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一种包含亲和力、效能和信号放大的受体功能三参数双态模型。

A three-parameter two-state model of receptor function that incorporates affinity, efficacy, and signal amplification.

作者信息

Buchwald Peter

机构信息

Department of Molecular and Cellular Pharmacology and Diabetes Research Institute Miller School of Medicine University of Miami Miami Florida.

出版信息

Pharmacol Res Perspect. 2017 Apr 27;5(3):e00311. doi: 10.1002/prp2.311. eCollection 2017 Jun.

Abstract

A generalized model of receptor function is proposed that relies on the essential assumptions of the minimal two-state receptor theory (i.e., ligand binding followed by receptor activation), but uses a different parametrization and allows nonlinear response (transduction) for possible signal amplification. For the most general case, three parameters are used: , the classic equilibrium dissociation constant to characterize binding affinity; , an intrinsic efficacy to characterize the ability of the bound ligand to activate the receptor (ranging from 0 for an antagonist to 1 for a full agonist); and , a gain (amplification) parameter to characterize the nonlinearity of postactivation signal transduction (ranging from 1 for no amplification to infinity). The obtained equation, E/Emax=εγLεγ+1-εL+Kd, resembles that of the operational (Black and Leff) or minimal two-state (del Castillo-Katz) models, E/Emax=τLτ+1L+Kd, with playing a role somewhat similar to that of the efficacy parameter of those models, but has several advantages. Its parameters are more intuitive as they are conceptually clearly related to the different steps of binding, activation, and signal transduction (amplification), and they are also better suited for optimization by nonlinear regression. It allows fitting of complex data where receptor binding and response are measured separately and the fractional occupancy and response are mismatched. Unlike the previous models, it is a true generalized model as simplified forms can be reproduced with special cases of its parameters. Such simplified forms can be used on their own to characterize partial agonism, competing partial and full agonists, or signal amplification.

摘要

本文提出了一种受体功能的通用模型,该模型依赖于最小二态受体理论的基本假设(即配体结合后受体激活),但采用了不同的参数化方式,并允许非线性响应(转导)以实现可能的信号放大。对于最一般的情况,使用三个参数:$K_d$,即经典的平衡解离常数,用于表征结合亲和力;$\varepsilon$,内在效能,用于表征结合的配体激活受体的能力(拮抗剂为0,完全激动剂为1);以及$\gamma$,增益(放大)参数,用于表征激活后信号转导的非线性(无放大时为1,无穷大时为无穷)。得到的方程$E/E_{max}=\frac{\varepsilon\gamma[L]}{\varepsilon\gamma + 1 - \varepsilon[L] + K_d}$类似于操作模型(Black和Leff)或最小二态模型(del Castillo-Katz)的方程$E/E_{max}=\frac{\tau[L]}{\tau + 1[L] + K_d}$,其中$\varepsilon$的作用与那些模型的效能参数有些相似,但具有几个优点。其参数更直观,因为它们在概念上与结合、激活和信号转导(放大)的不同步骤有明确的关系,并且也更适合通过非线性回归进行优化。它允许拟合复杂的数据,其中受体结合和反应是分别测量的,且占有率分数和反应不匹配。与先前的模型不同,它是一个真正的通用模型,因为其特殊情况可以重现简化形式。这种简化形式可单独用于表征部分激动作用、竞争性部分和完全激动剂或信号放大。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9624/5464340/1104f8221441/PRP2-5-e00311-g001.jpg

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