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The self-inhibitory nature of metabolic networks and its alleviation through compartmentalization
Metabolites can inhibit the enzymes that generate them. To explore the general nature of metabolic self-inhibition, we surveyed enzymological data accrued from a century of experimentation and generated a genome-scale enzyme-inhibition network. Enzyme inhibition is often driven by essential metaboli...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Nature Publishing Group
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5508129/ https://www.ncbi.nlm.nih.gov/pubmed/28691704 http://dx.doi.org/10.1038/ncomms16018 |
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author | Alam, Mohammad Tauqeer Olin-Sandoval, Viridiana Stincone, Anna Keller, Markus A. Zelezniak, Aleksej Luisi, Ben F. Ralser, Markus |
author_facet | Alam, Mohammad Tauqeer Olin-Sandoval, Viridiana Stincone, Anna Keller, Markus A. Zelezniak, Aleksej Luisi, Ben F. Ralser, Markus |
author_sort | Alam, Mohammad Tauqeer |
collection | PubMed |
description | Metabolites can inhibit the enzymes that generate them. To explore the general nature of metabolic self-inhibition, we surveyed enzymological data accrued from a century of experimentation and generated a genome-scale enzyme-inhibition network. Enzyme inhibition is often driven by essential metabolites, affects the majority of biochemical processes, and is executed by a structured network whose topological organization is reflecting chemical similarities that exist between metabolites. Most inhibitory interactions are competitive, emerge in the close neighbourhood of the inhibited enzymes, and result from structural similarities between substrate and inhibitors. Structural constraints also explain one-third of allosteric inhibitors, a finding rationalized by crystallographic analysis of allosterically inhibited L-lactate dehydrogenase. Our findings suggest that the primary cause of metabolic enzyme inhibition is not the evolution of regulatory metabolite–enzyme interactions, but a finite structural diversity prevalent within the metabolome. In eukaryotes, compartmentalization minimizes inevitable enzyme inhibition and alleviates constraints that self-inhibition places on metabolism. |
format | Online Article Text |
id | pubmed-5508129 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-55081292017-07-17 The self-inhibitory nature of metabolic networks and its alleviation through compartmentalization Alam, Mohammad Tauqeer Olin-Sandoval, Viridiana Stincone, Anna Keller, Markus A. Zelezniak, Aleksej Luisi, Ben F. Ralser, Markus Nat Commun Article Metabolites can inhibit the enzymes that generate them. To explore the general nature of metabolic self-inhibition, we surveyed enzymological data accrued from a century of experimentation and generated a genome-scale enzyme-inhibition network. Enzyme inhibition is often driven by essential metabolites, affects the majority of biochemical processes, and is executed by a structured network whose topological organization is reflecting chemical similarities that exist between metabolites. Most inhibitory interactions are competitive, emerge in the close neighbourhood of the inhibited enzymes, and result from structural similarities between substrate and inhibitors. Structural constraints also explain one-third of allosteric inhibitors, a finding rationalized by crystallographic analysis of allosterically inhibited L-lactate dehydrogenase. Our findings suggest that the primary cause of metabolic enzyme inhibition is not the evolution of regulatory metabolite–enzyme interactions, but a finite structural diversity prevalent within the metabolome. In eukaryotes, compartmentalization minimizes inevitable enzyme inhibition and alleviates constraints that self-inhibition places on metabolism. Nature Publishing Group 2017-07-10 /pmc/articles/PMC5508129/ /pubmed/28691704 http://dx.doi.org/10.1038/ncomms16018 Text en Copyright © 2017, The Author(s) http://creativecommons.org/licenses/by/4.0/ Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ |
spellingShingle | Article Alam, Mohammad Tauqeer Olin-Sandoval, Viridiana Stincone, Anna Keller, Markus A. Zelezniak, Aleksej Luisi, Ben F. Ralser, Markus The self-inhibitory nature of metabolic networks and its alleviation through compartmentalization |
title | The self-inhibitory nature of metabolic networks and its alleviation through compartmentalization |
title_full | The self-inhibitory nature of metabolic networks and its alleviation through compartmentalization |
title_fullStr | The self-inhibitory nature of metabolic networks and its alleviation through compartmentalization |
title_full_unstemmed | The self-inhibitory nature of metabolic networks and its alleviation through compartmentalization |
title_short | The self-inhibitory nature of metabolic networks and its alleviation through compartmentalization |
title_sort | self-inhibitory nature of metabolic networks and its alleviation through compartmentalization |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5508129/ https://www.ncbi.nlm.nih.gov/pubmed/28691704 http://dx.doi.org/10.1038/ncomms16018 |
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