Structure-based virulence factor classification using a dual-driven graph transformer with a pretrained language model
Abstract Bacterial pathogenicity relies on a multitude of virulence factors (VFs). Identifying these factors is crucial for comprehending the molecular mechanisms driving bacterial pathogenesis and pinpointing potential targets for antivirulence strategies. While the identification of VFs has received extensive attenti...