A Database for Cell Signaling Networks
- 1 January 1998
- journal article
- Published by Mary Ann Liebert Inc in Journal of Computational Biology
- Vol. 5 (4), 747-754
- https://doi.org/10.1089/cmb.1998.5.747
Abstract
We developed a data and knowledge base for cellular signal transduction in human cells, to make this rapidly growing information available. The database includes all the biological properties of cellular signal transduction, including biological reactions that transfer cellular signals and molecular attributes characterized by sequences, structures, and functions. Since the database is based on the object-oriented technique, highly flexible methods of data definition and modification are necessary to handle this diverse and complex biological information. The database includes attractive graphical representations of signaling cascades and the three-dimensional structure of molecules. The database is a novel application of ACEDB, which was the database originally developed to store the C. elegans genome. The database can be accessed through the Internet at http://geo.nihs.go.jp/csndb.html.Keywords
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