Parameter Estimation in Different Enzyme Reactions

Sudarshan R. Nelatury, Charles F. Nelatury, Mary C. Vagula

Biology Department, Gannon University, Erie, USA.
Department of ECE, College of Engineering, Drexel University, Philadelphia, USA.
Department of ECE, School of Engineering, Penn State Erie, Erie, USA.

DOI: 10.4236/aer.2014.21002                

Abstract

Enzyme kinetic parameters have been estimated using MATLAB software via the Wilkinson non-linear regression technique. The MATLAB script file written to implement this technique is short and very straightforward. Several software tools are commercially available for this purpose, with many graphical user interface (GUI) features. A routine use of these packages might offer immediate satisfaction of interactive hands-on experience; but in some cases the researcher might wish to write his/her own code and compare the results for further confirmation. Today MATLAB is in use in almost all the schools and laboratories as a standard software tool. So this paper is aimed at helping enzyme researchers to make use of this powerful software for estimation of parameters. It enables the incorporation of the analytical steps behind parameter estimation in an easy-to-follow manner and furnishes better visualization.

Keywords

Michaelis-Menten Equation; Dixon Plot; Hill Equation; Wilkinson Nonlinear Regression; MATLAB

Conflicts of Interest

The authors declare no conflicts of interest.

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