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用于预测外源性化学物质皮肤渗透性的定量构效关系(QSARs)

Quantitative structure-activity relationships (QSARs) for the prediction of skin permeation of exogenous chemicals.

作者信息

Patel Hiren, ten Berge Wil, Cronin Mark T D

机构信息

School of Pharmacy and Chemistry, Liverpool John Moores University, UK.

出版信息

Chemosphere. 2002 Aug;48(6):603-13. doi: 10.1016/s0045-6535(02)00114-5.

Abstract

Quantitative structure-activity relationships (QSARs) for the skin permeability coefficients of 158 compounds through excised human skin in vitro have been developed. A number of compounds, including hydrocortisone derivatives, were removed from the dataset as reported permeability data for these compounds was considered to be in error. QSARs developed for the dataset with the outliers removed included terms for hydrophobicity, molecular size, and hydrogen bonding. These descriptors provided an excellent fit to the data (r2 = 0.90), are easily calculated from molecular structure, and are mechanistically interpretable. Further analyses of the dataset indicated that good QSARs could be developed utilising hydrophobicity and molecular size alone, with molecular volume and molecular weight providing good quantification of molecular size.

摘要

已建立了158种化合物通过离体人皮肤的体外皮肤渗透系数的定量构效关系(QSARs)。一些化合物,包括氢化可的松衍生物,已从数据集中移除,因为据报道这些化合物的渗透数据被认为有误。针对去除异常值后的数据集中开发的QSARs包括疏水性、分子大小和氢键等项。这些描述符与数据拟合良好(r2 = 0.90),易于从分子结构计算得出,且具有机理可解释性。对数据集的进一步分析表明,仅利用疏水性和分子大小就可以开发出良好的QSARs,分子体积和分子量能很好地量化分子大小。

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