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首页> 外文期刊>Journal of molecular recognition: JMR >Hapten-antibody recognition studies in competitive immunoassay of a-zearalanol analogs by computational chemistry and Pearson Correlation analysis
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Hapten-antibody recognition studies in competitive immunoassay of a-zearalanol analogs by computational chemistry and Pearson Correlation analysis

机译:通过计算化学和Pearson相关分析在a-二氮杂戊醇类似物的竞争性免疫分析中进行的半抗原抗体识别研究

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The molecular recognition of hapten-antibody is a fundamental event in competitive immunoassay, which guarantees the sensitivity and specificity of immunoassay for the detection of haptens. The aim of this study is to investigate the correlation between binding ability of one monoclonal antibody, 1H9B4, recognizing and the molecular aspects of alpha-zearalanol analogs. The mouse-derived monoclonal antibody was produced by using alpha-zearalanol conjugated to bovine serum albumin as an immunogen. The antibody recognition abilities, expressed as IC_(50) values, were determined by a competitive ELISA. All of the hapten molecules were optimized by Density Function Theory (DFT) at B3LYP/ 6-31G* level and the conformation and electrostatic molecular isosurface were employed to explain the molecular recognition between a-zearalanol analogs and antibody 1H9B4. Pearson Correlation analysis between molecular descriptors and IC_(50) values was qualitatively undertaken and the results showed that one molecular descriptor, surface of the hapten molecule, clearly demonstrated linear relationship with antibody recognition ability, where the relationship coefficient was 0.88 and the correlation was significant at p < 0.05 level. The study shows that computational chemistry and Pearson Correlation analysis can be used as tool to help the immunochemistries better understand the processing of antibody recognition of hapten molecules in competitive immunoassay.
机译:半抗原抗体的分子识别是竞争性免疫测定中的一个基本事件,它保证了免疫测定对半抗原的检测的敏感性和特异性。这项研究的目的是调查一种单克隆抗体1H9B4的结合能力,识别能力与α-玉米醇类似物的分子方面之间的相关性。小鼠衍生的单克隆抗体是通过使用与牛血清白蛋白缀合的α-玉米醇作为免疫原来生产的。通过竞争性ELISA确定以IC_(50)值表示的抗体识别能力。通过密度泛函理论(DFT)在B3LYP / 6-31G *水平上优化了所有半抗原分子,并使用构象和静电分子等值表面来解释α-玉米油醇类似物与抗体1H9B4之间的分子识别。定性地进行了分子描述子与IC_(50)值之间的Pearson相关分析,结果表明,半抗原分子的一个分子描述子即半抗原表面清楚地表明了与抗体识别能力的线性关系,相关系数为0.88,且相关性显着在p <0.05水平。研究表明,计算化学和Pearson相关分析可以用作工具,帮助免疫化学在竞争性免疫分析中更好地了解半抗原分子的抗体识别过程。

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