Cargando…
Identification of a Topological Characteristic Responsible for the Biological Robustness of Regulatory Networks
Attribution of biological robustness to the specific structural properties of a regulatory network is an important yet unsolved problem in systems biology. It is widely believed that the topological characteristics of a biological control network largely determine its dynamic behavior, yet the actua...
Autores principales: | , , , |
---|---|
Formato: | Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2009
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2704863/ https://www.ncbi.nlm.nih.gov/pubmed/19629157 http://dx.doi.org/10.1371/journal.pcbi.1000442 |
_version_ | 1782168945629855744 |
---|---|
author | Wu, Yangle Zhang, Xiaomeng Yu, Jianglei Ouyang, Qi |
author_facet | Wu, Yangle Zhang, Xiaomeng Yu, Jianglei Ouyang, Qi |
author_sort | Wu, Yangle |
collection | PubMed |
description | Attribution of biological robustness to the specific structural properties of a regulatory network is an important yet unsolved problem in systems biology. It is widely believed that the topological characteristics of a biological control network largely determine its dynamic behavior, yet the actual mechanism is still poorly understood. Here, we define a novel structural feature of biological networks, termed ‘regulation entropy’, to quantitatively assess the influence of network topology on the robustness of the systems. Using the cell-cycle control networks of the budding yeast (Saccharomyces cerevisiae) and the fission yeast (Schizosaccharomyces pombe) as examples, we first demonstrate the correlation of this quantity with the dynamic stability of biological control networks, and then we establish a significant association between this quantity and the structural stability of the networks. And we further substantiate the generality of this approach with a broad spectrum of biological and random networks. We conclude that the regulation entropy is an effective order parameter in evaluating the robustness of biological control networks. Our work suggests a novel connection between the topological feature and the dynamic property of biological regulatory networks. |
format | Text |
id | pubmed-2704863 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2009 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-27048632009-07-24 Identification of a Topological Characteristic Responsible for the Biological Robustness of Regulatory Networks Wu, Yangle Zhang, Xiaomeng Yu, Jianglei Ouyang, Qi PLoS Comput Biol Research Article Attribution of biological robustness to the specific structural properties of a regulatory network is an important yet unsolved problem in systems biology. It is widely believed that the topological characteristics of a biological control network largely determine its dynamic behavior, yet the actual mechanism is still poorly understood. Here, we define a novel structural feature of biological networks, termed ‘regulation entropy’, to quantitatively assess the influence of network topology on the robustness of the systems. Using the cell-cycle control networks of the budding yeast (Saccharomyces cerevisiae) and the fission yeast (Schizosaccharomyces pombe) as examples, we first demonstrate the correlation of this quantity with the dynamic stability of biological control networks, and then we establish a significant association between this quantity and the structural stability of the networks. And we further substantiate the generality of this approach with a broad spectrum of biological and random networks. We conclude that the regulation entropy is an effective order parameter in evaluating the robustness of biological control networks. Our work suggests a novel connection between the topological feature and the dynamic property of biological regulatory networks. Public Library of Science 2009-07-24 /pmc/articles/PMC2704863/ /pubmed/19629157 http://dx.doi.org/10.1371/journal.pcbi.1000442 Text en Wu et al. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited. |
spellingShingle | Research Article Wu, Yangle Zhang, Xiaomeng Yu, Jianglei Ouyang, Qi Identification of a Topological Characteristic Responsible for the Biological Robustness of Regulatory Networks |
title | Identification of a Topological Characteristic Responsible for the Biological Robustness of Regulatory Networks |
title_full | Identification of a Topological Characteristic Responsible for the Biological Robustness of Regulatory Networks |
title_fullStr | Identification of a Topological Characteristic Responsible for the Biological Robustness of Regulatory Networks |
title_full_unstemmed | Identification of a Topological Characteristic Responsible for the Biological Robustness of Regulatory Networks |
title_short | Identification of a Topological Characteristic Responsible for the Biological Robustness of Regulatory Networks |
title_sort | identification of a topological characteristic responsible for the biological robustness of regulatory networks |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2704863/ https://www.ncbi.nlm.nih.gov/pubmed/19629157 http://dx.doi.org/10.1371/journal.pcbi.1000442 |
work_keys_str_mv | AT wuyangle identificationofatopologicalcharacteristicresponsibleforthebiologicalrobustnessofregulatorynetworks AT zhangxiaomeng identificationofatopologicalcharacteristicresponsibleforthebiologicalrobustnessofregulatorynetworks AT yujianglei identificationofatopologicalcharacteristicresponsibleforthebiologicalrobustnessofregulatorynetworks AT ouyangqi identificationofatopologicalcharacteristicresponsibleforthebiologicalrobustnessofregulatorynetworks |