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Briefings in Functional Genomics and Proteomics Advance Access published online on February 20, 2006
Briefings in Functional Genomics and Proteomics, doi:10.1093/bfgp/ell004
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© The Author 2006. Published by Oxford University Press. All rights reserved. For permissions please email: journals.permissions@oxfordjournals.org

Paper

From components to regulatory motifs in signalling networks

Avi Ma'ayan * and Ravi Iyengar

* To whom correspondence should be addressed.
Avi Ma'ayan, E-mail: Avi.Maayan{at}mssm.edu


  Abstract

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.

Avi Ma'ayan is a graduate student in the Iyengar Laboratory in the Department of Pharmacology and Biological Chemistry, Mount Sinai School of Medicine, New York, NY, USA. His research interests focus on the analysis of large-scale mammalian cellular signal transduction networks using computational methods.

Ravi Iyengar is Professor and Chair of the Department of Pharmacology and Biological Chemistry at Mount Sinai School of Medicine, New York, NY, USA. His laboratory focuses on cellular signalling systems with an emphasis on heterotrimeric G proteins and integration of experimental and computational approaches to investigate cell signalling systems.


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