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Bioinformatics Vol. 19 no. 3 2003
Pages 408-415
© 2003 Oxford University Press

The Database of Quantitative Cellular Signaling: management and analysis of chemical kinetic models of signaling networks

Sudhir Sivakumaran , Sridhar Hariharaputran , Jyoti Mishra and Upinder S. Bhalla *

National Centre for Biological Sciences, GKVK Campus, Bangalore 560065, India

Received on February 15, 2002 ; revised on June 28, 2002 ; accepted on September 11, 2002

Motivation: Analysis of cellular signaling interactions is expected to pose an enormous informatics challenge, perhaps even larger than analyzing the genome. The complex networks arising from signaling processes are traditionally represented as block diagrams. A key step in the evolution toward a more quantitative understanding of signaling is to explicitly specify the kinetics of all chemical reaction steps in a pathway. Technical advances in proteomics and high-throughput protein interaction assays promise a flood of such quantitative data. While annotations, molecular information and pathway connectivity have been compiled in several databases, and there are several proposals for general cell model description languages, there is currently little experience with databases of chemical kinetics and reaction level models of signaling networks.

Results: The Database of Quantitative Cellular Signaling is a repository of models of signaling pathways. It is intended both to serve the growing field of chemical-reaction level simulation of signaling networks, and to anticipate issues in large-scale data management for signaling chemistry.

Availability: The Database of Quantitative Cellular Signaling is available at http://doqcs.ncbs.res.in. Links to the signaling model simulator, GENESIS/Kinetikit are at http://www.ncbs.res.in/~bhalla/kkit/index.html

Contact: bhalla{at}ncbs.res.in

* To whom correspondence should be addressed.


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