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Xin Y, Liu S, Liu Y, Qian Z, Liu H, Zhang B, Guo T, Thompson GJ, Stevens RC, Sharpless KB, Dong J, Shui W. Affinity selection of double-click triazole libraries for rapid discovery of allosteric modulators for GLP-1 receptor. Proc Natl Acad Sci U S A 2023; 120:e2220767120. [PMID: 36893261 PMCID: PMC10243133 DOI: 10.1073/pnas.2220767120] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2022] [Accepted: 02/02/2023] [Indexed: 03/11/2023] Open
Abstract
The recently developed double-click reaction sequence [G. Meng et al., Nature 574, 86-89 (2019)] is expected to vastly expand the number and diversity of synthetically accessible 1,2,3-triazole derivatives. However, it remains elusive how to rapidly navigate the extensive chemical space created by double-click chemistry for bioactive compound discovery. In this study, we selected a particularly challenging drug target, the glucagon-like-peptide-1 receptor (GLP-1R), to benchmark our new platform for the design, synthesis, and screening of double-click triazole libraries. First, we achieved a streamlined synthesis of customized triazole libraries on an unprecedented scale (composed of 38,400 new compounds). By interfacing affinity-selection mass spectrometry and functional assays, we identified a series of positive allosteric modulators (PAMs) with unreported scaffolds that can selectively and robustly enhance the signaling activity of the endogenous GLP-1(9-36) peptide. Intriguingly, we further revealed an unexpected binding mode of new PAMs which likely act as a molecular glue between the receptor and the peptide agonist. We anticipate the merger of double-click library synthesis with the hybrid screening platform allows for efficient and economic discovery of drug candidates or chemical probes for various therapeutic targets.
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Affiliation(s)
- Ye Xin
- iHuman Institute, ShanghaiTech University, Shanghai201210, China
- School of Life Science and Technology, ShanghaiTech University, Shanghai201210, China
- University of Chinese Academy of Sciences, Beijing100049, China
| | - Shuo Liu
- School of Chemistry and Chemical Engineering, Shanghai Jiao Tong University, Shanghai200240, China
| | - Yan Liu
- iHuman Institute, ShanghaiTech University, Shanghai201210, China
| | - Zhen Qian
- iHuman Institute, ShanghaiTech University, Shanghai201210, China
| | - Hongyue Liu
- iHuman Institute, ShanghaiTech University, Shanghai201210, China
- School of Life Science and Technology, ShanghaiTech University, Shanghai201210, China
- University of Chinese Academy of Sciences, Beijing100049, China
| | - Bingjie Zhang
- iHuman Institute, ShanghaiTech University, Shanghai201210, China
| | - Taijie Guo
- School of Chemistry and Chemical Engineering, Shanghai Jiao Tong University, Shanghai200240, China
| | | | - Raymond C. Stevens
- iHuman Institute, ShanghaiTech University, Shanghai201210, China
- School of Life Science and Technology, ShanghaiTech University, Shanghai201210, China
| | - K. Barry Sharpless
- Department of Chemistry, The Scripps Research Institute, La Jolla, CA92037
| | - Jiajia Dong
- School of Chemistry and Chemical Engineering, Shanghai Jiao Tong University, Shanghai200240, China
- Institute of Translational Medicine, Zhangjiang Institute for Advanced Study, National Facility for Translational Medicine (Shanghai), Shanghai Jiao Tong University, Shanghai200240, China
- Shanghai Artificial Intelligence Laboratory, Shanghai200232, China
| | - Wenqing Shui
- iHuman Institute, ShanghaiTech University, Shanghai201210, China
- School of Life Science and Technology, ShanghaiTech University, Shanghai201210, China
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