Enhancing retrosynthetic efficiency requires overcoming the vast complexity of chemical space, the limited known interconversions between molecules, and the challenges posed by limited experimental datasets. Here, the authors introduce generative machine learning methods for retrosynthetic planning that generate reaction templates.
- Yu Shee
- Haote Li
- Victor S. Batista
