Diffusion and Viscosity in Mixed Protein Solutions.

IF 2.8 2区 化学 Q3 CHEMISTRY, PHYSICAL The Journal of Physical Chemistry B Pub Date : 2024-11-19 DOI:10.1021/acs.jpcb.4c06877
Spencer Wozniak, Michael Feig
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Abstract

The viscosity and diffusion properties of crowded protein systems were investigated with molecular dynamics simulations of SH3 mixtures with different crowders, and results were compared with experimental data. The simulations accurately reproduced experimental trends across a wide range of protein concentrations, including highly crowded environments up to 300 g/L. Notably, viscosity increased with crowding but varied little between different crowder types, while diffusion rates were significantly reduced depending on protein-protein interaction strength. Analysis using the Stokes-Einstein relation indicated that the reduction in diffusion exceeded what was expected from viscosity changes alone, with the additional slow-down attributable to transient cluster formation driven by weakly attractive interactions. Contact kinetics analysis further revealed that longer-lived interactions contributed more significantly to reduced diffusion rates than short-lived interactions. This study also highlights the accuracy of current computational methodologies for capturing the dynamics of proteins in highly concentrated solutions and provides insights into the molecular mechanisms affecting protein mobility in crowded environments.

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混合蛋白溶液中的扩散和粘度
通过对含有不同拥挤剂的 SH3 混合物进行分子动力学模拟,研究了拥挤蛋白质系统的粘度和扩散特性,并将结果与实验数据进行了比较。模拟结果准确再现了各种蛋白质浓度下的实验趋势,包括高达 300 克/升的高度拥挤环境。值得注意的是,粘度随着拥挤度的增加而增加,但不同拥挤度类型之间的差异很小,而扩散率则根据蛋白质与蛋白质相互作用的强度而显著降低。利用斯托克斯-爱因斯坦关系进行的分析表明,扩散速度的降低超出了仅从粘度变化所预期的速度,额外的速度减慢可归因于由弱吸引力相互作用驱动的瞬时团聚形成。接触动力学分析进一步表明,长效相互作用比短效相互作用对降低扩散速率的作用更大。这项研究还凸显了目前的计算方法在捕捉高浓度溶液中蛋白质动态方面的准确性,并提供了对影响蛋白质在拥挤环境中流动性的分子机制的见解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
5.80
自引率
9.10%
发文量
965
审稿时长
1.6 months
期刊介绍: An essential criterion for acceptance of research articles in the journal is that they provide new physical insight. Please refer to the New Physical Insights virtual issue on what constitutes new physical insight. Manuscripts that are essentially reporting data or applications of data are, in general, not suitable for publication in JPC B.
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