Protein Engineering with Machine Learning (ML) for Specificity-Guided Development of Soluble TCR Engagers

Time: 10:50 am
day: Conference Day Two


• 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