University Library
  • Login
A gateway to Melbourne's research publications
Minerva Access is the University's Institutional Repository. It aims to collect, preserve, and showcase the intellectual output of staff and students of the University of Melbourne for a global audience.
View Item 
  • Minerva Access
  • Engineering and Information Technology
  • Chemical and Biomolecular Engineering
  • Chemical and Biomolecular Engineering - Research Publications
  • View Item
  • Minerva Access
  • Engineering and Information Technology
  • Chemical and Biomolecular Engineering
  • Chemical and Biomolecular Engineering - Research Publications
  • View Item
JavaScript is disabled for your browser. Some features of this site may not work without it.

    Deciphering diseases and biological targets for environmental chemicals using toxicogenomics networks.

    Thumbnail
    Download
    Published version (883.1Kb)

    Citations
    Scopus
    Altmetric
    36
    Author
    Audouze, K; Juncker, AS; Roque, FJSSA; Krysiak-Baltyn, K; Weinhold, N; Taboureau, O; Jensen, TS; Brunak, S
    Date
    2010-05-20
    Source Title
    PLoS Computational Biology
    Publisher
    Public Library of Science (PLoS)
    University of Melbourne Author/s
    Krysiak-Baltyn, Konrad
    Affiliation
    Chemical and Biomolecular Engineering
    Metadata
    Show full item record
    Document Type
    Journal Article
    Citations
    Audouze, K., Juncker, A. S., Roque, F. J. S. S. A., Krysiak-Baltyn, K., Weinhold, N., Taboureau, O., Jensen, T. S. & Brunak, S. (2010). Deciphering diseases and biological targets for environmental chemicals using toxicogenomics networks.. PLoS Comput Biol, 6 (5), pp.e1000788-. https://doi.org/10.1371/journal.pcbi.1000788.
    Access Status
    Open Access
    URI
    http://hdl.handle.net/11343/265215
    DOI
    10.1371/journal.pcbi.1000788
    Open Access at PMC
    http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2873901
    Abstract
    Exposure to environmental chemicals and drugs may have a negative effect on human health. A better understanding of the molecular mechanism of such compounds is needed to determine the risk. We present a high confidence human protein-protein association network built upon the integration of chemical toxicology and systems biology. This computational systems chemical biology model reveals uncharacterized connections between compounds and diseases, thus predicting which compounds may be risk factors for human health. Additionally, the network can be used to identify unexpected potential associations between chemicals and proteins. Examples are shown for chemicals associated with breast cancer, lung cancer and necrosis, and potential protein targets for di-ethylhexyl-phthalate, 2,3,7,8-tetrachlorodibenzo-p-dioxin, pirinixic acid and permethrine. The chemical-protein associations are supported through recent published studies, which illustrate the power of our approach that integrates toxicogenomics data with other data types.

    Export Reference in RIS Format     

    Endnote

    • Click on "Export Reference in RIS Format" and choose "open with... Endnote".

    Refworks

    • Click on "Export Reference in RIS Format". Login to Refworks, go to References => Import References


    Collections
    • Minerva Elements Records [53039]
    • Chemical and Biomolecular Engineering - Research Publications [653]
    Minerva AccessDepositing Your Work (for University of Melbourne Staff and Students)NewsFAQs

    BrowseCommunities & CollectionsBy Issue DateAuthorsTitlesSubjectsThis CollectionBy Issue DateAuthorsTitlesSubjects
    My AccountLoginRegister
    StatisticsMost Popular ItemsStatistics by CountryMost Popular Authors