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PRINTS--a protein motif fingerprint database

T K Attwood1, M E Beck

  • 1Department of Biochemistry, University of Leeds, UK.

Protein Engineering
|July 1, 1994
PubMed
Summary
This summary is machine-generated.

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The PRINTS database uses protein

Area of Science:

  • Bioinformatics and Computational Biology
  • Protein Sequence Analysis
  • Database Development

Background:

  • Conventional methods for protein pattern recognition often rely on single consensus sequences.
  • There is a need for more flexible and powerful tools to characterize protein folds and functions.

Purpose of the Study:

  • To describe the PRINTS database of protein 'fingerprints'.
  • To highlight the advantages of using multiple, spatially separated motifs for protein characterization.

Main Methods:

  • Protein fingerprints are derived from conserved regions of sequence alignments.
  • Motifs are refined using iterative scanning against large composite sequence databases like OWL.
  • Fingerprints consist of multiple, non-overlapping motifs that can be linearly or spatially separated.

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Main Results:

  • The PRINTS database (version 4.0) contains 150 entries, representing over 700 motifs.
  • These fingerprints cover diverse protein types, including globular and membrane proteins.
  • The database offers complementary information to single-pattern approaches like PROSITE.

Conclusions:

  • PRINTS provides a powerful and flexible approach to protein fold and function characterization.
  • The use of multiple motifs enhances diagnostic power compared to single patterns.
  • Iterative database scanning and composite databases contribute to the database's growth and utility.