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molecular-targeting

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Molecular-targeting refers to techniques that selectively identify and interact with specific molecules within plant cells to achieve precise biological effects. This approach is essential in plant science research for developing improved crop varieties, understanding plant physiology, and treating plant diseases with greater precision and minimal off-target effects. By enabling intervention at the molecular level, these techniques accelerate agricultural innovation while improving the efficiency and safety of plant biotechnology applications.

Amentoflavone from Ginkgo biloba inhibits EMT-driven lung cancer metastasis by targeting TGFBR2: Integrative network pharmacology, machine learning, and experimental validation.

PubMed · 2026-03-25

Researchers discovered that amentoflavone, a natural compound from Ginkgo biloba, can prevent lung cancer from spreading by blocking a key protein involved in cancer cell migration. Laboratory and animal studies show the plant-derived compound successfully stopped cancer metastasis without the severe side effects typical of conventional treatments.

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Machine learning model achieved 95.1% accuracy (AUC 0.951) on internal testing and 81.4% accuracy (AUC 0.814) on external validation, demonstrating robust predictive power for target identification

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Amentoflavone reduced lung cancer cell migration by downregulating TGFBR2 protein and inhibiting Smad2/3 phosphorylation, effectively reversing epithelial-mesenchymal transition (EMT)

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In vivo mouse studies confirmed AMF suppressed pulmonary metastasis by dampening the TGF-β/Smad signaling pathway, with no significant toxicity observed