Revealing divergent evolution, identifying circular permutations and detecting active-sites by protein structure comparison
2006

New Method for Protein Structure Comparison

publication Evidence: high

Author Information

Author(s): Chen Luonan, Wu Ling-Yun, Wang Yong, Zhang Shihua, Zhang Xiang-Sun

Primary Institution: Institute of Systems Biology, Shanghai University

Hypothesis

Can a novel method improve the accuracy and efficiency of protein structure comparison?

Conclusion

The proposed method significantly improves the quality and efficiency of protein structure alignment.

Supporting Evidence

  • The method can reveal divergent evolution and identify structural motifs.
  • Numerical experiments show significant improvement over existing methods.
  • The software SAMO is available for further research and application.

Takeaway

This study introduces a new way to compare protein shapes that helps scientists understand how proteins evolve and function.

Methodology

The method formulates protein structure alignment as a multi-objective optimization problem, using a bipartite matching algorithm for efficient computation.

Limitations

The algorithm may not always find the globally optimal solution due to the non-convex nature of the problem.

Digital Object Identifier (DOI)

10.1186/1472-6807-6-18

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