There is an urgent and growing need to provide highaccuracy training data for machine learning (ML) applications. This is especially true for biological systems, where understanding protein-ligand interactions is crucial for advancing drug discovery and where ML-based screening is playing an increasingly prominent role. Integration of quantum chemistry with ML has the potential to revolutionize computational biology and to reduce the cost of drug discovery by enabling the use of non-empirical screening tools.