Non-linear Optimization of Parameters in Hill Kinetics

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 <i>n</i>). Numerical experiments illustrating feasibility of the method and quality of the solution are presented. <br><a rel="license" href="http://creativecommons.org/licenses/by/4.0/"><img alt="Creative Commons License" style="border-width:0" src="https://i.creativecommons.org/l/by/4.0/80x15.png" /></a> This work is licensed under a <a rel="license" href="http://creativecommons.org/licenses/by/4.0/">Creative Commons Attribution 4.0 International License</a>.

Abstract licence: CC BY

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