Abstract Antimicrobial peptides (AMPs) are peptide antibiotics with a broad spectrum of antimicrobial activities. Activity prediction of AMPs from their amino acid sequences is of great therapeutic importance but imposes challenges on prediction methods due to label interactions. In this paper we propose a novel multi-label learning model to address this problem. https://www.roneverhart.com/Verragio-Paradiso-Round-Diamond-Engagement-Ring-Setting-0-55-CTW-p5464/