AMPCliff: Quantitative definition and benchmarking of activity cliffs in antimicrobial peptides

Our findings highlight limitations in current deep learning-based representation models. To more accurately capture the properties of antimicrobial peptides (AMPs), it is essential to integrate atomic-level dynamic information that reflects their underlying mechanisms of action.