What are the challenges in antibody drug discovery — and how can they be addressed

Antibody discovery requires optimization across multiple dimensions, including target engagement, functional activity, immunogenicity, and developability. Connected, data-driven workflows help teams make better decisions earlier and continuously improve antibody candidates.

key points:

• Integrate sequence design and molecular modeling across antibody variants.
• Combine functional testing with developability assessment.
• Connect design and experimental data to prioritize stronger candidates.