The team of Jun KIKUCHI at RIKEN has developed a method which predicts chemical shifts in NMR in high accuracy by combining quantum chemistry theory (deductive procedure) and machine learning using 91 types of learning algorithms (inductive approach). The utility of the model was demonstrated by applying it to assignments of experimental NMR signals of a complex metabolic mixture.

RIKEN news release, September 12, 2018