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Related Experiment Videos

Sensitivity and selectivity in protein structure comparison.

Michael L Sierk1, William R Pearson

  • 1Department of Biochemistry and Molecular Genetics, University of Virginia Health System, Charlottesville, VA 22908, USA.

Protein Science : a Publication of the Protein Society
|February 24, 2004
PubMed
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Protein structure comparison tools like Dali outperform sequence alignment methods in detecting homologous protein domains. Dali identifies more true positives with fewer errors, establishing a benchmark for structural comparison accuracy.

Area of Science:

  • Structural bioinformatics
  • Computational biology
  • Protein science

Background:

  • Accurate detection of protein homologs and domain topologies is crucial for understanding protein function and evolution.
  • Existing methods for protein structure and sequence comparison vary in their effectiveness and error rates.

Purpose of the Study:

  • To evaluate and compare the performance of seven protein structure comparison methods and two sequence comparison programs.
  • To assess their ability to detect homologous protein domains and shared topologies using the CATH database.
  • To quantify the statistical distinction between analogous and homologous protein structures.

Main Methods:

  • Tested structure alignment programs: Dali, Structal, Combinatorial Extension (CE), VAST, Matras.

Related Experiment Videos

  • Included domain distance methods: SGM, PRIDE.
  • Evaluated sequence alignment programs: SSEARCH, PSI-BLAST.
  • Utilized the CATH structure database for defining true positives and topology pairs.

    • Main Results:

    • Structure alignment programs detected approximately twice as many homologous domains as sequence alignment programs.
    • Dali identified the highest number of homologs (28.7%-45.7%) at a low error rate (0.1 EPQ).
    • Most structural alignment programs overestimate alignment significance compared to actual error distributions.

    Conclusions:

    • Protein structure comparison methods, particularly Dali, offer superior performance over sequence-based methods for detecting homologous domains.
    • The study provides a quantitative benchmark for structure comparison statistics, aiding in distinguishing analogous from homologous structures.
    • Statistical significance estimates from structural alignment tools require careful interpretation due to overestimation of alignment significance.