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首页> 外文期刊>Proteins: Structure, Function, and Genetics >Principal component analysis of chemical shift perturbation data of a multiple-ligand-binding system for elucidation of respective binding mechanism
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Principal component analysis of chemical shift perturbation data of a multiple-ligand-binding system for elucidation of respective binding mechanism

机译:多配体结合系统化学位移扰动数据的主成分分析,以阐明各自的结合机制

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Chemical shift perturbations (CSPs) in NMR spectra provide useful information about the interaction of a protein with its ligands. However, in a multiple-ligand-binding system, determining quantitative parameters such as a dissociation constant (Kd) is difficult. Here, we used a method we named CS-PCA, a principal component analysis (PCA) of chemical shift (CS) data, to analyze the interaction between bovine β-lactoglobulin (βLG) and 1-anilinonaphthalene-8-sulfonate (ANS), which is a multiple-ligand-binding system. The CSP on the binding of ANS involved contributions from two distinct binding sites. PCA of the titration data successfully separated the CSP pattern into contributions from each site. Docking simulations based on the separated CSP patterns provided the structures of βLG-ANS complexes for each binding site. In addition, we determined the Kd values as 3.42 × 10-4M2 and 2.51 × 10-3M for Sites 1 and 2, respectively. In contrast, it was difficult to obtain reliable Kd values for respective sites from the isothermal titration calorimetry experiments. Two ANS molecules were found to bind at Site 1 simultaneously, suggesting that the binding occurs cooperatively with a partial unfolding of the βLG structure. On the other hand, the binding of ANS to Site 2 was a simple attachment without a significant conformational change. From the present results, CS-PCA was confirmed to provide not only the positions and the Kd values of binding sites but also information about the binding mechanism. Thus, it is anticipated to be a general method to investigate protein-ligand interactions.
机译:NMR光谱中的化学位移扰动(CSP)提供了有关蛋白质与其配体相互作用的有用信息。然而,在多配体结合系统中,难以确定定量参数,例如解离常数(Kd)。在这里,我们使用一种名为CS-PCA的方法,即化学位移(CS)数据的主成分分析(PCA),来分析牛β-乳球蛋白(βLG)与1-苯胺基萘-8-磺酸盐(ANS)之间的相互作用,这是一个多配体结合系统。关于ANS结合的CSP涉及两个不同结合位点的贡献。滴定数据的PCA成功地将CSP模式分离为每个位置的贡献。基于分离的CSP模式的对接模拟为每个结合位点提供了βLG-ANS复合物的结构。此外,我们确定站点1和站点2的Kd值分别为3.42×10-4M2和2.51×10-3M。相反,从等温滴定量热法实验难以获得各个部位的可靠Kd值。发现两个ANS分子同时在位点1结合,表明结合与βLG结构的部分展开协同发生。另一方面,ANS与站点2的绑定是一个简单的附件,没有明显的构象变化。从目前的结果,证实CS-PCA不仅提供结合位点的位置和Kd值,而且提供有关结合机理的信息。因此,预期将是研究蛋白质-配体相互作用的通用方法。

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