Round Table: Closing the Design-Build-Test-Learn Loop for Multispecific Antibody Discovery & Candidate Selection

• Combining computational and experimental workflows to identify and refine bispecific candidates
• Determining what data is most valuable for informing and improving protein design models
• Building effective feedback loops between in silico prediction and experimental validation
• Key challenges in translating engineered multispecific antibodies from discovery through candidate selection

Speakers:

Melissa Geddie

Senior Vice President, Drug Discovery

Diagonal Therapeutics