• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

偏向激动剂分析。

Analysis of Biased Agonism.

机构信息

Department of Pharmacology, School of Medicine, University of California, Irvine, CA, United States.

出版信息

Prog Mol Biol Transl Sci. 2018;160:63-104. doi: 10.1016/bs.pmbts.2018.08.001. Epub 2018 Oct 15.

DOI:10.1016/bs.pmbts.2018.08.001
PMID:30470293
Abstract

Agonists and most natural ligands bind to receptors in their inactive state and quickly induce an active receptor conformation that initiates cell signaling. The active receptor state initiates signaling because of its structural complementariness with coupling proteins that activate signaling pathways, such as G proteins and G protein-coupled receptor kinases. Agonist bias refers to the propensity of an agonist to direct receptor signaling through one pathway relative to another. Thus, if the agonist exhibits much higher affinity for active state 1 compared to active state 2, it will cause a robust activation of receptor coupling protein 1 but not 2, and ultimately, a preferential stimulation of signaling pathway 1. Biased agonists are potentially more selective therapeutic agents because there are numerous cases where the therapeutic and adverse effects of an agonist are mediated by distinct pathways involving G proteins and β-arrestin. Given the mechanism for agonist bias, the most straightforward approach for quantifying bias involves the estimation of agonist affinity for the inactive receptor state and the active receptor states involved in signaling through different pathways. The approach provides quantitative estimates of the sensitivities of different signaling pathways, enabling one to determine to what extent the observed selectivity is caused by agonist or system bias. In addition, the approach is a powerful adjunct to in silico docking studies and can be applied to in vivo assays, structure-activity relationships, and the analysis of published agonist concentration-response curves.

摘要

激动剂和大多数天然配体与处于非活性状态的受体结合,并迅速诱导产生起始细胞信号转导的活性受体构象。由于其与激活信号通路的偶联蛋白(如 G 蛋白和 G 蛋白偶联受体激酶)的结构互补性,活性受体状态起始信号转导。激动剂偏向是指激动剂相对于另一种途径引导受体信号转导的倾向。因此,如果激动剂对活性状态 1 的亲和力远高于活性状态 2,它将导致受体偶联蛋白 1 的强烈激活,但不会导致受体偶联蛋白 2 的激活,最终,偏向于刺激信号通路 1。偏向激动剂可能是更具选择性的治疗药物,因为在许多情况下,激动剂的治疗和不良反应是由涉及 G 蛋白和β-arrestin 的不同途径介导的。鉴于激动剂偏向的机制,定量评估偏向的最直接方法涉及估计激动剂对非活性受体状态和通过不同途径参与信号转导的活性受体状态的亲和力。该方法提供了不同信号通路敏感性的定量估计,使人们能够确定观察到的选择性在多大程度上是由激动剂或系统偏向引起的。此外,该方法是计算机对接研究的有力辅助手段,可应用于体内测定、构效关系以及对已发表的激动剂浓度-反应曲线的分析。

相似文献

1
Analysis of Biased Agonism.偏向激动剂分析。
Prog Mol Biol Transl Sci. 2018;160:63-104. doi: 10.1016/bs.pmbts.2018.08.001. Epub 2018 Oct 15.
2
Estimation of the receptor-state affinity constants of ligands in functional studies using wild type and constitutively active mutant receptors: Implications for estimation of agonist bias.在使用野生型和组成型活性突变体受体的功能研究中估算配体的受体状态亲和常数:对激动剂偏向性估算的启示。
J Pharmacol Toxicol Methods. 2017 Jan-Feb;83:94-106. doi: 10.1016/j.vascn.2016.09.007. Epub 2016 Oct 7.
3
Estimation of ligand affinity constants for receptor states in functional studies involving the allosteric modulation of G protein-coupled receptors: implications for ligand bias.在涉及G蛋白偶联受体变构调节的功能研究中,受体状态配体亲和常数的估计:对配体偏向性的影响
J Pharmacol Toxicol Methods. 2014 May-Jun;69(3):253-79. doi: 10.1016/j.vascn.2014.01.002. Epub 2014 Jan 13.
4
Modelling and simulation of biased agonism dynamics at a G protein-coupled receptor.G蛋白偶联受体上偏向激动剂动力学的建模与模拟
J Theor Biol. 2018 Apr 7;442:44-65. doi: 10.1016/j.jtbi.2018.01.010. Epub 2018 Jan 12.
5
A kinetic model of GPCRs: analysis of G protein activity, occupancy, coupling and receptor-state affinity constants.G蛋白偶联受体(GPCRs)的动力学模型:G蛋白活性、占有率、偶联及受体状态亲和常数分析
J Recept Signal Transduct Res. 2015;35(4):269-83. doi: 10.3109/10799893.2014.975250. Epub 2014 Oct 29.
6
An inactive receptor-G protein complex maintains the dynamic range of agonist-induced signaling.无活性的受体 - G 蛋白复合物维持激动剂诱导的信号转导的动态范围。
Proc Natl Acad Sci U S A. 2020 Dec 1;117(48):30755-30762. doi: 10.1073/pnas.2010801117. Epub 2020 Nov 16.
7
Quantitating Ligand Bias Using the Competitive Model of Ligand Activity.使用配体活性竞争模型对配体偏向性进行定量分析。
Methods Mol Biol. 2019;1957:235-247. doi: 10.1007/978-1-4939-9158-7_15.
8
Quantifying agonist activity at G protein-coupled receptors.定量测定G蛋白偶联受体的激动剂活性。
J Vis Exp. 2011 Dec 26(58):e3179. doi: 10.3791/3179.
9
Unravelling intrinsic efficacy and ligand bias at G protein coupled receptors: A practical guide to assessing functional data.解析G蛋白偶联受体的内在活性和配体偏向性:评估功能数据实用指南
Biochem Pharmacol. 2016 Feb 1;101:1-12. doi: 10.1016/j.bcp.2015.10.011. Epub 2015 Oct 23.
10
A novel method for analyzing extremely biased agonism at G protein-coupled receptors.一种分析G蛋白偶联受体极端偏向激动作用的新方法。
Mol Pharmacol. 2015 May;87(5):866-77. doi: 10.1124/mol.114.096503. Epub 2015 Feb 13.

引用本文的文献

1
Quantification of signal amplification for receptors: the /EC ratio of full agonists as a gain parameter.受体信号放大的定量分析:以完全激动剂的/EC比值作为增益参数。
Front Pharmacol. 2025 Apr 8;16:1541872. doi: 10.3389/fphar.2025.1541872. eCollection 2025.
2
Probing phosphorylation events in biological membranes: The transducer function.探测生物膜中的磷酸化事件:转换器功能。
Biochim Biophys Acta Biomembr. 2024 Oct;1866(7):184362. doi: 10.1016/j.bbamem.2024.184362. Epub 2024 Jun 15.
3
Ligand bias underlies differential signaling of multiple FGFs via FGFR1.
配体偏向是多种 FGF 通过 FGFR1 进行差异化信号传递的基础。
Elife. 2024 Apr 3;12:RP88144. doi: 10.7554/eLife.88144.
4
Dynamics of receptor activation by agonists.激动剂诱导受体激活的动力学。
Biophys J. 2024 Jul 16;123(14):1915-1923. doi: 10.1016/j.bpj.2024.01.003. Epub 2024 Jan 4.
5
Quantitative receptor model for responses that are left- or right-shifted versus occupancy (are more or less concentration sensitive): the SABRE approach.针对左移或右移反应与占有率(浓度敏感性或多或少)的定量受体模型:SABRE方法。
Front Pharmacol. 2023 Dec 15;14:1274065. doi: 10.3389/fphar.2023.1274065. eCollection 2023.
6
Quantification of ligand and mutation-induced bias in EGFR phosphorylation in direct response to ligand binding.定量分析配体和突变诱导的 EGFR 磷酸化在直接响应配体结合时的偏倚。
Nat Commun. 2023 Nov 21;14(1):7579. doi: 10.1038/s41467-023-42926-8.
7
Quantitative assessment of ligand bias from bias plots: The bias coefficient "kappa".从偏倚图定量评估配体偏倚:偏倚系数“kappa”。
Biochim Biophys Acta Gen Subj. 2023 Oct;1867(10):130428. doi: 10.1016/j.bbagen.2023.130428. Epub 2023 Jul 23.
8
Agonist efficiency links binding and gating in a nicotinic receptor.激动剂效率将烟碱型乙酰胆碱受体的结合和门控联系起来。
Elife. 2023 Jul 3;12:e86496. doi: 10.7554/eLife.86496.
9
Ligand bias in receptor tyrosine kinase signaling.配体偏倚在受体酪氨酸激酶信号转导中的作用。
J Biol Chem. 2020 Dec 25;295(52):18494-18507. doi: 10.1074/jbc.REV120.015190. Epub 2020 Oct 29.
10
The biophysical basis of receptor tyrosine kinase ligand functional selectivity: Trk-B case study.受体酪氨酸激酶配体功能选择性的生物物理基础:Trk-B 案例研究。
Biochem J. 2020 Dec 11;477(23):4515-4526. doi: 10.1042/BCJ20200671.