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Direct determination of enzyme kinetic parameters from single reactions using a new progress curve analysis tool

机译:使用新的进度曲线分析工具直接测定单一反应中的酶动力学参数

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Abstract With computer-based data-fitting methods becoming a standard tool in biochemistry, progress curve analysis of enzyme kinetics is a feasible, yet seldom used tool. Here we present a versatile Matlab-based tool (PCAT) to analyze catalysis progress curves with three complementary model approaches. The first two models are based on the known closed-form solution for this problem: the first describes the required Lambert W function with an analytical approximation and the second provides a numerical solution of the Lambert W function. The third model is a direct simulation of the enzyme kinetics. Depending on the chosen model, the tools excel in speed, accuracy or initial value requirements. Using simulated and experimental data, we show the strengths and pitfalls of the different fitting models. Direct simulation proves to have the highest level of accuracy, but it also requires reasonable initial values to converge. Finally, we propose a standard procedure to obtain optimized enzyme kinetic parameters from single progress curves.
机译:摘要与基于计算机的数据拟合方法成为生物化学中的标准工具,酶动力学的进展曲线分析是一种可行的,但很少使用的工具。在这里,我们介绍了一种基于多功能Matlab的工具(PCAT),以分析具有三种互补模型方法的催化进展曲线。前两种模型基于已知的闭合液解决问题:首先描述所需的Lambert W功能,分析近似,第二个是灯泡W函数的数值溶液。第三种模型是直接模拟酶动力学。根据所选模型,工具以速度,精度或初始值要求的要求。使用模拟和实验数据,我们展示了不同拟合模型的优势和陷阱。直接仿真证明具有最高级别的准确性,但它还需要合理的初始值来收敛。最后,我们提出了一种标准程序,可以从单进步曲线获得优化的酶动力学参数。

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