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Comparative analysis of protein structure alignments.

Gabriele Mayr1, Francisco S Domingues, Peter Lackner

  • 1Department of Molecular Biology, University of Salzburg, Salzburg, Austria. gmayr@mpi-inf.mpg.de <gmayr@mpi-inf.mpg.de>

BMC Structural Biology
|August 4, 2007
PubMed
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Comparing protein structure alignment methods reveals considerable agreement, especially for simpler protein pairs. However, challenging alignments show lower agreement, indicating a need for improved computational approaches in structural biology.

Area of Science:

  • Structural bioinformatics
  • Computational biology
  • Protein structure analysis

Background:

  • Multiple computational methods exist for protein structure comparison.
  • Previous studies focused on method performance in identifying related proteins.
  • Objective comparison of alignments generated by different methods has been less explored.

Purpose of the Study:

  • To objectively compare structural alignments produced by various protein structure comparison methods.
  • To assess the agreement and accuracy of alignments generated by different algorithms.
  • To evaluate method performance on diverse protein structure datasets, including challenging cases.

Main Methods:

  • Analysis of structural alignments from multiple methods (CE, DALI, FATCAT, MATRAS, Calpha-match, SHEBA).

Related Experiment Videos

  • Utilized three distinct protein pair datasets: ASTRAL40 (remote homologs), SISY (general), and RIPC (challenging).
  • Compared alignments against reference alignments to assess accuracy.

    • Main Results:

    • High correlation observed between CE and DALI on the ASTRAL40 dataset, with over 50% agreement in aligned positions.
    • Methods showed over 50% agreement with reference alignments on the SISY dataset.
    • Alignments on the challenging RIPC set exhibited considerable differences and lower accuracy compared to reference alignments.

    Conclusions:

    • Protein structure alignment methods demonstrate substantial agreement, particularly for less complex protein pairs.
    • Agreement decreases significantly for challenging alignments involving large indels, conformational variability, or circular permutations.
    • While results are encouraging, further development is needed to enhance alignment accuracy for difficult protein structure comparisons.