Suppr超能文献

DNA 编码化学库筛选发现高效且选择性的 BMPR2 激酶抑制剂。

Discovery of Highly Potent and BMPR2-Selective Kinase Inhibitors Using DNA-Encoded Chemical Library Screening.

机构信息

Center for Drug Discovery, Department of Pathology & Immunology, Baylor College of Medicine, Houston, Texas77030, United States.

Department of Pharmacology and Chemical Biology, Baylor College of Medicine, Houston, Texas77030, United States.

出版信息

J Med Chem. 2023 Feb 9;66(3):2143-2160. doi: 10.1021/acs.jmedchem.2c01886. Epub 2023 Jan 31.

Abstract

The discovery of monokinase-selective inhibitors for patients is challenging because the 500+ kinases encoded by the human genome share highly conserved catalytic domains. Until now, no selective inhibitors unique for a single transforming growth factor β (TGFβ) family transmembrane receptor kinase, including bone morphogenetic protein receptor type 2 (BMPR2), have been reported. This dearth of receptor-specific kinase inhibitors hinders therapeutic options for skeletal defects and cancer as a result of an overactivated BMP signaling pathway. By screening 4.17 billion "unbiased" and "kinase-biased" DNA-encoded chemical library molecules, we identified hits and respectively, that were low-nanomolar selective kinase inhibitors of BMPR2. Structure-activity relationship studies addressed metabolic lability and high-molecular-weight issues, resulting in potent and BMPR2-selective inhibitor analogs (IC = 1.2 nM) and (IC = 2.8 nM), respectively. Our work demonstrates that DNA-encoded chemistry technology (DEC-Tec) is reliable for identifying novel first-in-class, highly potent, and selective kinase inhibitors.

摘要

发现对患者具有单激酶选择性的抑制剂具有挑战性,因为人类基因组编码的 500 多种激酶具有高度保守的催化结构域。到目前为止,还没有报道过针对单个转化生长因子β(TGFβ)家族跨膜受体激酶(包括骨形态发生蛋白受体 2(BMPR2))的选择性抑制剂。由于 BMP 信号通路的过度激活,缺乏受体特异性激酶抑制剂会阻碍骨骼缺陷和癌症的治疗选择。通过筛选 41.7 亿个“无偏见”和“激酶偏向”的 DNA 编码化学文库分子,我们分别鉴定到了 和 ,它们是低纳摩尔级别的 BMPR2 选择性激酶抑制剂。结构活性关系研究解决了代谢不稳定性和高分子量问题,从而得到了有效的 BMPR2 选择性抑制剂类似物 (IC = 1.2 nM)和 (IC = 2.8 nM)。我们的工作表明,DNA 编码化学技术(DEC-Tec)可可靠地识别新型首创、高效且选择性的激酶抑制剂。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/253a/9924264/523d574db8b7/jm2c01886_0002.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验