Duggleby R G
Biochem J. 1985 May 15;228(1):55-60. doi: 10.1042/bj2280055.
Most methods for studying the kinetic properties of an enzyme involve the determination of initial velocities. When the reaction progress curve shows significant curvature due to depletion of the substrate, accumulation of inhibitory products or instability of the enzyme, estimation of the initial velocity is a subjective and inexact process. Two methods have been suggested [Cornish-Bowden (1975) Biochem. J. 144, 305-312; Boeker (1982) Biochem J. 203, 117-123] that attempt to eliminate this subjective element. The present study offers a third alternative, which is based on fitting a reparameterized form of the integrated Michaelis-Menten equation to the progress curves by non-linear regression. This method yields estimates and standard errors of the initial velocity and of the time to reach 50% reaction. No prior knowledge of the apparent product concentration at zero time or infinite time is required, since both of these quantities are also estimated from the data. It is shown that this method yields reliable estimates of the initial velocity under a wide range of circumstances, including those where the two previously published methods perform poorly.
大多数研究酶动力学性质的方法都涉及初始速度的测定。当反应进程曲线因底物耗尽、抑制性产物积累或酶的不稳定性而呈现明显曲率时,初始速度的估计是一个主观且不准确的过程。已经提出了两种方法[康沃尔 - 鲍登(1975年),《生物化学杂志》144卷,305 - 312页;博克(1982年),《生物化学杂志》203卷,117 - 123页],试图消除这种主观因素。本研究提供了第三种方法,该方法基于通过非线性回归将积分米氏方程的重新参数化形式拟合到进程曲线。此方法可得出初始速度以及达到50%反应所需时间的估计值和标准误差。不需要关于零时刻或无限时刻表观产物浓度的先验知识,因为这两个量也可从数据中估计得出。结果表明,在广泛的情况下,包括先前发表的两种方法表现不佳的情况,该方法都能得出可靠的初始速度估计值。