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NMRmix:一种用于在一维(1)H NMR配体亲和力筛选中优化化合物混合物的工具。

NMRmix: A Tool for the Optimization of Compound Mixtures in 1D (1)H NMR Ligand Affinity Screens.

作者信息

Stark Jaime L, Eghbalnia Hamid R, Lee Woonghee, Westler William M, Markley John L

机构信息

National Magnetic Resonance Facility at Madison, University of Wisconsin , Madison, Wisconsin 53706, United States.

出版信息

J Proteome Res. 2016 Apr 1;15(4):1360-8. doi: 10.1021/acs.jproteome.6b00121. Epub 2016 Mar 23.

Abstract

NMR ligand affinity screening is a powerful technique that is routinely used in drug discovery or functional genomics to directly detect protein-ligand binding events. Binding events can be identified by monitoring differences in the 1D (1)H NMR spectrum of a compound with and without protein. Although a single NMR spectrum can be collected within a short period (2-10 min per sample), one-by-one screening of a protein against a library of hundreds or thousands of compounds requires a large amount of spectrometer time and a large quantity of protein. Therefore, compounds are usually evaluated in mixtures ranging in size from 3 to 20 compounds to improve the efficiency of these screens in both time and material. Ideally, the NMR signals from individual compounds in the mixture should not overlap so that spectral changes can be associated with a particular compound. We have developed a software tool, NMRmix, to assist in creating ideal mixtures from a large panel of compounds with known chemical shifts. Input to NMRmix consists of an (1)H NMR peak list for each compound, a user-defined overlap threshold, and additional user-defined parameters if default settings are not used. NMRmix utilizes a simulated annealing algorithm to optimize the composition of the mixtures to minimize spectral peak overlaps so that each compound in the mixture is represented by a maximum number of nonoverlapping chemical shifts. A built-in graphical user interface simplifies data import and visual evaluation of the results.

摘要

核磁共振配体亲和力筛选是一种强大的技术,在药物发现或功能基因组学中经常使用,用于直接检测蛋白质 - 配体结合事件。结合事件可以通过监测有蛋白质和无蛋白质时化合物的一维(1)H核磁共振谱的差异来识别。虽然单个核磁共振谱可以在短时间内收集(每个样品2 - 10分钟),但针对数百或数千种化合物库对一种蛋白质进行逐一筛选需要大量的光谱仪时间和大量的蛋白质。因此,通常对3至20种化合物的混合物进行化合物评估,以提高这些筛选在时间和材料方面的效率。理想情况下,混合物中各个化合物的核磁共振信号不应重叠,以便光谱变化可以与特定化合物相关联。我们开发了一个软件工具NMRmix,以帮助从大量具有已知化学位移的化合物中创建理想的混合物。NMRmix的输入包括每种化合物的(1)H核磁共振峰列表、用户定义的重叠阈值,以及如果不使用默认设置时的其他用户定义参数。NMRmix利用模拟退火算法优化混合物的组成,以最小化光谱峰重叠,从而使混合物中的每种化合物由最大数量的不重叠化学位移表示。内置的图形用户界面简化了数据导入和结果的可视化评估。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2dc2/4820789/41b239a9bfa5/pr-2016-00121e_0003.jpg

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