Unknown

Dataset Information

0

Quantitative full time course analysis of nonlinear enzyme cycling kinetics.


ABSTRACT: Enzyme inhibition due to the reversible binding of reaction products is common and underlies the origins of negative feedback inhibition in many metabolic and signaling pathways. Product inhibition generates non-linearity in steady-state time courses of enzyme activity, which limits the utility of well-established enzymology approaches developed under the assumption of irreversible product release. For more than a century, numerous attempts to find a mathematical solution for analysis of kinetic time courses with product inhibition have been put forth. However, no practical general method capable of extracting common enzymatic parameters from such non-linear time courses has been successfully developed. Here we present a simple and practical method of analysis capable of efficiently extracting steady-state enzyme kinetic parameters and product binding constants from non-linear kinetic time courses with product inhibition and/or substrate depletion. The method is general and applicable to all enzyme systems, independent of reaction schemes and pathways.

SUBMITTER: Cao W 

PROVIDER: S-EPMC3772379 | biostudies-other | 2013

REPOSITORIES: biostudies-other

altmetric image

Publications

Quantitative full time course analysis of nonlinear enzyme cycling kinetics.

Cao Wenxiang W   De La Cruz Enrique M EM  

Scientific reports 20130101


Enzyme inhibition due to the reversible binding of reaction products is common and underlies the origins of negative feedback inhibition in many metabolic and signaling pathways. Product inhibition generates non-linearity in steady-state time courses of enzyme activity, which limits the utility of well-established enzymology approaches developed under the assumption of irreversible product release. For more than a century, numerous attempts to find a mathematical solution for analysis of kinetic  ...[more]

Similar Datasets

| S-EPMC1147827 | biostudies-other
| S-EPMC6326399 | biostudies-literature
| S-EPMC11360556 | biostudies-literature
| S-EPMC4839650 | biostudies-literature
2016-08-01 | GSE74122 | GEO
2016-08-01 | GSE74128 | GEO
| S-EPMC3032014 | biostudies-literature
| S-EPMC1348018 | biostudies-literature
| S-EPMC5931614 | biostudies-literature
2016-08-01 | E-GEOD-74122 | biostudies-arrayexpress