Recent advances in computational and machine learning sciences have had a substantial impact on the antibody discovery process. Novel protocols that incorporate computational approaches can now be used to generate functional antibody therapeutics with good developability. In silico methods complement existing experimental strategies, and their use has become more mainstream in the biopharmaceutical industry. However, the application of computational de novo design strategies requires a thorough understanding of their capabilities, limitations, and experimental validation, as well as their place in the overall discovery pipeline and value chain.

In this virtual Symposium, leading experts in computational antibody discovery from academia and industry discuss their scientific strategies and progress to date. The event aims to provide a platform for better understanding of the breakthroughs and future directions in this multidisciplinary field, through talks, a panel session, and your questions and insights. The Symposium begins with speakers Drs. Pietro Sormanni, Tzvika Hartman Victor Greiff, Sandeep Kumar, and Ben Holland. The panel session, moderated by Dr. Konrad Krawczyk, includes Drs. Jiye Shi and Sandeep Kumar, Victor Greiff, and Ben Holland.