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Optimization of the interligand Overhauser effect for fragment linking:Application to inhibitor discovery against Mycobacterium tuberculosis pantothenate synthetase

机译:片段连接的配体Overhauser效应的优化:在发现抗结核分枝杆菌泛酸合成酶的抑制剂中的应用

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摘要

Fragment-based methods are a new and emerging approach for the discovery of protein binders that are potential new therapeutic agents. Several ways of utilizing structural information to guide the inhibitor assembly have been explored to date. One of the approaches, application of interligand Overhauser effect (ILOE) observations, is of particular interest, as it does not require the availability of a three-dimensional protein structure and is an NMR-based method that can be applied to targets that cannot be observed directly because of their size. Fragments, as small and often hydrophobic molecules, suffer from problems including compound aggregation in an aqueous environment and nonspecific binding contributions, especially when screened at higher concentrations suitable for ILOE observations. Here we report how this problem can be overcome by applying a step-by-step iterative procedure that includes the application of optimized probe molecules with known binding modes to elucidate the unknown binding modes of fragments. An enzyme substrate with well-characterized binding was used as a starting point, and the relative binding modes of modified fragments derived from ILOE observations were used to guide the fragment linking, leading to a potent inhibitor of our model system, Mycobacterium tuberculosis pantothenate synthetase, a potential drug target. We have supported our NMR data with crystal structures, thus establishing the guidelines for optimizing the ILOE observations. This model study should expand the application of the technique in drug discovery.
机译:基于片段的方法是发现潜在的新型治疗药物蛋白结合剂的一种新兴方法。迄今为止,已经探索了几种利用结构信息来指导抑制剂组装的方法。其中一种方法是应用配位体Overhauser效应(ILOE)观察,因为它不需要使用三维蛋白质结构,并且是一种基于NMR的方法,可以应用于无法识别的靶标,因此特别受关注。由于其大小而直接观察到。碎片(通常为小分子,通常为疏水分子)会遇到问题,包括在水性环境中的化合物聚集和非特异性结合作用,尤其是在适合ILOE观察的较高浓度下筛选时。在这里,我们报告了如何通过应用逐步迭代的过程来克服此问题,该过程包括应用具有已知结合模式的优化探针分子来阐明片段的未知结合模式。以具有良好结合特性的酶底物为起点,并使用源自ILOE观察结果的修饰片段的相对结合模式来指导片段连接,从而导致我们模型系统的强效抑制剂结核分枝杆菌泛酸合成酶,潜在的药物目标。我们已经用晶体结构支持了NMR数据,从而建立了优化ILOE观测值的指南。该模型研究应扩大该技术在药物发现中的应用。

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