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Pairwise sequence alignment below the twilight zone.

J D Blake1, F E Cohen

  • 1Department of Cellular and Molecular Pharmacology, University of California, Box 0450, San Francisco, CA 94143, USA.

Journal of Molecular Biology
|March 20, 2001
PubMed
Summary
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This study introduces novel structural interchange matrices to enhance protein sequence alignment accuracy for distantly related proteins. These matrices improve the identification of remote homologues and protein fold recognition, aiding in genomic analysis.

Area of Science:

  • Bioinformatics
  • Structural Biology
  • Computational Biology

Background:

  • Accurate sequence alignment is crucial for identifying remote protein homologues and for homology modeling.
  • Existing methods struggle with low pairwise identity, limiting the discovery of evolutionary relationships.
  • Protein substitution patterns differ significantly between closely and distantly related sequences.

Purpose of the Study:

  • To develop improved methods for sequence alignment at low pairwise identity.
  • To enhance the identification of remote protein homologues and improve fold recognition.
  • To leverage structural data for characterizing evolutionary residue-substitution profiles.

Main Methods:

  • Development of new amino acid residue interchange matrices derived from structural superposition data.

Related Experiment Videos

  • Exploitation of known structural homology to characterize evolutionary effects on residue-substitution profiles.
  • Application of cyclic permutation strategies to detect homologues with gene duplication and deletion events.

    • Main Results:

    • Structural interchange matrices significantly increase pairwise alignment accuracy for distantly related sequences.
    • Demonstrated enhanced functional annotation and fold recognition accuracy using the new matrices.
    • Successfully identified novel remote homologues in the Helicobacter pylori genome, including unannotated open reading frames.

    Conclusions:

    • Structural data provide a superior basis for developing alignment techniques for remote homologues.
    • The developed structural interchange matrices offer a chemically sensible and effective approach to improve sequence alignment and protein function prediction.
    • The new methods facilitate the discovery of evolutionary relationships and enhance genomic annotation efforts.