Ai Ni, Krasowski Matthew D, Welsh William J, Ekins Sean
Department of Pharmacology, Robert Wood Johnson Medical School, University of Medicine & Dentistry of New Jersey, Piscataway, NJ 08854, USA.
Drug Discov Today. 2009 May;14(9-10):486-94. doi: 10.1016/j.drudis.2009.03.003. Epub 2009 Mar 11.
Nuclear receptors (NRs) are important targets for therapeutic drugs. NRs regulate transcriptional activities through binding to ligands and interacting with several regulating proteins. Computational methods can provide insights into essential ligand-receptor and protein-protein interactions. These in turn have facilitated the discovery of novel agonists and antagonists with high affinity and specificity as well as have aided in the prediction of toxic side effects of drugs by identifying possible off-target interactions. Here, we review the application of computational methods toward several clinically important NRs (with special emphasis on PXR) and discuss their use for screening and predicting the toxic side effects of xenobiotics.
核受体(NRs)是治疗药物的重要靶点。核受体通过与配体结合并与多种调节蛋白相互作用来调节转录活性。计算方法能够深入了解关键的配体 - 受体和蛋白质 - 蛋白质相互作用。这些反过来又促进了具有高亲和力和特异性的新型激动剂和拮抗剂的发现,并且通过识别可能的脱靶相互作用辅助预测药物的毒副作用。在此,我们综述了计算方法在几种临床重要核受体(特别强调孕烷X受体)上的应用,并讨论它们在筛选和预测外源性物质毒副作用方面的用途。