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MEROPS: the peptidase database.

Neil D Rawlings1, Dominic P Tolle, Alan J Barrett

  • 1The Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge CB10 1SA, UK. ndr@sanger.ac.uk

Nucleic Acids Research
|December 19, 2003
PubMed
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The MEROPS database provides integrated information on peptidases (proteolytic enzymes) and their inhibitors. It features a hierarchical classification system and has recently expanded to include new data and search functionalities for broader biological research applications.

Area of Science:

  • Biochemistry
  • Molecular Biology
  • Bioinformatics

Background:

  • Peptidases (proteolytic enzymes) are crucial in biological processes, medicine, and biotechnology.
  • A comprehensive information source for peptidases and their natural inhibitors is needed.
  • The MEROPS database was developed to address this need.

Purpose of the Study:

  • To present the MEROPS database as an integrated resource for peptidase and inhibitor information.
  • To describe the database's hierarchical classification system.
  • To highlight recent expansions and new features.

Main Methods:

  • Hierarchical classification of peptidases and inhibitors into families and clans.
  • Inclusion of new data types such as links to other databases, clan alignments, and organism distribution.

Related Experiment Videos

  • Development of new hyperlink functionalities and a BlastP search tool.

    • Main Results:

    • The MEROPS database organizes peptidases and inhibitors using a hierarchical structure.
    • Recent updates include expanded data on inhibitors, new inter-database links, and visualization tools.
    • Enhanced search capabilities with a new BlastP feature and improved linking.

    Conclusions:

    • MEROPS serves as a vital, integrated resource for researchers studying peptidases and their inhibitors.
    • The database's continuous expansion and improved accessibility support diverse biological and biotechnological research.
    • The hierarchical classification and new features enhance data discovery and utilization.