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The PROSITE database, its status in 1997

A Bairoch1, P Bucher, K Hofmann

  • 1Department of Medical Biochemistry, University of Geneva, 1 rue Michel Servet, 1211 Geneva 4, Switzerland. bairoch@cmu.unige.ch

Nucleic Acids Research
|January 1, 1997
PubMed
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The PROSITE database provides protein patterns and profiles for identifying protein families and domains. Computational tools use this data to classify new protein sequences accurately.

Area of Science:

  • Bioinformatics
  • Computational Biology
  • Protein Science

Background:

  • Protein sequence analysis is crucial for understanding protein function and evolution.
  • Identifying protein families and domains aids in biological research and drug discovery.

Purpose of the Study:

  • To describe the PROSITE database, a resource for protein pattern and profile analysis.
  • To highlight the utility of PROSITE in classifying novel protein sequences.

Main Methods:

  • PROSITE database curation involves defining biologically significant patterns and profiles.
  • Computational tools are employed to match new protein sequences against PROSITE entries.

Main Results:

  • PROSITE enables the assignment of unknown protein sequences to known families.

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  • It facilitates the identification of known domains within novel protein sequences.

    • Conclusions:

    • The PROSITE database is a valuable tool for protein sequence classification.
    • Its patterns and profiles, when used with computational methods, enhance the understanding of protein families and domains.