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用于药物发现的DNA编码文库中的合理设计策略。

Rational Design Strategies in DNA-Encoded Libraries for Drug Discovery.

作者信息

Wang Xudong, Li Linjie, Shen Xuanjing, Lu Xiaojie

机构信息

State Key Laboratory of Drug Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, 555 Zuchongzhi Road, Shanghai, 201203, P.R. China.

University of Chinese Academy of Sciences, Beijing, 100049, P.R. China.

出版信息

Angew Chem Int Ed Engl. 2025 Aug 18;64(34):e202511839. doi: 10.1002/anie.202511839. Epub 2025 Jul 25.

Abstract

DNA-encoded libraries (DELs) have emerged as a powerful and cost-effective platform for high-throughput screening, enabling the rapid identification of small-molecule ligands against a wide range of biological targets. However, traditional DEL approaches often rely on empirical and broad-based library construction, which can lead to low hit rates, off-target interactions, and limited chemical diversity around pharmaceutically relevant motifs. Recent technological advances have sought to address these limitations, shifting DELs from a largely blind screening tool to a more rational and precision-oriented strategy. In this review, we systematically examine the evolution of DEL methodologies, with a particular focus on innovations in library design that enhance hit quality and screening efficiency. Specifically, we highlight the emergence of fragment-based DEL strategies for exploring chemical space with minimal structures, the incorporation of covalent warheads to enable irreversible binding to specific residues, and the development of focused DELs tailored to particular protein families or binding motifs. Together, these advances mark a shift from blind, empirical screening toward a more strategic and hypothesis-driven application of DEL technology.

摘要

DNA编码文库(DELs)已成为一种强大且具有成本效益的高通量筛选平台,能够快速鉴定针对多种生物靶点的小分子配体。然而,传统的DEL方法通常依赖于经验性和广泛的文库构建,这可能导致命中率低、脱靶相互作用以及药物相关基序周围的化学多样性有限。最近的技术进步试图解决这些局限性,将DELs从一种主要的盲目筛选工具转变为一种更合理、更注重精准度的策略。在本综述中,我们系统地研究了DEL方法的演变,特别关注文库设计方面的创新,这些创新提高了命中质量和筛选效率。具体而言,我们强调了基于片段的DEL策略的出现,该策略以最小的结构探索化学空间;引入共价弹头以实现与特定残基的不可逆结合;以及针对特定蛋白质家族或结合基序定制的聚焦DELs的开发。这些进展共同标志着从盲目、经验性筛选向更具战略性和假设驱动的DEL技术应用的转变。

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