 AtomNet is a deep learning system for structure-based rational drug design.AtomNet was used to predict novel candidate biomolecules for disease targets such as the Ebola virus and multiple sclerosis.In 2019 generative neural networks were used to produce molecules that were validated experimentally all the way into mice.