Daniel Zimmerli

Advancing chemical reaction prediction in data-scarce drug discovery with active and geometric deep learning

Abstract The success of generative molecular design depends on the synthetic accessibility of the molecules it creates. While computational models can help predict chemical reactions, their current effectiveness is limited by a lack of reference data and the difficulty of accurat...