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


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2011-12

AUTHORS

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, Scott M Marshall, James P McCusker, Deborah L McGuinness, Chimezie Ogbuji, Elgar Pichler, Robert L Powers, Eric Prud’hommeaux, Matthias Samwald, Lynn Schriml, Peter J Tonellato, Patricia L Whetzel, Jun Zhao, Susie Stephens, Michel Dumontier

ABSTRACT

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 http://code.google.com/p/translationalmedicineontology and TMKB can be accessed at http://tm.semanticscience.org/sparql. More... »

PAGES

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  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1186/2041-1480-2-s2-s1

    DOI

    http://dx.doi.org/10.1186/2041-1480-2-s2-s1

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1026078352

    PUBMED

    https://www.ncbi.nlm.nih.gov/pubmed/21624155


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