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Frontiers in biomolecular mesh generation and molecular visualization systems
Sheng Gui1,2, Dawar Khan3,4, Qin Wang5,4
1LSEC, NCMIS, Academy of Mathematics and Systems Science, Chinese Academy of Sciences, Beijing, 100190, China. shenggui@lsec.cc.ac.cn.
Visual Computing for Industry, Biomedicine, and Art
|April 3, 2020
Summary
This review covers biomolecular mesh generation and visualization, focusing on improving software for molecular modeling and simulation. Enhanced mesh quality is crucial for accurate biomolecular simulations and numerical methods.
Area of Science:
- Computational Biology and Biophysics
- Molecular Modeling and Simulation
- Computer Graphics
Background:
- Advancements in biomolecular modeling and simulation, particularly implicit solvent modeling, necessitate improved software for molecular mesh generation.
- The stability, efficiency, and mesh quality of molecular mesh generation software are critical for advanced computational studies.
Purpose of the Study:
- To review recent developments in biomolecular mesh generation and molecular visualization techniques.
- To highlight the importance of mesh quality for biomolecular simulations and numerical methods.
Main Methods:
- Exploration of various definitions of molecular surfaces and associated meshing software.
- Investigation of remeshing methods from computer graphics and molecular modeling to enhance mesh quality.
- Demonstration of biomolecular mesh application in boundary element method (BEM) and finite element method (FEM).
Main Results:
- A comprehensive overview of current biomolecular mesh generation techniques and their challenges.
- Analysis of how mesh quality impacts the accuracy and efficiency of biomolecular simulations.
- Introduction to two types of molecular visualization systems for presenting numerical results.
Conclusions:
- High-quality biomolecular meshes are essential for reliable molecular modeling and simulation.
- Remeshing techniques can significantly improve mesh quality for computational applications.
- Integrated visualization systems are key for interpreting simulation outcomes based on generated meshes.
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