Protein Engineering with Machine Learning (ML) for Specificity-Guided Development of Soluble TCR Engagers
Time: 10:50 am
day: Conference Day Two
Details:
• Specificity-guided affinity maturation. High sensitivity functional screens identify problematic off-targets early on
• Expansion of the physically screenable sequence space with ML models. Coupling highthroughput data generation with ML predicts affinity- and specificity-enhanced variants
• Activity-guided selection of optimal molecular format. Functional screening of TCR format library identifies optimal TCR-immunoligand configurations
