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Reconciliation of metabolites and biochemical reactions for metabolic networks

Authors :
Alan Bridge
Sébastien Moretti
Anne Morgat
Thomas Bernard
Ioannis Xenarios
Marco Pagni
Swiss Institute of Bioinformatics [Genève] (SIB)
Swiss-Prot Group
An algorithmic view on genomes, cells, and environments (BAMBOO)
Inria Grenoble - Rhône-Alpes
Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Laboratoire de Biométrie et Biologie Evolutive - UMR 5558 (LBBE)
Université Claude Bernard Lyon 1 (UCBL)
Université de Lyon-Université de Lyon-Institut National de Recherche en Informatique et en Automatique (Inria)-VetAgro Sup - Institut national d'enseignement supérieur et de recherche en alimentation, santé animale, sciences agronomiques et de l'environnement (VAS)-Centre National de la Recherche Scientifique (CNRS)-Université Claude Bernard Lyon 1 (UCBL)
Université de Lyon-Université de Lyon-VetAgro Sup - Institut national d'enseignement supérieur et de recherche en alimentation, santé animale, sciences agronomiques et de l'environnement (VAS)-Centre National de la Recherche Scientifique (CNRS)
Vital-IT
European Project: 222886,EC:FP7:KBBE,FP7-KBBE-2007-2A,MICROME(2009)
University of Zurich
Pagni, Marco
Source :
Briefings in Bioinformatics, Briefings in Bioinformatics, Oxford University Press (OUP), 2012, 15 (1), pp.123-135. ⟨10.1093/bib/bbs058⟩, Briefings in Bioinformatics, 2012, 15 (1), pp.123-135. ⟨10.1093/bib/bbs058⟩, Briefings in Bioinformatics, vol. 15, no. 1, pp. 123-135
Publication Year :
2012
Publisher :
HAL CCSD, 2012.

Abstract

International audience; Genome-scale metabolic network reconstructions are now routinely used in the study of metabolic pathways, their evolution and design. The development of such reconstructions involves the integration of information on reactions and metabolites from the scientific literature as well as public databases and existing genome-scale metabolic models. The reconciliation of discrepancies between data from these sources generally requires significant manual curation, which constitutes a major obstacle in efforts to develop and apply genome-scale metabolic network reconstructions. In this work, we discuss some of the major difficulties encountered in the mapping and reconciliation of metabolic resources and review three recent initiatives that aim to accelerate this process, namely BKM-react, MetRxn and MNXref (presented in this article). Each of these resources provides a pre-compiled reconciliation of many of the most commonly used metabolic resources. By reducing the time required for manual curation of metabolite and reaction discrepancies, these resources aim to accelerate the development and application of high-quality genome-scale metabolic network reconstructions and models.

Details

Language :
English
ISSN :
14675463 and 14774054
Database :
OpenAIRE
Journal :
Briefings in Bioinformatics, Briefings in Bioinformatics, Oxford University Press (OUP), 2012, 15 (1), pp.123-135. ⟨10.1093/bib/bbs058⟩, Briefings in Bioinformatics, 2012, 15 (1), pp.123-135. ⟨10.1093/bib/bbs058⟩, Briefings in Bioinformatics, vol. 15, no. 1, pp. 123-135
Accession number :
edsair.doi.dedup.....13eb44b62df3b24082cd0dd9b44e47b6
Full Text :
https://doi.org/10.1093/bib/bbs058⟩