@article{LindowBaumHege2014, author = {Lindow, Norbert and Baum, Daniel and Hege, Hans-Christian}, title = {Ligand Excluded Surface: A New Type of Molecular Surface}, series = {IEEE Transactions on Visualization and Computer Graphics}, volume = {20}, journal = {IEEE Transactions on Visualization and Computer Graphics}, number = {12}, doi = {10.1109/TVCG.2014.2346404}, pages = {2486 -- 2495}, year = {2014}, abstract = {The most popular molecular surface in molecular visualization is the solvent excluded surface (SES). It provides information about the accessibility of a biomolecule for a solvent molecule that is geometrically approximated by a sphere. During a period of almost four decades, the SES has served for many purposes - including visualization, analysis of molecular interactions and the study of cavities in molecular structures. However, if one is interested in the surface that is accessible to a molecule whose shape differs significantly from a sphere, a different concept is necessary. To address this problem, we generalize the definition of the SES by replacing the probe sphere with the full geometry of the ligand defined by the arrangement of its van der Waals spheres. We call the new surface ligand excluded surface (LES) and present an efficient, grid-based algorithm for its computation. Furthermore, we show that this algorithm can also be used to compute molecular cavities that could host the ligand molecule. We provide a detailed description of its implementation on CPU and GPU. Furthermore, we present a performance and convergence analysis and compare the LES for several molecules, using as ligands either water or small organic molecules.}, language = {en} } @inproceedings{LindowBaumBondaretal.2012, author = {Lindow, Norbert and Baum, Daniel and Bondar, Ana-Nicoleta and Hege, Hans-Christian}, title = {Dynamic Channels in Biomolecular Systems: Path Analysis and Visualization}, series = {Proceedings of IEEE Symposium on Biological Data Visualization (biovis'12)}, booktitle = {Proceedings of IEEE Symposium on Biological Data Visualization (biovis'12)}, doi = {10.1109/BioVis.2012.6378599}, pages = {99 -- 106}, year = {2012}, language = {en} } @inproceedings{KuhnLindowGuentheretal.2013, author = {Kuhn, Alexander and Lindow, Norbert and G{\"u}nther, Tobias and Wiebel, Alexander and Theisel, Holger and Hege, Hans-Christian}, title = {Trajectory Density Projection for Vector Field Visualization}, series = {EuroVis 2013, short papers. M. Hlawitschka, Tino Weinkauf (eds.)}, booktitle = {EuroVis 2013, short papers. M. Hlawitschka, Tino Weinkauf (eds.)}, doi = {10.2312/PE.EuroVisShort.EuroVisShort2013.031-035}, pages = {31 -- 35}, year = {2013}, language = {en} } @article{LindowBaumHege2011, author = {Lindow, Norbert and Baum, Daniel and Hege, Hans-Christian}, title = {Voronoi-Based Extraction and Visualization of Molecular Paths}, series = {IEEE Transactions on Visualization and Computer Graphics}, volume = {17}, journal = {IEEE Transactions on Visualization and Computer Graphics}, number = {12}, doi = {10.1109/TVCG.2011.259}, pages = {2025 -- 2034}, year = {2011}, language = {en} } @article{LindowBaumProhaskaetal.2010, author = {Lindow, Norbert and Baum, Daniel and Prohaska, Steffen and Hege, Hans-Christian}, title = {Accelerated Visualization of Dynamic Molecular Surfaces}, series = {Comput. Graph. Forum}, volume = {29}, journal = {Comput. Graph. Forum}, doi = {10.1111/j.1467-8659.2009.01693.x}, pages = {943 -- 952}, year = {2010}, language = {en} } @article{LindowBaumBondaretal.2013, author = {Lindow, Norbert and Baum, Daniel and Bondar, Ana-Nicoleta and Hege, Hans-Christian}, title = {Exploring cavity dynamics in biomolecular systems}, series = {BMC Bioinformatics}, volume = {14}, journal = {BMC Bioinformatics}, edition = {(Suppl 19):S5}, doi = {10.1186/1471-2105-14-S19-S5}, year = {2013}, language = {en} } @article{BaumLindowHegeetal.2017, author = {Baum, Daniel and Lindow, Norbert and Hege, Hans-Christian and Lepper, Verena and Siopi, Tzulia and Kutz, Frank and Mahlow, Kristin and Mahnke, Heinz-Eberhard}, title = {Revealing hidden text in rolled and folded papyri}, series = {Applied Physics A}, volume = {123}, journal = {Applied Physics A}, number = {3}, doi = {10.1007/s00339-017-0808-6}, pages = {171}, year = {2017}, abstract = {Ancient Egyptian papyri are often folded, rolled up or kept as small packages, sometimes even sealed. Physically unrolling or unfolding these packages might severely damage them. We demonstrate a way to get access to the hidden script without physical unfolding by employing computed tomography and mathematical algorithms for virtual unrolling and unfolding. Our algorithmic approaches are combined with manual interaction. This provides the necessary flexibility to enable the unfolding of even complicated and partly damaged papyrus packages. In addition, it allows us to cope with challenges posed by the structure of ancient papyrus, which is rather irregular, compared to other writing substrates like metallic foils or parchment. Unfolding of packages is done in two stages. In the first stage, we virtually invert the physical folding process step by step until the partially unfolded package is topologically equivalent to a scroll or a papyrus sheet folded only along one fold line. To minimize distortions at this stage, we apply the method of moving least squares. In the second stage, the papyrus is simply flattened, which requires the definition of a medial surface. We have applied our software framework to several papyri. In this work, we present the results of applying our approaches to mockup papyri that were either rolled or folded along perpendicular fold lines. In the case of the folded papyrus, our approach represents the first attempt to address the unfolding of such complicated folds.}, language = {en} } @article{KozlikovaKroneFalketal., author = {Kozl{\´i}kov{\´a}, Barbora and Krone, Michael and Falk, Martin and Lindow, Norbert and Baaden, Marc and Baum, Daniel and Viola, Ivan and Parulek, Julius and Hege, Hans-Christian}, title = {Visualization of Biomolecular Structures: State of the Art Revisited}, series = {Computer Graphics Forum}, volume = {36}, journal = {Computer Graphics Forum}, number = {8}, doi = {10.1111/cgf.13072}, pages = {178 -- 204}, abstract = {Structural properties of molecules are of primary concern in many fields. This report provides a comprehensive overview on techniques that have been developed in the fields of molecular graphics and visualization with a focus on applications in structural biology. The field heavily relies on computerized geometric and visual representations of three-dimensional, complex, large and time-varying molecular structures. The report presents a taxonomy that demonstrates which areas of molecular visualization have already been extensively investigated and where the field is currently heading. It discusses visualizations for molecular structures, strategies for efficient display regarding image quality and frame rate, covers different aspects of level of detail and reviews visualizations illustrating the dynamic aspects of molecular simulation data. The survey concludes with an outlook on promising and important research topics to foster further success in the development of tools that help to reveal molecular secrets.}, language = {en} } @article{KroneKozlikovaLindowetal.2016, author = {Krone, Michael and Kozl{\´i}kov{\´a}, Barbora and Lindow, Norbert and Baaden, Marc and Baum, Daniel and Parulek, Julius and Hege, Hans-Christian and Viola, Ivan}, title = {Visual Analysis of Biomolecular Cavities: State of the Art}, series = {Computer Graphics Forum}, volume = {35}, journal = {Computer Graphics Forum}, number = {3}, issn = {1467-8659}, doi = {10.1111/cgf.12928}, pages = {527 -- 551}, year = {2016}, abstract = {In this report we review and structure the branch of molecular visualization that is concerned with the visual analysis of cavities in macromolecular protein structures. First the necessary background, the domain terminology, and the goals of analytical reasoning are introduced. Based on a comprehensive collection of relevant research works, we present a novel classification for cavity detection approaches and structure them into four distinct classes: grid-based, Voronoi-based, surface-based, and probe-based methods. The subclasses are then formed by their combinations. We match these approaches with corresponding visualization technologies starting with direct 3D visualization, followed with non-spatial visualization techniques that for example abstract the interactions between structures into a relational graph, straighten the cavity of interest to see its profile in one view, or aggregate the time sequence into a single contour plot. We also discuss the current state of methods for the visual analysis of cavities in dynamic data such as molecular dynamics simulations. Finally, we give an overview of the most common tools that are actively developed and used in the structural biology and biochemistry research. Our report is concluded by an outlook on future challenges in the field.}, language = {en} } @article{LindowBaumHege2012, author = {Lindow, Norbert and Baum, Daniel and Hege, Hans-Christian}, title = {Perceptually Linear Parameter Variations}, series = {Computer Graphics Forum}, volume = {31}, journal = {Computer Graphics Forum}, number = {2}, doi = {10.1111/j.1467-8659.2012.03054.x target}, pages = {535 -- 544}, year = {2012}, language = {en} }