Unknown

Dataset Information

A global resource allocation strategy governs growth transition kinetics of Escherichia coli.


ABSTRACT: A grand challenge of systems biology is to predict the kinetic responses of living systems to perturbations starting from the underlying molecular interactions. Changes in the nutrient environment have long been used to study regulation and adaptation phenomena in microorganisms and they remain a topic of active investigation. Although much is known about the molecular interactions that govern the regulation of key metabolic processes in response to applied perturbations, they are insufficiently quantified for predictive bottom-up modelling. Here we develop a top-down approach, expanding the recently established coarse-grained proteome allocation models from steady-state growth into the kinetic regime. Using only qualitative knowledge of the underlying regulatory processes and imposing the

SUBMITTER: Erickson DW 

PROVIDER: S-EPMC5901684 | biostudies-literature | 2017 Nov

REPOSITORIES: biostudies-literature