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ZENODO
Article . 2025
License: CC BY
Data sources: ZENODO
ZENODO
Article . 2025
License: CC BY
Data sources: Datacite
ZENODO
Article . 2025
License: CC BY
Data sources: Datacite
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Investigation the Binding Interactions and Potential of Bioactive Phytocompounds Derived from Madhuca longifolia var. latifolia (Roxb.) A. Chev. through Molecular Docking

Authors: Deepshikha Ganveer*1, Sujata Valvi2;

Investigation the Binding Interactions and Potential of Bioactive Phytocompounds Derived from Madhuca longifolia var. latifolia (Roxb.) A. Chev. through Molecular Docking

Abstract

Medicinal plants are a valuable source of bioactive compounds with anticancer potential. Madhuca longifolia, traditionally used for inflammation and metabolic disorders, contains phytochemicals such as lupeol, gamma-tocopherol, stigmasterol, and betulin with reported cytotoxic and antioxidant properties. This study employed molecular docking to assess their interactions with Estrogen Receptor Alpha (ERα, PDB ID: 6URG), a key target in MCF-7 breast cancer cells. Docking was performed using CB-Dock/AutoDock Vina, and complexes were analyzed for binding affinity, cavity volume, and interaction profiles. Results showed that pocket C4 consistently offered the most favorable binding site for lupeol (-10.2 kcal/mol) and stigmasterol (-10.7 kcal/mol), supporting stable and specific interactions. Gamma-tocopherol bound moderately (-8.3 kcal/mol), whereas betulin exhibited weak binding (-3.2 kcal/mol) in the largest cavity (C1, 33,075 ų), highlighting that cavity size alone does not ensure effective binding. These findings identify lupeol and stigmasterol as promising leads for further in vitro and in vivo evaluation against MCF-7 breast cancer.

Keywords

Madhuca longifolia, Lupeol, Stigmasterol, Molecular Docking, MCF-7 Breast Cancer, Estrogen Receptor Alpha, In Silico Drug Design, Natural Anticancer Agents.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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Cancer Research