Abstract Recent deep learning-based methods have advanced chemical retrosynthesis. However, they neglect side reactions, strong competitors to desired synthesis reactions that reduce the yield of anticipated product molecules. To identify side-reaction sites, we introduce an atom representation learning framework, SideReact, which explores synthesis reactions from a top-down chemical perspective (i.e., from reaction to motif, to property, and to quantum w.r.t. atoms).
