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Genome-scale models of bacterial metabolism: reconstruction and applications

Open access
Durot, Maxime, Bourguignon, Pierre-Yves, Schachter, Vincent·2009·FEMS Microbiology Reviews

Abstract

Genome-scale metabolic models bridge the gap between genome-derived biochemical information and metabolic phenotypes in a principled manner, providing a solid interpretative framework for experimental data related to metabolic states, and enabling simple in silico experiments with whole-cell metabolism. Models have been reconstructed for almost 20 bacterial species, so far mainly through expert curation efforts integrating information from the literature with genome annotation. A wide variety of computational methods exploiting metabolic models have been developed and applied to bacteria, yielding valuable insights into bacterial metabolism and evolution, and providing a sound basis for computer-assisted design in metabolic engineering. Recent advances in computational systems biology and high-throughput experimental technologies pave the way for the systematic reconstruction of metabolic models from genomes of new species, and a corresponding expansion of the scope of their applications. In this review, we provide an introduction to the key ideas of metabolic modeling, survey the methods, and resources that enable model reconstruction and refinement, and chart applications to the investigation of global properties of metabolic systems, the interpretation of experimental results, and the re-engineering of their biochemical capabilities.

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Crossref · 10.1111/j.1574-6976.2008.00146.x

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Metadata

Authors
Durot, M., Bourguignon, P.-Y., & Schachter, V.
Venue
FEMS Microbiology Reviews
Published
2009-01
Volume
33
Issue
1
Pages
164-190
ISSN
  • 0168-6445 (ISSN-L)
  • 1574-6976
OpenAlex
W2151023149
Cited by
326
References
16
FWCI
9.18
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Genome-scale models of bacterial metabolism: reconstruction and applications. https://app.cochat.ai/papers/10.1111/j.1574-6976.2008.00146.x
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Durot, M., Bourguignon, P.-Y., & Schachter, V. (2009). Genome-scale models of bacterial metabolism: reconstruction and applications. FEMS Microbiology Reviews. https://doi.org/10.1111/j.1574-6976.2008.00146.x

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.