Sciweavers

BMCBI
2002

Automated modelling of signal transduction networks

13 years 10 months ago
Automated modelling of signal transduction networks
Background: Intracellular signal transduction is achieved by networks of proteins and small molecules that transmit information from the cell surface to the nucleus, where they ultimately effect transcriptional changes. Understanding the mechanisms cells use to accomplish this important process requires a detailed molecular description of the networks involved. Results: We have developed a computational approach for generating static models of signal transduction networks which utilizes protein-interaction maps generated from large-scale twohybrid screens and expression profiles from DNA microarrays. Networks are determined entirely by integrating protein-protein interaction data with microarray expression data, without prior knowledge of any pathway intermediates. In effect, this is equivalent to extracting subnetworks of the protein interaction dataset whose members have the most correlated expression profiles. Conclusion: We show that our technique accurately reconstructs MAP Kinas...
Martin Steffen, Allegra Petti, John Aach, Patrik D
Added 17 Dec 2010
Updated 17 Dec 2010
Type Journal
Year 2002
Where BMCBI
Authors Martin Steffen, Allegra Petti, John Aach, Patrik D'haeseleer, George M. Church
Comments (0)