Galangal Rhizomes Phytoconstituents as VEGFR2 Inhibitors in Breast Cancer: Computational studies

Authors

  • Keisya Ghaliyah Purnomo Undergraduate Pharmacy Study Program Department of Pharmaceutical Analysis and Medicinal Chemistry, Faculty of Pharmacy, Padjadjaran University
  • Gabriel Daendya Amalia Bintang Christy Undergraduate Pharmacy Study Program Department of Pharmaceutical Analysis and Medicinal Chemistry, Faculty of Pharmacy, Padjadjaran University
  • Jahraema Deagustia Ningsih Undergraduate Pharmacy Study Program Department of Pharmaceutical Analysis and Medicinal Chemistry, Faculty of Pharmacy, Padjadjaran University
  • Jihan Sadira Aurellia Undergraduate Pharmacy Study Program Department of Pharmaceutical Analysis and Medicinal Chemistry, Faculty of Pharmacy, Padjadjaran University
  • Dhania Novitasari Department of Pharmaceutical Analysis and Medicinal Chemistry, Faculty of Pharmacy, Padjadjaran University

DOI:

https://doi.org/10.24002/biota.v11i3.12790

Keywords:

Breast cancer, Galangal, Molecular docking, In silico, VEGFR2

Abstract

Breast cancer is the most frequently diagnosed cancer and the leading cause of cancer death among women in Indonesia. Vascular endothelial growth factor receptor 2 (VEGFR-2), a key regulator of tumour angiogenesis, is an established therapeutic target, but existing inhibitors are costly and poorly tolerated. This study evaluated ten compounds reported from Kaempferia galanga rhizomes as potential VEGFR-2 inhibitors using in silico approaches, including Lipinski’s Rule of Five, ADMET prediction with PreADMET, pharmacophore screening with LigandScout, and molecular docking against VEGFR-2 (PDB ID: 3VO3). All ten compounds satisfied the Rule of Five. The selected pharmacophore model (Model 4, AUC = 0.78) retrieved eight of them as hits. Redocking of the native imidazo[1,2-b]pyridazine ligand gave an RMSD of 1.29 Å, a binding energy of -10.81 kcal/mol and a Ki of 11.93 nM, validating the protocol. Sandaracopimaradien-6β,9α-diol-1-one gave the lowest binding energy among the test compounds (-9.23 kcal/mol; Ki 172.53 nM) but formed no hydrogen bonds and failed the pharmacophore filter. Seven phenolic compounds reproduced the native ligand’s hydrogen bond to Glu885. Taking drug-likeness, predicted toxicity, pharmacophore fit and binding mode together, methyl (2R,3S)-2,3-dihydroxy-3-(4-methoxyphenyl)propanoate was the most promising VEGFR-2 inhibitor candidate, and confirmation by in vitro and in vivo testing is required.

References

Forli, S., Huey, R., Pique, M. E., Sanner, M. F., Goodsell, D. S., & Olson, A. J. (2016). Computational protein–ligand docking and virtual drug screening with the AutoDock suite. Nature Protocols, 11(5), 905–919. https://doi.org/10.1038/nprot.2016.051

Ghoncheh, M., Pournamdar, Z., & Salehiniya, H. (2016). Incidence and Mortality and Epidemiology of Breast Cancer in the World. Asian Pacific Journal of Cancer Prevention: APJCP, 17(S3), 43–46. https://doi.org/10.7314/apjcp.2016.17.s3.43

Hamid, I. S., Ekowati, J., & Purnama, M. T. E. (2019). Kaempferia galanga L. Inhibiting Effect on Vascular Endothelial Growth Factor (VEGF) and Cyclooxygenase-2 (Cox-2) Expression on Endothelium of Chorioallantoic Membrane. Indian Veterinary Journal, 96(9), 80–82.

Huang, W., Zheng, N., Niu, N., Tan, Y., Li, Y., & Tian, H. (2024). Potent anti-angiogenic component in Kaempferia galanga L. and its mechanism of action. Journal of Ethnopharmacology, 324, 117811. https://doi.org/10.1016/j.jep.2024.117811

Ismail, D. P. F., Christella, A., Salsabila, N. F., Angelina, A., Muljono, F. O., Fardhan, F. M., & Novitasari, D. (2025). The bioactive compounds in bilimbi leaves (Averrhoa bilimbi L.) as natural-based anticancer targeting on VEGFR-2: In silico studies. Notulae Scientia Biologicae, 17(1), 12289–12289. https://doi.org/10.55779/nsb17112289

Kalontong, P. K., Safithri, M., & Tarman, K. (2022). Molecular Docking of Active Compound of Spirulina platensis as TMPRSS2 Inhibitor to Prevent the SARS-COV-2 Infection. Jurnal Pengolahan Hasil Perikanan Indonesia, 25(2), 253–267.

Koutroumpa, N.-M., Tsoumanis, A., Sarimveis, H., Lynch, I., Melagraki, G., & Afantitis, A. (2025). Prediction of blood–brain barrier and Caco-2 permeability through the Enalos Cloud Platform: Combining contrastive learning and atom-attention message passing neural networks. Journal of Cheminformatics, 17(1), 68. https://doi.org/10.1186/s13321-025-01007-2

Kumar, A. (2020). Phytochemistry, pharmacological activities and uses of traditional medicinal plant Kaempferia galanga L. – An overview. Journal of Ethnopharmacology, 253, 112667. https://doi.org/10.1016/j.jep.2020.112667

Li, A. P. (2001). Screening for human ADME/Tox drug properties in drug discovery. Drug Discovery Today, 6(7), 357–366. https://doi.org/10.1016/S1359-6446(01)01712-3

Lipinski, C. A., Lombardo, F., Dominy, B. W., & Feeney, P. J. (2001). Experimental and computational approaches to estimate solubility and permeability in drug discovery and development settings. Advanced Drug Delivery Reviews, 46(1–3), 3–26. https://doi.org/10.1016/s0169-409x(00)00129-0

López-Camacho, E., García-Godoy, M. J., García-Nieto, J., Nebro, A. J., & Aldana-Montes, J. F. (2016). A New Multi-objective Approach for Molecular Docking Based on RMSD and Binding Energy. In M. Botón-Fernández, C. Martín-Vide, S. Santander-Jiménez, & M. A. Vega-Rodríguez (Eds.), Algorithms for Computational Biology (pp. 65–77). Springer International Publishing. https://doi.org/10.1007/978-3-319-38827-4_6

Luo, G., Li, X., Zhang, G., Wu, C., Tang, Z., Liu, L., You, Q., & Xiang, H. (2017). Novel SERMs based on 3-aryl-4-aryloxy-2H-chromen-2-one skeleton—A possible way to dual ERα/VEGFR-2 ligands for treatment of breast cancer. European Journal of Medicinal Chemistry, 140, 252–273. https://doi.org/10.1016/j.ejmech.2017.09.015

Mboi, N., Syailendrawati, R., Ostroff, S. M., Elyazar, I. R., Glenn, S. D., Rachmawati, T., Nugraheni, W. P., Ali, P. B., Trisnantoro, L., Adnani, Q. E. S., Agustiya, R. I., Laksono, A. D., Aji, B., Amalia, L., Ansariadi, A., Antriyandarti, E., Ardani, I., Ariningrum, R., Aryastami, N. K., … Mokdad, A. H. (2022). The state of health in Indonesia’s provinces, 1990–2019: A systematic analysis for the Global Burden of Disease Study 2019. The Lancet Global Health, 10(11), e1632–e1645. https://doi.org/10.1016/S2214-109X(22)00371-0

Modi, S. J., & Kulkarni, V. M. (2019). Vascular Endothelial Growth Factor Receptor (VEGFR-2)/KDR Inhibitors: Medicinal Chemistry Perspective. Medicine in Drug Discovery, 2, 100009. https://doi.org/10.1016/j.medidd.2019.100009

Nursanti, O., Wardani, I., & Hadisoebroto, G. (2022). Validasi Penambatan Molekuler (Docking) (Zingiber Officinale) dan (Cymbopogon citratus) Sebagai Ligan Aktif Reseptor Pparγ. Jurnal Farmasi Higea, 14(1), 79–94. https://doi.org/10.52689/higea.v14i1.469

Pal, S., Kumar, V., Kundu, B., Bhattacharya, D., Preethy, N., Reddy, M. P., & Talukdar, A. (2019). Ligand-based Pharmacophore Modeling, Virtual Screening and Molecular Docking Studies for Discovery of Potential Topoisomerase I Inhibitors. Computational and Structural Biotechnology Journal, 17, 291–310. https://doi.org/10.1016/j.csbj.2019.02.006

Patel, S. A., Nilsson, M. B., Le, X., Cascone, T., Jain, R. K., & Heymach, J. V. (2023). Molecular Mechanisms and Future Implications of VEGF/VEGFR in Cancer Therapy. Clinical Cancer Research, 29(1), 30–39. https://doi.org/10.1158/1078-0432.CCR-22-1366

Rizka, A., Akbar, M. K., & Putri, N. A. (2022). Carcinoma Mammae Sinistra T4bN2M1 Metastasis Pleura. AVERROUS: Jurnal Kedokteran Dan Kesehatan Malikussaleh, 23–31. https://doi.org/10.29103/averrous.v8i1.7006

Sangande, F., Julianti, E., & Tjahjono, D. H. (2020). Ligand-Based Pharmacophore Modeling, Molecular Docking, and Molecular Dynamic Studies of Dual Tyrosine Kinase Inhibitor of EGFR and VEGFR2. International Journal of Molecular Sciences, 21(20), 7779. https://doi.org/10.3390/ijms21207779

Satriyo, A., Mutmainnah, E., Dewayani, M., & Dewi, D. S. (2018). Metastasis Kulit Tipe Karsinoma Erisipeloides Pada Pasien Dengan Riwayat Kanker Payudara. Media Dermato-Venereologica Indonesiana, 45(1). https://doi.org/10.33820/mdvi.v45i1.14

Shah, F. H., Nam, Y. S., Bang, J. Y., Hwang, I. S., Kim, D. H., Ki, M., & Lee, H.-W. (2025). Targeting vascular endothelial growth receptor-2 (VEGFR-2): Structural biology, functional insights, and therapeutic resistance. Archives of Pharmacal Research, 48(5), 404–425. https://doi.org/10.1007/s12272-025-01545-1

Sung, H., Ferlay, J., Siegel, R. L., Laversanne, M., Soerjomataram, I., Jemal, A., & Bray, F. (2021). Global cancer statistics 2020: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries. CA: A Cancer Journal for Clinicians, 71(3), 209–249. https://doi.org/10.3322/caac.21660

Swapana, N., Tominaga, T., Elshamy, A. I., Ibrahim, M. A. A., Hegazy, M.-E. F., Brajakishor Singh, Ch., Suenaga, M., Imagawa, H., Noji, M., & Umeyama, A. (2018). Kaemgalangol A: Unusual seco-isopimarane diterpenoid from aromatic ginger Kaempferia galanga. Fitoterapia, 129, 47–53. https://doi.org/10.1016/j.fitote.2018.06.010

Wolber, G., & Langer, T. (2005). LigandScout: 3-D pharmacophores derived from protein-bound ligands and their use as virtual screening filters. Journal of Chemical Information and Modeling, 45(1), 160–169. https://doi.org/10.1021/ci049885e

Xiong, G., Wu, Z., Yi, J., Fu, L., Yang, Z., Hsieh, C., Yin, M., Zeng, X., Wu, C., Lu, A., Chen, X., Hou, T., & Cao, D. (2021). ADMETlab 2.0: An integrated online platform for accurate and comprehensive predictions of ADMET properties. Nucleic Acids Research, 49(W1), W5–W14. https://doi.org/10.1093/nar/gkab255

Yan, Y., Zuo, X., & Wei, D. (2015). Concise Review: Emerging Role of CD44 in Cancer Stem Cells: A Promising Biomarker and Therapeutic Target. Stem Cells Translational Medicine, 4(9), 1033–1043. https://doi.org/10.5966/sctm.2015-0048

Yang, J.-G., Wang, L.-L., & Ma, D.-C. (2018). Effects of vascular endothelial growth factors and their receptors on megakaryocytes and platelets and related diseases. British Journal of Haematology, 180(3), 321–334. https://doi.org/10.1111/bjh.15000

Yao, F., Huang, Y., Wang, Y., & He, X. (2018). Anti-inflammatory diarylheptanoids and phenolics from the rhizomes of kencur (Kaempferia galanga L.). Industrial Crops and Products, 125, 454–461. https://doi.org/10.1016/j.indcrop.2018.09.026

Yasmin, M., & Beloshe, V. (2025). Pharmacophore modeling in drug design. In Advances in Pharmacology (Vol. 103, pp. 313–324). Academic Press. https://doi.org/10.1016/bs.apha.2025.01.010

Zhu, X., & Zhou, W. (2015). The Emerging Regulation of VEGFR-2 in Triple-Negative Breast Cancer. Frontiers in Endocrinology, 6. https://doi.org/10.3389/fendo.2015.00159

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Published

31-10-2026

How to Cite

Purnomo, K. G., Christy, G. D. A. B., Ningsih, J. D., Aurellia, J. S., & Novitasari, D. (2026). Galangal Rhizomes Phytoconstituents as VEGFR2 Inhibitors in Breast Cancer: Computational studies. Biota : Jurnal Ilmiah Ilmu-Ilmu Hayati, 11(3), 405–418. https://doi.org/10.24002/biota.v11i3.12790