• DocumentCode
    2463607
  • Title

    Determining RNA Secondary Structure using Set-based Particle Swarm Optimization

  • Author

    Neethling, Marais ; Engelbrecht, A.P.

  • Author_Institution
    Univ. of Pretoria, Pretoria
  • fYear
    0
  • fDate
    0-0 0
  • Firstpage
    1670
  • Lastpage
    1677
  • Abstract
    Determining RNA secondary structure computationally, rather than manually, has the advantage of being cheaper and quicker. This paper introduces a new set-based particle swarm optimization algorithm to optimize the structure of an RNA molecule, using an advanced thermodynamic model. Results show that it is possible to use this SetPSO algorithm to optimise RNA secondary structure and produce candidate RNA conformations.
  • Keywords
    biology computing; macromolecules; particle swarm optimisation; set theory; RNA conformations; RNA molecule; RNA secondary structure; set-based particle swarm optimization algorithm; thermodynamic model; Africa; Computer science; DNA; Genetic algorithms; Genetic mutations; Hydrogen; Particle swarm optimization; RNA; Spectroscopy; Thermodynamics;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Evolutionary Computation, 2006. CEC 2006. IEEE Congress on
  • Conference_Location
    Vancouver, BC
  • Print_ISBN
    0-7803-9487-9
  • Type

    conf

  • DOI
    10.1109/CEC.2006.1688509
  • Filename
    1688509
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2463607