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PMID: 22095399 Published · epublish English Journal Article Research Support, Non-U.S. Gov't

The SuBliMinaL Toolbox: automating steps in the reconstruction of metabolic networks.

Journal of integrative bioinformatics ·Vol. 8 ·No. 2 ·2011-11-18 ·Pages 186

Swainston N, Smallbone K, Mendes P, Kell D, Paton N

Abstract

The generation and use of metabolic network reconstructions has increased over recent years. The development of such reconstructions has typically involved a time-consuming, manual process. Recent work has shown that steps undertaken in reconstructing such metabolic networks are amenable to automation. The SuBliMinaL Toolbox (http://www.mcisb.org/subliminal/) facilitates the reconstruction process by providing a number of independent modules to perform common tasks, such as generating draft reconstructions, determining metabolite protonation state, mass and charge balancing reactions, suggesting intracellular compartmentalisation, adding transport reactions and a biomass function, and formatting the reconstruction to be used in third-party analysis packages. The individual modules manipulate reconstructions encoded in Systems Biology Markup Language (SBML), and can be chained to generate a reconstruction pipeline, or used individually during a manual curation process. This work describes the individual modules themselves, and a study in which the modules were used to develop a metabolic reconstruction of Saccharomyces cerevisiae from the existing data resources KEGG and MetaCyc. The automatically generated reconstruction is analysed for blocked reactions, and suggestions for future improvements to the toolbox are discussed.

MeSH Terms
Computer Simulation Metabolic Networks and Pathways Saccharomyces cerevisiae/metabolism Software Systems Biology
Authors & Affiliations
5 authors, click to expand affiliations / ORCID
Swainston Neil
Manchester Centre for Integrative Systems Biology, University of Manchester, Manchester, United Kingdom. [email protected]
Smallbone Kieran
Mendes Pedro
Kell Douglas
Paton Norman
Article Info
Journal
Journal of integrative bioinformatics
Abbr.
J Integr Bioinform
ISSN
1613-4516
Published
2011-11-18
Epub
2011-00-18
Pages
186
Language
English
Region
Germany
NLM ID
101503361
Subset
IM
Grants
Biotechnology and Biological Sciences Research Council · BB/C008219/1 · United Kingdom
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