We used graph neural networks trained on experimental data to identify senolytic compounds from vast chemical libraries of over 800,000 compounds and discovered structurally diverse senolytics that have potent in vitro and in vivo activity, as well as favorable medicinal chemistry properties.
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This is a summary of: Wong, F., Omori, S., Donghia, N. M., Zheng, E. J. & Collins, J. J. Discovering small-molecule senolytics with deep neural networks. Nat. Aging https://doi.org/10.1038/s43587-023-00415-z (2023).
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Artificial intelligence identifies new small-molecule senolytics. Nat Aging 3, 640–641 (2023). https://doi.org/10.1038/s43587-023-00422-0
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DOI: https://doi.org/10.1038/s43587-023-00422-0
