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预测单克隆抗体溶液的高浓度相互作用:强吸引与排斥条件下理论方法的比较。

Predicting High-Concentration Interactions of Monoclonal Antibody Solutions: Comparison of Theoretical Approaches for Strongly Attractive Versus Repulsive Conditions.

机构信息

Department of Chemical and Biomolecular Engineering , University of Delaware , Newark , Delaware 19716 , United States.

Drug Product Science and Technology , Bristol-Myers Squibb , New Brunswick , New Jersey 08901 , United States.

出版信息

J Phys Chem B. 2019 Jul 11;123(27):5709-5720. doi: 10.1021/acs.jpcb.9b03779. Epub 2019 Jun 26.

DOI:10.1021/acs.jpcb.9b03779
PMID:31241333
Abstract

Nonspecific protein-protein interactions of a monoclonal antibody were quantified experimentally using light scattering from low to high protein concentrations () and compared with prior work for a different antibody that yielded qualitatively different behavior. The dependence of the excess Rayleigh ratio () provided the osmotic second virial coefficient () at low and the static structure factor () at high , as a function of solution pH, total ionic strength (TIS), and sucrose concentration. Net repulsive interactions were observed at pH 5, with weaker repulsions at higher TIS. Conversely, attractive electrostatic interactions were observed at pH 6.5, with weaker attractions at higher TIS. Refined coarse-grained models were used to fit model parameters using experimental versus TIS data. The parameters were used to predict high- values via Monte Carlo simulations and separately with Mayer-sampling calculations of higher-order virial coefficients. For both methods, predictions for repulsive to mildly attractive conditions were quantitatively accurate. However, only qualitatively accurate predictions were practical for strongly attractive conditions. An alternative, higher resolution model was used to show semiquantitatively and quantitatively accurate predictions of strong electrostatic attractions at low and low ionic strength.

摘要

使用从低到高蛋白浓度的光散射实验定量了单克隆抗体的非特异性蛋白质-蛋白质相互作用,并与先前针对不同抗体的工作进行了比较,后者表现出定性不同的行为。作为溶液 pH 值、总离子强度 (TIS) 和蔗糖浓度的函数,过量瑞利比()对的依赖性提供了低时的渗透压第二维里系数()和高时的静态结构因子()。在 pH 5 时观察到净排斥相互作用,在更高的 TIS 时排斥作用较弱。相反,在 pH 6.5 时观察到静电吸引相互作用,在更高的 TIS 时吸引作用较弱。使用精制的粗粒度模型根据实验与 TIS 数据拟合模型参数。使用这些参数通过蒙特卡罗模拟和更高阶维里系数的 Mayer 采样计算分别预测高值。对于这两种方法,对于排斥到轻度吸引的条件,预测都是定量准确的。然而,对于强吸引条件,只有定性准确的预测才是实际可行的。使用替代的、更高分辨率的模型可以显示在低和低离子强度下强静电吸引的半定量和定量准确预测。

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