Pearce Kenneth H, Iannone Marie A, Simmons Catherine A, Gray John G
Department of Gene Expression and Protein Biochemistry, GlaxoSmithKline Discovery Research, Research Triangle Park, NC 27709, USA.
Drug Discov Today. 2004 Sep 1;9(17):741-51. doi: 10.1016/S1359-6446(04)03201-5.
There is currently a marketed drug for nearly every nuclear receptor for which the natural ligand has been identified. However, because of the complexity of signal transduction by this class of ligand-regulated transcription factors, few of these drugs have been optimized for pharmaceutical effectiveness. Over the past several years, structural and biochemical work has shed light on some of the ligand-induced features of nuclear receptors that enable them to trigger signal transduction cascades. This review will highlight the use of peptide interactions to cluster different classes of ligands and to identify novel nuclear receptor-modulating ligands as potential drug candidates. Phage display and a multiplexed peptide interaction assay are two of the technologies that are key to this approach. When used as part of a drug discovery platform, this type of biochemical characterization can bridge the gap between high-throughput chemical synthesis and disease model testing. Furthermore, the development of these methodologies is timely because there is a significant medical need for new and improved nuclear receptor drugs that retain beneficial effects but do not have undesired side effect activities.
目前,对于几乎每一种已确定天然配体的核受体,都有一种已上市的药物。然而,由于这类配体调节转录因子的信号转导过程复杂,这些药物中很少有在药学有效性方面得到优化的。在过去几年中,结构和生化研究揭示了核受体的一些配体诱导特征,这些特征使它们能够触发信号转导级联反应。本综述将重点介绍利用肽相互作用对不同类别的配体进行聚类,并识别新型核受体调节配体作为潜在药物候选物。噬菌体展示和多重肽相互作用分析是这种方法的两个关键技术。当作为药物发现平台的一部分使用时,这种生化表征可以弥合高通量化学合成与疾病模型测试之间的差距。此外,这些方法的开发恰逢其时,因为对于新型且改进的核受体药物有重大医疗需求,这类药物要保留有益效果但不具有不良副作用。