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Funneled Landscape Leads to Robustness of Cell Networks: Yeast Cell Cycle
We uncovered the underlying energy landscape for a cellular network. We discovered that the energy landscape of the yeast cell-cycle network is funneled towards the global minimum (G0/G1 phase) from the experimentally measured or inferred inherent chemical reaction rates. The funneled landscape is q...
Autores principales: | , , , |
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Formato: | Texto |
Lenguaje: | English |
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Public Library of Science
2006
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1636676/ https://www.ncbi.nlm.nih.gov/pubmed/17112311 http://dx.doi.org/10.1371/journal.pcbi.0020147 |
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author | Wang, Jin Huang, Bo Xia, Xuefeng Sun, Zhirong |
author_facet | Wang, Jin Huang, Bo Xia, Xuefeng Sun, Zhirong |
author_sort | Wang, Jin |
collection | PubMed |
description | We uncovered the underlying energy landscape for a cellular network. We discovered that the energy landscape of the yeast cell-cycle network is funneled towards the global minimum (G0/G1 phase) from the experimentally measured or inferred inherent chemical reaction rates. The funneled landscape is quite robust against random perturbations. This naturally explains robustness from a physical point of view. The ratio of slope versus roughness of the landscape becomes a quantitative measure of robustness of the network. The funneled landscape can be seen as a possible realization of the Darwinian principle of natural selection at the cellular network level. It provides an optimal criterion for network connections and design. Our approach is general and can be applied to other cellular networks. |
format | Text |
id | pubmed-1636676 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2006 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-16366762006-11-17 Funneled Landscape Leads to Robustness of Cell Networks: Yeast Cell Cycle Wang, Jin Huang, Bo Xia, Xuefeng Sun, Zhirong PLoS Comput Biol Research Article We uncovered the underlying energy landscape for a cellular network. We discovered that the energy landscape of the yeast cell-cycle network is funneled towards the global minimum (G0/G1 phase) from the experimentally measured or inferred inherent chemical reaction rates. The funneled landscape is quite robust against random perturbations. This naturally explains robustness from a physical point of view. The ratio of slope versus roughness of the landscape becomes a quantitative measure of robustness of the network. The funneled landscape can be seen as a possible realization of the Darwinian principle of natural selection at the cellular network level. It provides an optimal criterion for network connections and design. Our approach is general and can be applied to other cellular networks. Public Library of Science 2006-11 2006-11-17 /pmc/articles/PMC1636676/ /pubmed/17112311 http://dx.doi.org/10.1371/journal.pcbi.0020147 Text en © 2006 Wang 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 Wang, Jin Huang, Bo Xia, Xuefeng Sun, Zhirong Funneled Landscape Leads to Robustness of Cell Networks: Yeast Cell Cycle |
title | Funneled Landscape Leads to Robustness of Cell Networks: Yeast Cell Cycle |
title_full | Funneled Landscape Leads to Robustness of Cell Networks: Yeast Cell Cycle |
title_fullStr | Funneled Landscape Leads to Robustness of Cell Networks: Yeast Cell Cycle |
title_full_unstemmed | Funneled Landscape Leads to Robustness of Cell Networks: Yeast Cell Cycle |
title_short | Funneled Landscape Leads to Robustness of Cell Networks: Yeast Cell Cycle |
title_sort | funneled landscape leads to robustness of cell networks: yeast cell cycle |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1636676/ https://www.ncbi.nlm.nih.gov/pubmed/17112311 http://dx.doi.org/10.1371/journal.pcbi.0020147 |
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