Issue |
BIO Web Conf.
Volume 172, 2025
International Conference on Nurturing Innovative Technological Trends in Engineering – BIOscience (NITTE-BIO 2025)
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Article Number | 02010 | |
Number of page(s) | 11 | |
Section | Bioinformatics / Computational Biology | |
DOI | https://doi.org/10.1051/bioconf/202517202010 | |
Published online | 10 April 2025 |
In Silico Evaluation of Alpha Mangostin and its Derivatives as a potential Anti-Cancer Agents
Department of Biotechnology, K. S. Rangasamy College of Technology, Tiruchengode, Tamil Nadu, India.
* Corresponding author: harinirakshithaa@gmail.com
Alpha-Mangostin, a natural xanthone from Garcinia mangostana, and its structurally optimized derivatives were evaluated as anticancer agents targeting estrogen receptor proteins linked to breast cancer: Estrogen Receptor Alpha(3ERT), Estrogen Receptor Bound to Estradiol(1ERE), and Estrogen Alpha Ligand-Binding Domain Complex(1A52). Alpha-Mangostin functional groups were modified, and derivatives were optimized and ADME properties assessed to predict the pharmacokinetics and drug-likeness. Molecular docking studies disclosed strong binding affinities of the derivatives at the active sites of the target protein, some of which manifested superior stability and higher affinity than the parent compound. Pharmacophore modeling had identified the critical molecular features as supporting these derivatives as highly promising lead compounds for further development of drugs targeting estrogen receptor pathways in breast cancer.
Key words: Alpha Mangostin / Anticancer agent / Estrogen receptor Alpha / Molecular Docking / Pharmacophore model
© The Authors, published by EDP Sciences, 2025
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