Suppr超能文献

偏向激动剂的概念和实验问题。

Conceptual and experimental issues in biased agonism.

机构信息

Ankara University, Faculty of Medicine, Department of Pharmacology, Molecular Biology and Technology Development Unit, Ankara, Turkey.

Viale America 111, 00144 Rome, Italy.

出版信息

Cell Signal. 2021 Jun;82:109955. doi: 10.1016/j.cellsig.2021.109955. Epub 2021 Feb 16.

Abstract

In this review, we discuss the theoretical and experimental foundations for assessing agonism in the context of signalling bias in GPCRs. We show that the formulation of efficacy in classical receptor theory and the definition of ligand-induced allosteric effect in chemical thermodynamics are coincident measures of agonism, only if we recognize that the classical model cannot be considered as a mechanistic description of the physicochemical events underlying ligand-receptor signalling. It represents instead a mathematical tool, fortuitously capable of extracting efficacy information from concentration-dependent functional data, where both ligand-dependent and ligand-independent information are present. We also assert that dissecting efficacy from affinity, as originally advocated in classical theory, is imperative for understanding the molecular property underlying agonism, and the biased agonism that leads to preferential formation of diverse GPCR-transducer complexes. Finally, we argue that beyond the assumed translational value of functional selectivity (i.e. signalling bias), the identification of ligands with true bias of efficacy is of fundamental importance for unravelling the conformational space that determines the complex functional chemistry of GPCRs.

摘要

在这篇综述中,我们讨论了评估 GPCR 信号转导偏倚背景下激动剂的理论和实验基础。我们表明,经典受体理论中功效的表述和化学热力学中配体诱导变构效应的定义是激动剂的一致衡量标准,前提是我们认识到经典模型不能被视为配体-受体信号转导背后物理化学事件的机制描述。相反,它代表了一种数学工具,偶然能够从浓度依赖性功能数据中提取功效信息,其中存在配体依赖性和配体独立性信息。我们还断言,从经典理论中最初倡导的亲和力中分离功效对于理解激动剂的分子特性以及导致不同 GPCR 转导复合物优先形成的偏激动剂至关重要。最后,我们认为,除了假定功能选择性的转化价值(即信号转导偏倚)之外,鉴定具有真正功效偏向的配体对于揭示决定 GPCR 复杂功能化学的构象空间具有根本重要性。

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