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Analysis of Metabolic Subnetworks by Flux Cone Projection
BACKGROUND: Analysis of elementary modes (EMs) is proven to be a powerful constraint-based method in the study of metabolic networks. However, enumeration of EMs is a hard computational task. Additionally, due to their large number, EMs cannot be simply used as an input for subsequent analysis. One...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2012
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3408373/ https://www.ncbi.nlm.nih.gov/pubmed/22642830 http://dx.doi.org/10.1186/1748-7188-7-17 |
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author | Marashi, Sayed-Amir David, Laszlo Bockmayr, Alexander |
author_facet | Marashi, Sayed-Amir David, Laszlo Bockmayr, Alexander |
author_sort | Marashi, Sayed-Amir |
collection | PubMed |
description | BACKGROUND: Analysis of elementary modes (EMs) is proven to be a powerful constraint-based method in the study of metabolic networks. However, enumeration of EMs is a hard computational task. Additionally, due to their large number, EMs cannot be simply used as an input for subsequent analysis. One possibility is to limit the analysis to a subset of interesting reactions. However, analysing an isolated subnetwork can result in finding incorrect EMs which are not part of any steady-state flux distribution of the original network. The ideal set to describe the reaction activity in a subnetwork would be the set of all EMs projected to the reactions of interest. Recently, the concept of "elementary flux patterns" (EFPs) has been proposed. Each EFP is a subset of the support (i.e., non-zero elements) of at least one EM. RESULTS: We introduce the concept of ProCEMs (Projected Cone Elementary Modes). The ProCEM set can be computed by projecting the flux cone onto a lower-dimensional subspace and enumerating the extreme rays of the projected cone. In contrast to EFPs, ProCEMs are not merely a set of reactions, but projected EMs. We additionally prove that the set of EFPs is included in the set of ProCEM supports. Finally, ProCEMs and EFPs are compared for studying substructures of biological networks. CONCLUSIONS: We introduce the concept of ProCEMs and recommend its use for the analysis of substructures of metabolic networks for which the set of EMs cannot be computed. |
format | Online Article Text |
id | pubmed-3408373 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2012 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-34083732012-08-08 Analysis of Metabolic Subnetworks by Flux Cone Projection Marashi, Sayed-Amir David, Laszlo Bockmayr, Alexander Algorithms Mol Biol Research BACKGROUND: Analysis of elementary modes (EMs) is proven to be a powerful constraint-based method in the study of metabolic networks. However, enumeration of EMs is a hard computational task. Additionally, due to their large number, EMs cannot be simply used as an input for subsequent analysis. One possibility is to limit the analysis to a subset of interesting reactions. However, analysing an isolated subnetwork can result in finding incorrect EMs which are not part of any steady-state flux distribution of the original network. The ideal set to describe the reaction activity in a subnetwork would be the set of all EMs projected to the reactions of interest. Recently, the concept of "elementary flux patterns" (EFPs) has been proposed. Each EFP is a subset of the support (i.e., non-zero elements) of at least one EM. RESULTS: We introduce the concept of ProCEMs (Projected Cone Elementary Modes). The ProCEM set can be computed by projecting the flux cone onto a lower-dimensional subspace and enumerating the extreme rays of the projected cone. In contrast to EFPs, ProCEMs are not merely a set of reactions, but projected EMs. We additionally prove that the set of EFPs is included in the set of ProCEM supports. Finally, ProCEMs and EFPs are compared for studying substructures of biological networks. CONCLUSIONS: We introduce the concept of ProCEMs and recommend its use for the analysis of substructures of metabolic networks for which the set of EMs cannot be computed. BioMed Central 2012-05-29 /pmc/articles/PMC3408373/ /pubmed/22642830 http://dx.doi.org/10.1186/1748-7188-7-17 Text en Copyright ©2012 Marashi et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Marashi, Sayed-Amir David, Laszlo Bockmayr, Alexander Analysis of Metabolic Subnetworks by Flux Cone Projection |
title | Analysis of Metabolic Subnetworks by Flux Cone Projection |
title_full | Analysis of Metabolic Subnetworks by Flux Cone Projection |
title_fullStr | Analysis of Metabolic Subnetworks by Flux Cone Projection |
title_full_unstemmed | Analysis of Metabolic Subnetworks by Flux Cone Projection |
title_short | Analysis of Metabolic Subnetworks by Flux Cone Projection |
title_sort | analysis of metabolic subnetworks by flux cone projection |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3408373/ https://www.ncbi.nlm.nih.gov/pubmed/22642830 http://dx.doi.org/10.1186/1748-7188-7-17 |
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