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71.
《中国化学快报》2020,31(12):3183-3189
Engineered nanomaterials have attracted significantly attention as one of the most promising antimicrobial agents for against multidrug resistant infections. The toxicological responses of nanomaterials are closely related to their physicochemical properties, and establishment of a structure-activity relationship for nanomaterials at the nano-bio interface is of great significance for deep understanding antibacterial toxicity mechanisms of nanomaterials and designing safer antibacterial nanomaterials. In this study, the antibacterial behaviors of well-defined crystallographic facets of a series of Au nanocrystals, including {100}-facet cubes, {110}-facet rhombic dodecahedra, {111}-facet octahedra, {221}-facet trisoctahedra and {720}-facet concave cubes, was investigated, using the model bacteria Staphylococcus aureus. We find that Au nanocrystals display substantial facet-dependent antibacterial activities. The low-index facets of cubes, octahedra, and rhombic dodecahedra show considerable antibacterial activity, whereas the high-index facets of trisoctahedra and concave cubes remained inert under biological conditions. This result is in stark contrast to the previous paradigm that the high-index facets were considered to have higher bioactivity as compared with low-index facets. The antibacterial mechanism studies have shown that the facet-dependent antibacterial behaviors of Au nanocrystals are mainly caused by differential bacterial membrane damage as well as inhibition of cellular enzymatic activity and energy metabolism. The faceted Au nanocrystals are unique in that they do not induce generation of reactive oxygen species, as validated for most antibiotics and antimicrobial nanostructures. Our findings may provide a deeper understanding of facet-dependent toxicological responses and suggest the complexities of the nanomaterial-cell interactions, shedding some light on the development of high performance Au nanomaterials-based antibacterial therapeutics. 相似文献
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用数值遗传算法改进非线性PLS法进行构效关系研究 总被引:8,自引:0,他引:8
将数值遗传算法同非线性PLS结合,改进和完善了非线性PLS,推导了指数,对数,倒数和Sigmoid函数的公式,构造了可以处理多种非线性函数关系的算法,可用于解决复杂的结构与性能相互关系。 相似文献
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The molecular electronegativity-distance vector (MEDV) was used to describe the molecular structure of volatile components of Rosa banksiae Ait, and QSRR model was built up by use of multiple linear regression (MLR). Furthermore, in virtue of variable screening by the stepwise multiple regression technique, the QSRR models of 10 and 6 variables and linear retention index (LRI) 10, 7 and 6 varieables were built up by combinating MEDV with the Ultra2 column GC retention time (tR) of 53 volatile components of Rosa Banksiae Air. The multiple correlation coefficients (R) of modeling calculation values of QSRR model were 0.906, 0.906, 0.949, 0.943 and 0.949, respectively. The cross-verification multiple correlation coefficients (RCV) were 0.903, 0.904, 0.867, 0.901 and 0.904, respectively. The results show that the models constructed could provide estimation stability and favorable predictive ability. 相似文献
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烃基酚类化合物对四膜虫毒性的定量结构-活性相关研究 总被引:2,自引:0,他引:2
在B3LYP/6-311G*水平上全优化计算了41个烃基苯酚的量子化学参数,连同取代烃基位置编码参数共同表征有机物的分子结构,应用基于预测的模型变量选择方法(VSMP)选择描述子最佳子集,建立了偶极距(μ)和分子平均极化率(α)与烃基苯酚对梨形四膜虫水生毒性pIGC50 两变量线性QSAR模型,模型的相关系数r为0.9434,均方根误差RMSE为0.2548,LOO交叉验证相关系数Q为0.9170,均方根误差RMSV为0.3066;为检验模型的稳定性和预测能力,将41个样本分作了奇数集和偶数集,分别建立了模型,并用y-Randomization方法对全部样本、奇数集和偶数集所建立的模型进行了检验;建立的奇数集和偶数集模型均满足Tropsha研究小组建议的预测能力标准. 相似文献
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