Effect of Drug-to-Protein Reaction Kinetics on the Results of Thermal Proteome Profiling

IF 6.7 1区 化学 Q1 CHEMISTRY, ANALYTICAL Analytical Chemistry Pub Date : 2024-12-25 DOI:10.1021/acs.analchem.4c04313
Ivan I. Fedorov, Mark V. Ivanov, Mikhail V. Gorshkov
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Abstract

In this Letter, a two-term formalism for constructing protein solubility curves in thermal proteome profiling (TPP) is considered, which takes into account the efficiency of the drug–protein binding reaction. When the reaction is incomplete, this results in distortion of the otherwise sigmoidal shape of the curve after drug treatment, which is often observed in experiments. This distortion may be significant enough to disqualify the corresponding protein from the list of drug target candidates, thus negatively affecting the results of TPP data analysis. To further assist this analysis, we also developed the solubility curve simulation software to visualize the discussed effect. Several experimental data sets from recent TPP studies have been reprocessed, and we demonstrate in a few examples that the proposed two-term equation fits correctly the observed protein solubility curves with distorted shapes, also highlighting the previously unrecognized targets.

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药物-蛋白质反应动力学对热蛋白质组分析结果的影响
在本文中,考虑到药物-蛋白质结合反应的效率,考虑了热蛋白质组分析(TPP)中构建蛋白质溶解度曲线的两项形式。当反应不完全时,这将导致药物治疗后曲线的s形变形,这在实验中经常观察到。这种扭曲可能足以使相应的蛋白从候选药物靶标列表中取消资格,从而对TPP数据分析结果产生负面影响。为了进一步辅助分析,我们还开发了溶解度曲线模拟软件来可视化所讨论的效果。我们对最近TPP研究的几个实验数据集进行了重新处理,并在几个例子中证明,所提出的两项方程正确地拟合了扭曲形状的观察到的蛋白质溶解度曲线,同时也突出了以前未识别的目标。
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来源期刊
Analytical Chemistry
Analytical Chemistry 化学-分析化学
CiteScore
12.10
自引率
12.20%
发文量
1949
审稿时长
1.4 months
期刊介绍: Analytical Chemistry, a peer-reviewed research journal, focuses on disseminating new and original knowledge across all branches of analytical chemistry. Fundamental articles may explore general principles of chemical measurement science and need not directly address existing or potential analytical methodology. They can be entirely theoretical or report experimental results. Contributions may cover various phases of analytical operations, including sampling, bioanalysis, electrochemistry, mass spectrometry, microscale and nanoscale systems, environmental analysis, separations, spectroscopy, chemical reactions and selectivity, instrumentation, imaging, surface analysis, and data processing. Papers discussing known analytical methods should present a significant, original application of the method, a notable improvement, or results on an important analyte.
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