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Molecular dynamics simulations on the effect of size and shape on the interactions between negative Au18(SR)14 Au102(SR)44 and Au144(SR)60 nanoparticles in physiological saline

机译:大小和形状对负生理盐水中Au18(SR)14Au102(SR)44和Au144(SR)60纳米颗粒相互作用的分子动力学模拟

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摘要

Molecular dynamics simulations employing all-atom force fields have become a reliable way to study binding interactions quantitatively for a wide range of systems. In this work, we employ two recently developed methods for the calculation of dissociation constants KD between gold nanoparticles (AuNPs) of different sizes in a near-physiological environment through the potential of mean force (PMF) formalism: the method of geometrical restraints developed by Woo et al. and formalized by Gumbart et al. and the method of hybrid Steered Molecular Dynamics (hSMD). Obtaining identical results (within the margin of error) from both approaches on the negatively charged Au18(SR)14 NP, functionalized by the negatively charged 4-mercapto-benzoate (pMBA) ligand, we draw parallels between their energetic and entropic interactions. By applying the hSMD method on Au102(SR)44 and Au144(SR)60, both of them near-spherical in shape and functionalized by pMBA, we study the effects of size and shape on the binding interactions. Au18 binds weakly with KD = 13mM as a result of two opposing effects: its large surface curvature hindering the formation of salt bridges, and its large ligand density on preferential orientations favoring their formation. On the other hand, Au102 binds more strongly with KD = 30μM and Au144 binds the strongest with KD = 3.2nM.
机译:利用全原子力场的分子动力学模拟已成为一种可靠的方法,可以广泛地研究各种系统之间的键相互作用。在这项工作中,我们采用两种最新开发的方法,通过平均力(PMF)形式势的潜力,在近生理环境中计算不同大小的金纳米颗粒(AuNPs)之间的解离常数KD: Woo等。并由Gumbart等人正式化。和混合转向分子动力学(hSMD)的方法。在带负电的4-巯基苯甲酸酯(pMBA)配体官能化的带负电的Au18(SR)14 NP上,两种方法均获得相同的结果(误差范围内),我们在它们的能量相互作用和熵相互作用之间得出了相似之处。通过将hSMD方法应用于Au102(SR)44和Au144(SR)60(它们均接近球形并且已通过pMBA功能化),我们研究了大小和形状对结合相互作用的影响。由于两个相反的作用,Au18与KD = 13mM的结合较弱:其大的表面曲率阻碍了盐桥的形成;其在优先方向上的大配体密度有利于它们的形成。另一方面,Au102与KD =30μM的结合更牢固,而Au144与KD = 3.2nM的结合最强。

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