morgan, H. Rumgay, A. Mafra, D. Singh, M. Laversanne, J. Vignat, J.R. Gralow, F. Cardoso, S. Siesling, I. Soerjomataram, Current and future burden of breast cancer: Global statistics for 2020 and 2040, Breast 66 (2022) 15–23
  3. D. Trapani, O. Ginsburg, T. Fadelu, N.U. Lin, M. Hassett, A.M. Ilbawi, B.O. Anderson, G. Curigliano, Global challenges and policy solutions in breast cancer control, Cancer Treatment Reviews 104 (2022) 102339
  4. J. Xie, Z. Yang, Z. Li, T. Zhang, H. Chen, X. Chen, Z. Dai, T. Chen, J. Hou, Triple-positive breast cancer: navigating heterogeneity and advancing multimodal therapies for improving patient outcomes, Cancer Cell International 25 (2025) 77
  5. R. Chaudhari, V. Patel, A. Kumar, Cutting-edge approaches for targeted drug delivery in breast cancer: beyond conventional therapies, Nanoscale Advances (2024)
  6. R. Paul, S. Nag, S. Mondal, N. Panigrahi, P. Roy, S.K. Sahoo, R. Sundararajan, A. Mohiuddin, Cucurbitacin: Unveiling its role as phytomolecule in health benefits, Current Bioactive Compounds 21 (2025) e070624230855
  7. C. Varela, C. Melim, B.G. Neves, J. Sharifi-Rad, D. Calina, A. Mamurova, C. Cabral, Cucurbitacins as potential anticancer agents: new insights on molecular mechanisms, Journal of Translational Medicine 20 (2022) 630
  8. E.E. Delgado-Tiburcio, J. Cadena-Iñiguez, E. Santiago-Osorio, L.D. Ruiz-Posadas, I. Castillo-Juárez, I. Aguiñiga-Sánchez, M. Soto-Hernández, Pharmacokinetics and biological activity of cucurbitacins, Pharmaceuticals 15 (2022) 1325
  9. G.F. Silvestre, R.P. de Lucena, H. da Silva Alves, Cucurbitacins and the immune system: update in research on anti-inflammatory, antioxidant, and immunomodulatory mechanisms, Current Medicinal Chemistry 29 (2022) 3774–3789
  10. Ö. İşcan, Investigation of the effect of vanillin-based compound derivatives against breast cancer by molecular docking method and computational chemistry, ADMET analysis, Turkish Journal of Computational and Theoretical Chemistry 9 (2025) 54–63
  11. A.C. Pushkaran, A.A. Arabi, From understanding diseases to drug design: can artificial intelligence bridge the gap?, Artificial Intelligence Review 57 (2024) 86
  12. A.E.O. Elkhalifa, E. Al-Shammari, M. Kuddus, M. Adnan, M. Sachidanandan, A.M. Awadelkareem, M.Y. Qattan, M.I. Khan, S.I. Abduljabbar, S. Baig, S.A. Ashraf, Structure-based multi-targeted molecular docking and dynamic simulation of soybean-derived isoflavone genistin as a potential breast cancer signaling proteins inhibitor, Life 13 (2023) 1739
  13. D. Todsaporn, A. Zubenko, V. Kartsev, T. Aiebchun, P. Mahalapbutr, A. Petrou, A. Geronikaki, L. Divaeva, V. Chekrisheva, I. Yildiz, K. Choowongkomon, Discovery of novel EGFR inhibitor targeting wild-type and mutant forms of EGFR: in silico and in vitro study, Molecules 28 (2023) 3014
  14. X. Wang, P. Zhou, L. Lin, B. Wu, Z. Fu, X. Huang, D. Zhu, Effective natural inhibitors targeting IGF-1R by computational study, Aging 14 (2022) 4874
  15. D. Halder, S. Das, R. Aiswarya, R.S. Jeyaprakash, Molecular docking and dynamics based approach for the identification of kinase inhibitors targeting PI3Kα against non-small cell lung cancer: A computational study, RSC Advances 12 (2022) 21452–21467
  16. C. Minnelli, E. Laudadio, G. Mobbili, R. Galeazzi, Conformational insight on WT- and mutated-EGFR receptor activation and inhibition by epigallocatechin-3-gallate: Over a rational basis for the design of selective non-small-cell lung anticancer agents, International Journal of Molecular Sciences 21 (2020) 1721
  17. S. Ismail, A. Uzairu, B. Sagagi, M.S. Suleiman, In silico molecular docking and pharmacokinetic studies of selected phytochemicals with estrogen and progesterone receptors as anticancer agent for breast cancer, Journal of the Turkish Chemical Society, Section A: Chemistry 5 (2018) 1337–1350
  18. C.Y. Jia, J.Y. Li, G.F. Hao, G.F. Yang, A drug-likeness toolbox facilitates ADMET study in drug discovery, Drug Discovery Today 25 (2020) 248–258
  19. R. Sharma, S. Thakur, M. Kumar, K. Vamsi, S. Jachak, I.P. Singh, R. Kumar, Synthetic modifications of therapeutically relevant pre-assembled cucurbitacins: synthetic strategies and structure–activity relationships, Journal of Molecular Structure (2024) 138321