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
Link To Document