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Boolean Network Model Predicts Cell Cycle Sequence of Fission Yeast
A Boolean network model of the cell-cycle regulatory network of fission yeast (Schizosaccharomyces Pombe) is constructed solely on the basis of the known biochemical interaction topology. Simulating the model in the computer faithfully reproduces the known activity sequence of regulatory proteins al...
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Formato: | Texto |
Lenguaje: | English |
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Public Library of Science
2008
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2243020/ https://www.ncbi.nlm.nih.gov/pubmed/18301750 http://dx.doi.org/10.1371/journal.pone.0001672 |
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author | Davidich, Maria I. Bornholdt, Stefan |
author_facet | Davidich, Maria I. Bornholdt, Stefan |
author_sort | Davidich, Maria I. |
collection | PubMed |
description | A Boolean network model of the cell-cycle regulatory network of fission yeast (Schizosaccharomyces Pombe) is constructed solely on the basis of the known biochemical interaction topology. Simulating the model in the computer faithfully reproduces the known activity sequence of regulatory proteins along the cell cycle of the living cell. Contrary to existing differential equation models, no parameters enter the model except the structure of the regulatory circuitry. The dynamical properties of the model indicate that the biological dynamical sequence is robustly implemented in the regulatory network, with the biological stationary state G1 corresponding to the dominant attractor in state space, and with the biological regulatory sequence being a strongly attractive trajectory. Comparing the fission yeast cell-cycle model to a similar model of the corresponding network in S. cerevisiae, a remarkable difference in circuitry, as well as dynamics is observed. While the latter operates in a strongly damped mode, driven by external excitation, the S. pombe network represents an auto-excited system with external damping. |
format | Text |
id | pubmed-2243020 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2008 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-22430202008-02-27 Boolean Network Model Predicts Cell Cycle Sequence of Fission Yeast Davidich, Maria I. Bornholdt, Stefan PLoS One Research Article A Boolean network model of the cell-cycle regulatory network of fission yeast (Schizosaccharomyces Pombe) is constructed solely on the basis of the known biochemical interaction topology. Simulating the model in the computer faithfully reproduces the known activity sequence of regulatory proteins along the cell cycle of the living cell. Contrary to existing differential equation models, no parameters enter the model except the structure of the regulatory circuitry. The dynamical properties of the model indicate that the biological dynamical sequence is robustly implemented in the regulatory network, with the biological stationary state G1 corresponding to the dominant attractor in state space, and with the biological regulatory sequence being a strongly attractive trajectory. Comparing the fission yeast cell-cycle model to a similar model of the corresponding network in S. cerevisiae, a remarkable difference in circuitry, as well as dynamics is observed. While the latter operates in a strongly damped mode, driven by external excitation, the S. pombe network represents an auto-excited system with external damping. Public Library of Science 2008-02-27 /pmc/articles/PMC2243020/ /pubmed/18301750 http://dx.doi.org/10.1371/journal.pone.0001672 Text en Davidich, Bornholdt. 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 Davidich, Maria I. Bornholdt, Stefan Boolean Network Model Predicts Cell Cycle Sequence of Fission Yeast |
title | Boolean Network Model Predicts Cell Cycle Sequence of Fission Yeast |
title_full | Boolean Network Model Predicts Cell Cycle Sequence of Fission Yeast |
title_fullStr | Boolean Network Model Predicts Cell Cycle Sequence of Fission Yeast |
title_full_unstemmed | Boolean Network Model Predicts Cell Cycle Sequence of Fission Yeast |
title_short | Boolean Network Model Predicts Cell Cycle Sequence of Fission Yeast |
title_sort | boolean network model predicts cell cycle sequence of fission yeast |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2243020/ https://www.ncbi.nlm.nih.gov/pubmed/18301750 http://dx.doi.org/10.1371/journal.pone.0001672 |
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