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

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

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

Journal: J Biomed Semantics 2011 2 Suppl 2 pagination S1

PMID: 21624155


ISSN: 2041-1480


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