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The ChEBI reference database and ontology for biologically relevant chemistry: enhancements for 2013

Open access
Hastings, Janna, de Matos, Paula, Dekker, Adriano, Ennis, Marcus, Harsha, Bhavana, Kale, Namrata, Muthukrishnan, Venkatesh, Owen, Gareth, Turner, Steve, Williams, Mark, Steinbeck, Christoph·2012·Nucleic Acids Research

Abstract

ChEBI (http://www.ebi.ac.uk/chebi) is a database and ontology of chemical entities of biological interest. Over the past few years, ChEBI has continued to grow steadily in content, and has added several new features. In addition to incorporating all user-requested compounds, our annotation efforts have emphasized immunology, natural products and metabolites in many species. All database entries are now 'is_a' classified within the ontology, meaning that all of the chemicals are available to semantic reasoning tools that harness the classification hierarchy. We have completely aligned the ontology with the Open Biomedical Ontologies (OBO) Foundry-recommended upper level Basic Formal Ontology. Furthermore, we have aligned our chemical classification with the classification of chemical-involving processes in the Gene Ontology (GO), and as a result of this effort, the majority of chemical-involving processes in GO are now defined in terms of the ChEBI entities that participate in them. This effort necessitated incorporating many additional biologically relevant compounds. We have incorporated additional data types including reference citations, and the species and component for metabolites. Finally, our website and web services have had several enhancements, most notably the provision of a dynamic new interactive graph-based ontology visualization.

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Research works printed but not linked: 23

  1. Degtyarenko, 2008, ChEBI: a database and ontology for chemical entities of biological interest, Nucleic Acids Res., 36, D344, 10.1093/nar/gkm791 · DOI
  2. de Matos, 2010, Chemical entities of biological interest: an update, Nucleic Acids Res., 38, D249, 10.1093/nar/gkp886 · DOI
  3. Alcántara, 2011, Rhea—a manually curated resource of biochemical reactions, Nucleic Acids Res., 40, D754, 10.1093/nar/gkr1126 · DOI
  4. Li, 2010, BioModels database: an enhanced, curated and annotated resource for published quantitative kinetic models, BMC Syst. Biol., 4, 92, 10.1186/1752-0509-4-92 · DOI
  5. The GO Consortium, 2011, The gene ontology: enhancements for 2011, Nucleic Acids Res., 40, D559, 10.1093/nar/gkr1028 · DOI
  6. Wishart, 2006, DrugBank: a comprehensive resource for in silico drug discovery and exploration, Nucleic Acids Res., 34, D668, 10.1093/nar/gkj067 · DOI · Paper page
  7. Williams, 2008, ChemSpider and its expanding web: Building a structure-centric community for chemists, Chem. Int., 30, 1
  8. Vercruysse, 2012, OLSVis: an animated, interactive visual browser for bio-ontologies, BMC Bioinformatics, 13, 116, 10.1186/1471-2105-13-116 · DOI
  9. Grenon, 2004, SNAP and SPAN: Towards dynamic spatial ontology, Spatial Cognit. Comput., 4, 69, 10.1207/s15427633scc0401_5 · DOI
  10. Grau, 2008, OWL 2: the next step for OWL, Web Semantics, 6, 309, 10.1016/j.websem.2008.05.001 · DOI
  11. Dobson, 2004, Chemical space and biology, Nature, 432, 824, 10.1038/nature03192 · DOI · Paper page
  12. Goodacre, 2004, Metabolomics by numbers: acquiring and understanding global metabolite data, Trends Biotechnol., 22, 245, 10.1016/j.tibtech.2004.03.007 · DOI · Paper page
  13. Swainston, 2011, The SuBliMinaL Toolbox: automating steps in the reconstruction of metabolic networks, J. Integr. Bioinform., 8, 186, 10.1515/jib-2011-186 · DOI
  14. Ferreira, 2010, Semantic similarity for automatic classification of chemical compounds, PLoS Comput. Biol., 6, e1000937, 10.1371/journal.pcbi.1000937 · DOI
  15. Chagoyen, 2011, MBRole: enrichment analysis of metabolomic data, Bioinformatics, 27, 730, 10.1093/bioinformatics/btr001 · DOI
  16. Hoehndorf, 2012, Identifying aberrant pathways through integrated analysis of knowledge in pharmacogenomics, Bioinformatics, 28, 2169, 10.1093/bioinformatics/bts350 · DOI
  17. Jayaseelan, 2012, Natural product-likeness score revisited: an open-source, open-data implementation, BMC Bioinformatics, 13, 106, 10.1186/1471-2105-13-106 · DOI
  18. Kanehisa, 2006, From genomics to chemical genomics: new developments in KEGG, Nucleic Acids Res., 34, D354, 10.1093/nar/gkj102 · DOI
  19. Wishart, 2009, HMDB: a knowledgebase for the human metabolome, Nucleic Acids Res., 37, D603, 10.1093/nar/gkn810 · DOI · Paper page
  20. Bolton, 2008, PubChem: integrated platform of small molecules and biological activities, 10.1016/S1574-1400(08)00012-1 · DOI
  21. Magrane, 2011, UniProt knowledgebase: a hub of integrated protein data, Database (Oxford), 2011, bar009, 10.1093/database/bar009 · DOI
  22. Kerrien, 2007, IntAct—open source resource for molecular interaction data, Nucleic Acids Res., 35, D561, 10.1093/nar/gkl958 · DOI · Paper page
  23. Wittig, 2006, SABIO-RK: integration and curation of reaction kinetics data

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Metadata

Authors
Hastings, J., de Matos, P., Dekker, A., Ennis, M., Harsha, B., Kale, N., Muthukrishnan, V., Owen, G., Turner, S., Williams, M., & Steinbeck, C.
Venue
Nucleic Acids Research
Published
2012-11-23
Volume
41
Issue
D1
Pages
D456-D463
ISSN
  • 0305-1048 (ISSN-L)
  • 1362-4962
OpenAlex
W2140611297
Cited by
591
References
4
FWCI
20.21
Type
journal article
Language
en
Open access
gold

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Hastings, J., de Matos, P., Dekker, A., Ennis, M., Harsha, B., Kale, N., Muthukrishnan, V., Owen, G., Turner, S., Williams, M., & Steinbeck, C. (2012). The ChEBI reference database and ontology for biologically relevant chemistry: enhancements for 2013. Nucleic Acids Research. https://doi.org/10.1093/nar/gks1146

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