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β-shape Based Computation of Blending Surfaces on a Molecule

机译:基于β形的分子混合表面的计算

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It has been generally accepted that the structure of molecule is one of the most important factors which determine the functions of a molecule. Hence, studies have been conducted to analyze the structure of a molecule. Molecular surface is an important example of molecular structure. Given a molecular surface, the area and volume of the molecule can be computed to facilitate problems such as protein docking and folding. Therefore, it is important to compute a molecular surface precisely and efficiently. This paper presents an algorithm for correctly and efficiently computing the blending surfaces of a protein which is an important part of the molecular surface. Assuming that the Voronoi diagram of atoms of a protein is given, we first compute the β-shape of the protein corresponding to a solvent probe. Then, we use a search space reduction technique for the intersection tests while the link blending surface is computed. Once a β-shape is obtained, the blending surfaces corresponding to a given solvent probe can be computed in O(n) in the worst case, where n is the number of atoms. The correctness and efficiency of the algorithm stem from the powerful properties of β-shape, quasi-triangulation, and the interworld data structure.
机译:已经普遍认为,分子的结构是确定分子功能的最重要因素之一。因此,已经进行了研究以分析分子的结构。分子表面是分子结构的重要例子。考虑到分子表面,可以计算分子的面积和体积以促进蛋白质对接和折叠等问题。因此,重要的是精确和有效地计算分子表面。本文呈现了一种正确且有效地计算蛋白质的混合表面的算法,其是分子表面的重要组成部分。假设给出了蛋白质的原子的Voronoi图,首先将对应于溶剂探针的蛋白质的β形。然后,我们使用搜索空间减少技术来计算链路混合表面的交叉测试。一旦获得β-形状,混合对应于给定溶剂的探针表面可以为O(n)在最坏的情况下被计算,其中n是原子的数目。算法的正确性和效率源于β形,准三角形和互相数据结构的强大特性。

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