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一种用于推导应用于酶动力学数据的非线性回归分析加权因子的新方法。

A new procedure to derive weighting factors for nonlinear regression analysis applied to enzyme kinetic data.

作者信息

Mannervik B, Jakobson I, Warholm M

出版信息

Biochim Biophys Acta. 1979 Mar 16;567(1):43-8. doi: 10.1016/0005-2744(79)90170-0.

DOI:10.1016/0005-2744(79)90170-0
PMID:454628
Abstract

The experimental variance of enzymic steady-state kinetic experiments depends on velocity as approximated by a power function (Var(v) = K1 . valpha (Askelöf, P., Korsfeldt, M. and Mannervik, B. (1976) Eur. J. Biochem. 69, 61--67). The values of the constants (K1, alpha) can be estimated by making replicate measurements of velocity, and the inverse of the function can then be used as a weighting factor. In order to avoid measurement of a large number of replicates to establish the error structure of a kinetic data set, a different approach was tested. After a preliminary regression using a 'good model', which satisfies reasonable goodness-of-fit criteria, the residuals were taken to represent the experimental error. The neighbouring residuals were grouped together and the sum of their mean squared values was used as a measure of the variance in the neighbourhood of the corresponding measurements. The values of the constants obtained in this way agreed with those obtained by replicates.

摘要

酶促稳态动力学实验的实验方差取决于速度,其近似为幂函数(Var(v) = K1·vα (阿斯克洛夫,P.,科斯费尔特,M. 和曼内维克,B.(1976年)《欧洲生物化学杂志》69卷,61 - 67页))。常数(K1,α)的值可通过对速度进行重复测量来估计,然后该函数的倒数可作为加权因子。为避免通过大量重复测量来确定动力学数据集的误差结构,测试了一种不同的方法。在使用满足合理拟合优度标准的“良好模型”进行初步回归后,取残差来表示实验误差。将相邻残差分组在一起,其均方值之和用作相应测量值邻域内方差的度量。以这种方式获得的常数的值与通过重复测量获得的值一致。

相似文献

1
A new procedure to derive weighting factors for nonlinear regression analysis applied to enzyme kinetic data.一种用于推导应用于酶动力学数据的非线性回归分析加权因子的新方法。
Biochim Biophys Acta. 1979 Mar 16;567(1):43-8. doi: 10.1016/0005-2744(79)90170-0.
2
Error structure of enzyme kinetic experiments. Implications for weighting in regression analysis of experimental data.酶动力学实验的误差结构。对实验数据回归分析中加权的影响。
Eur J Biochem. 1976 Oct 1;69(1):61-7. doi: 10.1111/j.1432-1033.1976.tb10858.x.
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The nature of experimental error in enzyme kinetic measurments.酶动力学测量中实验误差的本质。
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Use of the F test for determining the degree of enzyme-kinetic and ligand-binding data. A Monte Carlo simulation study.使用F检验确定酶动力学和配体结合数据的程度。一项蒙特卡罗模拟研究。
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Estimating enzyme kinetic parameters: a computer program for linear regression and non-parametric analysis.估算酶动力学参数:用于线性回归和非参数分析的计算机程序
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Eur J Biochem. 1982 Jun;124(3):499-505. doi: 10.1111/j.1432-1033.1982.tb06621.x.

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