Matlab application for fitting progress curves to the Equilibrium Model
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© Copyright 2007 James McDowall, Nigel Goodhue, Karin Bryan, Daniel Hailstone, Michelle Peterson and Colin Monk. Please note: this application is strictly for non-commercial use only. For assistance in the use of this application, please email Colin Monk ([email protected]).
Abstract
The general procedures for carrying out the necessary rate determinations required for accurate determination of the Equilibrium Model parameters, and fitting this data to the mathematical model to generate the parameters, are described in "Peterson, M.E., Daniel, R.M., Danson, M.J. & Eisenthal, R. (2007) The dependence of enzyme activity on temperature: determination and validation of parameters. Biochemical Journal, 402, 331-337". It should be borne in mind that the Equilibrium Model equation contains exponentials of exponentials – quite small deviations from ideal behaviour, or a failure to obtain true Vmax values, may lead to difficulty in obtaining reliable Equilibrium Model parameters.
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Peterson, M. E., McDowall, J., Goodhue, N. D., Bryan, K. R., Hailstone, D., & Monk, C. R. (2010). Matlab application for fitting progress curves to the Equilibrium Model. [Computer software], The University of Waikato.
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The University of Waikato