science
Machine-learning atlas maps allosteric pockets across the human kinome
A bioRxiv preprint presents a machine-learning structural atlas of kinase inhibitor binding sites, built from 11,945 inhibitor complexes. The analysis suggests that evolutionary relationships between kinases can help predict shared access to allosteric drug pockets.