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优先结合细胞色素 c 到阴离子配体涂覆的金纳米粒子:互补的计算和实验方法。

Preferential Binding of Cytochrome c to Anionic Ligand-Coated Gold Nanoparticles: A Complementary Computational and Experimental Approach.

机构信息

Department of Chemistry , University of Minnesota-Twin Cities , Minneapolis , Minnesota 55455 , United States.

Department of Chemistry , Johns Hopkins University , Baltimore , Maryland 21218 , United States.

出版信息

ACS Nano. 2019 Jun 25;13(6):6856-6866. doi: 10.1021/acsnano.9b01622. Epub 2019 May 22.

Abstract

Membrane-bound proteins can play a role in the binding of anionic gold nanoparticles (AuNPs) to model bilayers; however, the mechanism for this binding remains unresolved. In this work, we determine the relative orientation of the peripheral membrane protein cytochrome c in binding to a mercaptopropionic acid-functionalized AuNP (MPA-AuNP). As this is nonrigid binding, traditional methods involving crystallographic or rigid molecular docking techniques are ineffective at resolving the question. Instead, we have implemented a computational assay technique using a cross-correlation of a small ensemble of 200 ns long molecular dynamics trajectories to identify a preferred nonrigid binding orientation or pose of cytochrome c on MPA-AuNPs. We have also employed a mass spectrometry-based footprinting method that enables the characterization of the stable protein corona that forms at long time-scales in solution but remains in a dynamic state. Through the combination of these computational and experimental primary results, we have established a consensus result establishing the identity of the exposed regions of cytochrome c in proximity to MPA-AuNPs and its complementary pose(s) with amino-acid specificity. Moreover, the tandem use of the two methods can be applied broadly to determine the accessibility of membrane-binding sites for peripheral membrane proteins upon adsorption to AuNPs or to determine the exposed amino-acid residues of the hard corona that drive the acquisition of dynamic soft coronas. We anticipate that the combined use of simulation and experimental methods to characterize biomolecule-nanoparticle interactions, as demonstrated here, will become increasingly necessary as the complexity of such target systems grows.

摘要

膜结合蛋白在阴离子金纳米粒子(AuNPs)与模型双层膜的结合中可能发挥作用;然而,这种结合的机制仍未解决。在这项工作中,我们确定了外周膜蛋白细胞色素 c 在与巯基丙酸功能化 AuNP(MPA-AuNP)结合时的相对取向。由于这是非刚性结合,传统的涉及晶体学或刚性分子对接技术的方法在解决这个问题上是无效的。相反,我们已经实施了一种计算测定技术,使用一小部分 200 ns 长分子动力学轨迹的互相关来识别细胞色素 c 在 MPA-AuNP 上的优先非刚性结合取向或构象。我们还采用了基于质谱的足迹法,该方法能够在溶液中长时间尺度下对稳定的蛋白质冠进行表征,但仍处于动态状态。通过这些计算和实验的主要结果的结合,我们已经建立了一个共识结果,确定了细胞色素 c 与 MPA-AuNP 接近的暴露区域的身份及其与氨基酸特异性互补的构象。此外,这两种方法的串联使用可以广泛应用于确定外周膜蛋白在吸附到 AuNP 时对膜结合位点的可及性,或者确定驱动动态软冠获得的硬冠的暴露氨基酸残基。我们预计,正如这里所展示的,模拟和实验方法相结合来表征生物分子-纳米粒子相互作用的方法将变得越来越必要,因为这些目标系统的复杂性不断增加。

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