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Correlating protein-DNA and protein-protein interaction networks

MPG-Autoren
http://pubman.mpdl.mpg.de/cone/persons/resource/persons50420

Manke,  Thomas
Dept. of Computational Molecular Biology (Head: Martin Vingron), Max Planck Institute for Molecular Genetics, Max Planck Society;

http://pubman.mpdl.mpg.de/cone/persons/resource/persons50613

Vingron,  Martin
Gene regulation (Martin Vingron), Dept. of Computational Molecular Biology (Head: Martin Vingron), Max Planck Institute for Molecular Genetics, Max Planck Society;

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Zitation

Manke, T., Bringas, R., & Vingron, M. (2003). Correlating protein-DNA and protein-protein interaction networks. Journal of Molecular Biology, 333(1), 75-85. doi:10.1016/j.jmb.2003.08.004.


Zitierlink: http://hdl.handle.net/11858/00-001M-0000-0010-8986-A
Zusammenfassung
Here, we search protein–DNA binding data for prevalent pairs and higher-order tuples of co-occurring transcription factors (TF) in Saccharomyces cerevisiae. While the identification of such modules is dependent on uncertainties of genome-wide data sets, we find several biologically meaningful examples, which allow putative annotation of yet unclassified genes. For the frequently occurring transcriptional module Mcm1-Fkh2-Ndd1, we identified several new target genes involved in cell-cycle control and filament formation. Using large-scale protein interaction data, we demonstrate a significant correlation between co-occurrence of TF binding sites and the vicinity in the protein interaction network. In particular we find that directly interacting transcription factors and those which are members of a protein complex are more likely to occur together as putative DNA-binding modules.