Addressing an important challenge faced: AI/ML assisted antibody engineering - revolution or hype?
22 Sep 2025
AI & Machine Learning
- How can AI/ML models effectively integrate the intricate relationships between protein sequence, structure, function, and dynamics to advance protein engineering capabilities beyond current limitations?
- What are the primary limitations for the application of AI/ML in protein engineering?
- How to interpret complex AI/ML models to foster greater understanding and applicability in protein engineering?
- What are the main hurdles in ensuring that AI/ML models trained on existing protein data can reliably generalize and accurately predict the properties of novel, unseen protein sequences?
- What are the key obstacles encountered when attempting to experimentally validate proteins designed using AI/ML methods, and how can the gap between in silico predictions and wet lab results be bridged?
Industry Expert
