Literature DB >> 10072089

A database for cell signaling networks.

T Takai-Igarashi1, Y Nadaoka, T Kaminuma.   

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.

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Year:  1998        PMID: 10072089     DOI: 10.1089/cmb.1998.5.747

Source DB:  PubMed          Journal:  J Comput Biol        ISSN: 1066-5277            Impact factor:   1.479


  10 in total

1.  DIP: the database of interacting proteins.

Authors:  I Xenarios; D W Rice; L Salwinski; M K Baron; E M Marcotte; D Eisenberg
Journal:  Nucleic Acids Res       Date:  2000-01-01       Impact factor: 16.971

2.  TRANSFAC: an integrated system for gene expression regulation.

Authors:  E Wingender; X Chen; R Hehl; H Karas; I Liebich; V Matys; T Meinhardt; M Prüss; I Reuter; F Schacherer
Journal:  Nucleic Acids Res       Date:  2000-01-01       Impact factor: 16.971

3.  The aMAZE LightBench: a web interface to a relational database of cellular processes.

Authors:  Christian Lemer; Erick Antezana; Fabian Couche; Frédéric Fays; Xavier Santolaria; Rekin's Janky; Yves Deville; Jean Richelle; Shoshana J Wodak
Journal:  Nucleic Acids Res       Date:  2004-01-01       Impact factor: 16.971

4.  An automated method for finding molecular complexes in large protein interaction networks.

Authors:  Gary D Bader; Christopher W V Hogue
Journal:  BMC Bioinformatics       Date:  2003-01-13       Impact factor: 3.169

Review 5.  Cataloging the relationships between proteins: a review of interaction databases.

Authors:  Carol Rohl; Yancey Price; Tiffany B Fischer; Melissa Paczkowski; Michael F Zettel; Jerry Tsai
Journal:  Mol Biotechnol       Date:  2006-09       Impact factor: 2.860

6.  TRANSPATH: an information resource for storing and visualizing signaling pathways and their pathological aberrations.

Authors:  Mathias Krull; Susanne Pistor; Nico Voss; Alexander Kel; Ingmar Reuter; Deborah Kronenberg; Holger Michael; Knut Schwarzer; Anatolij Potapov; Claudia Choi; Olga Kel-Margoulis; Edgar Wingender
Journal:  Nucleic Acids Res       Date:  2006-01-01       Impact factor: 16.971

7.  EndoNet: an information resource about endocrine networks.

Authors:  Anatolij Potapov; Ines Liebich; Jürgen Dönitz; Knut Schwarzer; Nicole Sasse; Torsten Schoeps; Torsten Crass; Edgar Wingender
Journal:  Nucleic Acids Res       Date:  2006-01-01       Impact factor: 16.971

8.  A basis for a visual language for describing, archiving and analyzing functional models of complex biological systems.

Authors:  D L Cook; J F Farley; S J Tapscott
Journal:  Genome Biol       Date:  2001-03-22       Impact factor: 13.583

9.  Developing a protein-interactions ontology.

Authors:  Esther Ratsch; Jörg Schultz; Jasmin Saric; Philipp Cimiano Lavin; Ulrike Wittig; Uwe Reyle; Isabel Rojas
Journal:  Comp Funct Genomics       Date:  2003

10.  Pathway databases.

Authors:  J Wixon
Journal:  Comp Funct Genomics       Date:  2001
  10 in total

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