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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

机译:使用野生型和组成型活性突变体受体的功能研究中配体的受体状态亲和常数的估计:对激动剂偏倚的估计

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摘要

We describe a method for estimating the affinities of ligands for active and inactive states of a G protein-coupled receptor (GPCR). Our protocol involves measuring agonist-induced signaling responses of a wild type GPCR and a constitutively active mutant of it under control conditions and after partial receptor inactivation or reduced receptor expression. Our subsequent analysis is based on the assumption that the activating mutation increases receptor isomerization into the active state without affecting the affinities of ligands for receptor states. A means of confirming this assumption is provided. Global nonlinear regression analysis yields estimates of 1) the active (Kact) and inactive (Kinact) receptor-state affinity constants, 2) the isomerization constant of the unoccupied receptor (Kq-obs), and 3) the sensitivity constant of the signaling pathway (KE-obs). The latter two parameters define the output response of the receptor, and hence, their ratio (Kq-obs/KE) is a useful measure of system bias. If the cellular system is reasonably stable and the Kq-obs and KE-obs values of the signaling pathway are known, the Kact and Kinact values of additional agonists can be estimated in subsequent experiments on cells expressing the wild type receptor. We validated our method through computer simulation, an analytical proof, and analysis of previously published data. Our approach provides 1) a more meaningful analysis of structure-activity relationships, 2) a means of validating in silico docking experiments on active and inactive receptor structures and 3) an absolute, in contrast to relative, measure of agonist bias.
机译:我们描述了一种估计配体对G蛋白偶联受体(GPCR)的活性和非活性状态亲和力的方法。我们的协议涉及在控制条件下以及部分受体失活或受体表达降低后,测量激动剂诱导的野生型GPCR信号传导反应及其组成型活性突变体。我们的后续分析基于以下假设:活化突变会增加受体异构化为活性状态,而不影响配体对受体状态的亲和力。提供了一种确认该假设的方法。全局非线性回归分析得出以下估计值:1)活性(Kact)和非活性(Kinact)受体状态亲和常数,2)空位受体(Kq-obs)的异构化常数,以及3)信号通路的敏感性常数(KE-obs)。后两个参数定义了接收器的输出响应,因此,它们的比率(Kq-obs / KE)是系统偏差的有用度量。如果细胞系统相当稳定,并且已知信号通路的Kq-obs和KE-obs值,则可以在随后的表达野生型受体的细胞实验中估算其他激动剂的Kact和Kinact值。我们通过计算机仿真,分析证明以及对先前发布的数据的分析验证了我们的方法。我们的方法提供了1)对结构-活性关系的更有意义的分析; 2)验证对活性和非活性受体结构进行计算机对接实验的方法,以及3)相对于激动剂偏倚的绝对量度。

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