AI-Guided Receptor Engineering to Improve Performance in Cell Therapies

In a new study published in GEN’s sister peer-review journal, GEN Biotechnology, titled,Exploring Structure-Function Relationships in Engineered Receptor Performance Using Computational Structure Prediction, researchers from Northwestern University present a new structure-based analysis to guide the design of synthetic receptors for improved cell therapies.  

“A key challenge is that subtle structural changes can have profound functional consequences, and thus cell therapies can benefit from improved methods for tuning receptor functions at the structural level,” said Joshua Leonard, PhD, professor of chemical and biological engineering at Northwestern University and corresponding author of the study, in an interview with GEN. 

In cell therapies, engineered receptors need to encompass both…

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