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

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Audouze, K; Juncker, AS; Roque, FJSSA; Krysiak-Baltyn, K; Weinhold, N; Taboureau, O; Jensen, TS; Brunak, SDate
2010-05-20Source Title
PLoS Computational BiologyPublisher
Public Library of Science (PLoS)University of Melbourne Author/s
Krysiak-Baltyn, KonradAffiliation
Chemical and Biomolecular EngineeringMetadata
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Journal ArticleCitations
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 AccessOpen Access at PMC
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2873901Abstract
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.
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