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Session S10 - Poster Session (During Extended Coffee Breaks Throughout Conference).
POSTER session, Friday afternoon, October 24
Cochise, Memorial Union

[S10.015] A stochastic model of enzyme kinetics

Marianne Stefanini, Timothy Newman (Department of Physics and Astronomy, Arizona State University), Alan McKane (Department of Physics, University of Manchester), Biophysics Group Collaboration

Enzyme kinetics is generally modeled by deterministic rate equations, and in the simplest case leads to the well-known Michaelis-Menten equation. It is plausible that stochastic effects will play an important role at low enzyme concentrations. We have addressed this by constructing a simple stochastic model which can be exactly solved in the steady-state. Throughout a wide range of parameter values Michaelis-Menten dynamics is replaced by a new and simple theoretical result.

Part S of program listing