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Related Experiment Videos

A database for cell signaling networks.

T Takai-Igarashi1, Y Nadaoka, T Kaminuma

  • 1Division of Chem-Bio Informatics, National Institute of Health Sciences, Setagaya, Tokyo, Japan. taka@nihs.go.jp

Journal of Computational Biology : a Journal of Computational Molecular Cell Biology
|March 11, 1999
PubMed
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We created a database for human cellular signal transduction, organizing biological reactions and molecular data. This resource offers graphical views of signaling pathways and molecular structures for researchers.

Area of Science:

  • Cellular Biology
  • Bioinformatics
  • Molecular Biology

Background:

  • Cellular signal transduction is a rapidly expanding field with complex biological information.
  • Existing data on signaling pathways and molecular attributes are often fragmented.
  • A centralized, accessible resource is needed to manage this information.

Purpose of the Study:

  • To develop a comprehensive data and knowledge base for cellular signal transduction in human cells.
  • To organize diverse biological properties, including reactions, sequences, structures, and functions.
  • To provide graphical representations of signaling cascades and molecular 3D structures.

Main Methods:

  • Utilized an object-oriented technique for flexible data definition and modification.

Related Experiment Videos

  • Adapted the ACEDB (A C. elegans Database) system for biological data storage.
  • Integrated graphical visualization tools for signaling pathways and molecular structures.

    • Main Results:

    • Developed a novel database for human cellular signal transduction.
    • Included detailed biological properties of signaling pathways and molecules.
    • Provided web accessibility to the database at http://geo.nihs.go.jp/csndb.html.

    Conclusions:

    • The database offers a valuable, integrated resource for studying human cellular signal transduction.
    • Its flexible design accommodates complex and diverse biological data.
    • Facilitates research by providing accessible pathway and molecular structure information.