Computed parameter variance for noisy progress curve experiments of the Michaelis-Menten reaction. Source: W Stroberg and S Schnell (2016) Biophysical Chemistry 219, 12-27.

Principles of Enzyme kinetics

Computed parameter variance for noisy progress curve experiments of the Michaelis-Menten reaction. Source: W Stroberg and S Schnell (2016) Biophysical Chemistry 219, 12-27.

Principles of Enzyme kinetics

We combine chemical kinetics, mathematical, computational and statistical methods to develop standard-based approaches to measure the rates of enzyme catalyzed reactions and distinguish their molecular mechanisms under diverse experimental conditions.

Most of our research focuses on deriving mathematical approximations of the governing rate law equations for progress curves of enzyme catalyzed reactions. After deriving those approximation, we investigate the experimental conditions they can be effectively used to model the progress curves of enzyme catalyzed reactions and estimate their kinetic parameters.

In addition, we are also interested in developing and implementing algorithms for the accurate estimation of enzyme kinetic parameters from progress curve experiments.

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Santiago Schnell
John A. Jacquez Collegiate Professor of Physiology

My research focuses on developing standard-methods to obtain high quality measurements in the biomedical sciences and mathematical models of biomedical systems.