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Alignment algorithm for homology modeling and threading

N N Alexandrov1, R Luethy

  • 1Amgen, Inc., Thousand Oaks, California 91320-1789, USA. nicka@amgen.com

Protein Science : a Publication of the Protein Society
|April 1, 1998
PubMed
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This study introduces a modified sequence alignment algorithm to better handle structurally mismatched regions. This improvement enhances the accuracy of protein sequence alignments for homology modeling.

Area of Science:

  • Computational Biology
  • Bioinformatics
  • Structural Biology

Background:

  • Sequence comparison is crucial for understanding protein/genomic relationships and structural modeling.
  • Accurate sequence alignment is the primary step in homology modeling.
  • Existing alignment algorithms struggle with structurally mismatched residues in dissimilar regions.

Purpose of the Study:

  • To propose a modification to existing sequence alignment algorithms.
  • To improve the treatment of structurally mismatched residues.
  • To enhance the accuracy of sequence alignments for real proteins.

Main Methods:

  • A simple modification to a commonly used sequence alignment algorithm was developed.
  • The modified algorithm was tested on real protein sequences.

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  • The effectiveness of the modification was demonstrated through improved alignments.

    • Main Results:

    • The proposed modification adequately treats structurally mismatched residues.
    • The improved algorithm yields more accurate sequence alignments.
    • This enhancement is particularly beneficial for locally dissimilar regions.

    Conclusions:

    • The modified alignment algorithm offers a significant improvement over existing methods.
    • This approach enhances the reliability of homology modeling.
    • The findings contribute to more precise computational analysis in molecular biology.