Yifan Li

This paper presents a computational pipeline for designing VHH nanobodies against LGR5 without structural templates, resulting in high-affinity, stable binders validated by cryo-EM.

This paper computationally designs soluble CCR8 analogues that retain native antibody binding, achieving a 62% success rate with preserved structural and functional properties.

This study benchmarks AI models for antibody CDR sequence design, finding that specialized models like AntiFold perform better in complex regions while general models struggle with antibody-specific nuances.