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Cellular determinants of metabolite concentration ranges.

ABSTRACT: Cellular functions are shaped by reaction networks whose dynamics are determined by the concentrations of underlying components. However, cellular mechanisms ensuring that a component's concentration resides in a given range remain elusive. We present network properties which suffice to identify components whose concentration ranges can be efficiently computed in mass-action metabolic networks. We show that the derived ranges are in excellent agreement with simulations from a detailed kinetic metabolic model of Escherichia coli. We demonstrate that the approach can be used with genome-scale metabolic models to arrive at predictions concordant with measurements from Escherichia coli under different growth scenarios. By application to 14 genome-scale metabolic models from diverse species, our approach specifies the cellular determinants of concentration ranges that can be effectively employed to make predictions for a variety of biotechnological and medical applications.

SUBMITTER: Kuken A

PROVIDER: S-EPMC6345444 | biostudies-literature | 2019 Jan

REPOSITORIES: biostudies-literature

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Cellular determinants of metabolite concentration ranges.

Küken Anika A Eloundou-Mbebi Jeanne M O JMO Basler Georg G Nikoloski Zoran Z

PLoS computational biology 20190124 1

Cellular functions are shaped by reaction networks whose dynamics are determined by the concentrations of underlying components. However, cellular mechanisms ensuring that a component's concentration resides in a given range remain elusive. We present network properties which suffice to identify components whose concentration ranges can be efficiently computed in mass-action metabolic networks. We show that the derived ranges are in excellent agreement with simulations from a detailed kinetic me ...[more]

PMID: 30677015

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