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A Library Screening Strategy Combining the Concepts of MS Binding Assays and Affinity Selection Mass Spectrometry

机译:结合MS结合测定和亲和力选择质谱概念的图书馆筛选策略

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摘要

The primary objective of early drug development is to identify hits and leads for a target of interest. To achieve this aim, rapid, and reliable screening techniques for a huge number of compounds are needed. Mass spectrometry based binding assays (MS Binding Assays) represent a well-established technique for library screening based on competitive binding experiments revealing active sublibraries due to reduced binding of a reporter ligand and following hit identification for active libraries by deconvolution in further competitive binding experiments. In the present study, we combined the concepts of MS Binding Assays and affinity selection mass spectrometry (ASMS) to improve the efficiency of the hit identification step. In that case, only a single competitive binding experiment is performed that is in the first step analyzed for reduced binding of the reporter ligand and—only if a sublibrary is active—additionally for specific binding of individual library components. Subsequently, affinities of identified hits as well as activities of reduced sublibraries (i.e., all sublibrary components without hit) are assessed in additional competitive binding experiments. We exemplified this screening concept for the identification of ligands addressing the most widespread GABA transporter subtype in the brain (GAT1) studying in the beginning a library composed of 128 and further on a library of 1,280 well-characterized GAT1 inhibitors, drug substances, and pharmacological tool compounds. Determination of sublibraries' activities was done by quantification of bound NO711 as reporter ligand and hit identification for the active ones achieved in a further LC-ESI-MS/MS run in the multiple reaction monitoring mode enabling detection of all sublibrary components followed by hit verification and investigation of reduced sublibraries in further competitive binding experiments. In this way, we could demonstrate that all GAT1 inhibitors reducing reporter ligand binding below 50% at a concentration of 1 μM are detected reliably without generation of false positive or false negative hits. As the described strategy is apart from its reliability also highly efficient, it can be assumed to become a valuable tool in early drug research, especially for membrane integrated drug targets that are often posing problems in established screening techniques.
机译:早期药物开发的主要目标是确定目标感兴趣的点击和线索。为了实现这一目标,需要针对大量化合物的快速,可靠的筛选技术。基于质谱的结合测定法(MS Binding Assays)代表了一种基于竞争性结合实验的成熟筛选技术,该竞争性结合实验揭示了由于报告配体的结合减少而导致的活性亚文库,并在进一步的竞争性结合实验中通过反卷积对活性库进行了命中鉴定。在本研究中,我们结合了MS结合分析和亲和力选择质谱(ASMS)的概念,以提高点击识别步骤的效率。在那种情况下,仅执行单个竞争性结合实验,第一步要分析该结合子与受体配体的结合减少,并且(仅当一个子库是有活性的)另外还要分析单个文库组分的特异性结合。随后,将在其他竞争性绑定实验中评估已确定的匹配项的亲和力以及简化的子库的活动(即所有未命中的子库组件)。我们以这种筛选概念为例来鉴定针对大脑中最广泛的GABA转运蛋白亚型(GAT1)的配体,从一开始就研究了由128个组成的库,并进一步研究了1,280个特征明确的GAT1抑制剂,药物和药理学的库工具化合物。通过定量结合作为报告配体的NO711来确定子库的活性,并通过在多反应监测模式下运行的另一LC-ESI-MS / MS中实现的活性成分的命中鉴定,从而能够检测所有子库组分,然后进行命中验证并在进一步的竞争性绑定实验中研究减少的子库。通过这种方式,我们可以证明在没有产生假阳性或假阴性命中的情况下,可以可靠地检测到所有在1μM浓度下将报告配体结合降低到50%以下的GAT1抑制剂。由于所描述的策略不仅可靠性高而且效率高,因此可以认为它已成为早期药物研究中的重要工具,尤其是对于膜整合药物靶标而言,这些靶标经常在既定的筛选技术中构成问题。

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