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


BACKGROUND
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 and are also provided from within the database. The database source code is available under the GNU Public License.
Sivakumaran
Sudhir
S
National Centre for Biological Sciences, GKVK Campus, Bangalore 560065, India.
Hariharaputran
Sridhar
S
Mishra
Jyoti
J
Bhalla
Upinder S
US
D000043:Abstracting and Indexing / Q000379:methods; D003628:Database Management Systems; D016208:Databases, Factual; D016247:Information Storage and Retrieval / Q000379:methods; D007700:Kinetics; D008954:Models, Biological; D008956:Models, Chemical; D015398:Signal Transduction / Q000502:physiology*