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 opti...
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| Format: | Article |
| Language: | English |
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Croatian Chemical Society
2016-06-01
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| Series: | Croatica Chemica Acta |
| Online Access: | http://hrcak.srce.hr/file/248246 |
| Summary: | 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>. |
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| ISSN: | 0011-1643 1334-417X |