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Briefings in Functional Genomics and Proteomics Advance Access originally published online on February 20, 2006
Briefings in Functional Genomics and Proteomics 2006 5(1):57-61; doi:10.1093/bfgp/ell004
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© Oxford University Press, 2006, All rights reserved. For permissions, please email: journals.permissions@oxfordjournals.org

Special Issues Papers

From components to regulatory motifs in signalling networks

Avi Ma'ayan and Ravi Iyengar

Corresponding author. Avi Ma'ayan, Department of Pharmacology and Biological Chemistry, Mount Sinai School of Medicine, 1 Gustave Levy Place, New York, NY 10029, USA. Tel: +1 212 659 1700; Fax: +1 212 831 0114. E-mail: Avi.Maayan{at}mssm.edu

The developments in biochemistry and molecular biology over the past 30 years have produced an impressive parts list of cellular components. It has become increasingly clear that we need to understand how components come together to form systems. One area where this approach has been growing is cell signalling research. Here, instead of focusing on individual or small groups of signalling proteins, researchers are now using a more holistic perspective. This approach attempts to view how many components are working together in concert to process information and to orchestrate cellular phenotypic changes. Additionally, the advancements in experimental techniques to measure and visualize many cellular components at once gradually grow in diversity and accuracy. The multivariate data, produced by experiments, introduce new and exciting challenges for computational biologists, who develop models of cellular systems made up of interacting cellular components. The integration of high-throughput experimental results and information from legacy literature is expected to produce computational models that would rapidly enhance our understanding of the detail workings of mammalian cells.

Keywords: cell signalling, systems biology, network analysis, biochemical networks, graph theory


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A. Lipshtat, S. P. Purushothaman, R. Iyengar, and A. Ma'ayan
Functions of Bifans in Context of Multiple Regulatory Motifs in Signaling Networks
Biophys. J., April 1, 2008; 94(7): 2566 - 2579.
[Abstract] [Full Text] [PDF]


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