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采用 MS 结合分析与亲和选择质谱联用技术筛选结构均一的文库,以针对神经元 GABA 转运体 1 的肟库为实例进行说明。

Combination of MS Binding Assays and affinity selection mass spectrometry for screening of structurally homogenous libraries as exemplified for a focused oxime library addressing the neuronal GABA transporter 1.

机构信息

Faculty of Chemistry and Pharmacy, Department of Pharmacy - Center for Drug Research, Ludwig-Maximilians-Universität München, Munich, Germany.

Faculty of Chemistry and Pharmacy, Department of Pharmacy - Center for Drug Research, Ludwig-Maximilians-Universität München, Munich, Germany.

出版信息

Eur J Med Chem. 2020 Nov 15;206:112598. doi: 10.1016/j.ejmech.2020.112598. Epub 2020 Jul 30.

Abstract

This study presents an efficient screening approach based on combination of mass spectrometry (MS) based binding assays (MS Binding Assays) and affinity selection mass spectrometry (ASMS) customized for screening of structurally homogeneous libraries sharing a common mass spectrometric fragmentation pattern. After reaction of a nipecotic acid derivative possessing a hydroxylamine functionality with aldehydes, the resulting oxime library was screened accordingly toward the GABA transporter subtype 1 (GAT1), a drug target for several neurological disorders. After assessing sublibraries' activities for inhibition of reporter ligand binding, hits in active ones were directly identified. This could be achieved by recording mass transitions for the reporter ligand as well as those predicted for the library components in a single LC-MS/MS run with a triple quadrupole mass spectrometer in the multiple reaction monitoring mode. Identification of hits with a predefined affinity could be reliably accomplished by calculation of IC-values from specific binding concentrations of library constituents and reporter ligand. Application of this strategy revealed six hits, from which two of them were resynthesized for further biological evaluation. Thereby, the best one displayed a pK of 7.38 in MS Binding Assays and a pIC of 6.82 in [H]GABA uptake assays for GAT1.

摘要

本研究提出了一种基于质谱(MS)结合测定(MS Binding Assays)和亲和选择质谱(ASMS)组合的有效筛选方法,专门用于筛选具有共同质谱裂解模式的结构均一文库。在将具有羟胺官能团的哌可酸衍生物与醛反应后,相应地对肟文库进行了 GABA 转运体亚型 1(GAT1)的筛选,GAT1 是几种神经紊乱疾病的药物靶点。在评估亚文库对报告配体结合抑制的活性后,对活性亚文库中的命中物进行了直接鉴定。这可以通过在三重四极杆质谱仪的多重反应监测模式下,在单次 LC-MS/MS 运行中记录报告配体以及库成分的预测质量转移来实现。通过计算库成分和报告配体的特定结合浓度的 IC 值,可以可靠地完成对具有预定义亲和力的命中物的鉴定。该策略的应用揭示了六个命中物,其中两个被重新合成以进行进一步的生物学评估。其中最好的一个在 MS Binding Assays 中显示 pK 值为 7.38,在 [H]GABA 摄取测定中显示 pIC 值为 6.82,用于 GAT1。

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