• DocumentCode
    3194808
  • Title

    Correlating adverse drug reactions with biological pathways in humans

  • Author

    Huiru Zheng ; Haiying Wang ; Hua Xu ; Zhongming Zhao ; Azuaje, Francisco

  • Author_Institution
    Sch. of Comput. & Math., Univ. of Ulster, Belfast, UK
  • fYear
    2013
  • fDate
    18-21 Dec. 2013
  • Firstpage
    197
  • Lastpage
    200
  • Abstract
    It has been well recognized that adverse drug reactions (ADRs) are a significant cause of morbidity and mortality. There is a growing interest in investigating biological pathways involved in cellular response to drugs. Based on examining the co-occurrence of drugs in pathway activity and ADR profiles, in this paper, we propose a new method to explore the relationship between biological pathways and ADRs at a large scale. Using sparse canonical correlation analysis of 495 drugs with two profiles for 173 pathways and 1385 ADRs, a total of 80 correlated sets of pathways and ADRs were extracted. To evaluate the performance of our method, extracted correlated components were used to retrieve known ADR profiles from drug pathway profiles using a 5-fold cross validation. A relatively high prediction performance (AUC: 0.881) was achieved. This work provides a foundation for future investigation of ADRs in the context of biological pathways under different conditions.
  • Keywords
    biochemistry; drugs; 5-fold cross validation; ADR profiles; adverse drug reactions; biological pathways; cellular response; drug pathway profiles; high prediction performance; sparse canonical correlation analysis; Bioinformatics; Chemicals; Correlation; Drugs; Proteins; Vectors; Pathway; adverse drug reactions; sparse canonical correlation analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Bioinformatics and Biomedicine (BIBM), 2013 IEEE International Conference on
  • Conference_Location
    Shanghai
  • Type

    conf

  • DOI
    10.1109/BIBM.2013.6732488
  • Filename
    6732488