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Ellipsoidal Abstract and Illustrative Representations of Molecular Surfaces

Molecular visualization is often challenged with rendering of large molecular structures in real time. The key to LOD (level-of-detail), a classical technology, lies in designing a series of hierarchical abstractions of protein. In the paper, we improved the smoothness of transition for these abstra...

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Detalles Bibliográficos
Autores principales: Liang, Meng, Fu, Yuhang, Gao, Ruibo, Wang, Qiaoqiao, Nie, Junlan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6834147/
https://www.ncbi.nlm.nih.gov/pubmed/31627445
http://dx.doi.org/10.3390/ijms20205158
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author Liang, Meng
Fu, Yuhang
Gao, Ruibo
Wang, Qiaoqiao
Nie, Junlan
author_facet Liang, Meng
Fu, Yuhang
Gao, Ruibo
Wang, Qiaoqiao
Nie, Junlan
author_sort Liang, Meng
collection PubMed
description Molecular visualization is often challenged with rendering of large molecular structures in real time. The key to LOD (level-of-detail), a classical technology, lies in designing a series of hierarchical abstractions of protein. In the paper, we improved the smoothness of transition for these abstractions by constructing a complete binary tree of a protein. In order to reduce the degree of expansion of the geometric model corresponding to the high level of abstraction, we introduced minimum ellipsoidal enveloping and some post-processing techniques. At the same time, a simple, ellipsoid drawing method based on graphics processing unit (GPU) is used that can guarantee that the drawing speed is not lower than the existing sphere-drawing method. Finally, we evaluated the rendering performance and effect on series of molecules with different scales. The post-processing techniques applied, diffuse shading and contours, further conceal the expansion problem and highlight the surface details.
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spelling pubmed-68341472019-11-25 Ellipsoidal Abstract and Illustrative Representations of Molecular Surfaces Liang, Meng Fu, Yuhang Gao, Ruibo Wang, Qiaoqiao Nie, Junlan Int J Mol Sci Article Molecular visualization is often challenged with rendering of large molecular structures in real time. The key to LOD (level-of-detail), a classical technology, lies in designing a series of hierarchical abstractions of protein. In the paper, we improved the smoothness of transition for these abstractions by constructing a complete binary tree of a protein. In order to reduce the degree of expansion of the geometric model corresponding to the high level of abstraction, we introduced minimum ellipsoidal enveloping and some post-processing techniques. At the same time, a simple, ellipsoid drawing method based on graphics processing unit (GPU) is used that can guarantee that the drawing speed is not lower than the existing sphere-drawing method. Finally, we evaluated the rendering performance and effect on series of molecules with different scales. The post-processing techniques applied, diffuse shading and contours, further conceal the expansion problem and highlight the surface details. MDPI 2019-10-17 /pmc/articles/PMC6834147/ /pubmed/31627445 http://dx.doi.org/10.3390/ijms20205158 Text en © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Liang, Meng
Fu, Yuhang
Gao, Ruibo
Wang, Qiaoqiao
Nie, Junlan
Ellipsoidal Abstract and Illustrative Representations of Molecular Surfaces
title Ellipsoidal Abstract and Illustrative Representations of Molecular Surfaces
title_full Ellipsoidal Abstract and Illustrative Representations of Molecular Surfaces
title_fullStr Ellipsoidal Abstract and Illustrative Representations of Molecular Surfaces
title_full_unstemmed Ellipsoidal Abstract and Illustrative Representations of Molecular Surfaces
title_short Ellipsoidal Abstract and Illustrative Representations of Molecular Surfaces
title_sort ellipsoidal abstract and illustrative representations of molecular surfaces
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6834147/
https://www.ncbi.nlm.nih.gov/pubmed/31627445
http://dx.doi.org/10.3390/ijms20205158
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AT wangqiaoqiao ellipsoidalabstractandillustrativerepresentationsofmolecularsurfaces
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