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 :
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