🎉 Our paper “DeepAMP A Foundation Model Identifies Broad-Spectrum Antimicrobial Peptides against Drug-Resistant Bacterial Infection” is published in Nature Communications! In this study, we developed deepAMP, a peptide language-based deep generative framework designed to expedite the discovery of potent, broad-spectrum antimicrobial peptides (AMPs). By employing a novel sequence degradation strategy and multi-stage fine-tuning, we identified 29 high-potential candidates. These peptides proved effective in treating P. aeruginosa skin wound infections in mouse models with excellent biocompatibility.