Numerical Methods for the Life Scientist Binding and Enzyme Kinetics Calculated with GNU Octave and MATLAB /

Enzyme kinetics, binding kinetics and pharmacological dose-response curves are currently analyzed by a few standard methods. Some of these, like Michaelis-Menten enzyme kinetics, use plausible approximations, others, like Hill equations for dose-response curves, are outdated. Calculating realistic r...

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Main Author: Prinz, Heino.
Corporate Author: SpringerLink (Online service)
Format: Electronic
Language: English
Published: Berlin, Heidelberg : Springer Berlin Heidelberg : 2011.
Subjects:
Online Access: http://dx.doi.org/10.1007/978-3-642-20820-1
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245 1 0 |a Numerical Methods for the Life Scientist  |h [electronic resource] :  |b Binding and Enzyme Kinetics Calculated with GNU Octave and MATLAB /  |c by Heino Prinz. 
264 1 |a Berlin, Heidelberg :  |b Springer Berlin Heidelberg :  |b Imprint: Springer,  |c 2011. 
300 |a IX, 149 p. 61 illus., 52 illus. in color.  |b online resource. 
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505 0 |a Preparing the computer -- Binding equilibria -- Binding kinetics -- Least squares fit to experimental data -- Multi-parameter fits -- Comparing the two different approaches.  . 
520 |a Enzyme kinetics, binding kinetics and pharmacological dose-response curves are currently analyzed by a few standard methods. Some of these, like Michaelis-Menten enzyme kinetics, use plausible approximations, others, like Hill equations for dose-response curves, are outdated. Calculating realistic reaction schemes requires numerical mathematical routines which usually are not covered in the curricula of life science. This textbook will give a step-by-step introduction to numerical solutions of non-linear and differential equations. It will be accompanied with a set of programs to calculate any reaction scheme on any personal computer. Typical examples from analytical biochemistry and pharmacology can be used as versatile templates. When a reaction scheme is applied for data fitting, the resulting parameters may not be unique. Correlation of parameters will be discussed and simplification strategies will be offered. 
650 0 |a Life sciences. 
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650 0 |a Biomathematics. 
650 1 4 |a Life Sciences. 
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650 2 4 |a Mathematical and Computational Biology. 
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