A sensitivity analysis study of enzyme inhibition kinetics through Cellular Automata

Biochemical reactions are the basis of life, allowing processes move with a time scale. Enzymes are proteins that catalyze the biochemical reactions. These enzyme‐catalyzed reactions are controlled in a number of ways. Among them, inhibitors play a major role. A simulation model helps to monitor the parameters of the reactions at each and every time step, otherwise difficult to analyze experimentally. Cell‐based models, such as Cellular Automata (CA) provide an understanding of the organizational principles of interacting cellular systems, to link the individual cell (microscopic) dynamics with a particular collective (macroscopic) phenomenon. The dynamics are governed only through local rules to produce a global effect from the local changes. In this study, CA model for competitive enzyme‐inhibition reactions have been formulated. The rule framework described in this study is probabilistic. It is found that cellular automata can capture the essential features of a discrete real system without making comp...