Yi Zhou

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.

BioLab uses a multi-agent system with foundation models to autonomously design and validate antibodies, achieving superior performance compared to existing methods.

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 uses computational modeling and transcriptomic data to show that cancer cell phenotypes can be explained by Fenton reaction-driven proton production and reprogrammed metabolisms.