Deep Machine Learning for Computer-Aided Drug Design

In recent years, deep learning (DL) has led to new scientific developments with immediate implications for computer-aided drug design (CADD). These include advances in both small molecular and macromolecular modeling, as highlighted herein. Going forward, these also challenge CADD different ways require further progress fully realize their potential discovery. For CADD, are exciting times at the very least, dynamics of discipline will increase.