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Euler's method for numerical integration in computational biology, specifically in the context of enzyme-substrate kinetics. It explains how to apply this method to model enzyme-substrate reactions and the assumption of quasi-steady state to simplify the model. The document also includes interactive demonstrations and exercises to explore the effects of step size and product feedback.
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Robert F. Murphy
The simplest numerical integration method is Euler’s method. It simply converts each differential to a difference and calculates the value of the dependent variables by multiplying the right hand side of each differential equation by the step size.
(Model enzyme-substrate kinetics using
Euler’s method - consider timescale Use Named cells)
(Explore effect of step size)
(Model enzyme-substrate steady-state using circular references and “holders” for previous values)
The assumption of substrate excess enables an exact solution for the differentials. A less demanding assumption is that S can change but only “slowly” such that C “keeps up” or dC dt
(Compare full kinetic model with analytical solution for C ( t ) under assumption of substrate excess)
(Compare with quasi-steady state formulation)
(Modify model to allow product feedback)