探索开发半胱氨酸靶向共价激酶抑制剂的扩展弹头。

IF 5.6 2区 化学 Q1 CHEMISTRY, MEDICINAL
Zheng Zhao, Philip E Bourne
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引用次数: 0

摘要

在设计共价激酶抑制剂(CKIs)时,包含亲电试剂作为攻击弹头需要仔细编排,不仅要确保它们存在于支架部分上,还要确保它们与结合位点上的亲核试剂精确相互作用。鉴于已知的亲电试剂数量有限,探索邻近的化学空间以扩大可用的具有共价抑制作用的亲电试剂的调色板是可取的。本文系统分析了弹头及其相邻破片的特性,为CKI设计提供参考。我们首先从多个数据库中收集了所有释放的半胱氨酸靶向CKI,并创建了一个CKI数据集,其中包含来自12,381个独特CKI的16,961个激酶抑制剂数据点,涵盖146种激酶,其结合口袋中有可访问的半胱氨酸。然后,我们分析了该数据集,重点关注扩展弹头(即弹头+邻近破片)──包括30个普通弹头和1344个独特的邻近破片。在这样做的过程中,我们提供了结构的见解,并描绘了这些扩展弹头的化学性质和模式。值得注意的是,我们强调了在流行弹头氰丙烯酰胺和醛的可逆CKIs中观察到的流行模式。该研究为药物化学家提供了对扩展战斗部和相邻碎片的综合来源的新见解,从而指导了CKIs的设计、合成和优化。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Exploring Extended Warheads toward Developing Cysteine-Targeted Covalent Kinase Inhibitors.

In designing covalent kinase inhibitors (CKIs), the inclusion of electrophiles as attacking warheads demands careful choreography, ensuring not only their presence on the scaffold moiety but also their precise interaction with nucleophiles in the binding sites. Given the limited number of known electrophiles, exploring adjacent chemical space to broaden the palette of available electrophiles capable of covalent inhibition is desirable. Here, we systematically analyze the characteristics of warheads and the corresponding adjacent fragments for use in CKI design. We first collect all the released cysteine-targeted CKIs from multiple databases and create one CKI data set containing 16,961 kinase-inhibitor data points from 12,381 unique CKIs covering 146 kinases with accessible cysteines in their binding pockets. Then, we analyze this data set, focusing on the extended warheads (i.e., warheads + adjacent fragments)─including 30 common warheads and 1344 unique adjacent fragments. In so doing, we provide structural insights and delineate chemical properties and patterns in these extended warheads. Notably, we highlight the popular patterns observed within reversible CKIs for the popular warheads cyanoacrylamide and aldehyde. This study provides medicinal chemists with novel insights into extended warheads and a comprehensive source of adjacent fragments, thus guiding the design, synthesis, and optimization of CKIs.

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来源期刊
CiteScore
9.80
自引率
10.70%
发文量
529
审稿时长
1.4 months
期刊介绍: The Journal of Chemical Information and Modeling publishes papers reporting new methodology and/or important applications in the fields of chemical informatics and molecular modeling. Specific topics include the representation and computer-based searching of chemical databases, molecular modeling, computer-aided molecular design of new materials, catalysts, or ligands, development of new computational methods or efficient algorithms for chemical software, and biopharmaceutical chemistry including analyses of biological activity and other issues related to drug discovery. Astute chemists, computer scientists, and information specialists look to this monthly’s insightful research studies, programming innovations, and software reviews to keep current with advances in this integral, multidisciplinary field. As a subscriber you’ll stay abreast of database search systems, use of graph theory in chemical problems, substructure search systems, pattern recognition and clustering, analysis of chemical and physical data, molecular modeling, graphics and natural language interfaces, bibliometric and citation analysis, and synthesis design and reactions databases.
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