Drug-drug interaction analysis using heterogeneous biological information network

Kyubum Lee, Sunwon Lee, Minji Jeon, Jaehoon Choi, Jaewoo Kang

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    5 Citations (Scopus)

    Abstract

    As the number of drugs increases, more prescription choices are available for physicians, and consequently the number of drugs administered together has increased. Researchers are working on finding multi-drug prescriptions that are effective and safe. An efficient method for finding DDIs plays a crucial role in this research. In order to address the problem, we construct a heterogeneous biological information network by combining multiple different databases and interaction information. Our network includes the information about genes, proteins, pathways, drugs, side effects, targets and their interactions. We propose a metric to measure the relation strength between two nodes in the network, which is based on the weighted sum of the numbers of paths containing different interaction types. We use the metric to score DDI candidates. We found that the drugs sharing a disease are more likely to have a DDI than the drugs sharing a biomolecular target, and the metric using the weighted sum of the path numbers is effective to rank the potential DDIs. We validated the result with the PharmGKB DDI dataset and the Drugs.com drug interaction checker.

    Original languageEnglish
    Title of host publicationProceedings - 2012 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2012
    Pages623-627
    Number of pages5
    DOIs
    Publication statusPublished - 2012
    Event2012 IEEE International Conference on Bioinformatics and Biomedicine, BIBM2012 - Philadelphia, PA, United States
    Duration: 2012 Oct 42012 Oct 7

    Publication series

    NameProceedings - 2012 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2012

    Other

    Other2012 IEEE International Conference on Bioinformatics and Biomedicine, BIBM2012
    Country/TerritoryUnited States
    CityPhiladelphia, PA
    Period12/10/412/10/7

    Keywords

    • DDI
    • biological network
    • drug interaction
    • systems pharmacology

    ASJC Scopus subject areas

    • Biomedical Engineering
    • Health Informatics

    Fingerprint

    Dive into the research topics of 'Drug-drug interaction analysis using heterogeneous biological information network'. Together they form a unique fingerprint.

    Cite this