Suppr超能文献

G蛋白偶联受体仍是新靶点的来源吗?

Are GPCRs still a source of new targets?

作者信息

Garland Stephen L

机构信息

1NQuiX Ltd, Stevenage Bioscience Catalyst, Stevenage SG1 2FX, UK.

出版信息

J Biomol Screen. 2013 Oct;18(9):947-66. doi: 10.1177/1087057113498418. Epub 2013 Aug 14.

Abstract

G-protein-coupled receptors (GPCRs) still offer enormous scope for new therapeutic targets. Currently marketed agents are dominated by those with activity at aminergic receptors and yet they account for only ~10% of the family. Progress up until now with other subfamilies, notably orphans, Family A/peptide, Family A/lipid, Family B, Family C, and Family F, has been, at best, patchy. This may be attributable to the heterogeneous nature of GPCRs, their endogenous ligands, and consequently their binding sites. Our appreciation of receptor similarity has arguably been too simplistic, and screening collections have not necessarily been well suited to identifying leads in new areas. Despite the relative shortage of high-quality tool molecules in a number of cases, there is an emerging, and increasingly substantial, body of evidence associating many as yet "undrugged" receptors with a very wide range of diseases. Significant advances in our understanding of receptor pharmacology and technical advances in screening, protein X-ray crystallography, and ligand design methods are paving the way for new successes in the area. Exploitation of allosteric mechanisms; alternative signaling pathways such as G12/13, Gβγ, and β-arrestin; the discovery of "biased" ligands; and the emergence of GPCR-protein complexes as potential drug targets offer scope for new and much improved drugs.

摘要

G蛋白偶联受体(GPCRs)作为新的治疗靶点仍具有巨大潜力。目前上市的药物主要是作用于胺能受体的药物,但这类药物仅占该家族的10%左右。到目前为止,在其他亚家族,尤其是孤儿受体、A类/肽类、A类/脂类、B类、C类和F类受体方面的进展充其量只是参差不齐。这可能归因于GPCRs及其内源性配体的异质性,进而导致它们结合位点的异质性。我们对受体相似性的认识可能过于简单化,而且筛选库不一定适合在新领域中寻找先导化合物。尽管在许多情况下高质量的工具分子相对短缺,但越来越多的证据表明,许多尚未开发的受体与多种疾病有关。我们对受体药理学理解的重大进展以及筛选、蛋白质X射线晶体学和配体设计方法的技术进步,为该领域取得新的成功铺平了道路。对变构机制的利用;G12/13、Gβγ和β-抑制蛋白等替代信号通路;“偏向性”配体的发现;以及GPCR-蛋白质复合物作为潜在药物靶点的出现,为开发新的、疗效更佳的药物提供了空间。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验