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金结合肽中的小面选择性:利用界面水结构

Facet selectivity in gold binding peptides: exploiting interfacial water structure.

作者信息

Wright Louise B, Palafox-Hernandez J Pablo, Rodger P Mark, Corni Stefano, Walsh Tiffany R

机构信息

Dept. of Chemistry , University of Warwick , Coventry , CV4 7AL , UK.

Institute for Frontier Materials , Deakin University , Geelong , 3216 , VIC , Australia . Email:

出版信息

Chem Sci. 2015 Sep 1;6(9):5204-5214. doi: 10.1039/c5sc00399g. Epub 2015 Jun 23.

Abstract

Peptide sequences that can discriminate between gold facets under aqueous conditions offer a promising route to control the growth and organisation of biomimetically-synthesised gold nanoparticles. Knowledge of the interplay between sequence, conformations and interfacial properties is essential for predictable manipulation of these biointerfaces, but the structural connections between a given peptide sequence and its binding affinity remain unclear, impeding practical advances in the field. These structural insights, at atomic-scale resolution, are not easily accessed with experimental approaches, but can be delivered molecular simulation. A current unmet challenge lies in forging links between predicted adsorption free energies derived from enhanced sampling simulations with the conformational ensemble of the peptide and the water structure at the surface. To meet this challenge, here we use an combination of Replica Exchange with Solute Tempering with Metadynamics simulations to predict the adsorption free energy of a gold-binding peptide sequence, AuBP1, at the aqueous Au(111), Au(100)(1 × 1) and Au(100)(5 × 1) interfaces. We find adsorption to the Au(111) surface is stronger than to Au(100), irrespective of the reconstruction status of the latter. Our predicted free energies agree with experiment, and correlate with trends in interfacial water structuring. For gold, surface hydration is predicted as a chief determining factor in peptide-surface recognition. Our findings can be used to suggest how shaped seed-nanocrystals of Au, in partnership with AuBP1, could be used to control AuNP nanoparticle morphology.

摘要

在水性条件下能够区分金晶面的肽序列为控制仿生合成金纳米颗粒的生长和组织提供了一条有前景的途径。了解序列、构象和界面性质之间的相互作用对于可预测地操纵这些生物界面至关重要,但给定肽序列与其结合亲和力之间的结构联系仍不清楚,阻碍了该领域的实际进展。这些原子尺度分辨率的结构见解,用实验方法不易获得,但可以通过分子模拟来实现。当前一个未解决的挑战在于将增强采样模拟得出的预测吸附自由能与肽的构象系综以及表面的水结构联系起来。为了应对这一挑战,我们在此使用复制交换溶质回火与元动力学模拟相结合的方法,来预测一种金结合肽序列AuBP1在水性Au(111)、Au(100)(1×1)和Au(100)(5×1)界面的吸附自由能。我们发现,无论Au(100)表面的重构状态如何,AuBP1对Au(111)表面的吸附都比对Au(100)表面的吸附更强。我们预测的自由能与实验结果相符,并且与界面水结构的趋势相关。对于金来说,表面水合作用被预测为肽 - 表面识别的主要决定因素。我们的研究结果可用于表明,与AuBP1配合使用时,Au的特定形状的种子纳米晶体如何能够用于控制金纳米颗粒的形态。

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