Abate Carmen, Mosier Philip Daniel, Berardi Francesco, Glennon Richard A
Dipartimento Farmacochimico, Università degli Studi di Bari, via E. Orabona 4, 70125 Bari, Italy.
Cent Nerv Syst Agents Med Chem. 2009 Sep;9(3):246-57. doi: 10.2174/1871524910909030246.
Several sigma(1) receptor ligands with sub-nanomolar affinity and excellent selectivity have been reported, but relatively few sigma(2)-selective ligands are known. 1-Cyclohexyl-4-[3-(5-methoxy-1,2,3,4-tetrahydronaphthalen-1-yl)propyl] piperazine (PB28; 1) has been reported by us as a high-affinity sigma(2) receptor ligand with significant sigma(2) selectivity, and several analogs of (1) now have been developed. Among these are the class of cyclohexylpiperazines that display a good compromise between affinity/activity and selectivity for sigma(2) receptors. Very little is currently known about the nature of sigma(2) receptors. In the absence of structure-based receptor information, we applied a comparative molecular field analysis (CoMFA) - a three-dimensional structure-activity relationship (3D-QSAR) method - to a set of cyclohexylpiperazine sigma(2) ligands to develop a predictive model that might provide information about the stereoelectronic nature of the receptor binding site. Two CoMFA models were generated from two different alignments: the first used an automated FlexS algorithm, and the second used a rationally-driven manual alignment. Significantly better predictivity was obtained with the manual alignment (TSET: q(2) = 0.73, r(2) = 0.95; PSET: r(2) = 0.55/0.73) than from the automated alignment (TSET: q(2) = 0.69, r(2) = 0.98; PSET: r(2) = 0.13/0.16). The resulting CoMFA maps account for observed structure-affinity relationships and suggest a possible anatomy for the sigma(2) receptor/cyclohexylpiperazine binding site.
已有报道称几种西格玛-1受体配体具有亚纳摩尔亲和力和出色的选择性,但已知的西格玛-2选择性配体相对较少。我们曾报道1-环己基-4-[3-(5-甲氧基-1,2,3,4-四氢萘-1-基)丙基]哌嗪(PB28;1)是一种具有显著西格玛-2选择性的高亲和力西格玛-2受体配体,目前已开发出几种其类似物。其中一类环己基哌嗪在对西格玛-2受体的亲和力/活性和选择性之间取得了良好平衡。目前对于西格玛-2受体的性质了解甚少。在缺乏基于结构的受体信息的情况下,我们将比较分子场分析(CoMFA)——一种三维构效关系(3D-QSAR)方法——应用于一组环己基哌嗪西格玛-2配体,以建立一个预测模型,该模型可能提供有关受体结合位点立体电子性质的信息。通过两种不同的比对生成了两个CoMFA模型:第一个使用自动FlexS算法,第二个使用合理驱动的手动比对。与自动比对(测试集:q(2)=0.69,r(2)=0.98;预测集:r(2)=0.13/0.16)相比,手动比对(测试集:q(2)=0.73,r(2)=0.95;预测集:r(2)=-0.55/0.73)获得了显著更好的预测性。所得的CoMFA图谱解释了观察到的结构-亲和力关系,并暗示了西格玛-2受体/环己基哌嗪结合位点的可能结构。