• DocumentCode
    3632201
  • Title

    Alignment of protein structure energy patterns represented as sequences of Fuzzy Numbers

  • Author

    Dariusz Mrozek;Bozena Malysiak-Mrozek;Stanislaw Kozielski

  • Author_Institution
    Institute of Informatics, Silesian University of Technology, Gliwice, Poland
  • fYear
    2009
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    The comparative analysis of structural and energy features of proteins can be a key to understand how proteins work and interact to each other in cellular reactions. Potential energy, which is a function of atomic positions in a protein structure, can be used to describe molecule´s abilities to interact with other biological molecules. Potential energy characteristics are supportive in searching similar, biologically important molecular regions that have similar functions in different organisms or organs. In the paper, we present the similarity searching method, which base on the alignment of energy patterns. In the alignment phase energy patterns are represented as sequences of fuzzy numbers. This increases the fault-tolerance of the alignment and ensures the approximate character of the method. The alignment of fuzzy sequences is one of the main steps in the new FN-EAST method (Fuzzy Numbers - Energy Alignment Search Tool). The FN-EAST allows to seek similar structural regions represented as energy patterns. The new alignment incorporated in the similarity searching eliminates some weaknesses of the FN-EAST predecessors.
  • Keywords
    "Proteins","Databases","Potential energy","Fault tolerance","Genetic mutations","Biochemistry","Amino acids","Sequences","Cells (biology)","Biology"
  • Publisher
    ieee
  • Conference_Titel
    Fuzzy Information Processing Society, 2009. NAFIPS 2009. Annual Meeting of the North American
  • Print_ISBN
    978-1-4244-4575-2
  • Type

    conf

  • DOI
    10.1109/NAFIPS.2009.5156391
  • Filename
    5156391