Literature DB >> 34719001

Curating COBRA Models of Microbial Metabolism.

Ali Navid1.   

Abstract

Constraint-based reconstruction and analysis (COBRA) methods have been used for over 20 years to generate genome-scale models of metabolism in biological systems. The COBRA models have been utilized to gain new insights into the biochemical conversions that occur within organisms and allow their survival and proliferation. Using these models, computational biologists can conduct a variety of different analyses such as examining network structures, predicting metabolic capabilities, resolving unexplained experimental observations, generating and testing new hypotheses, assessing the nutritional requirements of a biosystem and approximating its environmental niche, identifying missing enzymatic functions in the annotated genomes, and engineering desired metabolic capabilities in model organisms. This chapter details the protocol for developing curated system-level COBRA models of metabolism in microbes.
© 2022. Springer Science+Business Media, LLC, part of Springer Nature.

Entities:  

Keywords:  Constraint-based analysis; FBA; Genome-scale models; Metabolic networks; Systems biology

Mesh:

Year:  2022        PMID: 34719001     DOI: 10.1007/978-1-0716-1585-0_14

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  81 in total

1.  Adaptive Genetic Robustness of Escherichia coli Metabolic Fluxes.

Authors:  Wei-Chin Ho; Jianzhi Zhang
Journal:  Mol Biol Evol       Date:  2016-01-05       Impact factor: 16.240

2.  Multiple knockout analysis of genetic robustness in the yeast metabolic network.

Authors:  David Deutscher; Isaac Meilijson; Martin Kupiec; Eytan Ruppin
Journal:  Nat Genet       Date:  2006-09       Impact factor: 38.330

Review 3.  Towards multidimensional genome annotation.

Authors:  Jennifer L Reed; Iman Famili; Ines Thiele; Bernhard O Palsson
Journal:  Nat Rev Genet       Date:  2006-02       Impact factor: 53.242

4.  Optimal flux patterns in cellular metabolic networks.

Authors:  Eivind Almaas
Journal:  Chaos       Date:  2007-06       Impact factor: 3.642

5.  Analysis of optimality in natural and perturbed metabolic networks.

Authors:  Daniel Segrè; Dennis Vitkup; George M Church
Journal:  Proc Natl Acad Sci U S A       Date:  2002-11-01       Impact factor: 11.205

6.  Genome-scale reconstruction of the metabolic network in Yersinia pestis, strain 91001.

Authors:  Ali Navid; Eivind Almaas
Journal:  Mol Biosyst       Date:  2009-01-26

7.  Hierarchical analysis of dependency in metabolic networks.

Authors:  Julien Gagneur; David B Jackson; Georg Casari
Journal:  Bioinformatics       Date:  2003-05-22       Impact factor: 6.937

8.  Global organization of metabolic fluxes in the bacterium Escherichia coli.

Authors:  E Almaas; B Kovács; T Vicsek; Z N Oltvai; A-L Barabási
Journal:  Nature       Date:  2004-02-26       Impact factor: 49.962

9.  The activity reaction core and plasticity of metabolic networks.

Authors:  Eivind Almaas; Zoltán N Oltvai; Albert-László Barabási
Journal:  PLoS Comput Biol       Date:  2005-12-16       Impact factor: 4.475

10.  Metabolic flux balance analysis and the in silico analysis of Escherichia coli K-12 gene deletions.

Authors:  J S Edwards; B O Palsson
Journal:  BMC Bioinformatics       Date:  2000-07-27       Impact factor: 3.169

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