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基于混合物的聚焦组合文库的 NMR 筛选:在抗凋亡蛋白 hMcl-1 中的应用。

Mixture-Based Screening of Focused Combinatorial Libraries by NMR: Application to the Antiapoptotic Protein hMcl-1.

机构信息

Division of Biomedical Sciences, School of Medicine, University of California Riverside, 900 University Avenue, Riverside, California 92521, United States.

出版信息

J Med Chem. 2023 Jul 27;66(14):10108-10118. doi: 10.1021/acs.jmedchem.3c01073. Epub 2023 Jul 18.

Abstract

We report on an innovative ligand discovery strategy based on protein NMR-based screening of a combinatorial library of ∼125,000 compounds that was arranged in 96 distinct mixtures. Using sensitive solution protein NMR spectroscopy and chemical perturbation-based screening followed by an iterative synthesis, deconvolutions, and optimization strategy, we demonstrate that the approach could be useful in the identification of initial binding molecules for difficult drug targets, such as those involved in protein-protein interactions. As an application, we will report novel agents targeting the Bcl-2 family protein hMcl-1. The approach is of general applicability and could be deployed as an effective screening strategy for de novo identification of ligands, particularly when tackling targets involved in protein-protein interactions.

摘要

我们报告了一种基于蛋白质 NMR 筛选组合文库的创新配体发现策略,该文库包含约 125000 种化合物,排列在 96 种不同的混合物中。我们使用灵敏的溶液蛋白 NMR 光谱学和基于化学扰动的筛选,然后进行迭代合成、去卷积和优化策略,证明该方法可用于鉴定难以成药的靶标(如涉及蛋白质-蛋白质相互作用的靶标)的初始结合分子。作为一个应用,我们将报告针对 Bcl-2 家族蛋白 hMcl-1 的新型试剂。该方法具有普遍适用性,可作为从头鉴定配体的有效筛选策略,特别是在涉及蛋白质-蛋白质相互作用的靶标时。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/da67/10388297/ff03b03d80d9/jm3c01073_0002.jpg

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