Identification of potential matrix metalloproteinase-2 inhibitors from natural products through advanced machine learning-based cheminformatics approaches

Research article (Molecular Diversity, 2022) · cited 10× · AI/ML
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Identification of potential matrix metalloproteinase-2 inhibitors from natural products through advanced machine learning-based cheminformatics approaches

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Identification of potential matrix metalloproteinase-2 inhibitors from natural products through advanced machine learning-based cheminformatics approaches is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Identification of potential matrix metalloproteinase-2 inhibitors from natural products through advanced machine learning-based cheminformatics approaches. Retrieved May 24, 2026, from https://4ort.xyz/entity/identification-of-potential-matrix-metalloproteinase-2-inhibitors-from-natural-products-through-advanced-machine-learnin
MLA “Identification of potential matrix metalloproteinase-2 inhibitors from natural products through advanced machine learning-based cheminformatics approaches.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/identification-of-potential-matrix-metalloproteinase-2-inhibitors-from-natural-products-through-advanced-machine-learnin.
BibTeX @misc{4ortxyz_identification-of-potential-matrix-metalloproteinase-2-inhibitors-from-natural-products-through-advanced-machine-learnin_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Identification of potential matrix metalloproteinase-2 inhibitors from natural products through advanced machine learning-based cheminformatics approaches}}, year = {2026}, url = {https://4ort.xyz/entity/identification-of-potential-matrix-metalloproteinase-2-inhibitors-from-natural-products-through-advanced-machine-learnin}, note = {Accessed: 2026-05-24}}
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