Institute of Biochemistry, Faculty of Medicine, University of Ljubljana, 1000 Ljubljana, Slovenia.
Anal Biochem. 2011 Apr 15;411(2):303-5. doi: 10.1016/j.ab.2011.01.016. Epub 2011 Jan 15.
Various explicit reformulations of time-dependent solutions for the classical two-step irreversible Michaelis-Menten enzyme reaction model have been described recently. In the current study, I present further improvements in terms of a generalized integrated form of the Michaelis-Menten equation for computation of substrate or product concentrations as functions of time for more real-world, enzyme-catalyzed reactions affected by the product. The explicit equations presented here can be considered as a simpler and useful alternative to the exact solution for the generalized integrated Michaelis-Menten equation when fitted to time course data using standard curve-fitting software.
最近,人们对经典两步不可逆 Michaelis-Menten 酶反应模型的时间相关解进行了各种明确的重新表述。在本研究中,我提出了进一步的改进,即提出了 Michaelis-Menten 方程的广义积分形式,以便计算受产物影响的更接近实际的酶催化反应中底物或产物浓度随时间的变化。当使用标准曲线拟合软件拟合时间过程数据时,这里给出的显式方程可以被认为是广义积分 Michaelis-Menten 方程的精确解的更简单和有用的替代方案。