Assessing the translation of AI-prioritized genome-derived peptide fragments into validated antimicrobial candidates
This study provides an experimental assessment of model-guided AMP discovery and a reproducible route from computational prediction to validated antimicrobial candidates, while revealing biases and generalizability limits of AI-based AMP inference.