Literature DB >> 15574705

Properties of metabolic networks: structure versus function.

R Mahadevan, B O Palsson.   

Abstract

Biological data from high-throughput technologies describing the network components (genes, proteins, metabolites) and their associated interactions have driven the reconstruction and study of structural (topological) properties of large-scale biological networks. In this article, we address the relation of the functional and structural properties by using extensively experimentally validated genome-scale metabolic network models to compute observable functional states of a microorganism and compare the "structure versus function" attributes of metabolic networks. It is observed that, functionally speaking, the essentiality of reactions in a node is not correlated with node connectivity as structural analyses of other biological networks have suggested. These findings are illustrated with the analysis of the genome-scale biochemical networks of three species with distinct modes of metabolism. These results also suggest fundamental differences among different biological networks arising out of their representation and functional constraints.

Mesh:

Year:  2004        PMID: 15574705      PMCID: PMC1305059          DOI: 10.1529/biophysj.104.055723

Source DB:  PubMed          Journal:  Biophys J        ISSN: 0006-3495            Impact factor:   4.033


  9 in total

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Journal:  Nature       Date:  2001-05-03       Impact factor: 49.962

2.  Escherichia coli K-12 undergoes adaptive evolution to achieve in silico predicted optimal growth.

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Review 4.  Network biology: understanding the cell's functional organization.

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5.  Advances in flux balance analysis.

Authors:  Kenneth J Kauffman; Purusharth Prakash; Jeremy S Edwards
Journal:  Curr Opin Biotechnol       Date:  2003-10       Impact factor: 9.740

6.  Integrating high-throughput and computational data elucidates bacterial networks.

Authors:  Markus W Covert; Eric M Knight; Jennifer L Reed; Markus J Herrgard; Bernhard O Palsson
Journal:  Nature       Date:  2004-05-06       Impact factor: 49.962

Review 7.  Genomic analysis of essentiality within protein networks.

Authors:  Haiyuan Yu; Dov Greenbaum; Hao Xin Lu; Xiaowei Zhu; Mark Gerstein
Journal:  Trends Genet       Date:  2004-06       Impact factor: 11.639

8.  In silico predictions of Escherichia coli metabolic capabilities are consistent with experimental data.

Authors:  J S Edwards; R U Ibarra; B O Palsson
Journal:  Nat Biotechnol       Date:  2001-02       Impact factor: 54.908

9.  Reconstruction and validation of Saccharomyces cerevisiae iND750, a fully compartmentalized genome-scale metabolic model.

Authors:  Natalie C Duarte; Markus J Herrgård; Bernhard Ø Palsson
Journal:  Genome Res       Date:  2004-06-14       Impact factor: 9.043

  9 in total
  27 in total

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6.  Influence of metabolic network structure and function on enzyme evolution.

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Journal:  Genome Biol       Date:  2006-05-09       Impact factor: 13.583

7.  Integrated in silico Analyses of Regulatory and Metabolic Networks of Synechococcus sp. PCC 7002 Reveal Relationships between Gene Centrality and Essentiality.

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9.  Optimal fluxes, reaction replaceability, and response to enzymopathies in the human red blood cell.

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10.  How to identify essential genes from molecular networks?

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Journal:  BMC Syst Biol       Date:  2009-10-13
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