Unknown

Dataset Information

Determining enzyme kinetics for systems biology with nuclear magnetic resonance spectroscopy.


ABSTRACT: Enzyme kinetics for systems biology should ideally yield information about the enzyme's activity under in vivo conditions, including such reaction features as substrate cooperativity, reversibility and allostery, and be applicable to enzymatic reactions with multiple substrates. A large body of enzyme-kinetic data in the literature is based on the uni-substrate Michaelis-Menten equation, which makes unnatural assumptions about enzymatic reactions (e.g., irreversibility), and its application in systems biology models is therefore limited. To overcome this limitation, we have utilised NMR time-course data in a combined theoretical and experimental approach to parameterize the generic reversible Hill equation, which is capable of describing enzymatic reactions in terms of all the properties m

SUBMITTER: Eicher JJ 

PROVIDER: S-EPMC3901242 | biostudies-literature | 2012 Nov

REPOSITORIES: biostudies-literature