Title :
Studies on quantitative structure-activity-relationship inhibitory effects of benzoic acid derivatives on tyrosinase
Author :
Lu Rong ; Ma Hai-xia ; Liu Wei-ping ; Li Wen-xin
Abstract :
A quantitative structure-activity relationship (QSAR) of 25 kinds of benzoic acid derivatives in regard to their inhibitory effects has been studied using the Hatree-Fork (HF) method and statistical method. Via a multiple linear regression analysis, some main independent factors affecting the activity of the compounds were selected out, and then the QSAR equation was established. The results show that, the maximum positive charge, the maximum negative charges and charges on O atoms of the carboxyl, have the most significant contributions to the inhibitory activity of the compounds. The maximum negative charges in the carboxyl group of benzoic acid derivatives have the most effective action in the inhibitory activity. Moreover, the results provide a theoretical foundation for synthesizing new inhibitory agents.
Keywords :
HF calculations; QSAR; biochemistry; molecular biophysics; regression analysis; Hatree-Fork method; QSAR equation; benzoic acid derivative; inhibitory effect; maximum negative charge; maximum positive charge; multiple linear regression analysis; quantitative structure-activity relationship; tyrosinase; Biological system modeling; Chaos; Chemicals; Computational modeling; Equations; Inhibitors; Linear regression; Quantum computing; Statistical analysis;
Conference_Titel :
Bioinformatics and Biomedical Engineering (iCBBE), 2010 4th International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4244-4712-1
DOI :
10.1109/ICBBE.2010.5516550