• DocumentCode
    262059
  • Title

    Central Dogma of Molecular Biology - New Paradigm in Evolutionary Computation

  • Author

    Rotar, Corina

  • Author_Institution
    Comput. Sci. Dept., “1 Decembrie 1918” Univ., Alba Iulia, Romania
  • fYear
    2014
  • fDate
    22-25 Sept. 2014
  • Firstpage
    285
  • Lastpage
    292
  • Abstract
    The aim of this study is to develop a new evolutionary computation paradigm in terms of molecular biology. Standard genetic algorithms are heuristics inspired by the simplified model of natural evolution and genetics. The latest discoveries and innovations from molecular biology, related to the conventional central dogma of molecular biology, generate the necessity of updating the genetic algorithms, although successfully applied in various complex tasks. In this direction, the research in Evolutionary Computation requires a reconsideration of the concepts and theories underlying the development of these popular optimization techniques. Since the emergence of the new features is important in the evolution, the DNA code requires progress. Evolutionary Computation which is based on the mutation and the natural selection can be reconsidered in terms of protein synthesis and reverse transcription. From the computational perspective, a biological phenomenon might be interpreted in various forms in order to obtain reliable computational techniques.
  • Keywords
    DNA; RNA; bioinformatics; genetic algorithms; molecular biophysics; proteins; DNA code; biological phenomenon; central dogma; complex tasks; computational perspective; computational techniques; evolutionary computation paradigm; heuristics; molecular biology; mutation; natural selection; protein synthesis; reverse transcription; simplified genetic model; simplified natural evolution model; standard genetic algorithm update; DNA; Evolution (biology); Optimization; Proteins; RNA; central dogma of biology; evolutionary computation paradigm; optimization; protein synthesis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Symbolic and Numeric Algorithms for Scientific Computing (SYNASC), 2014 16th International Symposium on
  • Conference_Location
    Timisoara
  • Print_ISBN
    978-1-4799-8447-3
  • Type

    conf

  • DOI
    10.1109/SYNASC.2014.46
  • Filename
    7034696