Literature DB >> 14757824

The metabolic world of Escherichia coli is not small.

Masanori Arita1.   

Abstract

To elucidate the organizational and evolutionary principles of the metabolism of living organisms, recent studies have addressed the graph-theoretic analysis of large biochemical networks responsible for the synthesis and degradation of cellular building blocks [Jeong, H., Tombor, B., Albert, R., Oltvai, Z. N. & Barabási, A. L. (2000) Nature 407, 651-654; Wagner, A. & Fell, D. A. (2001) Proc. R. Soc. London Ser. B 268, 1803-1810; and Ma, H.-W. & Zeng, A.-P. (2003) Bioinformatics 19, 270-277]. In such studies, the global properties of the network are computed by considering enzymatic reactions as links between metabolites. However, the pathways computed in this manner do not conserve their structural moieties and therefore do not correspond to biochemical pathways on the traditional metabolic map. In this work, we reassessed earlier results by digitizing carbon atomic traces in metabolic reactions annotated for Escherichia coli. Our analysis revealed that the average path length of its metabolism is much longer than previously thought and that the metabolic world of this organism is not small in terms of biosynthesis and degradation.

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Year:  2004        PMID: 14757824      PMCID: PMC341771          DOI: 10.1073/pnas.0306458101

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   11.205


  20 in total

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Authors:  S H Strogatz
Journal:  Nature       Date:  2001-03-08       Impact factor: 49.962

2.  Global properties of the metabolic map of Escherichia coli.

Authors:  C A Ouzounis; P D Karp
Journal:  Genome Res       Date:  2000-04       Impact factor: 9.043

3.  Pathway analysis in metabolic databases via differential metabolic display (DMD).

Authors:  R Küffner; R Zimmer; T Lengauer
Journal:  Bioinformatics       Date:  2000-09       Impact factor: 6.937

4.  The small world of metabolism.

Authors:  D A Fell; A Wagner
Journal:  Nat Biotechnol       Date:  2000-11       Impact factor: 54.908

Review 5.  BRENDA: a resource for enzyme data and metabolic information.

Authors:  Ida Schomburg; Antje Chang; Oliver Hofmann; Christian Ebeling; Frank Ehrentreich; Dietmar Schomburg
Journal:  Trends Biochem Sci       Date:  2002-01       Impact factor: 13.807

6.  The KEGG databases at GenomeNet.

Authors:  Minoru Kanehisa; Susumu Goto; Shuichi Kawashima; Akihiro Nakaya
Journal:  Nucleic Acids Res       Date:  2002-01-01       Impact factor: 16.971

7.  The EcoCyc Database.

Authors:  Peter D Karp; Monica Riley; Milton Saier; Ian T Paulsen; Julio Collado-Vides; Suzanne M Paley; Alida Pellegrini-Toole; César Bonavides; Socorro Gama-Castro
Journal:  Nucleic Acids Res       Date:  2002-01-01       Impact factor: 16.971

8.  Collective dynamics of 'small-world' networks.

Authors:  D J Watts; S H Strogatz
Journal:  Nature       Date:  1998-06-04       Impact factor: 49.962

9.  The small world inside large metabolic networks.

Authors:  A Wagner; D A Fell
Journal:  Proc Biol Sci       Date:  2001-09-07       Impact factor: 5.349

10.  A structural census of metabolic networks for E. coli.

Authors:  M A Saqi; M J Sternberg
Journal:  J Mol Biol       Date:  2001-11-09       Impact factor: 5.469

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  87 in total

Review 1.  Stable isotope-resolved metabolomics and applications for drug development.

Authors:  Teresa W-M Fan; Pawel K Lorkiewicz; Katherine Sellers; Hunter N B Moseley; Richard M Higashi; Andrew N Lane
Journal:  Pharmacol Ther       Date:  2011-12-23       Impact factor: 12.310

2.  Finding metabolic pathways using atom tracking.

Authors:  Allison P Heath; George N Bennett; Lydia E Kavraki
Journal:  Bioinformatics       Date:  2010-04-25       Impact factor: 6.937

3.  Metabolic pathway relationships revealed by an integrative analysis of the transcriptional and metabolic temperature stress-response dynamics in yeast.

Authors:  Dirk Walther; Katrin Strassburg; Pawel Durek; Joachim Kopka
Journal:  OMICS       Date:  2010-06

4.  Properties of metabolic networks: structure versus function.

Authors:  R Mahadevan; B O Palsson
Journal:  Biophys J       Date:  2004-12-01       Impact factor: 4.033

5.  OptStrain: a computational framework for redesign of microbial production systems.

Authors:  Priti Pharkya; Anthony P Burgard; Costas D Maranas
Journal:  Genome Res       Date:  2004-11       Impact factor: 9.043

6.  Lasting impressions: motifs in protein-protein maps may provide footprints of evolutionary events.

Authors:  J Jeremy Rice; Aaron Kershenbaum; Gustavo Stolovitzky
Journal:  Proc Natl Acad Sci U S A       Date:  2005-02-22       Impact factor: 11.205

7.  Elucidation and structural analysis of conserved pools for genome-scale metabolic reconstructions.

Authors:  Evgeni V Nikolaev; Anthony P Burgard; Costas D Maranas
Journal:  Biophys J       Date:  2004-10-15       Impact factor: 4.033

8.  Network inference, analysis, and modeling in systems biology.

Authors:  Réka Albert
Journal:  Plant Cell       Date:  2007-11-30       Impact factor: 11.277

9.  Structural analyses of a hypothetical minimal metabolism.

Authors:  Toni Gabaldón; Juli Peretó; Francisco Montero; Rosario Gil; Amparo Latorre; Andrés Moya
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2007-10-29       Impact factor: 6.237

10.  Molecular chaperones: the modular evolution of cellular networks.

Authors:  Tamás Korcsmáros; István A Kovács; Máté S Szalay; Péter Csermely
Journal:  J Biosci       Date:  2007-04       Impact factor: 1.826

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