Better Lead Optimization with AI

Traditional antibody optimization approaches often result in drug candidates with suboptimal binding affinity, developability or immunogenicity.

In this technical poster we show that deep contextual LLMs trained on high-throughput affinity data can quantitatively predict binding of unseen antibody sequence variants, along with associated measures for optimizing drug developability and immunogenicity.

Download the poster for more details.