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Episode: 62 - AI/ML in Antibody Discovery and Engineering: Reality, Hope, Future, and Hype

The Chain: Protein Engineering Podcast

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AI in Antibody Characterization: Value, Challenges, and Benchmarking

This chapter explores the application of AI in antibody characterization, emphasizing on developability properties and the need for benchmarking AI capabilities. It discusses the use of machine learning in antibody engineering for multi-objective optimization and creating molecules with emergent properties. The speakers delve into the challenges of benchmarking AI/ML methods in antibody discovery and engineering, highlighting the importance of shared datasets and appropriate tools for rigorous comparisons.

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