• DocumentCode
    2528222
  • Title

    Integration of RNA search methods for identifying novel riboswitch patterns in eukaryotes

  • Author

    Cohen, Adaya N. ; Kedem, Klara ; Shapira, Michal ; Barash, Danny

  • Author_Institution
    Dept. of Comput. Sci., Ben-Gurion Univ. of the Negev, Beer-Sheva, Israel
  • fYear
    2005
  • fDate
    8-11 Aug. 2005
  • Firstpage
    193
  • Lastpage
    194
  • Abstract
    Riboswitches are RNA genetic control elements that were recently discovered in living cells. To regulate gene expression, they utilize a unique mechanism whereby small molecules bind to the aptamer or box region causing a conformational switch, without the participation of proteins. Riboswitches were initially found in the 5´ UTR of bacteria, with successive discoveries in prokaryotes. Evidence for their existence in eukaryotes has prompted their scarce detection in that kingdom. Bioinformatics methods are needed in order to locate new riboswitch candidates. Several relevant search strategies have been developed and investigated, each having its own advantages and deficiencies. By-merging several of these methods and integrating them in a hierarchical manner, it is possible to develop a combined strategy that will successfully locate potential candidates for the purpose of experimental validation.
  • Keywords
    biology computing; cellular biophysics; genetics; macromolecules; microorganisms; molecular biophysics; organic compounds; RNA genetic control element; RNA search method; aptamer; bacteria; bioinformatics method; conformational switch; eukaryotes; gene expression regulation; molecule binding; riboswitch pattern; Biochemistry; Bioinformatics; Databases; Gene expression; Genomics; Hidden Markov models; Proteins; RNA; Search methods; Switches;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Systems Bioinformatics Conference, 2005. Workshops and Poster Abstracts. IEEE
  • Print_ISBN
    0-7695-2442-7
  • Type

    conf

  • DOI
    10.1109/CSBW.2005.78
  • Filename
    1540595