由蛋白质和核酸指导的动态组合化学:药物发现的有力工具

IF 40.4 1区 化学 Q1 CHEMISTRY, MULTIDISCIPLINARY
Antonio Aguanell, Marc Hennebelle, Miguel Ángel Ortega, Ruth Pérez-Fernández
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引用次数: 0

摘要

蛋白质导向的动态组合化学(P-D - DCC)是识别具有药理意义的蛋白质靶点配体的有力策略。它利用热力学模板效应,蛋白质选择性地放大高亲和力结合物。相比之下,尽管核酸在基因调控和疾病中发挥着关键作用,并提供了巨大的治疗潜力,但它们在药物发现方面仍未得到充分开发。虽然P-D DCC得到了广泛的应用,但核酸导向的动态组合化学(NA-D DCC)的应用相对有限。扩大这些方法对于应对新出现的传染病和推进治疗发展至关重要。本文综述了应用、实验设计考虑、最新进展以及P-D DCC和NA-D DCC的前景。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Dynamic combinatorial chemistry directed by proteins and nucleic acids: a powerful tool for drug discovery

Dynamic combinatorial chemistry directed by proteins and nucleic acids: a powerful tool for drug discovery
Protein-directed dynamic combinatorial chemistry (P-D DCC) is a powerful strategy for identifying ligands to protein targets of pharmacological significance. It leverages a thermodynamic templated effect, where proteins selectively amplify high-affinity binders. In contrast, although nucleic acids play critical roles in gene regulation and disease and offer significant therapeutic potential, they remain underexplored in drug discovery. While P-D DCC has been widely applied, the use of nucleic acid-directed dynamic combinatorial chemistry (NA-D DCC) is relatively limited. Expanding these methodologies is essential for tackling emerging infectious diseases and advancing therapeutic development. This review examines the applications, experimental design considerations, recent advancements, and P-D DCC and NA-D DCC perspectives.
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来源期刊
Chemical Society Reviews
Chemical Society Reviews 化学-化学综合
CiteScore
80.80
自引率
1.10%
发文量
345
审稿时长
6.0 months
期刊介绍: Chemical Society Reviews is published by: Royal Society of Chemistry. Focus: Review articles on topics of current interest in chemistry; Predecessors: Quarterly Reviews, Chemical Society (1947–1971); Current title: Since 1971; Impact factor: 60.615 (2021); Themed issues: Occasional themed issues on new and emerging areas of research in the chemical sciences
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