Machine learning model identifies chemical features driving cancer drug localization, paving way for more targeted therapies
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Cancer drugs tend to concentrate in certain cellular compartments called condensates rather than dispersing evenly.
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Researchers trained a machine learning model to predict which condensates a drug will concentrate in based on its chemical features.
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The model found drugs that favor certain condensates tend to have shared chemical features.
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Understanding where drugs localize could help design more effective drugs with fewer side effects.
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Condensates likely impact distribution of molecules relevant to many cellular processes and diseases.
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