Members of the research community at Microsoft work continuously to advance their respective fields. Abstracts brings its audience to the cutting edge with them through short, compelling conversations about new and noteworthy achievements. In this episode, Senior Principal Research Manager Tao Qin (https://www.microsoft.com/en-us/research/people/taoqin/) and Senior Researcher Lijun Wu (https://www.microsoft.com/en-us/research/people/lijuwu/) discuss “FABind: Fast and Accurate Protein-Ligand Binding.” The paper, accepted at the 2023 Conference on Neural Information Processing Systems (NeurIPS), introduces a new method for predicting the binding structures of proteins and ligands during drug development. The method demonstrates improved speed and accuracy over current methods.Learn more:* FABind: Fast and Accurate Protein-Ligand Binding (https://www.microsoft.com/en-us/research/publication/fabind-fast-and-accurate-protein-ligand-binding/)* FABind code on GitHub (https://github.com/QizhiPei/FABind)