An ontology for drug-drug interactions

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dc.contributor.author Herrero Zazo, María
dc.contributor.author Hastings, Janna
dc.contributor.author Segura Bedmar, Isabel
dc.contributor.author Croset, Samuel
dc.contributor.author Martínez, Paloma
dc.contributor.author Steinbeck, Christoph
dc.date.accessioned 2015-04-23T10:27:26Z
dc.date.available 2015-04-23T10:27:26Z
dc.date.issued 2014-01
dc.identifier.bibliographicCitation Semantic Web Applications and Tools for Life Sciences 1114 (2014), pp. 1-15
dc.identifier.issn 1613-0073
dc.identifier.uri http://hdl.handle.net/10016/20475
dc.description Proceedings of: The 6th International Workshop on Semantic Web Applications and Tools for Life Sciences (SWAT4LS 2013). Took place 2013, December 11-12, in Edinburgh, UK. The evnt Web site http://www.swat4ls.org/workshops/edinburgh2013/
dc.description.abstract Drug-drug interactions form a significant risk group for adverse effects associ-ated with pharmaceutical treatment. These interactions are often reported in the literature, however, they are sparsely represented in machine-readable re-sources, such as online databases, thesauri or ontologies. These knowledge sources play a pivotal role in Natural Language Processing (NLP) systems since they provide a knowledge representation about the world or a particular do-main. While ontologies for drugs and their effects have proliferated in recent years, there is no ontology capable of describing and categorizing drug-drug in-teractions. Moreover, there is no artifact that represents all the possible mecha-nisms that can lead to a DDI. To fill this gap we propose DINTO, an ontology for drug-drug interactions and their mechanisms. In this paper we describe the classes, relationships and overall structure of DINTO. The ontology is free for use and available at https://code.google.com/p/dinto/
dc.description.sponsorship This work was supported by the Regional Government of Madrid under the Research Network MA2VICMR [S2009/TIC-1542], by the Spanish Ministry of Education under the project MULTIMEDICA [TIN2010-20644-C03-01] and by the European Commission Seventh Framework Programme under the project TrendMiner_Enlarged (EU FP7-ICT 612336).
dc.format.extent 16
dc.format.mimetype application/pdf
dc.language.iso eng
dc.publisher CEUR
dc.rights © Authors
dc.subject.other Ontology
dc.subject.other Drug-drug interactions
dc.subject.other Text mining
dc.subject.other Semantics
dc.subject.other Pharma-cology
dc.title An ontology for drug-drug interactions
dc.type article
dc.type conferenceObject
dc.description.status Publicado
dc.relation.publisherversion http://ceur-ws.org/Vol-1114/Session3_Herrero-Zazo.pdf
dc.subject.eciencia Informática
dc.rights.accessRights openAccess
dc.relation.projectID Comunidad de Madrid. S2009/TIC-1542/MA2VICMR
dc.relation.projectID info:eu-repo/grantAgreement/EC/FP7/612336
dc.type.version publishedVersion
dc.relation.eventdate 2013 December, 11-12
dc.relation.eventnumber 6
dc.relation.eventplace Edinburgh (Reino Unido)
dc.relation.eventtitle International Workshop on Semantic Web Applications and Tools for Life Sciences (SWAT4LS)
dc.relation.eventtype proceeding
dc.identifier.publicationfirstpage 1
dc.identifier.publicationlastpage 15
dc.identifier.publicationtitle Semantic Web Applications and Tools for Life Sciences
dc.identifier.publicationvolume 1114
dc.identifier.uxxi CC/0000021546
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