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The stochastic protein kinetic equations can be stiff for certain parameters,which makes their numerical simulation rely on very small time step sizes,resulting in large computational cost and accumulated round-off errors. Forsuch situation, we provide a method of reducing stiffness of the stochasticprotein kinetic equation by means of a kind of variable transformation.Theoretical and numerical analysis show effectiveness of this method. Itsgeneralization to a more general class of stochastic differential equationmodels is also discussed.

Effective Computation of Stochastic Protein Kinetic Equation by Reducing Stiffness via Variable Transformation