Center for Theoretical Chemistry, Ruhr University Bochum, Bochum, Germany.
Pharmaceutical Development Biologicals, Boehringer Ingelheim Pharma GmbH & Co. KG, Innovation Unit, Biberach and der Riss, Germany.
MAbs. 2024 Jan-Dec;16(1):2427771. doi: 10.1080/19420862.2024.2427771. Epub 2024 Nov 14.
Protein formulation development relies on the selection of excipients that inhibit protein-protein interactions preventing aggregation. Empirical strategies involve screening many excipient and buffer combinations by physicochemical characterization using forced degradation or temperature-induced stress, mostly under accelerated conditions. Such methods do not readily provide information on the inter- and intramolecular interactions responsible for the effects of excipients. Here, we describe a combined experimental and computational approach for investigating the effect of protein-excipient interactions on formulation stability, which allows the identification of preferential interaction sites and thus can aid in the selection of excipients to be experimentally screened. Model systems composed of two marketed therapeutic IgG1 monoclonal antibodies with identical Fc domain sequences, trastuzumab and omalizumab, were investigated with commonly used excipients arginine, glutamate, and equimolar arginine/glutamate mixtures. Protein-excipient interactions were studied using all-atom molecular dynamics (MD) simulations, which show accumulation of the excipients at specific antibody regions. Preferential excipient-interaction sites were particularly found for charged and aromatic residues and in the complementary-determining regions, with more pronounced arginine contacts for omalizumab than trastuzumab. These computational findings are in line with the more pronounced stabilizing effects of arginine observed in the long-term storage stability study. Furthermore, the aggregation and solubility propensity predicted by commonly used tools do not align with the preferential excipient-interaction sites identified by the MD simulations, suggesting that different physicochemical mechanisms are at play.
蛋白质配方的开发依赖于选择能够抑制蛋白质-蛋白质相互作用以防止聚集的赋形剂。经验策略涉及通过使用强制降解或温度诱导应激的物理化学特性筛选许多赋形剂和缓冲剂组合,主要在加速条件下进行。这些方法不容易提供有关导致赋形剂作用的分子间和分子内相互作用的信息。在这里,我们描述了一种结合实验和计算的方法,用于研究蛋白质-赋形剂相互作用对配方稳定性的影响,这可以确定优先相互作用的部位,从而有助于选择要进行实验筛选的赋形剂。由具有相同 Fc 结构域序列的两种市售治疗性 IgG1 单克隆抗体(曲妥珠单抗和奥马珠单抗)组成的模型系统,与常用的赋形剂精氨酸、谷氨酸和等摩尔精氨酸/谷氨酸混合物一起进行了研究。使用全原子分子动力学 (MD) 模拟研究了蛋白质-赋形剂相互作用,结果表明赋形剂在特定抗体区域积累。在带电和芳香残基以及互补决定区中特别发现了优先的赋形剂相互作用部位,奥马珠单抗比曲妥珠单抗具有更明显的精氨酸接触。这些计算结果与在长期储存稳定性研究中观察到的更明显的精氨酸稳定作用一致。此外,常用工具预测的聚集和溶解度倾向与 MD 模拟确定的优先赋形剂相互作用部位不一致,这表明存在不同的物理化学机制。