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Study screens halogenated flavonoids for PI3Kα inhibition in breast cancer, suggesting enhanced therapeutic options.
Breast cancer is one of the leading causes of oncological mortality among women worldwide. Hyperactivation of the Phosphoinositide 3-kinase alpha (PI3Kα) signaling pathway plays a fundamental role in tumor cell proliferation, survival, metabolic reprogramming, and development of endocrine drug resistance, rendering it a highly sought-after therapeutic target. Natural flavonoids extracted from Syzygium species possess well-documented antioxidant and anti-proliferative capabilities; however, their synthetic modification via strategic halogenation offers a novel chemical space to potentially optimize binding affinities and pharmacokinetic behaviors. In the present work, a structure-based in silico molecular docking screening of several natural Syzygium flavonoids—including Luteolin derivatives (Luteolin 3-methyl ether, Luteolin 4-methyl ether, Luteolin 5-methyl ether, Luteolin 7-methyl ether, and 6-Methoxyluteolin) and Chrysin derivatives (Chrysin, Tectochrysin, 6,8-Dimethylchrysin, Chrysin 5,7-dimethyl ether, and Chrysin dimethyl ether)—alongside their prioritized halogenated analogues (6-bromo-luteolin and 3-iodochrysin) was carried out to evaluate their inhibitory potential against the ATP-binding pocket of the PI3Kα enzyme. Computational virtual screening was performed using AutoDock Vina, and the visualization of the precise macromolecular interaction pathways was evaluated with a visualizer tool. The binding affinity results were compared directly against Alpelisib, a standard synthetic clinically approved PI3Kα inhibitor. The halogenated derivatives (6-bromo-luteolin and 3-iodochrysin) exhibited exceptional binding energies that surpassed both their non-halogenated parent natural compounds and the standard drug, primarily due to the creation of stable, directional halogen bonds alongside conventional hydrogen-bonding cascades and aromatic π-stacking networks with key catalytic pocket residues (such as Val851 and Asp933).
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Sopan et al. (2026) studied this question.
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