Using shape to visualize multivariate data
Proceedings of the 1999 workshop on new paradigms in information visualization and manipulation in conjunction with the eighth ACM internation conference on Information and knowledge management
Visualizing dynamic molecular conformations
Proceedings of the conference on Visualization '02
Interactive Visualization of High Dimensional Marketing Data in the Financial Industry
IV '05 Proceedings of the Ninth International Conference on Information Visualisation
Some techniques for shading machine renderings of solids
AFIPS '68 (Spring) Proceedings of the April 30--May 2, 1968, spring joint computer conference
Principal Manifolds for Data Visualization and Dimension Reduction
Principal Manifolds for Data Visualization and Dimension Reduction
Immersive molecular visualization and interactive modeling with commodity hardware
ISVC'10 Proceedings of the 6th international conference on Advances in visual computing - Volume Part II
Static correlation visualization for large time-varying volume data
PACIFICVIS '11 Proceedings of the 2011 IEEE Pacific Visualization Symposium
Voronoi-Based Extraction and Visualization of Molecular Paths
IEEE Transactions on Visualization and Computer Graphics
Automated Illustration of Molecular Flexibility
IEEE Transactions on Visualization and Computer Graphics
Implicit representation of molecular surfaces
PACIFICVIS '12 Proceedings of the 2012 IEEE Pacific Visualization Symposium
Illustrative molecular visualization with continuous abstraction
EuroVis'11 Proceedings of the 13th Eurographics / IEEE - VGTC conference on Visualization
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In macromolecules, an allosteric effect is said to occur when a change at one site of a molecule affects a distant site. Understanding these allosteric effects can be important for understanding how the functions of complex molecules such as proteins are regulated. One potential application of this knowledge is the development of small molecules that alter the function of proteins involved in diseases. Studying motional correlation can help researchers to discover how a change at a source site affects the target site and thus how allosteric ligands that could serve as drugs are able to exert their therapeutic effects. By improving our ability to analyze these correlated relationships, it may be possible to develop new medications to combat deadly diseases such as Hepatitis C. We present four visual techniques which represent motional correlation on rendered three-dimensional molecular models, providing new ways to view clusters of correlated residues and paths of allosteric interactions. These techniques give us a new way of investigating the presence of motional correlations in complex molecules. We compare each of these techniques to determine which are the most useful for representing motional correlations.