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多分散球体堆积中孔隙空间的表征:在硬球堆积和蛋白质结构分析中的应用。

Characterization of void space in polydisperse sphere packings: Applications to hard-sphere packings and to protein structure analysis.

作者信息

Maiti Moumita, Lakshminarayanan Arun, Sastry Srikanth

机构信息

Theoretical Sciences Unit, JNCASR, 560065, Jakkur, Banglore, India.

出版信息

Eur Phys J E Soft Matter. 2013 Jan;36(1):5. doi: 10.1140/epje/i2013-13005-4. Epub 2013 Jan 28.

Abstract

The implementation of a method for the exact evaluation of the volume and surface area of cavities and free volumes in polydisperse sphere packings is described. The generalization of an algorithm for Voronoi tessellation by Tanemura et al. is presented, employing the radical plane construction, as a part of the method. We employ this method to calculate the equation of state for monodisperse and polydisperse hard-sphere fluids, crystals, and for the metastable amorphous branch up to random close packing or jamming densities. We compute the distribution of free volumes, and compare with previous results employing a heuristic definition of free volume. We show the efficacy of the method for analyzing protein structure, by computing various quantities such as the distribution of sizes of buried cavities and pockets, the scaling of solvent accessible area to the corresponding occupied volume, the composition of residues lining cavities, etc.

摘要

本文描述了一种用于精确评估多分散球体堆积中孔洞体积和表面积以及自由体积的方法的实现。作为该方法的一部分,提出了对Tanemura等人的Voronoi镶嵌算法的推广,采用了基平面构造。我们使用该方法来计算单分散和多分散硬球流体、晶体以及直至随机密堆积或堵塞密度的亚稳态非晶分支的状态方程。我们计算自由体积的分布,并与之前采用自由体积启发式定义的结果进行比较。通过计算各种量,如埋藏孔洞和口袋尺寸的分布、溶剂可及面积与相应占据体积的缩放比例、孔洞内衬残基的组成等,我们展示了该方法在分析蛋白质结构方面的有效性。

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