Deciphering the regulation of metabolism with dynamic optimization: an overview of recent advances.

Abstract:

Understanding optimality principles shaping the evolution of regulatory networks controlling metabolism is crucial for deriving a holistic picture of how metabolism is integrated into key cellular processes such as growth, adaptation and pathogenicity. While in the past the focus of research in pathway regulation was mainly based on stationary states, more recently dynamic optimization has proved to be an ideal tool to decipher regulatory strategies for metabolic pathways in response to environmental cues. In this short review, we summarize recent advances in the elucidation of optimal regulatory strategies and identification of optimal control points in metabolic pathways. We discuss biological implications of the discovered optimality principles on genome organization and provide examples how the derived knowledge can be used to identify new treatment strategies against pathogens. Furthermore, we briefly discuss the variety of approaches for solving dynamic optimization problems and emphasize whole-cell resource allocation models as an important emerging area of research that will allow us to study the regulation of metabolism on the whole-cell level.

SEEK ID: https://funginet.hki-jena.de/publications/82

PubMed ID: 28754658

Projects: B2

Journal: Biochem Soc Trans

Citation: Biochem Soc Trans. 2017 Jul 28. pii: BST20170137. doi: 10.1042/BST20170137.

Date Published: 30th Jul 2017

Authors: Jan Ewald, M. Bartl, Christoph Kaleta

help Creator
Activity

Views: 420

Created: 23rd Aug 2017 at 07:57

help Attributions

None

Related items

Powered by
Seek new full
(v.1.6.2)
Copyright © 2008 - 2018 The University of Manchester and HITS gGmbH