CoMFA and docking study of novel estrogen receptor subtype selective ligands

被引:41
作者
Wolohan, P [1 ]
Reichert, DE [1 ]
机构
[1] Washington Univ, Sch Med, Edward Mallinckrodt Inst Radiol, St Louis, MO 63110 USA
关键词
CoMFA; docking; estrogen receptor; scoring function; subtype selective;
D O I
10.1023/A:1026104924132
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
We present the results from a Comparative Molecular Field Analysis (CoMFA) and docking study of a diverse set of 36 estrogen receptor ligands whose relative binding affinities (RBA) with respect to 17beta-Estradiol were available in both isoforms of the nuclear estrogen receptors (ERalpha, ERbeta). Initial CoMFA models exhibited a correlation between the experimental relative binding affinities and the molecular steric and electrostatic fields; ERalpha: r(2) = 0.79, q(2) = 0.44 ERbeta: r(2) = 0.93, q(2) = 0.63. Addition of the solvation energy of the isolated ligand improved the predictive nature of the ERbeta model initially; r(2) = 0.96, q(2) = 0.70 but upon rescrambling of the data-set and reselecting the training set at random, inclusion of the ligand solvation energy was found to have little effect on the predictive nature of the CoMFA models. The ligands were then docked inside the ligand binding domain (LBD) of both ERalpha and ERbeta utilizing the docking program Gold, after-which the program CScore was used to rank the resulting poses. Inclusion of both the Gold and CScore scoring parameters failed to improve the predictive ability of the original CoMFA models. The subtype selectivity expressed as RBA(ERalpha/ERbeta) of the test sets was predicted using the most predictive CoMFA models, as illustrated by the cross-validated r(2). In each case the most selective ligands were ranked correctly illustrating the utility of this method as a prescreening tool in the development of novel estrogen receptor subtype selective ligands.
引用
收藏
页码:313 / 328
页数:16
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