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Stability from Structure: Metabolic Networks Are Unlike Other Biological Networks
In recent work, attempts have been made to link the structure of biochemical networks to their complex dynamics. It was shown that structurally stable network motifs are enriched in such networks. In this work, we investigate to what extent these findings apply to metabolic networks. To this end, we...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer
2008
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3171437/ https://www.ncbi.nlm.nih.gov/pubmed/19197379 http://dx.doi.org/10.1155/2009/630695 |
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author | van Nes, P Bellomo, D Reinders, MJT de Ridder, D |
author_facet | van Nes, P Bellomo, D Reinders, MJT de Ridder, D |
author_sort | van Nes, P |
collection | PubMed |
description | In recent work, attempts have been made to link the structure of biochemical networks to their complex dynamics. It was shown that structurally stable network motifs are enriched in such networks. In this work, we investigate to what extent these findings apply to metabolic networks. To this end, we extend a previously proposed method by changing the null model for determining motif enrichment, by using interaction types directly obtained from structural interaction matrices, by generating a distribution of partial derivatives of reaction rates and by simulating enzymatic regulation on metabolic networks. Our findings suggest that the conclusions drawn in previous work cannot be extended to metabolic networks, that is, structurally stable network motifs are not enriched in metabolic networks. |
format | Online Article Text |
id | pubmed-3171437 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2008 |
publisher | Springer |
record_format | MEDLINE/PubMed |
spelling | pubmed-31714372011-09-13 Stability from Structure: Metabolic Networks Are Unlike Other Biological Networks van Nes, P Bellomo, D Reinders, MJT de Ridder, D EURASIP J Bioinform Syst Biol Research Article In recent work, attempts have been made to link the structure of biochemical networks to their complex dynamics. It was shown that structurally stable network motifs are enriched in such networks. In this work, we investigate to what extent these findings apply to metabolic networks. To this end, we extend a previously proposed method by changing the null model for determining motif enrichment, by using interaction types directly obtained from structural interaction matrices, by generating a distribution of partial derivatives of reaction rates and by simulating enzymatic regulation on metabolic networks. Our findings suggest that the conclusions drawn in previous work cannot be extended to metabolic networks, that is, structurally stable network motifs are not enriched in metabolic networks. Springer 2008-12-17 /pmc/articles/PMC3171437/ /pubmed/19197379 http://dx.doi.org/10.1155/2009/630695 Text en Copyright © 2009 P. van Nes et al. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article van Nes, P Bellomo, D Reinders, MJT de Ridder, D Stability from Structure: Metabolic Networks Are Unlike Other Biological Networks |
title | Stability from Structure: Metabolic Networks Are Unlike Other Biological Networks |
title_full | Stability from Structure: Metabolic Networks Are Unlike Other Biological Networks |
title_fullStr | Stability from Structure: Metabolic Networks Are Unlike Other Biological Networks |
title_full_unstemmed | Stability from Structure: Metabolic Networks Are Unlike Other Biological Networks |
title_short | Stability from Structure: Metabolic Networks Are Unlike Other Biological Networks |
title_sort | stability from structure: metabolic networks are unlike other biological networks |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3171437/ https://www.ncbi.nlm.nih.gov/pubmed/19197379 http://dx.doi.org/10.1155/2009/630695 |
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