Per Jr Greisen

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 presents an AI framework to design common light chains for bispecific antibodies, reducing experimental screening and enabling production-ready antibodies for 7 out of 10 targets.

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.

The paper designs EndoTags to trigger endocytosis and degradation of target proteins, enabling tissue-specific targeting and therapeutic applications.