Stochastic effects in pattern generation processes for the Selkov glycolytic model with diffusion

A dynamical distributed glycolytic model is considered. A parameter zone corresponding to Turing instability is found. Pattern formation process is studied by computer simulation and harmonic coefficients technique. Parametric description of number of peaks and amplitudes of the spatially inhomogeneous patterns is given. Phenomena of multistability and noise-induced transitions between coexisting attractors are discussed.