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Open AccessJournal ArticleDOI

Reconstruction of biochemical networks in microorganisms

TLDR
The process that is currently used to achieve comprehensive network reconstructions is described and how these reconstructions are curated and validated is discussed to aid the growing number of researchers who are carrying out reconstructions for particular target organisms.
Abstract
Systems analysis of metabolic and growth functions in microbial organisms is rapidly developing and maturing. Such studies are enabled by reconstruction, at the genomic scale, of the biochemical reaction networks that underlie cellular processes. The network reconstruction process is organism specific and is based on an annotated genome sequence, high-throughput network-wide data sets and bibliomic data on the detailed properties of individual network components. Here we describe the process that is currently used to achieve comprehensive network reconstructions and discuss how these reconstructions are curated and validated. This Review should aid the growing number of researchers who are carrying out reconstructions for particular target organisms.

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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

How antibiotics kill bacteria: from targets to networks

TL;DR: The multilayered effects of drug–target interactions, including the essential cellular processes that are inhibited by bactericidal antibiotics and the associated cellular response mechanisms that contribute to killing are discussed.
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A protocol for generating a high-quality genome-scale metabolic reconstruction.

TL;DR: 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.
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Applications of genome-scale metabolic reconstructions

TL;DR: This review examines the many uses and future directions of genome‐scale metabolic reconstructions, and highlights trends and opportunities in the field that will make the greatest impact on many fields of biology.
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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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KEGG: Kyoto Encyclopedia of Genes and Genomes

TL;DR: The Kyoto Encyclopedia of Genes and Genomes (KEGG) as discussed by the authors is a knowledge base for systematic analysis of gene functions in terms of the networks of genes and molecules.
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Database resources of the National Center for Biotechnology Information

TL;DR: In addition to maintaining the GenBank(R) nucleic acid sequence database, the National Center for Biotechnology Information (NCBI) provides data analysis and retrieval resources for the data in GenBank and other biological data made available through NCBI’s website.
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Network biology: understanding the cell's functional organization

TL;DR: This work states that rapid advances in network biology indicate that cellular networks are governed by universal laws and offer a new conceptual framework that could potentially revolutionize the view of biology and disease pathologies in the twenty-first century.
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UniProt: the Universal Protein knowledgebase

TL;DR: The Swiss-Prot, TrEMBL and PIR protein database activities have united to form the Universal Protein Knowledgebase (UniProt), which is to provide a comprehensive, fully classified, richly and accurately annotated protein sequence knowledgebase, with extensive cross-references and query interfaces.
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