Skolnick Jeffrey
Center for the Study of Systems Biology, School of Biology, Georgia Institute of Technology, 950 Atlantic Dr., NW, Atlanta, Georgia 30332, USA.
J Chem Phys. 2016 Sep 14;145(10):100901. doi: 10.1063/1.4962258.
An outstanding challenge in computational biophysics is the simulation of a living cell at molecular detail. Over the past several years, using Stokesian dynamics, progress has been made in simulating coarse grained molecular models of the cytoplasm. Since macromolecules comprise 20%-40% of the volume of a cell, one would expect that steric interactions dominate macromolecular diffusion. However, the reduction in cellular diffusion rates relative to infinite dilution is due, roughly equally, to steric and hydrodynamic interactions, HI, with nonspecific attractive interactions likely playing rather a minor role. HI not only serve to slow down long time diffusion rates but also cause a considerable reduction in the magnitude of the short time diffusion coefficient relative to that at infinite dilution. More importantly, the long range contribution of the Rotne-Prager-Yamakawa diffusion tensor results in temporal and spatial correlations that persist up to microseconds and for intermolecular distances on the order of protein radii. While HI slow down the bimolecular association rate in the early stages of lipid bilayer formation, they accelerate the rate of large scale assembly of lipid aggregates. This is suggestive of an important role for HI in the self-assembly kinetics of large macromolecular complexes such as tubulin. Since HI are important, questions as to whether continuum models of HI are adequate as well as improved simulation methodologies that will make simulations of more complex cellular processes practical need to be addressed. Nevertheless, the stage is set for the molecular simulations of ever more complex subcellular processes.
计算生物物理学中的一个突出挑战是在分子细节层面模拟活细胞。在过去几年中,利用斯托克斯动力学,在模拟细胞质的粗粒度分子模型方面取得了进展。由于大分子占细胞体积的20%-40%,人们可能会认为空间相互作用主导大分子扩散。然而,细胞扩散速率相对于无限稀释时的降低,大致同等程度上是由于空间和流体动力学相互作用(HI),非特异性吸引相互作用可能只起较小作用。HI不仅会减缓长时间扩散速率,还会使短时间扩散系数的大小相对于无限稀释时大幅降低。更重要的是,Rotne-Prager-Yamakawa扩散张量的长程贡献导致时间和空间相关性,这种相关性可持续到微秒级别,且对于分子间距离在蛋白质半径量级的情况也存在。虽然HI在脂质双层形成的早期阶段会减缓双分子缔合速率,但它们会加速脂质聚集体的大规模组装速率。这表明HI在诸如微管蛋白等大型大分子复合物的自组装动力学中起着重要作用。由于HI很重要,因此需要解决关于HI的连续介质模型是否足够的问题,以及改进模拟方法以使更复杂的细胞过程模拟变得可行。尽管如此,越来越复杂的亚细胞过程的分子模拟已拉开序幕。