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Ciprofloxacin and Clinafloxacin Antibodies for an Immunoassay of Quinolones: Quantitative Structure-Activity Analysis of Cross-Reactivities

机译:环丙沙星和喹啉氟唑啉抗体的喹诺酮类免疫测定:交叉反应性的定量结构 - 活性分析

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A common problem in the immunodetection of structurally close compounds is understanding the regularities of immune recognition, and elucidating the basic structural elements that provide it. Correct identification of these elements would allow for select immunogens to obtain antibodies with either wide specificity to different representatives of a given chemical class (for class-specific immunoassays), or narrow specificity to a unique compound (mono-specific immunoassays). Fluoroquinolones (FQs; antibiotic contaminants of animal-derived foods) are of particular interest for such research. We studied the structural basis of immune recognition of FQs by antibodies against ciprofloxacin (CIP) and clinafloxacin (CLI) as the immunizing hapten. CIP and CLI possess the same cyclopropyl substituents at the N1 position, while their substituents at C7 and C8 are different. Anti-CIP antibodies were specific to 22 of 24 FQs, while anti-CLI antibodies were specific to 11 of 26 FQs. The molecular size was critical for the binding between the FQs and the anti-CIP antibody. The presence of the cyclopropyl ring at the N1 position was important for the recognition between fluoroquinolones and the anti-CLI antibody. The anti-CIP quantitative structure-activity relationship (QSAR) model was well-equipped to predict the test set (pred_R-2 = 0.944). The statistical parameters of the anti-CLI model were also high (R-2 = 0.885, q(2) = 0.864). Thus, the obtained QSAR models yielded sufficient correlation coefficients, internal stability, and predictive ability. This work broadens our knowledge of the molecular mechanisms of FQs' interaction with antibodies, and it will contribute to the further development of antibiotic immunoassays.
机译:结构紧密化合物免疫检测的常见问题是理解免疫识别的规律,并阐明提供它的基本结构元素。正确的鉴定这些元素将允许选择免疫原,以获得对给定化学类别(对于类特异性免疫测定)的不同代表的抗体,或者对独特的化合物(单对单级免疫测定)窄的特异性。氟代喹啉(FQS;动物衍生食品的抗生素污染物)对这种研究特别感兴趣。我们研究了通过针对环丙沙星(CIP)和Cliafloxacin(CLI)作为免疫醇的抗体免疫识别FQs的结构基础。 CIP和CLI在N1位置具有相同的环丙基取代基,而C7和C8的取代基不同。抗CIP抗体特异于24个FQs的22个,而抗CLI抗体特异于26个FQs。分子大小对于FQs和抗CIP抗体之间的结合至关重要。在N1位置的环丙基的存在对于氟代喹啉酮和抗CLI抗体之间的识别是重要的。防CIP定量结构 - 活动关系(QSAR)模型装备良好,以预测测试集(PRED_R-2 = 0.944)。抗CLI模型的统计参数也高(R-2 = 0.885,Q(2)= 0.864)。因此,所获得的QSAR模型产生足够的相关系数,内部稳定性和预测能力。这项工作拓宽了我们对与抗体相互作用的分子机制的了解,并将有助于进一步发展抗生素免疫测定。

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