Zhangli Lu

AbAgKer: a unified semi-supervised framework for antigen-antibody binding affinity and kinetics prediction

This work designs a biological prior-guided feature fusion framework that integrates pseudo-structural epitope knowledge and CDR-specific attention mechanisms via a mixture-of-experts architecture to effectively capture complex binding landscapes in antibody screening and drug residence time analysis.