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Decoy models for protein structure comparison score normalisation.

William R Taylor1

  • 1Division of Mathematical Biology, National Institute for Medical Research, The Ridgeway, Mill Hill, London NW7 1AA, UK. wtaylor@nimr.mrc.ac.uk

Journal of Molecular Biology
|February 7, 2006
PubMed
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A new method generates decoy protein models for accurate structure comparison. This approach ensures reliable background score distributions, improving the assessment of protein fold similarities and differences.

Area of Science:

  • Computational biology
  • Structural bioinformatics
  • Protein structure analysis

Background:

  • Protein structure comparison is crucial for understanding protein function and evolution.
  • Existing methods for generating background score distributions can be complex and require normalization.
  • Accurate comparison necessitates methods that account for structural properties while differentiating folds.

Purpose of the Study:

  • To develop a novel method for constructing decoy models for protein structure comparison.
  • To establish a robust background score distribution for evaluating structural similarities.
  • To enable accurate comparison of proteins, including substructure and domain matches, and facilitate joint family/family comparisons.

Main Methods:

  • Decoy models are generated directly from the proteins being compared.

Related Experiment Videos

  • Decoy models retain essential structural properties: length, density, shape, and secondary structure composition.
  • The method inherently handles proteins of the same length, eliminating the need for explicit length normalization.
  • Main Results:

    • The described method produces decoy models with different folds but preserved structural characteristics.
    • Substructure and domain matches are scored comparably to isolated domain comparisons.
    • A normalized probability measure was derived, enabling effective joint family/family comparisons.
    • The method was successfully applied to CASP6 models, including targets with novel folds.

    Conclusions:

    • The developed method provides a reliable way to generate background score distributions for protein structure comparison.
    • This approach simplifies comparisons by avoiding explicit length normalization and allows for nuanced assessment of structural similarity.
    • The technique is effective for comparing proteins of various complexities, including those with new folds, as demonstrated in CASP6.