Toward a comprehensive drug ontology: extraction of drug-indication relations from diverse information sources

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• 作者：Mark E Sharp
• 关键词：Drug indications ; Drug ; disease relations ; Drug ontologies ; Drug information integration ; UMLS ; WHO ; ATC
• 刊名：Journal of Biomedical Semantics
• 出版年：2017
• 出版时间：December 2017
• 年：2017
• 卷：8
• 期：1
• 全文大小：724KB
• 刊物主题：Algorithms; Computer Appl. in Life Sciences; Data Mining and Knowledge Discovery; Computational Biology/Bioinformatics; Bioinformatics; Combinatorial Libraries;
• 出版者：BioMed Central
• ISSN：2041-1480
• 卷排序：8

文摘

BackgroundDrug ontologies could help pharmaceutical researchers overcome information overload and speed the pace of drug discovery, thus benefiting the industry and patients alike. Drug-disease relations, specifically drug-indication relations, are a prime candidate for representation in ontologies. There is a wealth of available drug-indication information, but structuring and integrating it is challenging.