Abstract
Molecular surface mesh generation is a prerequisite for using the boundary element method (BEM) and finite element method (FEM) in implicit-solvent modeling. Molecular surface meshes typically have small angles, redundant vertices, and low-quality elements. In the implicit-solvent modeling of biomolecular systems it is usually required to improve the mesh quality and eliminate low-quality elements. Existing methods often fail to efficiently remove low-quality elements, especially in complex molecular meshes. In this paper, we propose a mesh refinement method that smooths the meshes, eliminates invalid regions in a cut-and-fill strategy, and improves the minimal angle. We compared our method with four different state-of-the-art methods and found that our method showed a significant improvement over state-of-the-art methods in minimal angle, aspect ratio, and other meshing quality measurements. In addition, our method showed satisfactory results in terms of the ratio of regular vertices and the preservation of area and volume.
Highlights
Surface meshes are typically used in modeling, animation, numerical simulation, and many other applications
We remeshed two molecular surface meshes using the real-time adaptive remeshing (RAR) method. The purpose of this simple experiment was to examine the applicability of the RAR method in molecular remeshing
To the best of our knowledge, the RAR method has no history in molecular remeshing
Summary
Surface meshes are typically used in modeling, animation, numerical simulation, and many other applications. Molecular surface meshes play a vital role in the study of evolution and interaction of molecules and in measuring their areas and volumes [1,2] These meshes are used in various fields of computational biology, such as protein folding, structure prediction, docking and implicit-solvent modeling. TMSmesh can handle a number of tasks, such as overlapping, gap filling, and seed selection, that need to be considered in traditional continuation methods It succeeds in surface mesh generation for biomolecules containing more than one million atoms. The results reveal that our method preserves the volume and area of the input mesh, and has a solvation energy similar to SMOPT, removes redundant vertices, and eliminates small angles (i.e.,
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