Suppr超能文献

糖基化对单克隆抗体蛋白-蛋白自身相互作用的影响。

Impact of Glycosylation on Protein-Protein Self-Interactions of Monoclonal Antibodies.

机构信息

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

出版信息

Mol Pharm. 2024 Mar 4;21(3):1414-1423. doi: 10.1021/acs.molpharmaceut.3c01069. Epub 2024 Feb 22.

Abstract

Protein self-interactions measured via second osmotic virial coefficients () and dynamic light scattering interaction parameter values () are often used as metrics for assessing the favorability of protein candidates and different formulations during monoclonal antibody (MAb) product development. Model predictions of or typically do not account for glycans, though glycosylation can potentially impact experimental MAb self-interactions. To the best of our knowledge, the impact of MAb glycosylation on the experimentally measured and values has not yet been reported. and values of two fully deglycosylated MAbs and their native (i.e., fully glycosylated) counterparts were measured by light scattering over a range of pH and ionic strength conditions. Significant differences between and of the native and deglycosylated forms were observed at a range of low to high ionic strengths used to modulate the effect of electrostatic contributions. Differences were most pronounced at low ionic strength, indicating that electrostatic interactions are a contributing factor. Though and values were statistically equivalent at high ionic strengths where electrostatics were fully screened, we observed protein-dependent qualitative differences, which indicate that steric interactions may also play a role in the observed and differences. A domain-level coarse-grained molecular model accounting for charge differences was considered to potentially provide additional insight but was not fully predictive of the behavior across all of the solution conditions investigated. This highlights that both the level of modeling and lack of inclusion of glycans may limit existing models in making quantitatively accurate predictions of self-interactions.

摘要

通过第二渗透压第二维里系数 () 和动态光散射相互作用参数值 () 测量的蛋白质自相互作用通常被用作评估单克隆抗体 (MAb) 产品开发过程中候选蛋白和不同配方的有利程度的指标。尽管糖基化可能会影响实验性 MAb 自相互作用,但模型对 或 的预测通常没有考虑糖基化。据我们所知,MAb 糖基化对实验测量的 和 值的影响尚未有报道。通过光散射在一系列 pH 和离子强度条件下测量了两种完全去糖基化 MAb 及其天然 (即完全糖基化) 对应物的 和 值。在用于调节静电贡献影响的一系列低至高离子强度下,观察到天然和去糖基化形式的 和 值存在显著差异。在低离子强度下差异最为明显,表明静电相互作用是一个促成因素。尽管在完全屏蔽静电的高离子强度下, 和 值在统计学上是等效的,但我们观察到了蛋白质依赖性的定性差异,这表明空间相互作用也可能在观察到的 和 值差异中起作用。考虑到可能提供额外见解的考虑到电荷差异的域级粗粒度分子模型,但不能完全预测在所有研究的溶液条件下的行为。这突出表明,建模的水平和缺乏糖基化的纳入都可能限制现有模型对自相互作用进行定量准确预测。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验