Duchowicz Pablo R, Bennardi Daniel O, Bacelo Daniel E, Bonifazi Evelyn L, Rios-Luci Carla, Padrón José M, Burton Gerardo, Misico Rosana I
Instituto de Investigaciones Fisicoquímicas Teóricas y Aplicadas INIFTA (UNLP, CCT La Plata-CONICET), Diag. 113 y 64, C.C. 16, Sucursal 4, 1900 La Plata, Argentina.
Cátedra de Química Orgánica, Facultad de Ciencias Agrarias y Forestales, Universidad Nacional de La Plata (UNLP), 60 y 119, B1904AAN La Plata, Argentina.
Eur J Med Chem. 2014 Apr 22;77:176-84. doi: 10.1016/j.ejmech.2014.02.057. Epub 2014 Feb 26.
The antiproliferative activities of a series of 36 naphthoquinone derivatives were subjected to a Quantitative Structure-Activity Relationships (QSAR) study. For this purpose a panel of four human cancer cell lines was used, namely HBL-100 (breast), HeLa (cervix), SW-1573 (non-small cell lung) and WiDr (colon). A conformation-independent representation of the chemical structure was established in order to avoid leading with the scarce experimental information on X-ray crystal structure of the drug interaction. The 1179 theoretical descriptors derived with E-Dragon and Recon software were simultaneously analyzed through linear regression models based on the Replacement Method variable subset selection technique. The established models were validated and tested through the use of external test sets of compounds, the Leave-One-Out Cross Validation method, Y-Randomization and Applicability Domain analysis.
对一系列36种萘醌衍生物的抗增殖活性进行了定量构效关系(QSAR)研究。为此,使用了一组四种人类癌细胞系,即HBL-100(乳腺)、HeLa(宫颈)、SW-1573(非小细胞肺癌)和WiDr(结肠)。建立了化学结构的构象无关表示法,以避免因药物相互作用的X射线晶体结构的实验信息稀缺而产生误导。通过基于替换法变量子集选择技术的线性回归模型,同时分析了用E-Dragon和Recon软件得出的1179个理论描述符。通过使用化合物外部测试集、留一法交叉验证方法、Y随机化和适用域分析,对建立的模型进行了验证和测试。