Suppr超能文献

近年来 CK2 变构抑制剂发现的进展:从传统筛选到基于结构的设计。

Recent Advances in the Discovery of CK2 Allosteric Inhibitors: From Traditional Screening to Structure-Based Design.

机构信息

Jiangsu Agri-animal Husbandry Vocational College, Taizhou 225300, China.

Beijing Key Laboratory of Environmental & Viral Oncology, College of Life Science and Bioengineering, Beijing University of Technology, Beijing 100124, China.

出版信息

Molecules. 2020 Feb 16;25(4):870. doi: 10.3390/molecules25040870.

Abstract

Protein kinase (CK2) has emerged as an attractive cancer therapeutic target and recent efforts have been made to develop its inhibitors. However, the development of selective inhibitors remains challenging because of the highly conserved ATP-binding pocket (orthosteric site) of kinase family. As an alternative strategy, allosteric inhibitors, by targeting the much more diversified allosteric site relative to the conserved ATP-binding site, achieve better pharmacological advantages than orthosteric inhibitors. Traditional serendipitous screening and structure-based design are robust tools for the discovery of CK2 allosteric inhibitors. In this review, we summarize the recent advances in the identification of CK2 allosteric inhibitors. Firstly, we briefly present the CK2 allosteric sites. Then, the allosteric inhibitors targeting the well-elucidated allosteric sites (α/β interface, αD pocket and interface between the Glycine-rich loop and αC-helix) are highlighted in the discovery process and possible binding modes with the allosteric sites are described. This study is expected to provide valuable clues for the design of CK2 allosteric inhibitors.

摘要

蛋白激酶(CK2)已成为一种有吸引力的癌症治疗靶点,最近人们努力开发其抑制剂。然而,由于激酶家族的高度保守的 ATP 结合口袋(正位点),选择性抑制剂的开发仍然具有挑战性。作为一种替代策略,变构抑制剂通过针对相对于保守的 ATP 结合位点更加多样化的变构位点,相对于正位点抑制剂具有更好的药理学优势。传统的偶然筛选和基于结构的设计是发现 CK2 变构抑制剂的强大工具。在这篇综述中,我们总结了最近在鉴定 CK2 变构抑制剂方面的进展。首先,我们简要介绍了 CK2 的变构位点。然后,重点介绍了在发现过程中针对明确的变构位点(α/β 界面、αD 口袋和富含甘氨酸环与αC-螺旋之间的界面)的变构抑制剂,以及与变构位点的可能结合模式。这项研究有望为 CK2 变构抑制剂的设计提供有价值的线索。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/87f5/7070378/d82254b3d08b/molecules-25-00870-g001.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