The MoleculeACE (Molecule Activity Cliff Estimation) dataset contains bioactivity data for 30 different ChEMBL targets with corresponding protein sequences. This dataset is designed to assess how well molecular machine learning models can handle activity cliffs - pairs of molecules that are structurally similar but show large differences in biological activity.
