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

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.

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Publication Details

Journal
Journal of Biota
Published
2026-10-31
DOI
https://doi.org/10.24002/biota.v11i3.12790
Primary Topic
Computational Drug Discovery Methods
Type
article
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article

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

Dhania Novitasari, Jahraema Deagustia Ningsih, Jihan Sadira Aurellia, Keisya Ghaliyah Purnomo et al.
Journal of Biota
Computational Drug Discovery Methods
article

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

Dhania Novitasari, Jahraema Deagustia Ningsih, Jihan Sadira Aurellia, Keisya Ghaliyah Purnomo, Gabriel Daendya Amalia Bintang Christy
article en

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.

Journal of Biota
Padjadjaran University (ID)
Openalex Percentile: Top 13%
Computational Drug Discovery Methods
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