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TargetDB: a target registration database for structural genomics projects.

Li Chen1, Rose Oughtred, Helen M Berman

  • 1Research Collaboratory for Structural Bioinformatics, Protein Data Bank, Department of Chemistry and Chemical Biology, Rutgers, The State University of New Jersey, 610 Taylor Road, Piscataway, NJ 08854, USA.

Bioinformatics (Oxford, England)
|May 8, 2004
PubMed
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TargetDB is a centralized database for protein target information from structural genomics projects. It tracks protein production and structure determination progress, offering data download and search functionalities.

Area of Science:

  • Biochemistry
  • Structural Biology
  • Bioinformatics

Background:

  • TargetDB is a centralized database for protein target data.
  • It aggregates information from NIH structural genomics centers and international collaborators.
  • The database is hosted by the Protein Data Bank (RCSB PDB).

Purpose of the Study:

  • To provide a centralized platform for registering and tracking protein targets.
  • To offer status updates on target sequences throughout production and structure determination.
  • To facilitate data retrieval and analysis for structural genomics initiatives.

Main Methods:

  • Centralized data aggregation from multiple structural genomics sites.
  • Implementation of a status tracking system for protein production and structure determination.

Related Experiment Videos

  • Development of a search interface for querying target data by various parameters.
  • Provision of data download in XML format.

    • Main Results:

    • Successfully integrated protein target data from NIH and international structural genomics centers.
    • Established a system for monitoring the progress of individual targets and entire projects.
    • Enabled efficient searching of target information including sequence, status, and contributing site.
    • Facilitated data accessibility through XML downloads.

    Conclusions:

    • TargetDB serves as a valuable resource for the structural genomics community.
    • The database enhances data sharing and project management in structural biology.
    • It streamlines the process of tracking and accessing protein target information.