• DocumentCode
    3229415
  • Title

    Techniques for enhancing computation of DNA curvature molecules

  • Author

    Masotti, Daniel ; Ficarra, Elisa ; Macii, Enrico ; Benini, Luca

  • Author_Institution
    Politecnico di Torino, Italy
  • fYear
    2004
  • fDate
    19-21 May 2004
  • Firstpage
    22
  • Lastpage
    29
  • Abstract
    An automated algorithm is presented to determine the DNA molecule intrinsic curvature profiles and the molecular spatial orientations in atomic force microscope images. The curvature is composed by static and dynamic contributions. The former is the intrinsic curvature, a function of the DNA nucleotide sequence, while the latter is due to thermal fluctuations. This algorithm allows to reconstruct the intrinsic curvature profile excluding the thermal contribution. The automated algorithm reconstructs the intrinsic curvature profile with a mean square error of 3.812· 10-4 rads over a profile with a central peak value of 0.196 rads, and 6.1·10-3 rads over a curvature profile with two symmetric peaks of about 0.08 rads. Moreover, it correctly detects the location of the peaks in the molecules with a deviation of about 1% of molecule length.
  • Keywords
    DNA; atomic force microscopy; biology computing; medical image processing; molecular biophysics; molecular configurations; DNA curvature molecules; DNA nucleotide sequence; atomic force microscope images; intrinsic curvature profile reconstruction; molecular spatial orientations; thermal fluctuations; Bioinformatics; Biomedical engineering; DNA computing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Bioinformatics and Bioengineering, 2004. BIBE 2004. Proceedings. Fourth IEEE Symposium on
  • Print_ISBN
    0-7695-2173-8
  • Type

    conf

  • DOI
    10.1109/BIBE.2004.1317321
  • Filename
    1317321