McKetta Department of Chemical Engineering, The University of Texas at Austin, 200 E. Dean Keeton Street, Stop C0400, Austin, Texas 78712, United States.
Texas Materials Institute, The University of Texas at Austin, Austin, Texas 78712, United States.
Mol Pharm. 2020 May 4;17(5):1748-1756. doi: 10.1021/acs.molpharmaceut.9b00960. Epub 2020 Apr 2.
Understanding protein-protein interactions in concentrated therapeutic monoclonal antibody (mAb) solutions is desirable for improved drug discovery, processing, and administration. Here, we deduce both the net protein charge and the magnitude and geometry of short-ranged, anisotropic attractions of a mAb across multiple concentrations and cosolute conditions by comparing structure factors () obtained from small-angle X-ray scattering experiments with those from molecular dynamics (MD) simulations. The simulations, which utilize coarse-grained 12-bead models exhibiting a uniform van der Waals attraction, uniform electrostatic repulsion, and short-range attractions between specific beads, are versatile enough to fit () of a wide range of protein concentrations and ionic strength with the same charge on each bead and a single anisotropic short-range attraction strength. Cluster size distributions (CSDs) obtained from best fit simulations reveal that the experimental structure is consistent with small reversible oligomers in even low viscosity systems and help quantify the impact of these clusters on viscosity. The ability to systematically use experimental () data together with MD simulations to discriminate between different possible protein-protein interactions, as well as to predict viscosities from protein CSDs, is beneficial for designing mAbs and developing formulation strategies that avoid high viscosities and aggregation at high concentration.
了解浓缩治疗性单克隆抗体 (mAb) 溶液中的蛋白质-蛋白质相互作用对于改进药物发现、处理和给药是可取的。在这里,我们通过将从小角度 X 射线散射实验获得的结构因子 (S) 与分子动力学 (MD) 模拟进行比较,推断出 mAb 在多个浓度和共溶剂条件下的净蛋白电荷以及短程、各向异性吸引力的大小和几何形状。这些模拟利用了粗粒度的 12 个珠子模型,该模型表现出均匀的范德华吸引力、均匀的静电排斥力以及特定珠子之间的短程吸引力,其通用性足以拟合具有相同珠子电荷和单个各向异性短程吸引力强度的各种蛋白浓度和离子强度的 (S)。最佳拟合模拟得到的簇大小分布 (CSD) 表明,实验结构与低粘度系统中甚至低浓度的小可逆低聚物一致,并有助于量化这些低聚物对粘度的影响。能够系统地使用实验 (S) 数据与 MD 模拟相结合,区分不同可能的蛋白质-蛋白质相互作用,以及从蛋白质 CSD 预测粘度,对于设计 mAb 和开发避免高浓度下高粘度和聚集的配方策略是有益的。