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Related Experiment Videos

PRINTS-S: the database formerly known as PRINTS.

T K Attwood1, M D Croning, D R Flower

  • 1School of Biological Sciences, The University of Manchester, Manchester M13 9PT, UK. attwood@bioinf.man.ac.uk

Nucleic Acids Research
|December 11, 1999
PubMed
Summary
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The PRINTS database stores protein family fingerprints, which are motif groups offering enhanced diagnostic power. Recent updates include automated maintenance and an object-relational schema for improved data management and accessibility.

Area of Science:

  • Bioinformatics
  • Computational Biology
  • Proteomics

Background:

  • The PRINTS database collects protein family fingerprints, defined as groups of motifs.
  • These fingerprints provide enhanced diagnostic potency compared to individual motifs due to contextual information from neighboring motifs.
  • The database currently contains approximately 1200 fingerprints and 7200 motifs.

Purpose of the Study:

  • To report on the growth and major changes to the PRINTS database.
  • To introduce an automated strategy for database maintenance.
  • To implement an object-relational schema for more efficient data management.

Main Methods:

  • Development of an automated strategy for database maintenance.
  • Implementation of an object-relational schema for data management.

Related Experiment Videos

  • Continued growth and updating of the protein motif collection.

    • Main Results:

    • The PRINTS database now houses around 1200 fingerprints and approximately 7200 motifs.
    • An automated maintenance strategy has been designed.
    • An object-relational schema has been implemented for efficient data management.
    • The database covers diverse protein types including globular and membrane proteins.

    Conclusions:

    • The PRINTS database is a growing resource for protein family fingerprints.
    • Automated maintenance and an object-relational schema enhance the database's efficiency and manageability.
    • The database remains accessible for various search types including BLAST, fingerprint, and text searches.