Probing driving forces for binding between nanoparticles and amino acids by saturation-transfer difference NMR

Probing driving forces for binding between nanoparticles and amino acids by saturation-transfer difference NMR
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通过饱和转移差核磁共振探测纳米粒子和氨基酸之间结合的驱动力

DOI:
10.1038/s41598-020-69185-7
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发表时间:
2020
期刊:
影响因子:
4.6
通讯作者:
Casabianca, Leah B.
Casabianca, Leah B.
中科院分区:
综合性期刊3区
文献类型:
--
作者:
Xu, Hui;Casabianca, Leah B.

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随着纳米技术越来越多地应用于生物医学,拥有用于检查工程纳米粒子表面上生物相关分子的结构和动力学的技术非常重要。先前的工作表明,饱和传递差(STD)-NMR 可用于探索小分子(包括氨基酸)与聚苯乙烯纳米粒子表面之间的相互作用。在这里,我们使用 STD-NMR 进一步探索导致这些相互作用的不同驱动力。通过使用两性离子聚苯乙烯珠并在高、低和中性 pH 值下进行 STD-NMR 实验,以及通过改变盐浓度并观察对 STD 累积曲线的影响来探测静电效应。还通过使用一系列具有不同长度疏水性侧链的非天然氨基酸建立结合的结构-活性关系,探索了分散相互作用对配体-纳米颗粒结合的影响。这些结果将有助于预测肽中的哪些残基负责结合,并有助于了解未来研究中肽与纳米粒子之间结合的驱动力。
As nanotechnology becomes increasingly used in biomedicine, it is important to have techniques by which to examine the structure and dynamics of biologically-relevant molecules on the surface of engineered nanoparticles. Previous work has shown that Saturation-Transfer Difference (STD)-NMR can be used to explore the interaction between small molecules, including amino acids, and the surface of polystyrene nanoparticles. Here we use STD-NMR to further explore the different driving forces that are responsible for these interactions. Electrostatic effects are probed by using zwitterionic polystyrene beads and performing STD-NMR experiments at high, low, and neutral pH, as well as by varying the salt concentration and observing the effect on the STD buildup curve. The influence of dispersion interactions on ligand-nanoparticle binding is also explored, by establishing a structure–activity relationship for binding using a series of unnatural amino acids with different lengths of hydrophobic side chains. These results will be useful for predicting which residues in a peptide are responsible for binding and for understanding the driving forces for binding between peptides and nanoparticles in future studies.
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发表时间: 2020-01
影响因子: 1
作者:
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使用饱和传递差 (STD)-NMR 光谱检查纳米粒子表面的结合
DOI: 10.1021/acs.jpcc.7b08828
发表时间: 2017
影响因子: 3.7
作者:
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