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Generalized affine gap costs for protein sequence alignment

S F Altschul1

  • 1National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, Maryland 20894, USA. altschul@ncbi.nlm.nih.gov

Proteins
|July 22, 1998
PubMed
Summary
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This study introduces generalized affine gap costs for protein sequence alignment, improving accuracy by ignoring nonconserved regions. These new costs enhance statistical significance and alignment quality for distantly related proteins.

Area of Science:

  • Bioinformatics
  • Computational Biology
  • Structural Biology

Background:

  • Affine gap costs penalize gap existence and length in sequence alignment.
  • Conserved residues in proteins often appear in ungapped blocks.
  • Existing methods struggle with deletions/insertions of multiple residues.

Purpose of the Study:

  • To propose a generalization of affine gap costs for sequence alignment.
  • To improve alignment accuracy and statistical significance.
  • To effectively handle ungapped blocks of conserved residues.

Main Methods:

  • Developed generalized affine gap cost model.
  • Empirically analyzed score distributions for local alignments.
  • Tested alignment accuracy and statistical significance against standard methods.

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Main Results:

  • Generalized gap costs allow ignoring nonconserved regions.
  • Score distributions follow an extreme value distribution.
  • Achieved superior alignments in statistical significance and accuracy.

Conclusions:

  • Generalized affine gap costs offer improved protein sequence alignment.
  • This method effectively utilizes conserved residue blocks.
  • Applicable to both local and multiple sequence alignment problems.