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The Cell Cycle Switch Computes Approximate Majority

Both computational and biological systems have to make decisions about switching from one state to another. The ‘Approximate Majority’ computational algorithm provides the asymptotically fastest way to reach a common decision by all members of a population between two possible outcomes, where the de...

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Detalles Bibliográficos
Autores principales: Cardelli, Luca, Csikász-Nagy, Attila
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3440625/
https://www.ncbi.nlm.nih.gov/pubmed/22977731
http://dx.doi.org/10.1038/srep00656
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author Cardelli, Luca
Csikász-Nagy, Attila
author_facet Cardelli, Luca
Csikász-Nagy, Attila
author_sort Cardelli, Luca
collection PubMed
description Both computational and biological systems have to make decisions about switching from one state to another. The ‘Approximate Majority’ computational algorithm provides the asymptotically fastest way to reach a common decision by all members of a population between two possible outcomes, where the decision approximately matches the initial relative majority. The network that regulates the mitotic entry of the cell-cycle in eukaryotes also makes a decision before it induces early mitotic processes. Here we show that the switch from inactive to active forms of the mitosis promoting Cyclin Dependent Kinases is driven by a system that is related to both the structure and the dynamics of the Approximate Majority computation. We investigate the behavior of these two switches by deterministic, stochastic and probabilistic methods and show that the steady states and temporal dynamics of the two systems are similar and they are exchangeable as components of oscillatory networks.
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spelling pubmed-34406252012-09-13 The Cell Cycle Switch Computes Approximate Majority Cardelli, Luca Csikász-Nagy, Attila Sci Rep Article Both computational and biological systems have to make decisions about switching from one state to another. The ‘Approximate Majority’ computational algorithm provides the asymptotically fastest way to reach a common decision by all members of a population between two possible outcomes, where the decision approximately matches the initial relative majority. The network that regulates the mitotic entry of the cell-cycle in eukaryotes also makes a decision before it induces early mitotic processes. Here we show that the switch from inactive to active forms of the mitosis promoting Cyclin Dependent Kinases is driven by a system that is related to both the structure and the dynamics of the Approximate Majority computation. We investigate the behavior of these two switches by deterministic, stochastic and probabilistic methods and show that the steady states and temporal dynamics of the two systems are similar and they are exchangeable as components of oscillatory networks. Nature Publishing Group 2012-09-13 /pmc/articles/PMC3440625/ /pubmed/22977731 http://dx.doi.org/10.1038/srep00656 Text en Copyright © 2012, Macmillan Publishers Limited. All rights reserved http://creativecommons.org/licenses/by-nc-sa/3.0/ This work is licensed under a Creative Commons Attribution-NonCommercial-ShareALike 3.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by-nc-sa/3.0/
spellingShingle Article
Cardelli, Luca
Csikász-Nagy, Attila
The Cell Cycle Switch Computes Approximate Majority
title The Cell Cycle Switch Computes Approximate Majority
title_full The Cell Cycle Switch Computes Approximate Majority
title_fullStr The Cell Cycle Switch Computes Approximate Majority
title_full_unstemmed The Cell Cycle Switch Computes Approximate Majority
title_short The Cell Cycle Switch Computes Approximate Majority
title_sort cell cycle switch computes approximate majority
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3440625/
https://www.ncbi.nlm.nih.gov/pubmed/22977731
http://dx.doi.org/10.1038/srep00656
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