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Structure-Based Analysis of Protein Binding Pockets Using Von Neumann Entropy

机译:使用冯·诺依曼熵的基于结构的蛋白质结合口袋分析

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Protein binding sites are regions where interactions between a protein and ligand take place. Identification of binding sites is a functional issue especially in structure-based drug design. This paper aims to present a novel feature of protein binding pockets based on the complexity of corresponding weighted Delaunay triangulation. The results demonstrate that candidate binding pockets obtain less relative Von Neumann entropy which means more random scattering of voids inside them.
机译:蛋白质结合位点是蛋白质与配体之间发生相互作用的区域。结合位点的鉴定是一个功能性问题,尤其是在基于结构的药物设计中。本文旨在根据相应加权Delaunay三角剖分的复杂性,提出蛋白质结合口袋的新特征。结果表明,候选结合口袋获得的相对冯·诺依曼熵更少,这意味着它们内部的空隙有更多的随机散射。

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