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.
| Original language | English |
|---|---|
| Pages (from-to) | 151-158 |
| Number of pages | 8 |
| Journal | Protein Engineering, Design and Selection |
| Volume | 30 |
| Issue number | 3 |
| Early online date | 11 Jan 2016 |
| DOIs | |
| State | Published - Mar 2017 |
All Science Journal Classification (ASJC) codes
- Bioengineering
- Molecular Biology
- Biochemistry
- Biotechnology
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