Paper Info
Title
The Database of Quantitative Cellular Signaling: management and analysis of chemical kinetic models of signaling networks.
Abstract
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.
Year
DOI
Venue
2003
10.1093/bioinformatics/btf860
BIOINFORMATICS
Keywords
Field
DocType
source code,chemical reaction,signal processing,data management,signaling pathway,complex network,high throughput,chemical kinetics,indexation,kinetics
Informatics,Proteomics,Computer science,Source code,Complex network,Bioinformatics,Cell signaling,Cell model,Data management,Database
Journal
Volume
Issue
ISSN
19
3.0
1367-4803
Citations 
PageRank 
References 
42
10.53
16
Authors
4
Name
Order
Citations
PageRank
Sudhir Sivakumaran14210.53
Sridhar Hariharaputran25012.11
Jyoti Mishra35713.25
Upinder S Bhalla433349.60