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混合蛋白质溶液中的扩散与黏度

Diffusion and Viscosity in Mixed Protein Solutions.

作者信息

Wozniak Spencer, Feig Michael

机构信息

Department of Biochemistry and Molecular Biology, Michigan State University, East Lansing, MI 48824, USA.

出版信息

bioRxiv. 2024 Oct 11:2024.10.10.617612. doi: 10.1101/2024.10.10.617612.

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.

摘要

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。模拟准确地再现了广泛蛋白质浓度范围内的实验趋势,包括高达300 g/L的高度拥挤环境。值得注意的是,粘度随拥挤程度增加而增加,但不同拥挤剂类型之间变化不大,而扩散速率则根据蛋白质-蛋白质相互作用强度显著降低。使用斯托克斯-爱因斯坦关系进行的分析表明,扩散的降低超过了仅由粘度变化所预期的程度,额外的减慢归因于弱吸引相互作用驱动的瞬态簇形成。接触动力学分析进一步表明,寿命较长的相互作用比寿命较短的相互作用对扩散速率降低的贡献更大。这项研究还突出了当前计算方法在捕捉高浓度溶液中蛋白质动力学方面的准确性,并提供了对影响拥挤环境中蛋白质流动性的分子机制的见解。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d0b7/11483061/b0ef6db306a4/nihpp-2024.10.10.617612v1-f0001.jpg

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