A Structure-Informed Graph Neural Network for Short Antimicrobial Peptide Discovery and Validation.
GW-AMP demonstrated robust and balanced classification performance in both cross-validation and an independent test set, outperforming several established AMP prediction models, and indicated that secondary-structure features and amphipathic distribution are closely linked to peptide potency and selectivity.