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A multiple sequence alignment algorithm for homologous proteins using secondary structure information and optionally

C M Henneke1

  • 1School of Chemistry, University of Bath, Claverton Down, UK.

Computer Applications in the Biosciences : CABIOS
|April 1, 1989
PubMed
Summary

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This study introduces enhanced protein sequence alignment software. The new tools offer improved analysis by penalizing gaps in secondary structures and introducing a novel sum-score for better homology assessment.

Area of Science:

  • Bioinformatics
  • Computational Biology
  • Structural Bioinformatics

Background:

  • Protein sequence alignment is crucial for understanding protein function and evolution.
  • Existing alignment tools may not adequately account for structural features or specific residue importance.
  • The Needleman-Wunsch and Barton-Sternberg methods are foundational for sequence alignment.

Purpose of the Study:

  • To present a suite of programs for advanced protein sequence alignment.
  • To incorporate features that penalize gaps in protein secondary structures.
  • To introduce a novel scoring system for more accurate homology assessment.

Main Methods:

  • Development of a software suite for pairwise and multiple sequence alignment.
  • Implementation of gap penalties within protein secondary structure regions.

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  • Inclusion of residue weighting for active sites and other functionally important residues.
  • Introduction of a gap-penalty-independent sum-score for alignment evaluation.

    • Main Results:

    • The alignment programs can penalize gaps in protein secondary structure regions.
    • Optional weighting of key residues allows for biased alignment towards functionally important sites.
    • A new sum-score provides a more accurate measure of alignment quality than traditional gap-penalty-dependent scores.
    • Individual amino acid similarity scores are provided for detailed homology assessment.

    Conclusions:

    • The developed software offers enhanced capabilities for protein sequence analysis.
    • The novel scoring system and residue weighting improve the accuracy and relevance of alignments.
    • These tools facilitate a more quantitative assessment of homology in protein chains.