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Determination of High-affinity Antibody-antigen Binding Kinetics Using Four Biosensor Platforms

Determination of High-affinity Antibody-antigen Binding Kinetics Using Four Biosensor Platforms

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使用绑定配置文件映射抗体足迹.

Asaf Azulay^1,2, Liel Cohen-Lavi^2,3, Lilach M Friedman^1,2

¹The Shraga Segal Department of Microbiology, Immunology and Genetics, Ben-Gurion University of the Negev, Beer-Sheva, Israel.

Cell reports methods

|September 6, 2023

概括

此摘要是机器生成的。

我们开发了一种使用抗体结合配置文件的高通量方法,以表征针对流感血质素 (HA) 的单克隆抗体 (mAbs). 这种方法,包括mAb-Patch工具,有效地预测抗体表位,并有助于选择mAbs进行进一步研究.

关键词:

抗体的特征表征.抗体足迹抗体足迹抗体分析抗体分析抗原地图学是指对抗原地图的绘制.标本预测预测的预测 mAb-Patch 的使用情况.这是一种单克隆抗体.

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Last Updated: Jul 17, 2025

Determination of High-affinity Antibody-antigen Binding Kinetics Using Four Biosensor Platforms

Determination of High-affinity Antibody-antigen Binding Kinetics Using Four Biosensor Platforms

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科学领域:

免疫学免疫学免疫学
结构生物学结构生物学
生物信息学是一种生物信息学.

背景情况:

单克隆抗体 (mAbs) 在医学和生物学中至关重要.
对mAb结合表位的有效表征至关重要.
流感血凝素 (HA) 是抗体开发的关键标.

研究的目的:

开发一种使用绑定配置文件的高通量抗体足迹方法.
创建一个表位预测工具,mAb-Patch,基于结合数据和抗原结构.
描述抗流感血凝素 (HA) mAbs及其特异性.

主要方法:

利用抗原微阵列对23种抗流感HA mAbs进行分析,对抗43种流感菌株 (1918-2018) 的HA蛋白.
开发了mAb-Patch方法,将mAb结合配置文件与抗原3D结构集成在一起,用于表位预测.
使用已知HA结构的四个mAbs验证的mAb-Patch.

主要成果:

mAb结合配置文件准确地描述了流感亚型的特异性,结合区域和结合部位.
mAb-Patch成功识别了超过67%的真实表位在有限的抗原位置 (50-60).
证明了使用绑定配置文件来选和向下选择mAbs.概念的证明.

结论:

抗体结合配置文件为高通量表位特征提供了一个强大的策略.
mAb-Patch提供了一种高效的计算工具,用于预测抗体表位.
这种方法有助于在流感研究中选择有前途的mAbs进行功能验证.