Exploring structure-based drug discovery of GPCRs beyond the orthosteric binding site

hLife Pub Date : 2024-05-01 DOI:10.1016/j.hlife.2024.01.002
Zhao Chen , Xintong Ren , Yu Zhou , Niu Huang
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Abstract

G-protein coupled receptors (GPCRs) are the largest family of druggable targets. In recent years, GPCR structural biology has made great advances, revealing the three-dimensional structures of many GPCRs and their interactions with ligands, proteins, and membrane components, which also have inspired a surge of structure-based drug discovery campaigns. This article provides a comprehensive summary of the currently available structural insights into the allosteric pockets of GPCRs and their regulatory mechanisms governing GPCR conformational changes. Furthermore, this article also presents several structure-inspired studies that utilize both orthosteric and allosteric modulation to discover small molecular modulators targeting GPCRs. The article emphasizes the promising potential of drug discovery targeting GPCR allosteric sites, while acknowledging the challenges arising from the limited structural information regarding the lipids and cholesterols in the membrane. Finally, the article discusses the future prospects of using large-scale or focused compound libraries to discover novel chemotypes, as well as the application of artificial intelligence (AI) in structure-based virtual screening (SBVS) against GPCRs.

Abstract Image

超越正交结合位点,探索基于结构的 GPCR 药物研发
G 蛋白偶联受体(GPCR)是最大的药物靶点家族。近年来,GPCR 结构生物学取得了巨大进步,揭示了许多 GPCR 的三维结构及其与配体、蛋白质和膜成分的相互作用,这也激发了基于结构的药物发现活动的热潮。本文全面总结了目前可用的有关 GPCR 异构口袋的结构见解及其支配 GPCR 构象变化的调控机制。此外,本文还介绍了几项受结构启发的研究,这些研究利用正交和异位调节发现了针对 GPCR 的小分子调节剂。文章强调了针对 GPCR 异构位点的药物发现的巨大潜力,同时也承认了由于膜中脂质和胆固醇的结构信息有限而带来的挑战。最后,文章讨论了利用大规模或重点化合物库发现新型化学型的未来前景,以及人工智能(AI)在针对 GPCRs 的基于结构的虚拟筛选(SBVS)中的应用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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