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使用宽带 F NMR 筛选技术对化学空间进行全面高通量的探索。

Comprehensive and High-Throughput Exploration of Chemical Space Using Broadband F NMR-Based Screening.

机构信息

Global Discovery Chemistry, Novartis Institutes for BioMedical Research, 5300 Chiron Way, Emeryville, CA, 94608, USA.

Global Discovery Chemistry, Novartis Institutes for BioMedical Research, Novartis Campus, 4056, Basel, Switzerland.

出版信息

Angew Chem Int Ed Engl. 2020 Aug 24;59(35):14809-14817. doi: 10.1002/anie.202002463. Epub 2020 Jun 22.

Abstract

Fragment-based lead discovery has become a fundamental approach to identify ligands that efficiently interact with disease-relevant targets. Among the numerous screening techniques, fluorine-detected NMR has gained popularity owing to its high sensitivity, robustness, and ease of use. To effectively explore chemical space, a universal NMR experiment, a rationally designed fragment library, and a sample composition optimized for a maximal number of compounds and minimal measurement time are required. Here, we introduce a comprehensive method that enabled the efficient assembly of a high-quality and diverse library containing nearly 4000 fragments and screening for target-specific binders within days. At the core of the approach is a novel broadband relaxation-edited NMR experiment that covers the entire chemical shift range of drug-like F motifs in a single measurement. Our approach facilitates the identification of diverse binders and the fast ligandability assessment of new targets.

摘要

基于片段的先导化合物发现已成为一种识别与疾病相关靶点有效相互作用配体的基本方法。在众多筛选技术中,氟检测 NMR 因其高灵敏度、稳健性和易用性而受到青睐。为了有效地探索化学空间,需要一种通用的 NMR 实验、一个经过合理设计的片段文库,以及一个针对最大数量化合物和最小测量时间优化的样品组成。在这里,我们介绍了一种综合方法,该方法能够高效组装一个高质量且多样化的文库,其中包含近 4000 个片段,并在数天内筛选出针对特定靶标的结合物。该方法的核心是一种新的宽带弛豫编辑 NMR 实验,该实验在单次测量中覆盖了整个类似药物的 F 基元的化学位移范围。我们的方法有助于识别不同的结合物,并快速评估新靶标的配体能力。

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