Deciphering Diseases and Biological Targets for Environmental Chemicals using Toxicogenomics Networks

Karine Marie Laure Audouze, Agnieszka Juncker, Francisco José Sousa Simões Almeida Roque, Konrad Krysiak-Baltyn, Nils Weinhold, Olivier Taboureau, Thomas Skøt Jensen, Søren Brunak

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    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.
    Original languageEnglish
    JournalP L o S Computational Biology (Online)
    Volume6
    Issue number5
    Pages (from-to)e1000788
    ISSN1553-7358
    DOIs
    Publication statusPublished - 2010

    Bibliographical note

    This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

    Cite this

    Audouze, K. M. L., Juncker, A., 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. P L o S Computational Biology (Online), 6(5), e1000788. https://doi.org/10.1371/journal.pcbi.1000788