Department of Chemistry, Graduate School of Science, The University of Tokyo, 7-3-1 Hongo, Tokyo 113-0033, Japan.
Department of Chemistry, University of Oxford, Chemistry Research Laboratory, 12 Mansfield Road, Oxford OX1 3TA, United Kingdom; Division of Cardiovascular Medicine, Radcliffe Department of Medicine, University of Oxford, Wellcome Trust Centre for Human Genetics, Roosevelt Drive, Oxford OX3 7BN, United Kingdom.
Bioorg Med Chem. 2018 Mar 15;26(6):1225-1231. doi: 10.1016/j.bmc.2018.01.013. Epub 2018 Jan 31.
The combination of genetic code reprogramming and mRNA display is a powerful approach for the identification of macrocyclic peptides with high affinities to a target of interest. We have previously used such an approach to identify a potent inhibitor (CP2) of the human KDM4A and KDM4C lysine demethylases; important regulators of gene expression. In the present study, we have used genetic code reprogramming to synthesise very high diversity focused libraries (>10 compounds) based on CP2 and, through affinity screening, used these to delineate the structure activity relationship of CP2 binding to KDM4A. In the course of these experiments we identified a CP2 analogue (CP2f-7) with ∼4-fold greater activity than CP2 in in vitro inhibition assays. This work will facilitate the development of more potent, selective inhibitors of lysine demethylases.
基因密码重编程和 mRNA 展示的结合是一种强大的方法,可用于鉴定与目标具有高亲和力的大环肽。我们之前曾使用这种方法来鉴定人类 KDM4A 和 KDM4C 赖氨酸去甲基酶的有效抑制剂 (CP2);这是基因表达的重要调节剂。在本研究中,我们使用基因密码重编程来合成基于 CP2 的高度多样化的聚焦文库(>10 种化合物),并通过亲和筛选,利用这些文库来描绘 CP2 与 KDM4A 结合的结构活性关系。在这些实验过程中,我们鉴定出一种 CP2 类似物(CP2f-7),其在体外抑制测定中的活性比 CP2 高约 4 倍。这项工作将有助于开发更有效、更具选择性的赖氨酸去甲基酶抑制剂。