Global CMC Development, Sanofi, Framingham, Massachusetts.
Global CMC Development, Sanofi, Framingham, Massachusetts.
Biophys J. 2024 Nov 19;123(22):3871-3883. doi: 10.1016/j.bpj.2024.09.032. Epub 2024 Oct 2.
Weak protein interactions are associated with a broad array of biological functions and are often implicated in molecular dysfunction accompanying human disease. In addition, these interactions are a critical determinant in the effective manufacturing, stability, and administration of biotherapeutic proteins. Despite their prominence, much remains unknown about how molecular attributes influence the hydrodynamic and thermodynamic contributions to the overall interaction mechanism. To systematically probe these contributions, we have evaluated self-interaction in a diverse set of proteins that demonstrate a broad range of behaviors from attractive to repulsive. Analysis of the composite trending in the data provides a convenient interconversion among interaction parameters measured from the concentration dependence of the molecular weight, diffusion coefficient, and sedimentation coefficient, as well as insight into the relationship between thermodynamic and hydrodynamic interactions. We find relatively good agreement between our data and a model for interacting hard spheres in the range of weak self-association. In addition, we propose an empirically derived, general scaling relationship applicable across a broad range of self-association and repulsive behaviors.
弱蛋白相互作用与广泛的生物学功能相关联,并且经常涉及伴随人类疾病的分子功能障碍。此外,这些相互作用是生物治疗蛋白有效制造、稳定性和管理的关键决定因素。尽管它们很突出,但对于分子属性如何影响整体相互作用机制的流体动力学和热力学贡献,仍有许多未知。为了系统地探究这些贡献,我们评估了一组表现出从吸引到排斥的广泛行为的不同蛋白质的自相互作用。对数据的综合趋势分析提供了一种方便的转换,可以在从分子量、扩散系数和沉降系数的浓度依赖性测量的相互作用参数之间进行转换,并且深入了解热力学和流体动力学相互作用之间的关系。我们发现我们的数据与弱自缔合范围内的相互作用硬球模型之间存在相对较好的一致性。此外,我们提出了一种经验导出的、适用于广泛自缔合和排斥行为的通用比例关系。