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• W2399156743 abstract "Drug-drug interactions form a significant risk group for adverse effects associated with pharmaceutical treatment. These interactions are often reported in the literature, however, they are sparsely represented in machine-readable resources, 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 domain. While ontologies for drugs and their effects have proliferated in recent years, there is no ontology capable of describing and categorizing drug-drug interactions. Moreover, there is no artifact that represents all the possible mechanisms 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/" @default.
• W2399156743 created "2016-06-24" @default.
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• W2399156743 date "2013-01-01" @default.
• W2399156743 modified "2023-09-23" @default.
• W2399156743 title "An Ontology for Drug-drug Interactions." @default.
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