Exploiting Receptor Competition to Enhance Nanoparticle Binding Selectivity
Exploiting Receptor Competition to Enhance Nanoparticle Binding Selectivity
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DOI：
10.1103/physrevlett.118.068001
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发表时间：
2017-02-08
影响因子：
8.6
通讯作者：
Angioletti-Uberti, Stefano
中科院分区：
文献类型：
--
作者：
Angioletti-Uberti, Stefano
用多个配体功能化的纳米颗粒可以根据它们表达的受体进行编程以结合生物靶标，从而提供从选择性药物输送到生物传感等各种技术中利用的通用机制。为了实现高度选择性的结合，配体应该专门与特定的靶向受体相互作用，因为与其他非靶向受体形成键会导致非特异性结合和潜在的有害行为。这对于多价纳米颗粒来说是一个特殊的问题，因为即使非常弱的键也可以共同导致强结合。这里使用统计力学模型来描述如何利用不同受体之间的竞争以及多价效应来设计对非靶向受体的存在不敏感的配体功能化纳米颗粒，从而防止非特异性结合。
Nanoparticles functionalized with multiple ligands can be programed to bind biological targets depending on the receptors they express, providing a general mechanism exploited in various technologies, from selective drug delivery to biosensing. For binding to be highly selective, ligands should exclusively interact with specific targeted receptors, because the formation of bonds with other, untargeted ones would lead to nonspecific binding and potentially harmful behavior. This poses a particular problem for multivalent nanoparticles, because even very weak bonds can collectively lead to strong binding. A statistical mechanical model is used here to describe how competition between different receptors together with multivalent effects can be harnessed to design ligand-functionalized nanoparticles insensitive to the presence of untargeted receptors, preventing nonspecific binding.