Roger Shek

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 paper shows that enolase inhibitors, specifically HEX, are effective against Naegleria fowleri by inhibiting its glycolytic pathway and extending survival in infected rodents.

The paper predicts SARS-CoV-2 B-cell epitopes using computational methods and validates them with ELISA, finding two antigens with high sensitivity and specificity for serological diagnosis of COVID-19.