Literature DB >> 17968117

Two-level approach to efficient visualization of protein dynamics.

Ove Daae Lampe1, Ivan Viola, Nathalie Reuter, Helwig Hauser.   

Abstract

Proteins are highly flexible and large amplitude deformations of their structure, also called slow dynamics, are often decisive to their function. We present a two-level rendering approach that enables visualization of slow dynamics of large protein assemblies. Our approach is aligned with a hierarchical model of large scale molecules. Instead of constantly updating positions of large amounts of atoms, we update the position and rotation of residues, i.e., higher level building blocks of a protein. Residues are represented by one vertex only indicating its position and additional information defining the rotation. The atoms in the residues are generated on-the-fly on the GPU, exploiting the new graphics hardware geometry shader capabilities. Moreover, we represent the atoms by billboards instead of tessellated spheres. Our representation is then significantly faster and pixel precise. We demonstrate the usefulness of our new approach in the context of our collaborative bioinformatics project.

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Year:  2007        PMID: 17968117     DOI: 10.1109/TVCG.2007.70517

Source DB:  PubMed          Journal:  IEEE Trans Vis Comput Graph        ISSN: 1077-2626            Impact factor:   4.579


  3 in total

1.  cellVIEW: a Tool for Illustrative and Multi-Scale Rendering of Large Biomolecular Datasets.

Authors:  Mathieu Le Muzic; Ludovic Autin; Julius Parulek; Ivan Viola
Journal:  Eurographics Workshop Vis Comput Biomed       Date:  2015

2.  Chameleon: Dynamic Color Mapping for Multi-Scale Structural Biology Models.

Authors:  Nicholas Waldin; Mathieu Le Muzic; Manuela Waldner; Eduard Gröller; David Goodsell; Autin Ludovic; Ivan Viola
Journal:  Eurographics Workshop Vis Comput Biomed       Date:  2016-09

3.  Ellipsoidal Abstract and Illustrative Representations of Molecular Surfaces.

Authors:  Meng Liang; Yuhang Fu; Ruibo Gao; Qiaoqiao Wang; Junlan Nie
Journal:  Int J Mol Sci       Date:  2019-10-17       Impact factor: 5.923

  3 in total

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