A new machine-learning technique can predict how molecules will react with one another under varying conditions. The method could allow researchers to extract basic chemistry insights and to speed the development of commercially important molecules, like pharmaceuticals. By using machine learning to analyze large correlational studies, this method can reveal new chemical, genomic and proteomic relationships.