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通过 NMR 光谱和计算方法对生物制剂配方中的单克隆抗体-赋形剂相互作用进行排名。

Ranking mAb-excipient interactions in biologics formulations by NMR spectroscopy and computational approaches.

机构信息

Drug Product Development, Bristol Myers Squibb, New Brunswick, NJ, USA.

Drug Discovery, Bristol Myers Squibb, Lawrenceville, NJ, USA.

出版信息

MAbs. 2023 Jan-Dec;15(1):2212416. doi: 10.1080/19420862.2023.2212416.

Abstract

Excipients are added to biopharmaceutical formulations to enhance protein stability and enable the development of robust formulations with acceptable physicochemical properties, but the mechanism by which they confer stability is not fully understood. Here, we aimed to elucidate the mechanism through direct experimental evidence of the binding affinity of an excipient to a monoclonal antibody (mAb), using saturation transfer difference (STD) nuclear magnetic resonance (NMR) spectroscopic method. We ranked a series of excipients with respect to their dissociation constant (K) and nonspecific binding constants (N). In parallel, molecular dynamic and site identification by ligand competitive saturation (SILCS)-Monte Carlo simulations were done to rank the excipient proximity to the proteins, thereby corroborating the ranking by STD NMR. Finally, the excipient ranking by NMR was correlated with mAb conformational and colloidal stability. Our approach can aid excipient selection in biologic formulations by providing insights into mAb-excipient affinities before conventional and time-consuming excipient screening studies are conducted.

摘要

辅料被添加到生物制药制剂中以增强蛋白质稳定性,并开发具有可接受的物理化学性质的稳健制剂,但它们赋予稳定性的机制尚未完全了解。在这里,我们旨在通过使用饱和转移差(STD)核磁共振(NMR)光谱法直接实验证据来阐明该机制,证明辅料与单克隆抗体(mAb)的结合亲和力。我们根据辅料的解离常数(K)和非特异性结合常数(N)对一系列辅料进行了排序。同时,进行了分子动力学和配体竞争饱和(SILCS)-蒙特卡罗模拟,以对辅料与蛋白质的接近程度进行排序,从而通过 STD NMR 对其进行了证实。最后,通过 NMR 对辅料进行的排序与 mAb 构象和胶体稳定性相关。我们的方法可以通过在进行传统且耗时的辅料筛选研究之前提供有关 mAb-辅料亲和力的见解,从而有助于生物制剂中的辅料选择。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c3c5/10208151/16ce73a9ceff/KMAB_A_2212416_F0001_OC.jpg

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