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Metabolic networks of microbial systems

In contrast to bioreactors the metabolites within the microbial cells are converted in an impure atmosphere, yet the productivity seems to be well regulated and not affected by changes in operation variables. These features are attributed to integral metabolic network within the microorganism. With...

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Autores principales: Bhattacharya, Sumana, Chakrabarti, Subhra, Nayak, Amiya, Bhattacharya, Sanjoy K
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2003
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC155636/
https://www.ncbi.nlm.nih.gov/pubmed/12740044
http://dx.doi.org/10.1186/1475-2859-2-3
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author Bhattacharya, Sumana
Chakrabarti, Subhra
Nayak, Amiya
Bhattacharya, Sanjoy K
author_facet Bhattacharya, Sumana
Chakrabarti, Subhra
Nayak, Amiya
Bhattacharya, Sanjoy K
author_sort Bhattacharya, Sumana
collection PubMed
description In contrast to bioreactors the metabolites within the microbial cells are converted in an impure atmosphere, yet the productivity seems to be well regulated and not affected by changes in operation variables. These features are attributed to integral metabolic network within the microorganism. With the advent of neo-integrative proteomic approaches the understanding of integration of metabolic and protein-protein interaction networks have began. In this article we review the methods employed to determine the protein-protein interaction and their integration to define metabolite networks. We further present a review of current understanding of network properties, and benefit of studying the networks. The predictions using network structure, for example, in silico experiments help illustrate the importance of studying the network properties. The cells are regarded as complex system but their elements unlike complex systems interact selectively and nonlinearly to produce coherent rather than complex behaviors.
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spelling pubmed-1556362003-05-17 Metabolic networks of microbial systems Bhattacharya, Sumana Chakrabarti, Subhra Nayak, Amiya Bhattacharya, Sanjoy K Microb Cell Fact Review In contrast to bioreactors the metabolites within the microbial cells are converted in an impure atmosphere, yet the productivity seems to be well regulated and not affected by changes in operation variables. These features are attributed to integral metabolic network within the microorganism. With the advent of neo-integrative proteomic approaches the understanding of integration of metabolic and protein-protein interaction networks have began. In this article we review the methods employed to determine the protein-protein interaction and their integration to define metabolite networks. We further present a review of current understanding of network properties, and benefit of studying the networks. The predictions using network structure, for example, in silico experiments help illustrate the importance of studying the network properties. The cells are regarded as complex system but their elements unlike complex systems interact selectively and nonlinearly to produce coherent rather than complex behaviors. BioMed Central 2003-04-11 /pmc/articles/PMC155636/ /pubmed/12740044 http://dx.doi.org/10.1186/1475-2859-2-3 Text en Copyright © 2003 Bhattacharya et al; licensee BioMed Central Ltd. This is an Open Access article: verbatim copying and redistribution of this article are permitted in all media for any purpose, provided this notice is preserved along with the article's original URL.
spellingShingle Review
Bhattacharya, Sumana
Chakrabarti, Subhra
Nayak, Amiya
Bhattacharya, Sanjoy K
Metabolic networks of microbial systems
title Metabolic networks of microbial systems
title_full Metabolic networks of microbial systems
title_fullStr Metabolic networks of microbial systems
title_full_unstemmed Metabolic networks of microbial systems
title_short Metabolic networks of microbial systems
title_sort metabolic networks of microbial systems
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC155636/
https://www.ncbi.nlm.nih.gov/pubmed/12740044
http://dx.doi.org/10.1186/1475-2859-2-3
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