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Overlap between molecules predicted to be active on the target proteins by different methods—pharmacophore-based and machine learning (ML) and deep learning (DL)-based. The three methods agree on 16 molecules. The largest overlap between two methods are the 46 molecules predicted to be active by both models developed in TensorFlow and WEKA.
