Machine learning model identifies chemical features driving cancer drug localization, paving way for more targeted therapies

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

phys.org

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Posted 9/29/2023, 2:40:06 PM