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Comparison of protein structures by multi-objective optimization.

Luonan Chen1, Ling-Yun Wu, Ruiqi Wang

  • 1Department of Electrical Engineering and Electronics, Osaka Sangyo University, Daito, Osaka 574-8530, Japan. chen@elec.osaka-sandai.ac.jp

Genome Informatics. International Conference on Genome Informatics
|August 12, 2006
PubMed
Summary

This study introduces a new protein structure comparison method using decomposition. It optimizes alignments by balancing atom matches and distance, offering flexible results for various protein structures.

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Area of Science:

  • Computational Biology
  • Structural Bioinformatics
  • Biophysics

Background:

  • Protein structure comparison is crucial for understanding protein function and evolution.
  • Existing methods often struggle with the complexity of multi-objective optimization in structural alignments.

Purpose of the Study:

  • To develop a novel, efficient method for protein structure comparison.
  • To address the challenge of optimizing both the number of aligned atoms and their root mean square distance simultaneously.

Main Methods:

  • A decomposition technique is employed to define protein structure alignment as a multi-objective optimization problem.
  • The method incorporates both discrete (atom matching) and continuous (distance) variables.
  • A single distance-related parameter is used to control the trade-off between alignment coverage and accuracy.

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Main Results:

  • The proposed method can generate a spectrum of optimal alignments by adjusting a single parameter.
  • Alignment results range from maximizing shared structural elements to focusing on precise matches.
  • The computational complexity scales nearly linearly with the number of atoms in the protein pairs.

Conclusions:

  • The novel method provides a flexible and theoretically grounded approach to protein structure comparison.
  • It offers a way to explore diverse optimal alignments, aiding in the analysis of protein structural relationships.
  • The associated software (SAMO) is available for researchers.