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使用整合的米氏方程估算米氏常数和最大反应速度的可靠性。

The reliability of Michaelis constants and maximum velocities estimated by using the integrated Michaelis-Menten equation.

作者信息

Atkins G L, Nimmo I A

出版信息

Biochem J. 1973 Dec;135(4):779-84. doi: 10.1042/bj1350779.

DOI:10.1042/bj1350779
PMID:4778274
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC1165894/
Abstract
  1. Experimental progress curves were simulated for a reaction obeying Michaelis-Menten kinetics. 2. K(m) and V were estimated (a) by fitting the integrated Michaelis-Menten equation to the progress curves, and (b) from the initial slopes of the curves (i.e. from initial velocities). 3. The integrated equation could not be fitted successfully by a non-linear method, so it was transformed and fitted by a linear method. 4. Provided that the initial substrate concentration was greater than K(m) and the data were precise enough, the integrated equation gave parameter estimates which were unbiased and as reliable as those derived from initial velocities although based on fewer experiments. 5. The integrated equation could be used for progress curves of unknown origin.
摘要
  1. 针对符合米氏动力学的反应模拟了实验进展曲线。2. 通过将积分米氏方程拟合到进展曲线来估计K(m)和V,(b) 从曲线的初始斜率(即从初始速度)来估计。3. 积分方程无法通过非线性方法成功拟合,因此对其进行变换并通过线性方法拟合。4. 只要初始底物浓度大于K(m)且数据足够精确,积分方程给出的参数估计是无偏的,并且与从初始速度得出的估计一样可靠,尽管基于较少的实验。5. 积分方程可用于来源不明的进展曲线。

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The reliability of Michaelis constants and maximum velocities estimated by using the integrated Michaelis-Menten equation.使用整合的米氏方程估算米氏常数和最大反应速度的可靠性。
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本文引用的文献

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