Ligand selector steers C–N cross-couplings down most sustainable path

Researchers have used machine learning to develop a tool that predicts which ligands for a metal-catalysed coupling reaction will result in a synthetic route with the lowest environmental and financial cost. The idea could be expanded into a system to help pharmaceutical organisations select how to manufacture a drug.