Artificial Intelligence in Medicine
Volume 35, Issue 1 , Pages 135-145, September 2005

Application of tabu search strategy for finding low energy structure of protein

  • Jacek Błażewicz

      Affiliations

    • Institute of Computing Science, Poznań University of Technology, Piotrowo 3a, 60-965 Poznań, Poland
    • Institute of Bioorganic Chemistry, Polish Academy of Science, Noskowskiego 12, 61-704 Poznań, Poland
  • ,
  • Piotr Łukasiak

      Affiliations

    • Institute of Computing Science, Poznań University of Technology, Piotrowo 3a, 60-965 Poznań, Poland
    • Institute of Bioorganic Chemistry, Polish Academy of Science, Noskowskiego 12, 61-704 Poznań, Poland
  • ,
  • Maciej Miłostan

      Affiliations

    • Institute of Computing Science, Poznań University of Technology, Piotrowo 3a, 60-965 Poznań, Poland
    • Corresponding Author InformationCorresponding author. Tel.: +48 61 665 2826; fax: +48 61 877 1525.

Received 18 November 2004; received in revised form 24 January 2005; accepted 22 February 2005.

Summary 

Objective:

Understanding protein functionality would mean understanding the basics of life. This functionality follows a three-dimensional structure of proteins. Unfortunately till now it is not possible to obtain these structures artificially. This article offers a survey on the use of meta-heuristic methods in context of simplified models of protein folding.

Methods:

Tabu search (TS) strategy is one of the most successful meta-heuristics that has been applied for large number of optimization problems. In the paper, the application of TS for finding low energy conformations of proteins in a simplified lattice model has been proposed.

Results:

The algorithm has been extensively tested and the tests showed its good performance. It compares well with the other heuristic approaches.

Conclusions:

The approach presented is competitive as compared with other methods and due to its low computation time can be used as a complementary tool for an analysis of the three-dimensional protein structures.

Keywords: Tabu search, Meta-heuristic, Hydrophobic–hydrophilic lattice model, Protein structure prediction

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PII: S0933-3657(05)00050-3

doi:10.1016/j.artmed.2005.02.001

Artificial Intelligence in Medicine
Volume 35, Issue 1 , Pages 135-145, September 2005