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Opportunities at the interface of network science and metabolic modelling

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Title: Opportunities at the interface of network science and metabolic modelling
Authors: Dusad, V
Thiel, D
Barahona, M
Keun, H
Oyarzun, D
Item Type: Journal Article
Abstract: Metabolism plays a central role in cell physiology because it provides the molecular machinery for growth. At the genome-scale, metabolism is made up of thousands of reactions interacting with one another. Untangling this complexity is key to understand how cells respond to genetic, environmental, or therapeutic perturbations. Here we discuss the roles of two complementary strategies for the analysis of genome-scale metabolic models: Flux Balance Analysis (FBA) and network science. While FBA estimates metabolic flux on the basis of an optimization principle, network approaches reveal emergent properties of the global metabolic connectivity. We highlight how the integration of both approaches promises to deliver insights on the structure and function of metabolic systems with wide-ranging implications in discovery science, precision medicine and industrial biotechnology.
Issue Date: 25-Jan-2021
Date of Acceptance: 22-Dec-2020
URI: http://hdl.handle.net/10044/1/86392
DOI: 10.3389/fbioe.2020.591049
ISSN: 2296-4185
Publisher: Frontiers Media
Journal / Book Title: Frontiers in Bioengineering and Biotechnology
Volume: 8
Copyright Statement: Copyright © 2021 Dusad, Thiel, Barahona, Keun and Oyarzún. This is an openaccess article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
Sponsor/Funder: Engineering & Physical Science Research Council (EPSRC)
Funder's Grant Number: EP/N014529/1
Keywords: flux balance analysis
genome scale metabolic modeling
machine learning
network science
synthetic biology
systems biology
q-bio.MN
q-bio.MN
q-bio.QM
0699 Other Biological Sciences
0903 Biomedical Engineering
1004 Medical Biotechnology
Publication Status: Published
Online Publication Date: 2021-01-25
Appears in Collections:Department of Surgery and Cancer
Mathematics
Applied Mathematics and Mathematical Physics
Faculty of Natural Sciences



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