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一种估计激动剂解离常数(KA)的新方法:将失活后浓度-反应曲线直接拟合为嵌套双曲线方程。

A new method for estimation of agonist dissociation constants (KA): directly fitting the postinactivation concentration-response curve to a nested hyperbolic equation.

作者信息

James M K, Morgan P H, Leighton H J

机构信息

Department of Molecular Pharmacology, Glaxo Research Laboratories, Glaxo, Inc., Research Triangle Park, North Carolina.

出版信息

J Pharmacol Exp Ther. 1989 Apr;249(1):61-9.

PMID:2540322
Abstract

The common method for estimating agonist dissociation constants (KA) is the method proposed separately by Furchgott and Mackay. Concentrations of the given agonist producing the same response before ([A]) and after ([A']) irreversible inactivation of a fraction of the receptors (1-q) are described by the equation: 1/[A] = 1/(q*[A']) + (1-q)/(qKA) and plotted on axes of 1/[A] vs. 1/[A']. The double reciprocal method suffers from the disadvantage that undue weight may be placed on values generated from the smallest observed responses. Our new method of estimating KA and q uses hyperbolic functions to directly fit both concentration-response curves. The control curve is fit to the logistic equation: response = (M [A]n)/(kn + [A]n); where M is the maximal tissue response, n is the apparent kinetic order of the response at low [A] and k is [A] required for a half-maximal response. The postinactivation concentration-response curve is simultaneously fit to the following equation: response' = M/(((k/(qKA[A']))(KA + [A'] (1-q)))n + 1). This new method was shown to determine KA and q more accurately and precisely than other methods when applied to an artificial data set. In experiments with the rat anococcygeus muscle, the nested hyperbolic method gave estimates of KA with less variance and less range than the double reciprocal method. The nested hyperbolic method was shown to be a valid method of estimating KA and q that has advantages over the other methods.

摘要

估计激动剂解离常数(KA)的常用方法是由弗奇戈特和麦凯分别提出的方法。在一部分受体(1-q)发生不可逆失活之前([A])和之后([A']),产生相同反应的给定激动剂浓度由以下方程描述:1/[A] = 1/(q*[A']) + (1-q)/(qKA),并绘制在1/[A]对1/[A']的坐标轴上。双倒数法的缺点是可能会过度重视由最小观察反应产生的值。我们估计KA和q的新方法使用双曲线函数直接拟合两条浓度-反应曲线。对照曲线拟合逻辑方程:反应 = (M [A]n)/(kn + [A]n);其中M是最大组织反应,n是低[A]时反应的表观动力学级数,k是产生半最大反应所需的[A]。失活后浓度-反应曲线同时拟合以下方程:反应' = M/(((k/(qKA[A']))(KA + [A'] (1-q)))n + 1)。当应用于人工数据集时,这种新方法被证明比其他方法更准确、更精确地确定KA和q。在大鼠肛门尾骨肌实验中,嵌套双曲线法给出的KA估计值比双倒数法的方差更小、范围更小。嵌套双曲线法被证明是一种估计KA和q的有效方法,比其他方法具有优势。

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