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Related Experiment Videos

Comprehensive evaluation of protein structure alignment methods: scoring by geometric measures.

Rachel Kolodny1, Patrice Koehl, Michael Levitt

  • 1Department of Structural Biology, Fairchild Building, Stanford University, Stanford CA 94305, USA. trachel@cs.stanford.edu

Journal of Molecular Biology
|February 11, 2005
PubMed
Summary

This study compared six protein structural alignment methods, finding STRUCTAL and SSM performed best. A new "Best-of-All" method combines results, improving protein structure comparison and analysis for function and evolution.

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Area of Science:

  • Structural bioinformatics
  • Computational biology
  • Protein structure analysis

Background:

  • Protein structural alignment is crucial for understanding protein function, evolution, and analyzing experimental data.
  • Existing methods for comparing protein structures vary in effectiveness and may miss optimal alignments.

Purpose of the Study:

  • To conduct the largest comparison of protein structural alignment methods.
  • To evaluate method performance based on alignment quality, not just detection rates.
  • To propose an improved method for protein structure comparison.

Main Methods:

  • Evaluated six programs (SSAP, STRUCTAL, DALI, LSQMAN, CE, SSM) on 8.5 million protein structure pairs from CATH v.2.4.
  • Initially used Receiver Operating Characteristic (ROC) curves with CATH classification.

Related Experiment Videos

  • Refined evaluation using four geometric match measures (SI, MI, SAS, GSAS) for alignment quality.

    • Main Results:

    • Significant variation in performance among the evaluated structural alignment methods.
    • STRUCTAL and SSM demonstrated superior performance, followed by LSQMAN and CE.
    • A novel 'Best-of-All' approach combining methods identified missed alignments in commonly used tools.

    Conclusions:

    • Existing protein structural alignment methods have limitations, missing many optimal alignments.
    • The 'Best-of-All' method offers improved accuracy in protein structure comparison.
    • This work will advance the development of better alignment tools, impacting protein science.