
Episode: 62 - AI/ML in Antibody Discovery and Engineering: Reality, Hope, Future, and Hype
The Chain: Protein Engineering Podcast
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Challenges and Innovations in ADA Data Analysis
The chapter delves into the complexities of analyzing ADA data, emphasizing the necessity of larger datasets for understanding immunogenicity in antibody discovery. It discusses survivor bias in preclinical assessment, the variability of ADA based on different HLA types, and the intricate nature of TCR-MHC interactions.
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