Exploring the Pharmacogenomics Knowledge Base (PharmGKB) for Repositioning Breast Cancer Drugs by Leveraging Web Ontology Language (OWL) and Cheminformatics Approaches

Qian Zhu, Cui Tao, Feichen Shen, Christopher Chute

1Department of Health Sciences Research, Mayo Clinic, Rochester; 2School of Biomedical Informatics, University of Texas Health Science Center at Houston; 3School of Computing and Engineering, University of Missouri-Kansas City, Kansas City; 4Department of Health Sciences Research, Mayo Clinic, Rochester
Email: zhu.qian@mayo.edu1, cui.tao@uth.tmc.edu2, fsm89@mail.umkc.edu3, chute@mayo.edu4

Pacific Symposium on Biocomputing 19:172-182(2014)


We explored PharmGKB to identify pharmacogenomics related associations as pharmacogenomics profiles for US Food and Drug Administration (FDA) approved breast cancer drugs. We then converted and represented these profiles in Semantic Web notations, which support automated semantic inference.

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