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[使用模拟测量序列确定米氏参数及其标准差的方法比较]

[Comparison of procedures for determining Michaelis-Menten parameters together with their standard deviations using simulated measurement series].

作者信息

Hoppe H, Cumme G A

出版信息

Acta Biol Med Ger. 1978;37(8):1177-84.

PMID:749454
Abstract

The direct non-linear fit of Cleland and different methods applying linear regression analysis to linearized forms of the Michaelis-Menten equation have been compared. Comparison was made with respect to bias and standard deviation of the estimated values of Km, Vm, deltak and deltav. The Lineweaver-Burk method, weighted by approximately v3, turned out to produce estimates nearly as reliable as the direct fit of Cleland if one does not know whether the velocities are subject to constant absolute or relative errors. The comparison was based on ca. 10000 simulated series of velocity measurements. Runs with fewer simulated measurement series showed that for comparing different evaluation methods, at least 1000 measurement series should be simulated in order to get reliable results.

摘要

已对Cleland的直接非线性拟合以及将线性回归分析应用于米氏方程线性化形式的不同方法进行了比较。就Km、Vm、deltak和deltav估计值的偏差和标准差进行了比较。如果不知道速度是受恒定绝对误差还是相对误差影响,经约v3加权的Lineweaver-Burk方法所产生的估计值几乎与Cleland的直接拟合一样可靠。该比较基于约10000个模拟速度测量系列。模拟测量系列较少的运行表明,为了比较不同的评估方法,至少应模拟1000个测量系列以获得可靠结果。

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