• DocumentCode
    573568
  • Title

    Protein structure prediction using bio-inspired algorithm: A review

  • Author

    Karami, Yasaman ; Khakzad, Hamed ; Arab, Shahriar ; Fathy, Mahmood ; Shirazi, Hossein

  • Author_Institution
    Comput. Eng. Dept., Iran Univ. of Sci. & Technol., Tehran, Iran
  • fYear
    2012
  • fDate
    2-3 May 2012
  • Firstpage
    201
  • Lastpage
    206
  • Abstract
    One of the main problems in Bioinformatics is the prediction of protein tertiary structure from its amino acid sequence. This problem is computationally complex and belongs to the NP-hard class. Although these years many algorithms and methods have been introduced, this problem is still an open area for research. In this paper we discuss the most important algorithms like evolutionary algorithms, particle swarm or ant colony optimization and computational methods introduced in this field and their challenges.
  • Keywords
    ant colony optimisation; bioinformatics; computational complexity; evolutionary computation; particle swarm optimisation; proteins; NP-hard problem; PSP problem; amino acid sequence; ant colony optimization; bio-inspired algorithm; bioinformatics; computational methods; evolutionary algorithms; particle swarm optimization; protein tertiary structure prediction; Amino acids; Computational modeling; Genetic algorithms; Lattices; Mathematical model; Prediction algorithms; Proteins; bio-computing; bio-inspired algorithm; evolutionary algorithm; protein tertiary structure prediction;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Artificial Intelligence and Signal Processing (AISP), 2012 16th CSI International Symposium on
  • Conference_Location
    Shiraz, Fars
  • Print_ISBN
    978-1-4673-1478-7
  • Type

    conf

  • DOI
    10.1109/AISP.2012.6313744
  • Filename
    6313744