Venkatesh Muthukrishnan

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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(More)
ChEBI is a database and ontology containing information about chemical entities of biological interest. It currently includes over 46,000 entries, each of which is classified within the ontology and assigned multiple annotations including (where relevant) a chemical structure, database cross-references, synonyms and literature citations. All content is(More)
Ontology-based enrichment analysis aids in the interpretation and understanding of large-scale biological data. Ontologies are hierarchies of biologically relevant groupings. Using ontology annotations, which link ontology classes to biological entities, enrichment analysis methods assess whether there is a significant over or under representation of(More)
SUMMARY The Web Ontology Language (OWL) provides a sophisticated language for building complex domain ontologies and is widely used in bio-ontologies such as the Gene Ontology. The Protégé-OWL ontology editing tool provides a query facility that allows composition and execution of queries with the human-readable Manchester OWL syntax, with syntax checking(More)
ChEBI is an ontology of chemical entities of biological interest. It includes a structure-based and a role-based classification of chemical entities including molecules, ions and salts. This poster showcases recent developments and forthcoming enhancements to the ontology, focusing on modular extensions of the content. These extensions are being developed(More)
BACKGROUND Depression is common among older people but more common among those living in care homes. Depression is not easily detected among older adults because of the presentation, and the tendency for older people not to complain of depression, particularly those living in care homes. In general, care home staff have limited training in recognising(More)
Natural products are of substantial interest in drug discovery and metabolism research, since they represent molecules that have been shaped by natural selection to be bioactive in ways that are useful for a range of applications including as therapeutics, cosmetics and pesticides. The ChEBI database ( and the MetaboLights(More)
ChEBI ( is a curated database and ontology of biologically relevant small molecules. It is widely used as a reference for chemicals in the context of biological data such as protein interactions, pathways, and models (Hastings et al., 2013). As of the last release (May 2015), ChEBI contains 44,263 fully curated entries, each of(More)
BACKGROUND ChEBI is a database and ontology of chemical entities of biological interest. It is widely used as a source of identifiers to facilitate unambiguous reference to chemical entities within biological models, databases, ontologies and literature. ChEBI contains a wealth of chemical data, covering over 46,500 distinct chemical entities, and related(More)
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