Brookes Emre, Żuk Pawel J, Rocco Mattia
Department of Chemistry and Biochemistry, University of Montana, 32 Campus Drive, Missoula, Montana, 59812, USA.
Institute of Physical Chemistry, Polish Academy of Sciences, Kasprzaka 44/52, 01-224, Warsaw, Poland.
Eur Biophys J. 2025 May 29. doi: 10.1007/s00249-025-01758-8.
Comparing experimental and calculated hydrodynamic properties of (bio)-macromolecules, such as the translational diffusion coefficient and the intrinsic viscosity [η], is a useful strategy for the validation of predicted and/or solved atomic-level structures. Bead modeling is a prominent methodology, with several computational tools available. The program GRPY (Generalized Rotne-Prager-Yamakawa) allows the hydrodynamic calculations to be performed at the one-atom one-bead scale, allowing overlaps, but it is computer intensive with CPU requirements depending on the number of beads N as ~ N. The program ZENO, based on the electrostatics-hydrodynamics analogy and using a Monte Carlo numerical path integration, can compute and [η] directly on bead models, and it is almost independent of the target size. Since bead models are a very efficient way to include the hydration effect when dealing with bio-macromolecules, we present here an in-depth comparison between GRPY and ZENO, both as implemented in the US-SOMO suite. Relatively low but systematic differences (0.2-2%, increasing with model size) appear when using bead models of proteins at the residue- or atomic-level scales. When comparing the results provided on a restricted set of bead models by two other computationally intensive methods having other drawbacks, the very accurate but not handling overlaps HYDROMULTIPOLE, and the boundary elements BEST requiring extrapolation, GRPY was found to fare better than ZENO. While efforts are in progress to directly improve the ZENO performance, a heuristic correction based on the results for a series of protein bead models is proposed, allowing for a better consistency with GRPY.
比较(生物)大分子的实验和计算流体动力学性质,如平移扩散系数和特性粘度[η],是验证预测和/或求解的原子级结构的有用策略。珠子建模是一种突出的方法,有几种可用的计算工具。GRPY(广义Rotne-Prager-Yamakawa)程序允许在单原子单珠子尺度上进行流体动力学计算,允许重叠,但计算量很大,CPU需求取决于珠子数量N,约为N。ZENO程序基于静电-流体动力学类比并使用蒙特卡罗数值路径积分,可以直接在珠子模型上计算和[η],并且几乎与目标大小无关。由于珠子模型是处理生物大分子时纳入水合效应的非常有效的方法,我们在此展示GRPY和ZENO在美国-SOMO套件中的深入比较。在使用残基或原子级尺度的蛋白质珠子模型时,会出现相对较低但系统的差异(0.2-2%,随模型大小增加)。当比较由另外两种具有其他缺点的计算量很大的方法在一组受限珠子模型上提供的结果时,即非常精确但不处理重叠的HYDROMULTIPOLE和需要外推的边界元BEST,发现GRPY比ZENO表现更好。虽然正在努力直接提高ZENO的性能,但基于一系列蛋白质珠子模型的结果提出了一种启发式校正,以使与GRPY有更好的一致性。