Complex molecule synthesis involves speculative retrosynthetic planning and resource-intensive experimental evaluation. Now, a complementary strategy is reported that combines human-generated synthetic plans with computational prediction to accelerate this process. A machine learning model was trained to predict the yield of radical cyclization and guide the syntheses of clovane sesquiterpenoids.
- Pengpeng Zhang
- Jungmin Eun
- Timothy R. Newhouse
