3D-QSAR Studies of Natural Steroidal Saponins as Anticancer Agents in Human Nasopharyngeal Carcinoma Epithelial Cells

Author(s): Wu Xia, Lan Ping, Liu Zhong, Ruan Zhixiong, Wang Hui, Wang Guocai, Ye Wencai, Li Yaolan

Journal Name: Letters in Drug Design & Discovery

Volume 10 , Issue 3 , 2013

Become EABM
Become Reviewer
Call for Editor


Three-dimensional quantitative structure-activity relationship (3D-QSAR) studies were carried out on a series of structurally related steroidal saponins isolated from Paris polyphylla var. yunnanensis in order to determine the structural properties required for their cytotoxic effect on human nasopharyngeal carcinoma epithelial (CNE) cells. The comparative molecular field analysis (CoMFA) and comparative molecular similarity indices analysis (CoMSIA) models using twenty-five compounds in the training set gave the cross-validated correlation coefficients r2cv values of 0.667 and 0.686, non-cross-validated correlation coefficients r2 values of 0.985 and 0.976, and predicted correction coefficients r2pred values of 0.887 and 0.740, respectively, indicating that both methods have significant predictive capability. The contour maps generated by the CoMFA and CoMSIA models were used to identify the key structural requirements responsible for the biological activity. The findings of these molecular modeling studies can serve as a useful guide for future rational design of potential agents with better anti-CNE activity.

Keywords: 3D-QSAR, CoMFA, CoMSIA, Steroidal saponins, Human nasopharyngeal carcinoma epithelial cells, Cytotoxicity.

Rights & PermissionsPrintExport Cite as

Article Details

Year: 2013
Published on: 25 January, 2013
Page: [245 - 252]
Pages: 8
DOI: 10.2174/1570180811310030008
Price: $65

Article Metrics

PDF: 9