Skip to the main content

Original scientific paper

https://doi.org/10.5562/cca2863

Non-linear Optimization of Parameters in Hill Kinetics

Željko Jeričević ; Department of Computer Engineering, Technical Faculty, Vukovarska 58, HR-51000 Rijeka, Croatia


Full text: english pdf 778 Kb

page 213-215

downloads: 2.169

cite


Abstract

A novel least squares optimization of parameters in Hill enzyme kinetics has been developed. The method is based on transformation into “Michaelis-Menten like” type of equation with guaranteed convergence and the initial guess equal to zero. By using this approach, a three parameters non-linear optimization problem is transformed into a one-dimensional search for Hill’s coefficient (exponential parameter n).
Numerical experiments illustrating feasibility of the method and quality of the solution are presented.

This work is licensed under a Creative Commons Attribution 4.0 International License.

Keywords

Hill; enzyme kinetics; non-linear; optimization; data processing; least squares

Hrčak ID:

168222

URI

https://hrcak.srce.hr/168222

Publication date:

21.6.2016.

Visits: 2.849 *