Estimation of binding affinities for celecoxib analogues with COX-2 via Monte Carlo-Extended linear response

被引:31
作者
Wesolowski, SS [1 ]
Jorgensen, WL [1 ]
机构
[1] Yale Univ, Dept Chem, New Haven, CT 06520 USA
关键词
D O I
10.1016/S0960-894X(01)00825-3
中图分类号
R914 [药物化学];
学科分类号
100701 ;
摘要
Monte Carlo (MC)-extended linear response (ELR) calculations have been used for prediction of binding affinities of celecoxib analogues with the COX-2 enzyme. Three physically motivated descriptors from the MC simulations were used in a regression equation to fit 45 experimental activities with r(2) = 0.71 and q(2) = 0.68. The ELR approach provides a promising screen for optimization of enzyme inhibitors. (C) 2002 Elsevier Science Ltd. All rights reserved.
引用
收藏
页码:267 / 270
页数:4
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