• DocumentCode
    1857133
  • Title

    Computational methods for analysis of terahertz spectral signatures of nucleic acids

  • Author

    Li, Xiaowei ; Bykhovski, Alexei ; Gelmont, Boris ; Globus, Tatiana ; Woolard, Dwight ; Bykhovskaia, Maria

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Virginia Univ., USA
  • fYear
    2005
  • fDate
    11-15 July 2005
  • Firstpage
    221
  • Abstract
    Motivated by the terahertz application to spectroscopic sensing of genetic and related materials, this paper focuses on the calculation of the absorption spectra of of poly(rG)-poly(rC) and poly(dA)-poly(dT) in the range 2-300 cm-1. The potential energy of nucleic acids is minimized and the normal mode analysis is performed using AMBER 8 package. The calculated absorption spectra are compared to the previous modeling results using JUMNA & LIGAND package and to the experimental data. The position of the strongest RNA resonance peak from both programs agrees with that experimentally observed. The AMBER-based polarization results fit the experimental data reasonably well.
  • Keywords
    biological techniques; biology computing; macromolecules; molecular biophysics; potential energy functions; submillimetre wave spectra; 2 to 300 cm-1; AMBER 8 package; AMBER-based polarization; JUMNA package; LIGAND package; RNA resonance peak; absorption spectra; biomolecular sensing; computational methods; genetic materials; normal mode analysis; nucleic acids; potential energy; spectroscopic sensing; terahertz application; terahertz spectral signatures; Absorption; Genetics; Packaging; Performance analysis; Polarization; Potential energy; RNA; Resonance; Spectral analysis; Spectroscopy;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Nanotechnology, 2005. 5th IEEE Conference on
  • Print_ISBN
    0-7803-9199-3
  • Type

    conf

  • DOI
    10.1109/NANO.2005.1500734
  • Filename
    1500734