The Translational Medicine Ontology and Knowledge Base: driving personalized medicine by bridging the gap between bench and bedside

Joanne S. Luciano, Bosse Andersson, Colin Batchelor, Olivier Bodenreider, Tim Clark, Christine K Denney, Christopher Domarew, Thomas Gambet, Lee Harland, Anja Jentzsch, Vipul Kashyap, Peter Kos, Julia Kozlovsky, Timothy Lebo, M Scott Marshall, James P. McCusker, Deborah L. McGuinness, Chimezie Ogbuji, Elgar Pichler, Robert L. PowersEric Prud'hommeaux, Matthias Samwald, Lynn Schriml, Peter J Tonellato, Patricia L. Whetzel, Jun Zhao, Susie Stephens, Michel Dumontier*

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review


BACKGROUND: Translational medicine requires the integration of knowledge using heterogeneous data from health care to the life sciences. Here, we describe a collaborative effort to produce a prototype Translational Medicine Knowledge Base (TMKB) capable of answering questions relating to clinical practice and pharmaceutical drug discovery.

RESULTS: We developed the Translational Medicine Ontology (TMO) as a unifying ontology to integrate chemical, genomic and proteomic data with disease, treatment, and electronic health records. We demonstrate the use of Semantic Web technologies in the integration of patient and biomedical data, and reveal how such a knowledge base can aid physicians in providing tailored patient care and facilitate the recruitment of patients into active clinical trials. Thus, patients, physicians and researchers may explore the knowledge base to better understand therapeutic options, efficacy, and mechanisms of action.

CONCLUSIONS: This work takes an important step in using Semantic Web technologies to facilitate integration of relevant, distributed, external sources and progress towards a computational platform to support personalized medicine.

AVAILABILITY: TMO can be downloaded from and TMKB can be accessed at

Original languageEnglish
Pages (from-to)S1
JournalJournal of biomedical semantics
Volume2 Suppl 2
Publication statusPublished - 17 May 2011
Externally publishedYes


  • Journal Article

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