Analysis and interpretation of enzyme kinetic data

Athel Cornish-Bowden

doi:10.1016/j.pisc.2014.02.010

Abstract

Analysis of enzyme kinetic data to obtain valid information requires attention to two details that are often given less attention than they need. The first is an experimental design that ensures that the variables treated as independent are truly independent, that different interpretations can be distinguished, and that parameter values can be estimated. The second is that authors should be aware of the statistical assumptions that are implicit in the fitting programs that they use, whether commercial or not.

Highlights

The title of this chapter suggests a textbook account of enzyme kinetics, but that would not be appropriate here
The first is an experimental design that ensures that the variables treated as independent are truly independent, that different interpretations can be distinguished, and that parameter values can be estimated
Instead I shall concentrate on three aspects closer to the aims of STRENDA

Summary

Introduction

The title of this chapter suggests a textbook account of enzyme kinetics, but that would not be appropriate here. In the preceding discussion there has been an implied assumption that the purpose of data analysis is model discrimination rather than parameter estimation as such.

Results

Conclusion