Providing direction for mechanistic inferences in radical cascade cyclization using a Transformer model

Transformer, a sequence-to-sequence deep learning model, is capable of predicting the reaction intermediates of radical cascade cyclization. This study provides a novel approach to help chemists discover the mechanisms of organic reactions.