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Implicit Surfaces for Interactive Graph Based Cavity Analysis of Molecular Simulations

J. Parulek, C. Turkay, N. Reuter, and I. Viola

Abstract

Molecular surfaces provide a suitable way to analyze and to study the evolution and interaction of molecules. The analysis is often concerned with visual identification of binding sites of ligands to a host macromolecule. We present a novel technique that is based on implicit representation, which extracts all potential binding sites and allows an advanced 3D visualization of these sites in the con- text of the molecule. We utilize implicit function sampling strategy to obtain potential cavity samples and graph algorithms to extract arbitrary cavity components defined by simple graphs. Moreover, we propose how to interactively visualize these graphs in the con- text of the molecular surface. We also introduce a system of linked views depicting various graph parameters that are used to perform a more elaborative study on created graphs.

J. Parulek, C. Turkay, N. Reuter, and I. Viola, "Implicit Surfaces for Interactive Graph Based Cavity Analysis of Molecular Simulations," in 2nd IEEE Symposium on Biological Data Visualization, 2012.
[BibTeX]

Molecular surfaces provide a suitable way to analyze and to study the evolution and interaction of molecules. The analysis is often concerned with visual identification of binding sites of ligands to a host macromolecule. We present a novel technique that is based on implicit representation, which extracts all potential binding sites and allows an advanced 3D visualization of these sites in the con- text of the molecule. We utilize implicit function sampling strategy to obtain potential cavity samples and graph algorithms to extract arbitrary cavity components defined by simple graphs. Moreover, we propose how to interactively visualize these graphs in the con- text of the molecular surface. We also introduce a system of linked views depicting various graph parameters that are used to perform a more elaborative study on created graphs.
@INPROCEEDINGS {Parulek12Implicit,
author = "Julius Parulek and Cagatay Turkay and Natalie Reuter and Ivan Viola",
title = "Implicit Surfaces for Interactive Graph Based Cavity Analysis of Molecular Simulations",
booktitle = "2nd IEEE Symposium on Biological Data Visualization",
year = "2012",
series = "BioVis 2012",
abstract = "Molecular surfaces provide a suitable way to analyze and to study the evolution and interaction of molecules. The analysis is often concerned with visual identification of binding sites of ligands to a host macromolecule. We present a novel technique that is based on implicit representation, which extracts all potential binding sites and allows an advanced 3D visualization of these sites in the con- text of the molecule. We utilize implicit function sampling strategy to obtain potential cavity samples and graph algorithms to extract arbitrary cavity components defined by simple graphs. Moreover, we propose how to interactively visualize these graphs in the con- text of the molecular surface. We also introduce a system of linked views depicting various graph parameters that are used to perform a more elaborative study on created graphs.",
pdf = "pdfs/Parulek12Implicit.pdf",
images = "images/Parulek12Implicit01.png, images/Parulek12Implicit02.png",
thumbnails = "images/Parulek12Implicit01_thumb.png, images/Parulek12Implicit02_thumb.png",
location = "Seattle (WA), US",
project = "physioillustration"
}
projectidphysioillustrationprojectid

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