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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 |
This item is licensed under a Creative Commons License