Literature DB >> 16169729

Reconstructing the metabolic network of a bacterium from its genome.

Christof Francke1, Roland J Siezen, Bas Teusink.   

Abstract

The prospect of understanding the relationship between the genome and the physiology of an organism is an important incentive to reconstruct metabolic networks. The first steps in the process can be automated and it does not take much effort to obtain an initial metabolic reconstruction from a genome sequence. However, such a reconstruction is certainly not flawless and correction of the many imperfections is laborious. It requires the combined analysis of the available information on protein sequence, phylogeny, gene-context and co-occurrence but is also aided by high-throughput experimental data. Simultaneously, the reconstructed network provides the opportunity to visualize the "omics" data within a relevant biological functional context and thus aids the interpretation of those data.

Mesh:

Year:  2005        PMID: 16169729     DOI: 10.1016/j.tim.2005.09.001

Source DB:  PubMed          Journal:  Trends Microbiol        ISSN: 0966-842X            Impact factor:   17.079


  71 in total

Review 1.  Biochemical and statistical network models for systems biology.

Authors:  Nathan D Price; Ilya Shmulevich
Journal:  Curr Opin Biotechnol       Date:  2007-08-03       Impact factor: 9.740

2.  A critical view of metabolic network adaptations.

Authors:  Balázs Papp; Bas Teusink; Richard A Notebaart
Journal:  HFSP J       Date:  2008-12-03

Review 3.  Comparative genomics of enzymes in flavor-forming pathways from amino acids in lactic acid bacteria.

Authors:  Mengjin Liu; Arjen Nauta; Christof Francke; Roland J Siezen
Journal:  Appl Environ Microbiol       Date:  2008-06-06       Impact factor: 4.792

4.  SHARP: genome-scale identification of gene-protein-reaction associations in cyanobacteria.

Authors:  S Krishnakumar; Dilip A Durai; Pramod P Wangikar; Ganesh A Viswanathan
Journal:  Photosynth Res       Date:  2013-08-24       Impact factor: 3.573

5.  SubMAP: aligning metabolic pathways with subnetwork mappings.

Authors:  Ferhat Ay; Manolis Kellis; Tamer Kahveci
Journal:  J Comput Biol       Date:  2011-03       Impact factor: 1.479

6.  Mass conservation and inference of metabolic networks from high-throughput mass spectrometry data.

Authors:  Pradeep Bandaru; Mukesh Bansal; Ilya Nemenman
Journal:  J Comput Biol       Date:  2011-02       Impact factor: 1.479

7.  Reconstructing genome-scale metabolic models with merlin.

Authors:  Oscar Dias; Miguel Rocha; Eugénio C Ferreira; Isabel Rocha
Journal:  Nucleic Acids Res       Date:  2015-04-06       Impact factor: 16.971

8.  Reconstruction and visualization of carbohydrate, N-glycosylation pathways in Pichia pastoris CBS7435 using computational and system biology approaches.

Authors:  Akriti Srivastava; Pallavi Somvanshi; Bhartendu Nath Mishra
Journal:  Syst Synth Biol       Date:  2012-12-30

9.  A systems biology framework for modeling metabolic enzyme inhibition of Mycobacterium tuberculosis.

Authors:  Xin Fang; Anders Wallqvist; Jaques Reifman
Journal:  BMC Syst Biol       Date:  2009-09-15

10.  Sparse canonical correlation analysis for identifying, connecting and completing gene-expression networks.

Authors:  Sandra Waaijenborg; Aeilko H Zwinderman
Journal:  BMC Bioinformatics       Date:  2009-09-28       Impact factor: 3.169

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