Frontiers in biomolecular mesh generation and molecular visualization systems
文献类型:期刊论文
作者 | Gui,Sheng1,3; Khan,Dawar2,3; Wang,Qin1,3; Yan,Dong-Ming2,3; Lu,Ben-Zhuo1,3![]() |
刊名 | Visual Computing for Industry, Biomedicine, and Art
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出版日期 | 2018-09-05 |
卷号 | 1期号:1 |
关键词 | Biomolecular mesh generation Remeshing BEM FEM Molecular visualization |
ISSN号 | 2524-4442 |
DOI | 10.1186/s42492-018-0007-0 |
英文摘要 | AbstractWith the development of biomolecular modeling and simulation, especially implicit solvent modeling, higher requirements are set for the stability, efficiency and mesh quality of molecular mesh generation software. In this review, we summarize the recent works in biomolecular mesh generation and molecular visualization. First, we introduce various definitions of molecular surface and corresponding meshing software. Second, as the mesh quality significantly influences biomolecular simulation, we investigate some remeshing methods in the fields of computer graphics and molecular modeling. Then, we show the application of biomolecular mesh in the boundary element method (BEM) and the finite element method (FEM). Finally, to conveniently visualize the numerical results based on the mesh, we present two types of molecular visualization systems. |
语种 | 英语 |
WOS记录号 | BMC:10.1186/S42492-018-0007-0 |
出版者 | Springer Singapore |
源URL | [http://ir.amss.ac.cn/handle/2S8OKBNM/30869] ![]() |
专题 | 计算数学与科学工程计算研究所 |
通讯作者 | Gui,Sheng |
作者单位 | 1. 2. 3. |
推荐引用方式 GB/T 7714 | Gui,Sheng,Khan,Dawar,Wang,Qin,et al. Frontiers in biomolecular mesh generation and molecular visualization systems[J]. Visual Computing for Industry, Biomedicine, and Art,2018,1(1). |
APA | Gui,Sheng,Khan,Dawar,Wang,Qin,Yan,Dong-Ming,&Lu,Ben-Zhuo.(2018).Frontiers in biomolecular mesh generation and molecular visualization systems.Visual Computing for Industry, Biomedicine, and Art,1(1). |
MLA | Gui,Sheng,et al."Frontiers in biomolecular mesh generation and molecular visualization systems".Visual Computing for Industry, Biomedicine, and Art 1.1(2018). |
入库方式: OAI收割
来源:数学与系统科学研究院
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