Revealing the limits of covalent docking and advancing affinity prediction with covalent-aware multi-task learning

Targeted covalent inhibitors (TCIs) have become an important modality in modern drug discovery, but computational tools for covalent pose prediction and quantitative affinity ranking remain underdeveloped.