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Related Experiment Videos

Three-dimensional structure analysis of PROSITE patterns.

A Kasuya1, J M Thornton

  • 1Department of Biochemistry & Molecular Biology, University College London, Gower Street, London, WC1E 6BT, UK.

Journal of Molecular Biology
|March 5, 1999
PubMed
Summary
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Searching protein sequences in the Protein Data Bank (PDB) revealed that true pattern matches share common 3D structures. This finding could enable the creation of 3D functional patterns for protein analysis.

Area of Science:

  • Bioinformatics
  • Structural Biology
  • Computational Biology

Background:

  • PROSITE database contains sequence patterns for protein families.
  • Protein Data Bank (PDB) archives protein 3D structures.
  • Distinguishing true functional patterns from false positives is crucial.

Purpose of the Study:

  • To investigate if true pattern matches in protein sequences exhibit common three-dimensional (3D) structures.
  • To determine if false positive pattern matches have distinct 3D structures.
  • To explore the potential for defining 3D functional patterns.

Main Methods:

  • Searched PROSITE sequence patterns against all protein sequences in the PDB.
  • Analyzed the 3D structures of pattern matches for the 20 most frequent patterns.

Related Experiment Videos

  • Compared the 3D structures of true positives and false positives.
  • Main Results:

    • True positives for each pattern consistently showed a common 3D structure.
    • False positives, identified for six patterns, displayed significantly different 3D structures compared to true positives.
    • A clear structural distinction exists between true and false pattern matches.

    Conclusions:

    • True sequence pattern matches possess characteristic, common 3D structures.
    • These common 3D structures can serve as templates for defining 3D functional patterns.
    • Structural analysis of pattern matches offers a method to improve pattern accuracy and functional prediction.