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利用核磁共振波谱法将进展曲线分析应用于原位酶动力学研究。

Application of progress curve analysis to in situ enzyme kinetics using 1H NMR spectroscopy.

作者信息

Vandenberg J I, Kuchel P W, King G F

出版信息

Anal Biochem. 1986 May 15;155(1):38-44. doi: 10.1016/0003-2697(86)90221-6.

Abstract

The steady-state kinetics of enzymes in tissues, cells, and concentrated lysates can be characterized using high-resolution nuclear magnetic resonance spectroscopy; this is possible because almost invariably there are differences in the spectra of substrates and products of a reaction and these spectra are obtainable even from optically opaque samples. We used 1H spin-echo NMR spectroscopy to study the hydrolysis of alpha-L-glutamyl-L-alanine by cytosolic peptidases of lysed human erythrocytes. Nonlinear regression of the integrated Michaelis-Menten expression onto the progress-curve data yielded, directly, estimates of Vmax and Km for the hydrolase; a procedure for analyzing progress curves in this manner was adapted and compared with a commonly used procedure which employs the Newton-Raphson algorithm. We also performed a sensitivity analysis of the integrated Michaelis-Menten expression; this yielded equations that indicate under what conditions estimates of Km and Vmax are most sensitive to variations in experimental observables. Specifically, we showed that the most accurate estimates of the steady-state parameters from analysis of progress curves are obtained when the initial substrate concentration is much greater than Km. Furthermore, estimates of these parameters obtained by such an analysis are most sensitive to data obtained when the reaction is 60-80% complete, having started with the highest practicable initial substrate concentration.

摘要

组织、细胞和浓缩裂解物中酶的稳态动力学可以使用高分辨率核磁共振光谱进行表征;这之所以可行,是因为反应底物和产物的光谱几乎总是存在差异,而且即使是从光学不透明的样品中也能获得这些光谱。我们使用1H自旋回波核磁共振光谱来研究裂解的人红细胞胞质肽酶对α-L-谷氨酰-L-丙氨酸的水解作用。将积分米氏方程对反应进程曲线数据进行非线性回归,可直接得出水解酶的Vmax和Km估计值;我们采用了一种以这种方式分析反应进程曲线的方法,并与常用的牛顿-拉夫森算法方法进行了比较。我们还对积分米氏方程进行了敏感性分析;由此得出的方程表明,在何种条件下,Km和Vmax的估计值对实验观测值的变化最为敏感。具体而言,我们表明,当初始底物浓度远大于Km时,从反应进程曲线分析中获得的稳态参数估计最为准确。此外,通过这种分析获得的这些参数估计值对从最高可行初始底物浓度开始反应至60%-80%完成时获得的数据最为敏感。

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