=Paper=
{{Paper
|id=Vol-1515/poster7
|storemode=property
|title=ChEBI for systems biology and metabolic modelling
|pdfUrl=https://ceur-ws.org/Vol-1515/poster7.pdf
|volume=Vol-1515
|dblpUrl=https://dblp.org/rec/conf/icbo/HastingsSMKDOTM15
}}
==ChEBI for systems biology and metabolic modelling==
ChEBI for systems biology and metabolic modelling
Janna Hastings1,* Neil Swainston2, Venkatesh Muthukrishnan1, Namrata Kale1,
Adriano Dekker1, Gareth Owen1, Steve Turner1, Pedro Mendes2 and Christoph Steinbeck1
1
Cheminformatics and Metabolism, EMBL -- European Bioinformatics Institute (EMBL-EBI), Hinxton, UK
2
Manchester Institute of Biotechnology, School of Computer Science, University of Manchester, UK
ChEBI will be providing a facility for bulk submission of
1 INTRODUCTION novel compounds which will be automatically classified
ChEBI (http://www.ebi.ac.uk/chebi) is a curated database within the ontology. We will also be undertaking curation of
and ontology of biologically relevant small molecules. It is the known metabolomes (i.e. all the known metabolites)
widely used as a reference for chemicals in the context of across four major species (human, mouse, E. coli and yeast).
biological data such as protein interactions, pathways, and Finally, we will be introducing into the ChEBI public web-
models (Hastings et al., 2013). As of the last release (May site novel visualisations of relevance to the systems biology
2015), ChEBI contains 44,263 fully curated entries, each of community, such as chemicals in the context of pathways
which is classified within one of the sub-ontologies: chemi- (powered by Reactome, Croft et al., 2011, and
cal entities (classified according to structural features), roles MetaboLights, Haug et al., 2013) and models (powered by
(classified according to biological or chemical mode of ac- BioModels, Li et al., 2010).
tion or use in application), and subatomic particles.
Systems biology brings together a wide range of infor- ACKNOWLEDGEMENTS
mation about cells, genes and proteins, as well as the small ChEBI is funded by the BBSRC, grant agreement number
molecules that act on and within these biological structures. BB/K019783/1 within the “Bioinformatics and biological
It gives a holistic perspective aiming to track and eventually resources” fund.
simulate the entire functioning of biological systems. One
aspect of systems biology is metabolic modelling, which REFERENCES
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