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Modelling compartmentalization towards elucidation and engineering of spatial organization in biochemical pathways
Compartmentalization is a fundamental ingredient, central to the functioning of biological systems at multiple levels. At the cellular level, compartmentalization is a key aspect of the functioning of biochemical pathways and an important element used in evolution. It is also being exploited in mult...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5608717/ https://www.ncbi.nlm.nih.gov/pubmed/28935941 http://dx.doi.org/10.1038/s41598-017-11081-8 |
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author | Menon, Govind Okeke, Chinedu Krishnan, J. |
author_facet | Menon, Govind Okeke, Chinedu Krishnan, J. |
author_sort | Menon, Govind |
collection | PubMed |
description | Compartmentalization is a fundamental ingredient, central to the functioning of biological systems at multiple levels. At the cellular level, compartmentalization is a key aspect of the functioning of biochemical pathways and an important element used in evolution. It is also being exploited in multiple contexts in synthetic biology. Accurate understanding of the role of compartments and designing compartmentalized systems needs reliable modelling/systems frameworks. We examine a series of building blocks of signalling and metabolic pathways with compartmental organization. We systematically analyze when compartmental ODE models can be used in these contexts, by comparing these models with detailed reaction-transport models, and establishing a correspondence between the two. We build on this to examine additional complexities associated with these pathways, and also examine sample problems in the engineering of these pathways. Our results indicate under which conditions compartmental models can and cannot be used, why this is the case, and what augmentations are needed to make them reliable and predictive. We also uncover other hidden consequences of employing compartmental models in these contexts. Or results contribute a number of insights relevant to the modelling, elucidation, and engineering of biochemical pathways with compartmentalization, at the core of systems and synthetic biology. |
format | Online Article Text |
id | pubmed-5608717 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-56087172017-10-04 Modelling compartmentalization towards elucidation and engineering of spatial organization in biochemical pathways Menon, Govind Okeke, Chinedu Krishnan, J. Sci Rep Article Compartmentalization is a fundamental ingredient, central to the functioning of biological systems at multiple levels. At the cellular level, compartmentalization is a key aspect of the functioning of biochemical pathways and an important element used in evolution. It is also being exploited in multiple contexts in synthetic biology. Accurate understanding of the role of compartments and designing compartmentalized systems needs reliable modelling/systems frameworks. We examine a series of building blocks of signalling and metabolic pathways with compartmental organization. We systematically analyze when compartmental ODE models can be used in these contexts, by comparing these models with detailed reaction-transport models, and establishing a correspondence between the two. We build on this to examine additional complexities associated with these pathways, and also examine sample problems in the engineering of these pathways. Our results indicate under which conditions compartmental models can and cannot be used, why this is the case, and what augmentations are needed to make them reliable and predictive. We also uncover other hidden consequences of employing compartmental models in these contexts. Or results contribute a number of insights relevant to the modelling, elucidation, and engineering of biochemical pathways with compartmentalization, at the core of systems and synthetic biology. Nature Publishing Group UK 2017-09-21 /pmc/articles/PMC5608717/ /pubmed/28935941 http://dx.doi.org/10.1038/s41598-017-11081-8 Text en © The Author(s) 2017 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Menon, Govind Okeke, Chinedu Krishnan, J. Modelling compartmentalization towards elucidation and engineering of spatial organization in biochemical pathways |
title | Modelling compartmentalization towards elucidation and engineering of spatial organization in biochemical pathways |
title_full | Modelling compartmentalization towards elucidation and engineering of spatial organization in biochemical pathways |
title_fullStr | Modelling compartmentalization towards elucidation and engineering of spatial organization in biochemical pathways |
title_full_unstemmed | Modelling compartmentalization towards elucidation and engineering of spatial organization in biochemical pathways |
title_short | Modelling compartmentalization towards elucidation and engineering of spatial organization in biochemical pathways |
title_sort | modelling compartmentalization towards elucidation and engineering of spatial organization in biochemical pathways |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5608717/ https://www.ncbi.nlm.nih.gov/pubmed/28935941 http://dx.doi.org/10.1038/s41598-017-11081-8 |
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