Machine learning helps predict drugs' favorite subcellular haunts

Most drugs are small molecules that bind firmly to a specific target—some molecule in human cells that is involved in a disease—in order to work. For example, a cancer drug’s target might be a molecule that is abundant inside of cancer cells. The drug should hypothetically travel freely throughout the cell until it comes to its target and then lock onto it, leading to a therapeutic action.


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Source: Phys.org