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Penn engineers develop AI tool to design peptides that turn signals on or off

Researchers at the University of Pennsylvania and Chinese University of Hong Kong created TD3B, an AI framework guiding peptide generation toward candidates predicted to have a desired effect. The tool predicts binding likelihood and determines activation or deactivation of associated cellular machinery.

SourceUniversity of Pennsylvania School of Engineering and Applied Science·TypeComputational simulation/modeling·DateJul 9, 2026
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Understanding GLP-1 signaling: A path to better therapies

A new study finds that a novel GLP-1 receptor agonist, Exendin-4-Phe (Ex-Phe-1), preserves glycemic control while reducing malaise and vomiting behaviors in preclinical models. The compound uses biased agonism to selectively activate certain signaling pathways, achieving desired effects without triggering others.

SourceUniversity of Pennsylvania·JournalDiabetes Obesity and Metabolism·TypeExperimental study·DateFeb 26, 2026