In this episode of The Chain, host Nimish Gera, Ph.D., vice president of biologics at Mythic Therapeutics, speaks with Peyton Greenside, CSO and co-founder of BigHat Biosciences, about the role of AI and machine learning in antibody engineering and targeting complex modalities, including bispecifics and ADCs. Greenside also discusses the work her organization does, what BigHat is doing to ensure the quality of data to train their AI models with, the methods of approaching harder targets such as GPCRs, and certain properties that AI can optimize better.

In this episode of The Chain, host Brandon DeKosky, associate professor at MIT, speaks with Andrew Kruse, PhD, professor of biological chemistry and molecular pharmacology at Harvard University, about protein signaling and structural biology. Kruse explains what exactly bias signaling is and discusses the problems he and his team are working to resolve, as well as the tools they use to work out the dynamics of structures. He also shares the findings in signaling receptors and biology that he’s most excited about, recent advancements that have caught his attention, and the new directions for him and his lab.

his special episode of The Chain features a panel of industry experts who discussed AI and ML in antibody discovery and engineering at this year’s PEGS Boston event. Peter Tessier, professor at the University of Michigan; Andrew Bradbury, CSO at Specifica; Andrew Waight, Senior Director of Machine Learning, Discovery Biologics & Protein Sciences at Merck Research Labs; Peyton Greenside, Co-Founder & CSO of BigHat Biosciences; and Paolo Marcatili, Director of Antibody Design at Novo Nordisk take on where AI/ML has the biggest impact, what the hype is in the use of AI/ML in antibody discovery, how new AI/ML methods are being benchmarked against traditional discovery methods, and what controls should be used in an AI/ML discovery or optimization campaign.