Improving synthesis prediction of small molecules at scale with RetroChimera
AI Summary: RetroChimera, a retrosynthesis model, was recently published in Nature, combining two strong models with complementary strengths to automatically propose high-quality synthesis routes. The model architecture and extensive validation studies, including recall of rare reaction types and zero-shot transfer, are described in the paper. RetroChimera's implementation and weights are open-sourced to accelerate development of new medicinally relevant molecules and advanced materials. In blind tests, PhD-level chemists preferred RetroChimera's individual reaction predictions over preceding models and recorded literature reactions.