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STCDB: Signal Transduction Classification Database.

Ming Chen1, Susana Lin, Ralf Hofestaedt

  • 1Department of Bioinformatics and Medical Informatics, Faculty of Technology, University of Bielefeld, Postfach 100131, D-33501 Bielefeld, Germany. mchen@techfak.uni-bielefeld.de

Nucleic Acids Research
|December 19, 2003
PubMed
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The Signal Transduction Classification Database (STCDB) offers a structured classification for signal transduction pathways. This resource details characterized pathways in eukaryotic cells, assigning unique ST numbers for easy reference.

Area of Science:

  • Biochemistry
  • Cell Biology
  • Molecular Biology

Background:

  • Signal transduction is crucial for cellular communication and response.
  • Existing classifications of signal transduction pathways are fragmented.
  • A standardized system is needed for organizing and understanding these pathways.

Purpose of the Study:

  • To present the first version of a comprehensive classification for signal transduction in eukaryotic cells.
  • To establish a unique identifier (ST number) for each characterized signal transduction pathway.
  • To provide a publicly accessible database (STCDB) for this classification.

Main Methods:

  • Development of a novel classification system for signal transduction.
  • Systematic identification and categorization of characterized signal transduction pathways.

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  • Creation of a database to store and present the classification data.

    • Main Results:

    • The Signal Transduction Classification Database (STCDB) has been established.
    • A classification system for signal transduction in eukaryotic cells is presented.
    • Each classified pathway is assigned a unique ST number.

    Conclusions:

    • The STCDB provides a foundational resource for the systematic study of signal transduction.
    • This classification facilitates research by offering a standardized nomenclature and reference system.
    • The database is accessible online for the scientific community.