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Author Spotlight: Exploring Cellular Processes by Modeling Ligands in Cryo-EM Maps
Published on: July 19, 2024
Design, Structure-Activity Relationships, and Computational Modeling Studies of a Series of α-Helix Biased,
Jonathon R Sawyer1,2,3, Joseph A Audie4, Jon Swanson4
1Resolute Bio, 48 Dunham Rd., Suite 5400, Beverly, MA 01915, USA.
Abstract:
A systematic structure-activity and computational modeling analysis of a series of glucagon-like peptide-1 receptor (GLP-1R) agonists based upon an ultra-short GLP-1 peptide, H-His-Aib-Glu-Gly-Thr-Phe-Thr-Ser-Asp-Bip-Bip-NH2, was conducted. This highly potent 11-mer peptide led to a deeper understanding of the α-helical bias of strategic α-methylation within the linear parent template as well as optimization of GLP-1R agonist potency by 1000-fold. These data were correlated with previously reported co-structures of both full-length GLP-1 analogs and progenitor N-terminal GLP-1 fragment analogs related to such ultra-short GLP-1R agonist peptides. Furthermore, the development of a quantitative structure-activity relationship (QSAR) model to analyze these findings is described in this study.
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