Towards pharmacogenomics knowledge discovery with the semantic web

Brief Bioinform. 2009 Mar;10(2):153-63. doi: 10.1093/bib/bbn056. Epub 2009 Feb 24.


Pharmacogenomics aims to understand pharmacological response with respect to genetic variation. Essential to the delivery of better health care is the use of pharmacogenomics knowledge to answer questions about therapeutic, pharmacological or genetic aspects. Several XML markup languages have been developed to capture pharmacogenomic and related information so as to facilitate data sharing. However, recent advances in semantic web technologies have presented exciting new opportunities for pharmacogenomics knowledge discovery by representing the information with machine understandable semantics. Progress in this area is illustrated with reference to the personalized medicine project that aims to facilitate pharmacogenomics knowledge discovery through intuitive knowledge capture and sophisticated question answering using automated reasoning over expressive ontologies.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Databases, Factual
  • Depression / drug therapy
  • Drug Design
  • Humans
  • Information Dissemination / methods
  • Information Storage and Retrieval / methods
  • Internet*
  • Knowledge Bases*
  • Pharmacogenetics*
  • Semantics*
  • Systems Integration
  • Terminology as Topic
  • Vocabulary, Controlled