蛋白质表面化学和几何图案的统计调查是蛋白质仿真纳米粒子的蓝图

John M. McBride, Aleksei Koshevarnikov, Marta Siek, Bartosz A. Grzybowski, Tsvi Tlusty
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引用次数: 0

摘要

尽管近来在理解蛋白质序列与结构和功能的关系方面取得了突破性进展,但除了涉及结合和催化作用的区域外,人们对蛋白质表面一般特征的关注却少得多。本文对蛋白质表面进行了系统调查,量化了带正电/负电和疏水/亲水表面斑块的大小、形状和曲率,以及这些斑块之间的相关性。然后,它将这些统计数据与以带正电和带负电的配体终止的配体功能化纳米粒子的特征指标进行比较。这些微粒特别引人关注,因为它们也是表面斑块状的,而且已被证明具有抗生素和抗癌活性--通过与各种细胞结构的选择性相互作用--这引发了与蛋白质的松散类比。分析结果在几个方面支持了这种类比(例如,带电突起和疏水壁龛的模式与蛋白质中观察到的类似),但也存在显著差异。展望未来,这项工作为合理设计合成纳米物体提供了蓝图,进一步增强了对蛋白质表面特性的模拟。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Statistical Survey of Chemical and Geometric Patterns on Protein Surfaces as a Blueprint for Protein-Mimicking Nanoparticles

Statistical Survey of Chemical and Geometric Patterns on Protein Surfaces as a Blueprint for Protein-Mimicking Nanoparticles
Despite recent breakthroughs in understanding how protein sequence relates to structure and function, considerably less attention has been paid to the general features of protein surfaces beyond those regions involved in binding and catalysis. This article provides a systematic survey of the universe of protein surfaces and quantifies the sizes, shapes, and curvatures of the positively/negatively charged and hydrophobic/hydrophilic surface patches as well as correlations between such patches. It then compares these statistics with the metrics characterizing nanoparticles functionalized with ligands terminated with positively and negatively charged ligands. These particles are of particular interest because they are also surface patchy and have been shown to exhibit both antibiotic and anticancer activities—via selective interactions against various cellular structures—prompting loose analogies to proteins. The analyses support such analogies in several respects (e.g., patterns of charged protrusions and hydrophobic niches similar to those observed in proteins), although there are also significant differences. Looking forward, this work provides a blueprint for the rational design of synthetic nano-objects with further enhanced mimicry of proteins’ surface properties.
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CiteScore
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