Protein Engineering with Machine Learning (ML) for Specificity-Guided Development of Soluble TCR Engagers
Time: 11:30 am
day: DAY TWO TRACK 1 A
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 high-throughput 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
