Modelling random antibody adsorption and immunoassay activity.
Modelling random antibody adsorption and immunoassay activity.
复制标题
模拟随机抗体吸附和免疫测定活性。
DOI：
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发表时间：
2016
期刊：
影响因子：
--
通讯作者：
R. Nooney
中科院分区：
文献类型：
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作者：
D. Mackey;Eilís Kelly;R. Nooney
免疫测定设计中的主要考虑因素之一是优化捕获抗体的浓度，以实现最大抗原结合，并随后提高灵敏度和检测限。许多免疫测定技术涉及将抗体固定到固体表面。抗体是大分子，其中抗原结合位点的位置和可及性取决于它们的取向和堆积密度。在本文中，我们提出了一个简单的数学模型，基于被称为随机顺序吸附（RSA）的理论，以计算正确取向的抗体（暴露于后续反应的活性位点）的浓度如何在沉积过程中演变。实验研究表明，由于分子变性和活性结合位点的阻塞，高浓度将降低测定性能。然而，抗体的拥挤也可以通过有利于直立取向而具有相反的效果。我们的模型的一个具体目标是预测在不同的实验条件下，这些竞争效应中的哪一种占主导地位，并研究最佳覆盖率的存在，这会产生活性粒子的最大预期浓度（从而产生最高信号）。
One of the primary considerations in immunoassay design is optimizing the concentration of capture antibody in order to achieve maximal antigen binding and, subsequently, improved sensitivity and limit of detection. Many immunoassay technologies involve immobilization of the antibody to solid surfaces. Antibodies are large molecules in which the position and accessibility of the antigen-binding site depend on their orientation and packing density. In this paper we propose a simple mathematical model, based on the theory known as random sequential adsorption (RSA), in order to calculate how the concentration of correctly oriented antibodies (active site exposed for subsequent reactions) evolves during the deposition process. It has been suggested by experimental studies that high concentrations will decrease assay performance, due to molecule denaturation and obstruction of active binding sites. However, crowding of antibodies can also have the opposite effect by favouring upright orientations. A specific aim of our model is to predict which of these competing effects prevails under different experimental conditions and study the existence of an optimal coverage, which yields the maximum expected concentration of active particles (and hence the highest signal).
与固定化免疫球蛋白形成抗体-抗原复合物。
影响因子：
2.9
作者：
Schramm,W;Paek,SH
通讯作者：
Paek,SH