Survey of machine learning strategies for multi-objective antibody design, comparing computational optimization and de novo approaches and highlighting workflow advances for developers.
Key Takeaways
- Lead antibodies are commonly engineered to optimize one or more key properties
- Particularly when targeting pre-selected epitopes or challenging
- Alternative text for this image may have been generated using AI