Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Kuwahara, Hiroyuki, Umarov, Ramzan, Almasri, Islam, Gao, Xin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2017
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
_version_ 1783586441793634304
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
work_keys_str_mv AT kuwaharahiroyuki acreabsoluteconcentrationrobustnessexplorationinmodulebasedcombinatorialnetworks
AT umarovramzan acreabsoluteconcentrationrobustnessexplorationinmodulebasedcombinatorialnetworks
AT almasriislam acreabsoluteconcentrationrobustnessexplorationinmodulebasedcombinatorialnetworks
AT gaoxin acreabsoluteconcentrationrobustnessexplorationinmodulebasedcombinatorialnetworks