Semantic Web Ontology and Data Integration: A Case Study in Aiding Psychiatric Drug Repurposing

Chen Liang, Jingchun Sun, Cui Tao

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Scopus citations

Abstract

There remain significant difficulties selecting probable candidate drugs from existing databases. We describe an ontology-oriented approach to represent the nexus between genes, drugs, phenotypes, symptoms, and diseases from multiple information sources. We also report a case study in which we attempted to explore candidate drugs effective for bipolar disorder and epilepsy. We constructed an ontology incorporating knowledge between the two diseases and performed semantic reasoning tasks with the ontology. The results suggested 48 candidate drugs that hold promise for further breakthrough. The evaluation demonstrated the validity our approach. Our approach prioritizes the candidate drugs that have potential associations among genes, phenotypes and symptoms, and thus facilitates the data integration and drug repurposing in psychiatric disorders.

Original languageEnglish (US)
Title of host publicationStudies in Health Technology and Informatics
PublisherIOS Press
Pages1051
Number of pages1
Volume216
ISBN (Print)9781614995630
DOIs
StatePublished - 2015
Externally publishedYes
Event15th World Congress on Health and Biomedical Informatics, MEDINFO 2015 - Sao Paulo, Brazil
Duration: Aug 19 2015Aug 23 2015

Publication series

NameStudies in Health Technology and Informatics
Volume216
ISSN (Print)09269630
ISSN (Electronic)18798365

Other

Other15th World Congress on Health and Biomedical Informatics, MEDINFO 2015
CountryBrazil
CitySao Paulo
Period8/19/158/23/15

Keywords

  • Data Integration
  • Drug Repurposing
  • Ontology

ASJC Scopus subject areas

  • Biomedical Engineering
  • Health Informatics
  • Health Information Management

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  • Cite this

    Liang, C., Sun, J., & Tao, C. (2015). Semantic Web Ontology and Data Integration: A Case Study in Aiding Psychiatric Drug Repurposing. In Studies in Health Technology and Informatics (Vol. 216, pp. 1051). (Studies in Health Technology and Informatics; Vol. 216). IOS Press. https://doi.org/10.3233/978-1-61499-564-7-1051