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对滴定、酰胺氢/氘交换和质谱数据进行建模以获得蛋白质-配体结合常数。

Modeling data from titration, amide H/D exchange, and mass spectrometry to obtain protein-ligand binding constants.

作者信息

Zhu Mei M, Rempel Don L, Gross Michael L

机构信息

Department of Chemistry, Washington University, St, Louis, Missouri 63130, USA.

出版信息

J Am Soc Mass Spectrom. 2004 Mar;15(3):388-97. doi: 10.1016/j.jasms.2003.11.007.

Abstract

We recently reported a new method for quantification of protein-ligand interaction by mass spectrometry, titration and H/D exchange (PLIMSTEX) for determining the binding stoichiometry and affinity of a wide range of protein-ligand interactions. Here we describe the method for analyzing the PLIMSTEX titration curves and evaluate the effect of various models on the precision and accuracy for determining binding constants using H/D exchange and a titration. The titration data were fitted using a 1:n protein:ligand sequential binding model, where n is the number of binding sites for the same ligand. An ordinary differential equation was used for the first time in calculating the free ligand concentration from the total ligand concentration. A nonlinear least squares regression method was applied to minimize the error between the calculated and the experimentally measured deuterium shift by varying the unknown parameters. A resampling method and second-order statistics were used to evaluate the uncertainties of the fitting parameters. The interaction of intestinal fatty-acid-binding protein (IFABP) with a fatty-acid carboxylate and that of calmodulin with Ca(2+) are used as two tests. The modeling process described here not only is a new tool for analyzing H/D exchange data acquired by ESI-MS, but also possesses novel aspects in modeling experimental titration data to determine the affinity of ligand binding.

摘要

我们最近报道了一种通过质谱、滴定和氢/氘交换(PLIMSTEX)定量蛋白质-配体相互作用的新方法,用于确定广泛的蛋白质-配体相互作用的结合化学计量和亲和力。在此,我们描述了分析PLIMSTEX滴定曲线的方法,并评估了各种模型对使用氢/氘交换和滴定确定结合常数的精度和准确性的影响。滴定数据使用1:n蛋白质:配体顺序结合模型进行拟合,其中n是相同配体的结合位点数。在从总配体浓度计算游离配体浓度时首次使用了常微分方程。应用非线性最小二乘回归方法,通过改变未知参数来最小化计算的和实验测量的氘位移之间的误差。使用重采样方法和二阶统计来评估拟合参数的不确定性。肠道脂肪酸结合蛋白(IFABP)与脂肪酸羧酸盐的相互作用以及钙调蛋白与Ca(2+)的相互作用用作两个测试。这里描述的建模过程不仅是分析通过电喷雾电离质谱(ESI-MS)获得的氢/氘交换数据的新工具,而且在对实验滴定数据进行建模以确定配体结合亲和力方面具有新颖之处。

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