DocumentCode
534662
Title
DFT studies on the quantitative structure-activity relationship of N-(2-chloroethyl)-N′-cyclohexyl-N-nitrosoureas as anticancer agents
Author
Cao, Jun ; Jin, Shubin ; Han, Bing ; Liu, Wei ; Zhao, Lijiao ; Zhong, Rugang
Author_Institution
Coll. of Life Sci. & Bioeng., Beijing Univ. of Technol., Beijing, China
Volume
6
fYear
2010
fDate
16-18 Oct. 2010
Firstpage
2373
Lastpage
2376
Abstract
N-(2-chloroethyl)-N´-cyclohexyl-N-nitrosoureas (CCNUs) are widely applied as antitumor agents. However, researches have indicated that their decomposition products are inclined to cause secondary cancer. Hence it is necessary to probe into both carcinogenic and anticancer mechanism of such compounds so that effective anticancer drugs with lower toxicity can be obtained. In the present work, the DFT-B3LYP method with the basis set of 6-31+G(d, p) was employed to calculate the molecular geometries and electronic structures of 17 CCNUs. The charges of C6 and (miLogP)2 were selected as quantum chemical descriptors. The observed anticancer activity along with the two descriptors was used to establish the quantitative structure-activity relationship (QSARs). Through multiple linear regression analysis, a model was established as follows: log l/C = -0.042 × (miLogP)2 + 11.783 × QC6 + 3.237. Here C refers to the molar concentration (mol/kg) of drugs producing a reduction of 1000-fold of leukemia cells to mice. This QSAR model can be applied to predict the anticancer activity of CCNUs, as well as elucidate their anticancer mechanism reasonably.
Keywords
band structure; cancer; cellular biophysics; density functional theory; drugs; molecular biophysics; molecular configurations; organic compounds; 6-31+G(d, p) basis set; CCNU anticancer activity; CCNU electronic structures; CCNU molecular geometry; CCNU quantitative structure-activity relationship; DFT-B3LYP method; QSAR model; anticancer activity; anticancer agents; anticancer mechanism; density functional theory; drug molar concentration; leukemia cells; linear regression analysis; mice; quantitative structure-activity relationship; quantum chemical descriptors; Cancer; Chemicals; Compounds; Computational modeling; Correlation; DNA; Discrete Fourier transforms; N-cyclohexyl-N′-(2-chloroethyl)-N′-nitrosoureas; anticancer; density functional theory; quantitative structure- activity relationship;
fLanguage
English
Publisher
ieee
Conference_Titel
Biomedical Engineering and Informatics (BMEI), 2010 3rd International Conference on
Conference_Location
Yantai
Print_ISBN
978-1-4244-6495-1
Type
conf
DOI
10.1109/BMEI.2010.5639716
Filename
5639716
Link To Document