• DocumentCode
    2767570
  • Title

    An accurate and reliable method for automatic picking of HIV/SIV spikes

  • Author

    Mukherjee, Chaity B. ; Winkler, Hanspeter ; Liu, Xiuwen ; Dutta, Moumita ; Roux, Kenneth H. ; Taylor, Kenneth A.

  • Author_Institution
    Florida State Univ., Tallahassee, FL, USA
  • fYear
    2011
  • fDate
    12-15 Nov. 2011
  • Firstpage
    998
  • Lastpage
    1000
  • Abstract
    The HIV/SIV envelope spikes initiate infection in the host cells and hence understanding their structure is one of the primary focus areas of modern research in structural biology. The structures of the native envelope spikes are still unknown. A mutant form of SIV virions has 80 to 90 envelope spikes per virion; HIV virions possess only 8-9 spikes. Thus, any electron tomographic study of the spike structure becomes very tedious if spikes are selected by hand for further processing. Consequently automating the process of spike selection is very important for determining the spike structure in situ. To this end, we have developed a nearly automated procedure for spike selection based on a “segmentation by classification” philosophy.
  • Keywords
    cellular biophysics; diseases; microorganisms; HIV-SIV envelope spikes; automatic picking; electron tomography; host cells; native envelope spikes; primary focus areas; segmentation by classification philosophy; spike structure in situ; structural biology; Accuracy; Approximation methods; Data analysis; Human immunodeficiency virus; Redundancy; Shape; Tomography;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Bioinformatics and Biomedicine Workshops (BIBMW), 2011 IEEE International Conference on
  • Conference_Location
    Atlanta, GA
  • Print_ISBN
    978-1-4577-1612-6
  • Type

    conf

  • DOI
    10.1109/BIBMW.2011.6112536
  • Filename
    6112536