DocumentCode :
3065152
Title :
A QSAR Study on Neurotrophic Activities of N-p-Tolyl/phenylsulfonyl L-Amino Acid Thiolester Derivatives
Author :
Hu, Jiwei ; Luo, Jin ; Fu, Liya
Author_Institution :
Guizhou Provincial Key Lab. for Inf. Syst. of Mountainous Areas & Protection of Ecological Environ., Guizhou Normal Univ., Guiyang, China
fYear :
2011
fDate :
29-31 July 2011
Firstpage :
355
Lastpage :
358
Abstract :
The objective of the present work was to study the quantitative structure-activity relationship (QSAR) of the protective effects of N-p-tolyl/phenyl sulfonyl L-amino acid thiolester derivatives on anoxic damage of rat pheochromocytoma (PC12) cells. Four molecular parameters of seventeen N-p-tolyl/phenyl sulfonyl L-amino acid thiolester derivatives, including heat of formation, dipole moment, the energy of the highest occupied molecular orbital and the energy of the lowest unoccupied molecular orbital, were calculated with two semi-empirical quantum mechanical methods, PM6 and RM1, respectively. The QSAR model based on molecular parameters and protective effects of these compounds on anoxic damage of PC12 cells were studied using the multiple linear regression analysis and principal component analysis. It is found that dipole moment and the energy of the lowest unoccupied molecular orbital are important factors for neurotrophic activities of these N-p-tolyl/phenyl sulfonyl L-amino acid thiolester derivatives. Results from PM6 and RM1 methods were compared, indicating that using PM6 method to calculate these molecular parameters is probably more applicable to the QSAR analysis in this study.
Keywords :
QSAR; biochemistry; heat of formation; molecular biophysics; molecular electronic states; molecular moments; principal component analysis; proteins; N-p-tolyl/phenylsulfonyl L-amino acid thiolester derivative; PC12 cell; PM6 method; QSAR model; RM1 method; anoxic damage; dipole moment; heat of formation; highest occupied molecular orbital energy; lowest unoccupied molecular orbital energy; molecular parameter; multiple linear regression analysis; neurotrophic activity; principal component analysis; protective effect; quantitative structure-activity relationship; rat pheochromocytoma cell; semiempirical quantum mechanical method; Analytical models; Compounds; Correlation; Delta modulation; Linear regression; Mathematical model; Principal component analysis; Molecular Parameters; Neurotrophic Activities; QSAR; Thiolester;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Business Computing and Global Informatization (BCGIN), 2011 International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4577-0788-9
Electronic_ISBN :
978-0-7695-4464-9
Type :
conf
DOI :
10.1109/BCGIn.2011.95
Filename :
6003897
Link To Document :
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