NON-PROPAGATION OF NOISE IN INTRACELLULAR METABOLIC POOLS

Abstract

Intracellular metabolic pathways are highly interlinked networks. Such a network inevitably involves stochasticity due to the finite number of molecules of individual chemical species in biochemical reactions, which in turn would affect the development and function of living cells. Here, we investigate noise in the metabolic pools using linear noise approximation. By analyzing several typical motifs, we show non-propagation of noise in a clearer way in contrast to previous studies. Numerical simulation based on molecule-level Monte Carlo simulations further verifies the theoretic prediction. Our results would be helpful for understanding intracellular processes.