Rhoden John J, Dyas Gregory L, Wroblewski Victor J
From the Department of Drug Disposition, Lilly Research Laboratories, Eli Lilly and Company, Indianapolis, Indiana 46285
From the Department of Drug Disposition, Lilly Research Laboratories, Eli Lilly and Company, Indianapolis, Indiana 46285.
J Biol Chem. 2016 May 20;291(21):11337-47. doi: 10.1074/jbc.M116.714287. Epub 2016 Mar 28.
Despite the increasing number of multivalent antibodies, bispecific antibodies, fusion proteins, and targeted nanoparticles that have been generated and studied, the mechanism of multivalent binding to cell surface targets is not well understood. Here, we describe a conceptual and mathematical model of multivalent antibody binding to cell surface antigens. Our model predicts that properties beyond 1:1 antibody:antigen affinity to target antigens have a strong influence on multivalent binding. Predicted crucial properties include the structure and flexibility of the antibody construct, the target antigen(s) and binding epitope(s), and the density of antigens on the cell surface. For bispecific antibodies, the ratio of the expression levels of the two target antigens is predicted to be critical to target binding, particularly for the lower expressed of the antigens. Using bispecific antibodies of different valencies to cell surface antigens including MET and EGF receptor, we have experimentally validated our modeling approach and its predictions and observed several nonintuitive effects of avidity related to antigen density, target ratio, and antibody affinity. In some biological circumstances, the effect we have predicted and measured varied from the monovalent binding interaction by several orders of magnitude. Moreover, our mathematical framework affords us a mechanistic interpretation of our observations and suggests strategies to achieve the desired antibody-antigen binding goals. These mechanistic insights have implications in antibody engineering and structure/activity relationship determination in a variety of biological contexts.
尽管已产生并研究的多价抗体、双特异性抗体、融合蛋白和靶向纳米颗粒的数量不断增加,但对细胞表面靶点的多价结合机制仍未完全了解。在此,我们描述了多价抗体与细胞表面抗原结合的概念和数学模型。我们的模型预测,除了抗体与靶抗原的1:1亲和力之外的特性对多价结合有很大影响。预测的关键特性包括抗体构建体的结构和灵活性、靶抗原和结合表位,以及细胞表面抗原的密度。对于双特异性抗体,两种靶抗原表达水平的比例预计对靶点结合至关重要,尤其是对于表达较低的抗原。使用针对包括MET和表皮生长因子受体在内的细胞表面抗原的不同价态的双特异性抗体,我们通过实验验证了我们的建模方法及其预测,并观察到了与抗原密度、靶点比例和抗体亲和力相关的亲和力的几种非直观效应。在某些生物学情况下,我们预测和测量的效应与单价结合相互作用相差几个数量级。此外,我们的数学框架为我们的观察结果提供了一种机制解释,并提出了实现所需抗体-抗原结合目标的策略。这些机制见解对抗体工程以及各种生物学背景下的结构/活性关系测定具有重要意义。