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While decades-old cytotoxic chemotherapy that aims to kill tumor cells has had variable success rates, recently, scientists have produced remarkable results with targeted therapies such as cytostatic chemotherapy, which uses anti-cancer drugs to prevent cancer cell proliferation. This project aims to use machine learning models, including 3 dimensional convolutional neural networks to classify checkpoint inhibitors, a type of cytostatic chemotherapy drug, from large pools of molecules. 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