• DocumentCode
    1278526
  • Title

    Visualizing and identifying conformational ensembles in molecular dynamics trajectories

  • Author

    Best, Christoph ; Hege, Hans-Christian

  • Volume
    4
  • Issue
    3
  • fYear
    2002
  • Firstpage
    68
  • Lastpage
    75
  • Abstract
    Using a conformational distance measure based on the changes in intramolecular atom distances, the authors show that a planar map can help visualize molecular dynamics trajectories efficiently such that conformational ensembles appear as well-separated point sets. The cluster analysis can then be used to automatically identify conformations
  • Keywords
    biochemistry; data visualisation; digital simulation; molecular configurations; natural sciences computing; pattern clustering; Monte Carlo simulations; biomolecules; cluster analysis; conformational ensembles; data visualisation; digital simulations; feature vector; intramolecular atom distances; molecular dynamics trajectories; molecular simulations; Atomic measurements; Computational modeling; Computer simulation; Drugs; Geometry; Information analysis; Molecular biophysics; Shape measurement; Trajectory; Visualization;
  • fLanguage
    English
  • Journal_Title
    Computing in Science & Engineering
  • Publisher
    ieee
  • ISSN
    1521-9615
  • Type

    jour

  • DOI
    10.1109/5992.998642
  • Filename
    998642