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Feedback algorithm and web-server for protein structure alignment.

Zhiyu Zhao1, Bin Fu, Francisco J Alanis

  • 1Department of Computer Science, University of New Orleans, New Orleans, Louisiana, USA.

Journal of Computational Biology : a Journal of Computational Molecular Cell Biology
|June 14, 2008
PubMed
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We developed a novel feedback algorithm for protein structure alignment that improves global alignment using a self-improving learning strategy. This method outperforms existing tools like CE, Dali, and SSM in aligning more positions with comparable or lower root-mean-square deviation (RMSD).

Area of Science:

  • Computational Biology
  • Structural Bioinformatics
  • Algorithm Development

Background:

  • Accurate protein structure alignment is crucial for understanding protein function and evolution.
  • Existing methods may not always achieve optimal global alignment or maximize the number of aligned residues.

Purpose of the Study:

  • To develop and evaluate a novel feedback algorithm for enhanced protein backbone alignment.
  • To compare the performance of the new algorithm against established protein alignment tools.

Main Methods:

  • A phased feedback algorithm was designed, where the output of each alignment phase serves as input for the next.
  • A web portal was created for free access to the developed protein structure alignment method.
  • The algorithm's performance was benchmarked against CE, Dali, and SSM using hundreds of test cases.

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Main Results:

  • The developed algorithm consistently produced a higher number of aligned positions compared to CE, Dali, and SSM, especially when the C(alpha) RMSD was comparable.
  • In scenarios with similar or greater numbers of aligned positions, the feedback algorithm achieved a lower C(alpha) RMSD than the compared methods.
  • The self-improving learning strategy demonstrated effectiveness in refining global protein backbone alignments.

Conclusions:

  • The novel feedback algorithm offers superior performance in protein structure alignment, identifying more homologous positions.
  • The method's ability to achieve better RMSD values alongside increased alignment length signifies an advancement in the field.
  • The freely available web portal facilitates broader adoption and application of this improved alignment technique.