• DocumentCode
    3396158
  • Title

    Problems in using FFT versus DFT in the resonant recognition model

  • Author

    Cosic, Irena ; Fang, Qiang

  • Author_Institution
    Dept. of Electr. & Comput. Syst. Eng., Monash Univ., Clayton, Vic., Australia
  • Volume
    2
  • fYear
    1995
  • fDate
    20-23 Sep 1995
  • Firstpage
    1017
  • Abstract
    Proteins are linear macromolecules built up of sequentially linked amino acids. Both protein function and their active 3D structure are determined by the sequence of amino acids. Although a lot of protein sequences and their functions and structures are already known the critical problem of how functional information is written within the sequence still remains. The RRM analyses these linear sequences transforming them into the frequency domain using Fourier Transform. Although FFT was generally used, problems were found, in some cases. Here, the authors compare and discuss results obtained using FFT and DFT for the same groups of proteins
  • Keywords
    discrete Fourier transforms; fast Fourier transforms; molecular biophysics; physiological models; proteins; active 3D structure; amino acids sequence; electron-ion interaction potential; frequency domain; linear macromolecules; linear sequences; numerical series; protein function; resonant recognition model; signal analysis methods; Amino acids; Discrete Fourier transforms; Electrons; Frequency; Protein engineering; Resonance; Sequences; Signal analysis; Systems engineering and theory; Tin;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society, 1995., IEEE 17th Annual Conference
  • Conference_Location
    Montreal, Que.
  • Print_ISBN
    0-7803-2475-7
  • Type

    conf

  • DOI
    10.1109/IEMBS.1995.579440
  • Filename
    579440