Department of Chemistry, University of Life Sciences, Maria Curie-Skłodowska University, Lublin, Poland.
Arch Pharm (Weinheim). 2011 May;344(5):340-4. doi: 10.1002/ardp.201000029. Epub 2011 Feb 2.
We have developed a NMR data quantitative structure-activity relationship NMR-QSAR model based on (1)H- and (13)C-NMR experimental spectral data of 4-(5-arylamino-1,3,4-thiadiazol-2-yl)benzene-1,3-diols. Compounds show in-vitro antiproliferative activity against some human cancer cell lines. Two-parameter equations obtained by the multiple linear regression procedure showed that chemical shifts of the protons of hydroxyl groups and carbon atoms of the 1,3,4-thiadiazole ring are the decisive descriptors of inhibition interactions of the compounds. The models gave leave-one-out (LOO) cross-validation ranges from 78% to 93%. The obtained NMR-QSAR equations provide a rapid, reliable, and simple way for predicting the antiproliferative activity of N-substituted 4-(5-amino-1,3,4-thiadiazol-2-yl)benzene-1,3-diols.
我们基于 4-(5-芳基氨基-1,3,4-噻二唑-2-基)苯-1,3-二醇的 (1)H-和 (13)C-NMR 实验谱数据开发了一种 NMR 数据定量构效关系 (NMR-QSAR) 模型。这些化合物对一些人癌细胞系表现出体外增殖活性。通过多元线性回归程序获得的双参数方程表明,羟基质子和 1,3,4-噻二唑环碳原子的化学位移是化合物抑制相互作用的决定性描述符。该模型的留一法 (LOO) 交叉验证范围为 78%至 93%。所得到的 NMR-QSAR 方程为预测 N-取代的 4-(5-氨基-1,3,4-噻二唑-2-基)苯-1,3-二醇的增殖活性提供了一种快速、可靠和简单的方法。