Beyond the Michaelis-Menten equation: Accurate and efficient estimation of enzyme kinetic parameters.

ABSTRACT: Examining enzyme kinetics is critical for understanding cellular systems and for using enzymes in industry. The Michaelis-Menten equation has been widely used for over a century to estimate the enzyme kinetic parameters from reaction progress curves of substrates, which is known as the progress curve assay. However, this canonical approach works in limited conditions, such as when there is a large excess of substrate over enzyme. Even when this condition is satisfied, the identifiability of parameters is not always guaranteed, and often not verifiable in practice. To overcome such limitations of the canonical approach for the progress curve assay, here we propose a Bayesian approach based on an equation derived with the total quasi-steady-state approximation. In contrast to the canonical a

SUBMITTER: Choi B 

PROVIDER: S-EPMC5717222 | biostudies-literature | 2017 Dec

REPOSITORIES: biostudies-literature