Semantic Web Ontology and Data Integration: a Case Study in Aiding Psychiatric Drug Repurposing.
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.
School of Biomedical Informatics, The University of Texas Health Science Center at Houston, Houston, TX, USA.
Chen
C
Liang
School of Biomedical Informatics, The University of Texas Health Science Center at Houston, Houston, TX, USA.
Jingchun
J
Sun
School of Biomedical Informatics, The University of Texas Health Science Center at Houston, Houston, TX, USA.
Cui
C
Tao
D064229:Biological Ontologies / Q000458:organization & administration*; D016022:Case-Control Studies; D057225:Data Mining / Q000379:methods; D062313:Databases, Pharmaceutical / Q000145:classification; D058492:Drug Repositioning / Q000379:methods*; D020407:Internet / Q000458:organization & administration*; D009323:Natural Language Processing; D011619:Psychotropic Drugs / Q000145:classification* / Q000627:therapeutic use*; D012660:Semantics; D018511:Systems Integration
D011619:Psychotropic Drugs