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MASCOT: multiple alignment system for protein sequences based on three-way dynamic programming

M Hirosawa1, M Hoshida, M Ishikawa

  • 1Institute for New Generation Computer Technology (ICOT), Tokyo, Japan.

Computer Applications in the Biosciences : CABIOS
|April 1, 1993
PubMed
Summary
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We developed MASCOT, a novel multiple alignment system. MASCOT improves protein structure prediction by sustaining alignment reliability, even with low sequence similarity, using three-way alignment and simulated annealing.

Area of Science:

  • Bioinformatics
  • Computational Biology
  • Structural Biology

Background:

  • High-quality multiple sequence alignment is crucial for predicting protein structures.
  • Existing two-way alignment methods lack reliability with reduced sequence similarity.

Purpose of the Study:

  • To develop a robust multiple alignment system that maintains reliability for low-similarity sequences.
  • To enhance protein structure prediction accuracy through improved alignment methodologies.

Main Methods:

  • Developed the MASCOT multiple alignment system.
  • Employed both two-way and three-way alignment strategies.
  • Utilized simulated annealing for alignment refinement.
  • Incorporated cluster analysis for enhanced reliability.

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Main Results:

  • MASCOT sustains alignment reliability even with low sequence similarity.
  • Achieved high-quality protein sequence alignments.
  • Refined alignments demonstrate superior quality through simulated annealing.

Conclusions:

  • MASCOT offers a significant advancement in multiple sequence alignment for protein structure prediction.
  • The system's ability to handle low-similarity sequences addresses a key limitation of previous methods.