Di Tang

The paper maps the structural epitope landscape of pneumolysin and identifies a conserved cross-species neutralising site among cholesterol-dependent cytolysins.

ppIRIS predicts bacterial protein-protein interactions using deep learning, achieving high accuracy and enabling proteome-wide screening, with applications in identifying virulence pathways and host-pathogen interactions.

This paper designs an epitope-centric nanoparticle vaccine against Streptococcus pyogenes using structural mass spectrometry and deep learning to enhance immunogenicity.

This paper introduces a novel MS score framework for analyzing polyclonal antibodies, demonstrating its ability to identify antibody subgroups and predict interactions.

BoPep identifies peptide binders to specific proteins by efficiently navigating sequence space, reducing docking evaluations and discovering novel therapeutic peptides.

This study shows that streptolysin O enhances plasminogen to plasmin conversion by interacting with plasminogen and altering its conformation to increase sensitivity to proteolytic processing.

This study uses multi-modal mass spectrometry to identify a conserved protective epitope in Streptolysin O from S. pyogenes, which could inform vaccine and therapeutic development.

This study shows that increasing Fc flexibility in an IgG1-IgG3 hybrid monoclonal antibody enhances opsonic function and protection against group A streptococci.

This study develops multienzyme deep learning models for de novo peptide sequencing from mass spectrometry data, showing improved generalizability and sequence coverage across diverse protease digests and species.