
Episode: 62 - AI/ML in Antibody Discovery and Engineering: Reality, Hope, Future, and Hype
The Chain: Protein Engineering Podcast
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Advancements in AI/ML for Antibody Discovery and Engineering
The chapter explores the utilization of AI and machine learning tools in antibody discovery and engineering, highlighting the progress made by organizations like Merck and NOVO. Speakers discuss the challenges and prospects in accurately predicting affinity, improving antibody-antigen interactions, and the significance of high-throughput experiments. Emphasis is placed on the importance of data-driven approaches, experimental techniques, and the need for calibrated uncertainty in AI models for effective decision-making.
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