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High-order combination effects and biological robustness
Biological systems are robust, in that they can maintain stable phenotypes under varying conditions or attacks. Biological systems are also complex, being organized into many functional modules that communicate through interlocking pathways and feedback mechanisms. In these systems, robustness and c...
Autores principales: | , , , |
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Formato: | Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2008
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2538911/ https://www.ncbi.nlm.nih.gov/pubmed/18682705 http://dx.doi.org/10.1038/msb.2008.51 |
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author | Lehár, Joseph Krueger, Andrew Zimmermann, Grant Borisy, Alexis |
author_facet | Lehár, Joseph Krueger, Andrew Zimmermann, Grant Borisy, Alexis |
author_sort | Lehár, Joseph |
collection | PubMed |
description | Biological systems are robust, in that they can maintain stable phenotypes under varying conditions or attacks. Biological systems are also complex, being organized into many functional modules that communicate through interlocking pathways and feedback mechanisms. In these systems, robustness and complexity are linked because both qualities arise from the same underlying mechanisms. When perturbed by multiple attacks, such complex systems become fragile in both theoretical and experimental studies, and this fragility depends on the number of agents applied. We explore how this relationship can be used to study the functional robustness of a biological system using systematic high-order combination experiments. This presents a promising approach toward many biomedical and bioengineering challenges. For example, high-order experiments could determine the point of fragility for pathogenic bacteria and might help identify optimal treatments against multi-drug resistance. Such studies would also reinforce the growing appreciation that biological systems are best manipulated not by targeting a single protein, but by modulating the set of many nodes that can selectively control a system's functional state. |
format | Text |
id | pubmed-2538911 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2008 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-25389112008-09-17 High-order combination effects and biological robustness Lehár, Joseph Krueger, Andrew Zimmermann, Grant Borisy, Alexis Mol Syst Biol Perspectives Biological systems are robust, in that they can maintain stable phenotypes under varying conditions or attacks. Biological systems are also complex, being organized into many functional modules that communicate through interlocking pathways and feedback mechanisms. In these systems, robustness and complexity are linked because both qualities arise from the same underlying mechanisms. When perturbed by multiple attacks, such complex systems become fragile in both theoretical and experimental studies, and this fragility depends on the number of agents applied. We explore how this relationship can be used to study the functional robustness of a biological system using systematic high-order combination experiments. This presents a promising approach toward many biomedical and bioengineering challenges. For example, high-order experiments could determine the point of fragility for pathogenic bacteria and might help identify optimal treatments against multi-drug resistance. Such studies would also reinforce the growing appreciation that biological systems are best manipulated not by targeting a single protein, but by modulating the set of many nodes that can selectively control a system's functional state. Nature Publishing Group 2008-08-05 /pmc/articles/PMC2538911/ /pubmed/18682705 http://dx.doi.org/10.1038/msb.2008.51 Text en Copyright © 2008, EMBO and Nature Publishing Group http://creativecommons.org/licenses/by-nc-sa/3.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution Licence, which permits distribution and reproduction in any medium, provided the original author and source are credited. Creation of derivative works is permitted but the resulting work may be distributed only under the same or similar licence to this one. This licence does not permit commercial exploitation without specific permission. |
spellingShingle | Perspectives Lehár, Joseph Krueger, Andrew Zimmermann, Grant Borisy, Alexis High-order combination effects and biological robustness |
title | High-order combination effects and biological robustness |
title_full | High-order combination effects and biological robustness |
title_fullStr | High-order combination effects and biological robustness |
title_full_unstemmed | High-order combination effects and biological robustness |
title_short | High-order combination effects and biological robustness |
title_sort | high-order combination effects and biological robustness |
topic | Perspectives |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2538911/ https://www.ncbi.nlm.nih.gov/pubmed/18682705 http://dx.doi.org/10.1038/msb.2008.51 |
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