• DocumentCode
    2687998
  • Title

    Protein Structure Alignment: Is There Room for Improvement?

  • Author

    Arriagada, Mauricio ; Poleksic, Aleksandar

  • Author_Institution
    Dept. of Comput. Sci., Univ. of Tarapaca, Arica, Chile
  • fYear
    2012
  • fDate
    4-6 July 2012
  • Firstpage
    597
  • Lastpage
    602
  • Abstract
    Recent years have seen rapid development of methods for approximate and optimal solutions to the protein structure alignment problem. Albeit slow, these methods can be extremely useful in assessing the accuracy of more efficient, heuristic algorithms. We utilize a recently developed approximation algorithm for protein structure matching to demonstrate that a deep search of the protein superposition space leads to increased alignment accuracy with respect to many well established measures of alignment quality. The results of our study suggest that a large and important part of the protein superposition space remains unexplored by current techniques for protein structure alignment.
  • Keywords
    approximation theory; biological techniques; biology computing; molecular biophysics; molecular configurations; proteins; alignment quality; approximation algorithm; heuristic algorithms; protein structure alignment; protein structure matching; protein superposition space; Accuracy; Algorithm design and analysis; Approximation algorithms; Approximation methods; Benchmark testing; Proteins; Silicon; alignment algorithms; protein structure; structural alignment; structure comparison;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Complex, Intelligent and Software Intensive Systems (CISIS), 2012 Sixth International Conference on
  • Conference_Location
    Palermo
  • Print_ISBN
    978-1-4673-1233-2
  • Type

    conf

  • DOI
    10.1109/CISIS.2012.12
  • Filename
    6245634