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基于结构分析的抗对硫磷纳米抗体的高灵敏度和高特异性的分子进化。

Molecular Evolution of Antiparathion Nanobody with Enhanced Sensitivity and Specificity Based on Structural Analysis.

机构信息

Guangdong Provincial Key Laboratory of Food Quality and Safety, National-Local Joint Engineering Research Center for Processing and Safety Control of Livestock and Poultry Products, College of Food Science, South China Agricultural University, Guangzhou 510642, China.

出版信息

J Agric Food Chem. 2023 Oct 11;71(40):14758-14768. doi: 10.1021/acs.jafc.3c05176. Epub 2023 Sep 28.

Abstract

Nanobody (Nb) has gained significant attention in immunoassays owing to its numerous advantages, particularly its ease of molecular evolution. However, the limited understanding of how high sensitivity and specificity attained for antihapten Nbs hamper the development of high-performance Nbs. Herein, the antiparathion Nb (Nb9) we prepared previously was chosen as the model, and an approach based on X-ray crystallography, molecular docking, and rational site-directed saturation mutation for constructing a rapid and effective platform for nanobody evolution was described. Based on the structural analysis, two mutants, namely Nb-D5 (IC = 2.4 ± 0.2 ng/mL) and Nb-D12 (IC = 2.7 ± 0.1 ng/mL), were selected out from a six-sites directed saturation mutation library, 3.5-fold and 3.1-fold sensitivity enhancement over Nb9 to parathion, respectively. Besides, Nb-D12 exhibited improved sensitivity for quinalphos, triazophos, and coumaphos (5.4-35.4 ng/mL), indicating its broader detection potential. Overall, our study advances an effective strategy for the future rational evolution of Nbs with desirable performance.

摘要

纳米抗体(Nb)因其诸多优势,尤其是易于进行分子进化,在免疫测定中受到了广泛关注。然而,对于高灵敏度和特异性的抗半抗原 Nb 如何实现,人们的理解有限,这阻碍了高性能 Nb 的发展。在此,我们以前制备的对硫磷的纳米抗体(Nb9)被选为模型,并描述了一种基于 X 射线晶体学、分子对接和合理的定点饱和突变构建快速有效的纳米抗体进化平台的方法。基于结构分析,从六个定点饱和突变文库中选择出两个突变体,即 Nb-D5(IC = 2.4 ± 0.2 ng/mL)和 Nb-D12(IC = 2.7 ± 0.1 ng/mL),相对于 Nb9 对硫磷的灵敏度分别提高了 3.5 倍和 3.1 倍。此外,Nb-D12 对喹硫磷、三唑磷和氯蜱硫磷的灵敏度也有所提高(5.4-35.4 ng/mL),表明其具有更广泛的检测潜力。总的来说,我们的研究为未来具有理想性能的 Nb 的合理进化提供了一种有效的策略。

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