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Calculation of statistic estimates of kinetic parameters from substrate uncompetitive inhibition equation using the median method

机译:使用中位数法从底物非竞争性抑制方程计算动力学参数的统计估计值

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摘要

We provide initial rate data from enzymatic reaction experiments and tis processing to estimate the kinetic parameters from the substrate uncompetitive inhibition equation using the median method published by Eisenthal and Cornish-Bowden (Cornish-Bowden and Eisenthal, 1974; Eisenthal and Cornish-Bowden, 1974). The method was denominated the direct linear plot and consists in the calculation of the median from a dataset of kinetic parameters Vmax and Km from the Michaelis–Menten equation. In this opportunity we present the procedure to applicate the direct linear plot to the substrate uncompetitive inhibition equation; a three-parameter equation. The median method is characterized for its robustness and its insensibility to outlier. The calculations are presented in an Excel datasheet and a computational algorithm was developed in the free software Python. The kinetic parameters of the substrate uncompetitive inhibition equation Vmax, Km and Ks were calculated using three experimental points from the dataset formed by 13 experimental points. All the 286 combinations were calculated. The dataset of kinetic parameters resulting from this combinatorial was used to calculate the median which corresponds to the statistic estimator of the real kinetic parameters. A comparative statistical analyses between the median method and the least squares was published in Valencia et al. .
机译:我们提供了酶促反应实验和处理过程中的初始速率数据,以使用Eisenthal和Cornish-Bowden(Cornish-Bowden和Eisenthal,1974; Eisenthal和Cornish-Bowden,1974 )。该方法被命名为直接线性图,并包括根据Michaelis-Menten方程的动力学参数Vmax和Km的数据集计算中值。借此机会,我们介绍了将直接线性图应用于底物非竞争性抑制方程的过程;一个三参数方程中值方法的特点是其鲁棒性和对异常值的不敏感性。计算结果显示在Excel数据表中,并且在免费软件Python中开发了计算算法。底物非竞争性抑制方程Vmax,Km和Ks的动力学参数是使用由13个实验点组成的数据集中的三个实验点计算得到的。计算了所有286个组合。由该组合得出的动力学参数数据集用于计算中位数,该中位数对应于实际动力学参数的统计估计量。 Valencia等人发表了中位数方法和最小二乘法之间的比较统计分析。 。

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