Suppr超能文献

DNA 编码化学库的选择方法的演变。

Evolution of the Selection Methods of DNA-Encoded Chemical Libraries.

机构信息

Department of Chemistry and the State Key Laboratory of Synthetic Chemistry, The University of Hong Kong, Pokfulam Road, Hong Kong SAR, China.

Laboratory for Synthetic Chemistry and Chemical Biology Limited, Health@InnoHK, Innovation and Technology Commission, Units 1503-1511, 15/F, Building 17W, Hong Kong Science and Technology Parks, New Territories, Hong Kong SAR, China.

出版信息

Acc Chem Res. 2021 Sep 7;54(17):3491-3503. doi: 10.1021/acs.accounts.1c00375. Epub 2021 Aug 24.

Abstract

In the past two decades, a DNA-encoded chemical library (DEL or DECL) has emerged and has become a major technology platform for ligand discovery in drug discovery as well as in chemical biology research. Although based on a simple concept, i.e., encoding each compound with a unique DNA tag in a combinatorial chemical library, DEL has been proven to be a powerful tool for interrogating biological targets by accessing vast chemical space at a fraction of the cost of traditional high-throughput screening (HTS). Moreover, the recent technological advances and rapid developments of DEL-compatible reactions have greatly enhanced the chemical diversity of DELs. Today, DELs have been adopted by nearly all major pharmaceutical companies and are also gaining momentum in academia. However, this field is heavily biased toward library encoding and synthesis, and an underexplored aspect of DEL research is the selection methods. Generally, DEL selection is considered to be a massive binding assay conducted over an immobilized protein to identify the physical binders using the typical bind-wash-elute procedure. In recent years, we and other research groups have developed new approaches that can perform DEL selections in the solution phase, which has enabled the selection against complex biological targets beyond purified proteins. On the one hand, these methods have significantly widened the target scope of DELs; on the other hand, they have enabled the functional and potentially phenotypic assays of DELs beyond simple binding. An overview of these methods is provided in this Account.Our laboratory has been using DNA-programmed affinity labeling (DPAL) as the main strategy to develop new DEL selection methods. DPAL is based on DNA-templated synthesis; by using a known ligand to guide the target binding, DPAL is able to specifically establish a stable linkage between the target protein and the ligand. The DNA tag of the target-ligand conjugates serves as a programmable handle for protein characterization or hit compound decoding in the case of DEL selections. DPAL also takes advantage of the fast reaction kinetics of photo-cross-linking to achieve high labeling specificity and fidelity, especially in the selection of DNA-encoded dynamic libraries (DEDLs). DPAL has enabled DEL selections not only in buffer and cell lysates but also with complex biological systems, such as large protein complexes and live cells. Moreover, this strategy has also been employed in other biological applications, such as site-specific protein labeling, protein detection, protein profiling, and target identification. In the Account, we describe these methods, highlight their underlying principles, and conclude with perspectives of the development of the DEL technology.

摘要

在过去的二十年中,DNA 编码化合物库(DEL 或 DECL)已经出现,并已成为药物发现和化学生物学研究中配体发现的主要技术平台。尽管基于一个简单的概念,即在组合化学库中用独特的 DNA 标签对每个化合物进行编码,但 DEL 已被证明是一种通过访问生物靶标广阔的化学空间来探测生物靶标的强大工具,成本仅为传统高通量筛选(HTS)的一小部分。此外,最近的技术进步和 DEL 兼容反应的快速发展极大地提高了 DEL 的化学多样性。如今,几乎所有大型制药公司都采用了 DEL,学术界也在迎头赶上。然而,该领域严重偏向于文库编码和合成,DEL 研究中一个未被充分探索的方面是选择方法。一般来说,DEL 选择被认为是在固定化蛋白质上进行的大规模结合测定,以使用典型的结合-洗涤-洗脱程序来鉴定物理结合物。近年来,我们和其他研究小组开发了新的方法,可以在溶液相中进行 DEL 选择,这使得可以针对超出纯化蛋白质的复杂生物靶标进行选择。一方面,这些方法大大拓宽了 DEL 的靶标范围;另一方面,它们使 DEL 超越简单结合进行功能和潜在表型测定成为可能。本文对这些方法进行了概述。我们实验室一直将 DNA 编程亲和标记(DPAL)作为开发新的 DEL 选择方法的主要策略。DPAL 基于 DNA 模板合成;通过使用已知配体引导靶标结合,DPAL 能够在靶标蛋白和配体之间特异性建立稳定的连接。靶标-配体缀合物的 DNA 标签可作为蛋白质特征描述或 DEL 选择情况下命中化合物解码的可编程处理。DPAL 还利用光交联的快速反应动力学来实现高标记特异性和保真度,特别是在 DNA 编码动态文库(DEDL)的选择中。DPAL 不仅可以在缓冲液和细胞裂解物中进行 DEL 选择,还可以在复杂的生物系统中进行,例如大型蛋白质复合物和活细胞。此外,该策略还应用于其他生物应用,例如定点蛋白质标记、蛋白质检测、蛋白质谱分析和靶标鉴定。在本报告中,我们描述了这些方法,强调了它们的基本原则,并对 DEL 技术的发展进行了展望。

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