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A protocol for generating a high-quality genome-scale metabolic reconstruction.

TLDR
This protocol provides a helpful manual for all stages of the reconstruction process and presents a comprehensive protocol describing each step necessary to build a high-quality genome-scale metabolic reconstruction.
Abstract
Network reconstructions are a common denominator in systems biology. Bottom–up metabolic network reconstructions have been developed over the last 10 years. These reconstructions represent structured knowledge bases that abstract pertinent information on the biochemical transformations taking place within specific target organisms. The conversion of a reconstruction into a mathematical format facilitates a myriad of computational biological studies, including evaluation of network content, hypothesis testing and generation, analysis of phenotypic characteristics and metabolic engineering. To date, genome-scale metabolic reconstructions for more than 30 organisms have been published and this number is expected to increase rapidly. However, these reconstructions differ in quality and coverage that may minimize their predictive potential and use as knowledge bases. Here we present a comprehensive protocol describing each step necessary to build a high-quality genome-scale metabolic reconstruction, as well as the common trials and tribulations. Therefore, this protocol provides a helpful manual for all stages of the reconstruction process.

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Journal ArticleDOI

What is flux balance analysis

TL;DR: This primer covers the theoretical basis of the approach, several practical examples and a software toolbox for performing the calculations.
Journal ArticleDOI

A comprehensive genome‐scale reconstruction of Escherichia coli metabolism—2011

TL;DR: The initial genome‐scale reconstruction of the metabolic network of Escherichia coli K‐12 MG1655 was assembled in 2000 and an update has now been built, named iJO1366, which accounts for 1366 genes, 2251 metabolic reactions, and 1136 unique metabolites.
Journal ArticleDOI

A community-driven global reconstruction of human metabolism

Ines Thiele, +53 more
- 01 May 2013 - 
TL;DR: Recon 2, a community-driven, consensus 'metabolic reconstruction', is described, which is the most comprehensive representation of human metabolism that is applicable to computational modeling and has improved topological and functional features.
Journal ArticleDOI

High-throughput generation, optimization and analysis of genome-scale metabolic models

TL;DR: The Model SEED is introduced, a web-based resource for high-throughput generation, optimization and analysis of genome-scale metabolic models and introduces techniques to automate nearly every step of this process, taking ∼48 h to reconstruct a metabolic model from an assembled genome sequence.
Journal ArticleDOI

Constraining the metabolic genotype–phenotype relationship using a phylogeny of in silico methods

TL;DR: This work describes a phylogeny of COBRA methods that has rapidly evolved from the few early methods, such as flux balance analysis and elementary flux mode analysis, into a repertoire of more than 100 methods, including antibiotic discovery, metabolic engineering and modelling of microbial community behaviour.
References
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