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Current Understanding of the Formation and Adaptation of Metabolic Systems Based on Network Theory

Formation and adaptation of metabolic networks has been a long-standing question in biology. With recent developments in biotechnology and bioinformatics, the understanding of metabolism is progressively becoming clearer from a network perspective. This review introduces the comprehensive metabolic...

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Autor principal: Takemoto, Kazuhiro
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3901219/
https://www.ncbi.nlm.nih.gov/pubmed/24957641
http://dx.doi.org/10.3390/metabo2030429
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author Takemoto, Kazuhiro
author_facet Takemoto, Kazuhiro
author_sort Takemoto, Kazuhiro
collection PubMed
description Formation and adaptation of metabolic networks has been a long-standing question in biology. With recent developments in biotechnology and bioinformatics, the understanding of metabolism is progressively becoming clearer from a network perspective. This review introduces the comprehensive metabolic world that has been revealed by a wide range of data analyses and theoretical studies; in particular, it illustrates the role of evolutionary events, such as gene duplication and horizontal gene transfer, and environmental factors, such as nutrient availability and growth conditions, in evolution of the metabolic network. Furthermore, the mathematical models for the formation and adaptation of metabolic networks have also been described, according to the current understanding from a perspective of metabolic networks. These recent findings are helpful in not only understanding the formation of metabolic networks and their adaptation, but also metabolic engineering.
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spelling pubmed-39012192014-05-27 Current Understanding of the Formation and Adaptation of Metabolic Systems Based on Network Theory Takemoto, Kazuhiro Metabolites Review Formation and adaptation of metabolic networks has been a long-standing question in biology. With recent developments in biotechnology and bioinformatics, the understanding of metabolism is progressively becoming clearer from a network perspective. This review introduces the comprehensive metabolic world that has been revealed by a wide range of data analyses and theoretical studies; in particular, it illustrates the role of evolutionary events, such as gene duplication and horizontal gene transfer, and environmental factors, such as nutrient availability and growth conditions, in evolution of the metabolic network. Furthermore, the mathematical models for the formation and adaptation of metabolic networks have also been described, according to the current understanding from a perspective of metabolic networks. These recent findings are helpful in not only understanding the formation of metabolic networks and their adaptation, but also metabolic engineering. MDPI 2012-07-12 /pmc/articles/PMC3901219/ /pubmed/24957641 http://dx.doi.org/10.3390/metabo2030429 Text en © 2012 by the authors; licensee MDPI, Basel, Switzerland. http://creativecommons.org/licenses/by/3.0/ This article is an open-access article distributed under the terms and conditions of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/3.0/).
spellingShingle Review
Takemoto, Kazuhiro
Current Understanding of the Formation and Adaptation of Metabolic Systems Based on Network Theory
title Current Understanding of the Formation and Adaptation of Metabolic Systems Based on Network Theory
title_full Current Understanding of the Formation and Adaptation of Metabolic Systems Based on Network Theory
title_fullStr Current Understanding of the Formation and Adaptation of Metabolic Systems Based on Network Theory
title_full_unstemmed Current Understanding of the Formation and Adaptation of Metabolic Systems Based on Network Theory
title_short Current Understanding of the Formation and Adaptation of Metabolic Systems Based on Network Theory
title_sort current understanding of the formation and adaptation of metabolic systems based on network theory
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3901219/
https://www.ncbi.nlm.nih.gov/pubmed/24957641
http://dx.doi.org/10.3390/metabo2030429
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