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ACRE: Absolute concentration robustness exploration in module-based combinatorial networks
To engineer cells for industrial-scale application, a deep understanding of how to design molecular control mechanisms to tightly maintain functional stability under various fluctuations is crucial. Absolute concentration robustness (ACR) is a category of robustness in reaction network models in whi...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7513739/ https://www.ncbi.nlm.nih.gov/pubmed/32995502 http://dx.doi.org/10.1093/synbio/ysx001 |
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author | Kuwahara, Hiroyuki Umarov, Ramzan Almasri, Islam Gao, Xin |
author_facet | Kuwahara, Hiroyuki Umarov, Ramzan Almasri, Islam Gao, Xin |
author_sort | Kuwahara, Hiroyuki |
collection | PubMed |
description | To engineer cells for industrial-scale application, a deep understanding of how to design molecular control mechanisms to tightly maintain functional stability under various fluctuations is crucial. Absolute concentration robustness (ACR) is a category of robustness in reaction network models in which the steady-state concentration of a molecular species is guaranteed to be invariant even with perturbations in the other molecular species in the network. Here, we introduce a software tool, absolute concentration robustness explorer (ACRE), which efficiently explores combinatorial biochemical networks for the ACR property. ACRE has a user-friendly interface, and it can facilitate efficient analysis of key structural features that guarantee the presence and the absence of the ACR property from combinatorial networks. Such analysis is expected to be useful in synthetic biology as it can increase our understanding of how to design molecular mechanisms to tightly control the concentration of molecular species. ACRE is freely available at https://github.com/ramzan1990/ACRE. |
format | Online Article Text |
id | pubmed-7513739 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-75137392020-09-28 ACRE: Absolute concentration robustness exploration in module-based combinatorial networks Kuwahara, Hiroyuki Umarov, Ramzan Almasri, Islam Gao, Xin Synth Biol (Oxf) Software To engineer cells for industrial-scale application, a deep understanding of how to design molecular control mechanisms to tightly maintain functional stability under various fluctuations is crucial. Absolute concentration robustness (ACR) is a category of robustness in reaction network models in which the steady-state concentration of a molecular species is guaranteed to be invariant even with perturbations in the other molecular species in the network. Here, we introduce a software tool, absolute concentration robustness explorer (ACRE), which efficiently explores combinatorial biochemical networks for the ACR property. ACRE has a user-friendly interface, and it can facilitate efficient analysis of key structural features that guarantee the presence and the absence of the ACR property from combinatorial networks. Such analysis is expected to be useful in synthetic biology as it can increase our understanding of how to design molecular mechanisms to tightly control the concentration of molecular species. ACRE is freely available at https://github.com/ramzan1990/ACRE. Oxford University Press 2017-03-01 /pmc/articles/PMC7513739/ /pubmed/32995502 http://dx.doi.org/10.1093/synbio/ysx001 Text en © The Author 2017. Published by Oxford University Press. http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs licence (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial reproduction and distribution of the work, in any medium, provided the original work is not altered or transformed in any way, and that the work properly cited. For commercial re-use, please contact journals.permissions@oup.com |
spellingShingle | Software Kuwahara, Hiroyuki Umarov, Ramzan Almasri, Islam Gao, Xin ACRE: Absolute concentration robustness exploration in module-based combinatorial networks |
title | ACRE: Absolute concentration robustness exploration in module-based combinatorial networks |
title_full | ACRE: Absolute concentration robustness exploration in module-based combinatorial networks |
title_fullStr | ACRE: Absolute concentration robustness exploration in module-based combinatorial networks |
title_full_unstemmed | ACRE: Absolute concentration robustness exploration in module-based combinatorial networks |
title_short | ACRE: Absolute concentration robustness exploration in module-based combinatorial networks |
title_sort | acre: absolute concentration robustness exploration in module-based combinatorial networks |
topic | Software |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7513739/ https://www.ncbi.nlm.nih.gov/pubmed/32995502 http://dx.doi.org/10.1093/synbio/ysx001 |
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