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Nat Nanotechnol. 2008 Jul;3(7):423-8. doi: 10.1038/nnano.2008.111. Epub 2008 May 20.
2
Nanotoxicology: Are carbon nanotubes safe?纳米毒理学:碳纳米管安全吗?
Nat Nanotechnol. 2008 Apr;3(4):191-2. doi: 10.1038/nnano.2008.77.
3
The long and short of carbon nanotube toxicity.碳纳米管毒性的要点
Nat Biotechnol. 2008 Jul;26(7):774-6. doi: 10.1038/nbt0708-774.
4
Thermal ablation of tumor cells with antibody-functionalized single-walled carbon nanotubes.用抗体功能化单壁碳纳米管对肿瘤细胞进行热消融
Proc Natl Acad Sci U S A. 2008 Jun 24;105(25):8697-702. doi: 10.1073/pnas.0803557105. Epub 2008 Jun 16.
5
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Small. 2008 Jun;4(6):721-7. doi: 10.1002/smll.200700754.
6
Circulation and long-term fate of functionalized, biocompatible single-walled carbon nanotubes in mice probed by Raman spectroscopy.通过拉曼光谱法探测功能化、生物相容性单壁碳纳米管在小鼠体内的循环及长期命运
Proc Natl Acad Sci U S A. 2008 Feb 5;105(5):1410-5. doi: 10.1073/pnas.0707654105. Epub 2008 Jan 29.
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Identification of possible sources of nanotoxicity from carbon nanotubes inserted into membrane bilayers using membrane interaction quantitative structure--activity relationship analysis.使用膜相互作用定量构效关系分析确定插入膜双层中的碳纳米管纳米毒性的可能来源。
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9
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Multi-walled carbon nanotube exposure alters protein expression in human keratinocytes.多壁碳纳米管暴露会改变人类角质形成细胞中的蛋白质表达。
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药物和生物活性小分子与碳纳米管的亲和力:一种药效学和纳米毒性因素?

Affinity of drugs and small biologically active molecules to carbon nanotubes: a pharmacodynamics and nanotoxicity factor?

作者信息

Liu John, Yang Liu, Hopfinger Anton J

机构信息

The Chem21 Group, Inc., Lake Forest, IL 60045, USA.

出版信息

Mol Pharm. 2009 May-Jun;6(3):873-82. doi: 10.1021/mp800197v.

DOI:10.1021/mp800197v
PMID:19281188
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC2689322/
Abstract

The MM-PBSA MD method was used to estimate the affinity, as represented by log k(b), of each of a variety of biologically active molecules to a carbon nanotube in an aqueous environment. These ligand-receptor binding simulations were calibrated by first estimating the log k(b) values for eight ligands to human serum albumin, HSA, whose log k(b) values have been observed. A validation linear correlation equation was established [R(2) = 0.888, Q(2) = 0.603] between the observed and estimated log k(b) values to HSA. This correlation equation was then used to rescale all MM-PBSA MD log k(b) values using a carbon nanotube as the receptor. The log k(b) of the eight HSA ligands, nine polar and/or rigid ligands and six nonpolar and/or flexible ligands to a carbon nanotube were estimated. The range in rescaled log k(b) values across this set of 23 ligands is 0.25 to 7.14, essentially 7 orders of magnitude. Some ligands, like PGI2, bind in the log k(b) = 7 range which corresponds to the lower limits of known drugs. Thus, such significant levels of binding of biologically relevant compounds to carbon nanotubes might lead to alterations in the normal pharmacodynamic profiles of these compounds and be a source of toxicity. Ligand binding potency to a carbon nanotube is largely controlled by the shape, polarity/nonpolarity distribution and flexibility of the ligand. HSA ligands exhibit the most limited binding to a carbon nanotube, and they are relatively rigid and of generally spherical shape. Polar and/or rigid ligands bind less strongly to the carbon nanotube, on average, than nonpolar and/or flexible ligands even though the chosen members of both classes of ligands in this study have chainlike shapes that facilitate binding. The introduction of only a few strategically spaced single bonds in the polar and/or rigid ligands markedly increases their binding to a carbon nanotube.

摘要

采用MM-PBSA MD方法来估计各种生物活性分子在水性环境中与碳纳米管的亲和力,以log k(b)表示。通过首先估计八种配体与人血清白蛋白(HSA)的log k(b)值来校准这些配体-受体结合模拟,HSA的log k(b)值已被观测到。建立了观测到的和估计的HSA的log k(b)值之间的验证线性相关方程[R(2) = 0.888,Q(2) = 0.603]。然后使用该相关方程,以碳纳米管作为受体重新缩放所有MM-PBSA MD的log k(b)值。估计了八种HSA配体、九种极性和/或刚性配体以及六种非极性和/或柔性配体与碳纳米管的log k(b)值。这23种配体重新缩放后的log k(b)值范围为0.25至7.14,基本上跨越7个数量级。一些配体,如前列环素(PGI2),在log k(b) = 7的范围内结合,这对应于已知药物的下限。因此,生物相关化合物与碳纳米管的这种显著结合水平可能会导致这些化合物正常药效学特征的改变,并成为毒性的一个来源。配体与碳纳米管的结合效力在很大程度上受配体的形状、极性/非极性分布和柔性控制。HSA配体与碳纳米管的结合最为有限,它们相对刚性且通常呈球形。极性和/或刚性配体平均而言与碳纳米管的结合不如非极性和/或柔性配体强,尽管在本研究中这两类配体所选的成员都具有有利于结合的链状形状。在极性和/或刚性配体中仅引入几个经策略性间隔的单键就会显著增加它们与碳纳米管的结合。