2D-QSARs of 1-Alkoxymethyl-5-alkyl-6-naphthylmethyl Uracils as HEPT Analogues with Anti-HIV-1 Activity  

作　　者：殷丽琴 杨晓梅 余仕问 姚立峰 胡栋宝 谢小光 

机构地区：[1]Department of Chemistry,Yunnan University [2]Key Laboratory of Medicinal Chemistry for Natural Resource (Yunnan University)Ministry of Education

出　　处：《Chinese Journal of Structural Chemistry》2008年第12期1519-1525,共7页结构化学（英文）

基　　金：supported by NNSFC (20563005)

摘　　要：The two-dimensional Quantitative Structure-Activity Relationship （2D-QSAR） models have been developed to estimate and predict the inhibitory activities of a series of HEPT analogues against HIV-1 by using quantum chemical parameters and physicochemical parameters. The best model of three parameters yields r = 0.908, r^2A = 0.800 and s = 0.467 based on stepwise multiple regression （SMR） method. The stability of the model has been verified by t-test, and the results show that the model has perfect robustness. The predictive power of QSAR models has been tested by Leave-One-Out （LOO） and Leave-Group（regularly random set）-Out（LGO） procedure Cross-Validation methodology. The r^2cv of 0.755 and r^2pred of 0.759 were obtained, respectively.The two-dimensional Quantitative Structure-Activity Relationship （2D-QSAR） models have been developed to estimate and predict the inhibitory activities of a series of HEPT analogues against HIV-1 by using quantum chemical parameters and physicochemical parameters. The best model of three parameters yields r = 0.908, r^2A = 0.800 and s = 0.467 based on stepwise multiple regression （SMR） method. The stability of the model has been verified by t-test, and the results show that the model has perfect robustness. The predictive power of QSAR models has been tested by Leave-One-Out （LOO） and Leave-Group（regularly random set）-Out（LGO） procedure Cross-Validation methodology. The r^2cv of 0.755 and r^2pred of 0.759 were obtained, respectively.

关 键 词：QSAR quantum chemical parameters stepwise multiple regression Cross-Validation methodology 

分 类 号：O621[理学—有机化学]