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二维差示强度分析方法的建立与验证及其在蛋白检测 NMR 筛选化学库中的应用。

Development and Validation of 2D Difference Intensity Analysis for Chemical Library Screening by Protein-Detected NMR Spectroscopy.

机构信息

Department of Biochemistry, Medical College of Wisconsin, 8701 Watertown Plank Road, Milwaukee, WI, 53226, USA.

出版信息

Chembiochem. 2018 Mar 2;19(5):448-458. doi: 10.1002/cbic.201700386. Epub 2018 Jan 25.

Abstract

An academic chemical screening approach was developed by using 2D protein-detected NMR, and a 352-chemical fragment library was screened against three different protein targets. The approach was optimized against two protein targets with known ligands: CXCL12 and BRD4. Principal component analysis reliably identified compounds that induced nonspecific NMR crosspeak broadening but did not unambiguously identify ligands with specific affinity (hits). For improved hit detection, a novel scoring metric-difference intensity analysis (DIA)-was devised that sums all positive and negative intensities from 2D difference spectra. Applying DIA quickly discriminated potential ligands from compounds inducing nonspecific NMR crosspeak broadening and other nonspecific effects. Subsequent NMR titrations validated chemotypes important for binding to CXCL12 and BRD4. A novel target, mitochondrial fission protein Fis1, was screened, and six hits were identified by using DIA. Screening these diverse protein targets identified quinones and catechols that induced nonspecific NMR crosspeak broadening, hampering NMR analyses, but are currently not computationally identified as pan-assay interference compounds. The results established a streamlined screening workflow that can easily be scaled and adapted as part of a larger screening pipeline to identify fragment hits and assess relative binding affinities in the range of 0.3-1.6 mm. DIA could prove useful in library screening and other applications in which NMR chemical shift perturbations are measured.

摘要

采用二维蛋白质检测 NMR 建立了一种学术化学筛选方法,并针对三种不同的蛋白质靶标筛选了 352 种化学片段文库。该方法针对两种具有已知配体的蛋白质靶标进行了优化:CXCL12 和 BRD4。主成分分析可靠地识别出诱导非特异性 NMR 峰宽变宽的化合物,但不能明确识别具有特异性亲和力(命中)的配体。为了提高命中检测的准确性,设计了一种新的评分指标——差分强度分析(DIA),它汇总了二维差谱中的所有正、负强度。应用 DIA 可以快速区分潜在配体与诱导非特异性 NMR 峰宽变宽和其他非特异性效应的化合物。随后的 NMR 滴定验证了与 CXCL12 和 BRD4 结合的重要化学型。筛选了一种新的靶标,即线粒体分裂蛋白 Fis1,并用 DIA 鉴定了 6 个命中。通过筛选这些不同的蛋白质靶标,鉴定出了诱导非特异性 NMR 峰宽变宽的醌类和儿茶酚类化合物,这会干扰 NMR 分析,但目前尚未通过计算方法识别为泛分析干扰化合物。该结果建立了一种简化的筛选工作流程,可以轻松扩展和适应更大的筛选管道,以鉴定片段命中并评估 0.3-1.6 mm 范围内的相对结合亲和力。DIA 可能在文库筛选和其他需要测量 NMR 化学位移扰动的应用中非常有用。

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