In the past several years there has been rapid adoption
of artificial
intelligence (AI) and machine learning (ML) tools for drug discovery.
In this Microperspective, we comment on recent AI/ML applications
to the discovery of allosteric modulators, focusing on breakthroughs
with AlphaFold, structure-based drug discovery (SBDD), and medicinal
chemistry applications. We discuss how these technologies are facilitating
drug discovery and the remaining challenges to identify allosteric
binding sites and ligands.