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Statistical Removal of Background Signals from High-throughput 1H NMR Line-broadening Ligand-affinity Screens

机译:从高通量1H NMR线配体亲和力筛选中背景信号的统计去除

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摘要

NMR ligand-affinity screens are vital to drug discovery, are routinely used to screen fragment-based libraries, and used to verify chemical leads from high-throughput assays and virtual screens. NMR ligand-affinity screens are also a highly informative first step towards identifying functional epitopes of unknown proteins, as well as elucidating the biochemical functions of protein-ligand interaction at their binding interfaces. While simple one-dimensional (1D) 1H NMR experiments are capable of indicating binding through a change in ligand line shape, they are plagued by broad, ill-defined background signals from protein 1H resonances. We present an uncomplicated method for subtraction of protein background in high-throughput ligand-based affinity screens, and show that its performance is maximized when phase-scatter correction (PSC) is applied prior to subtraction.
机译:NMR配体亲和力筛选对于药物发现至关重要,通常用于筛选基于片段的文库,并用于验证来自高通量检测和虚拟筛选的化学线索。 NMR配体亲和力筛选也是鉴定未知蛋白质功能性表位以及阐明蛋白质-配体在其结合界面处的生化功能的第一步,该步骤非常有用。尽管简单的一维(1D) 1 H NMR实验能够通过配体线形的变化指示结合,但它们却受到蛋白质 1 < / sup> H共振。我们提出了一种简单的方法,用于在基于高通量配体的亲和力筛选中扣除蛋白质背景,并显示了当相减校正(PSC)在扣除之前应用时,其性能得到了最大化。

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