Retrosynthetic reaction pathway prediction through neural machine translation of atomic environments

Abstract

Reaction route planning remains a major challenge in organic synthesis. The authors present a retrosynthetic prediction model using the fragment-based representation of molecules and the Transformer architecture in neural machine translation.