Department of Physics, Seattle University, Seattle, WA, United States of America. Division of Basic Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, United States of America.
Phys Biol. 2020 May 15;17(4):045001. doi: 10.1088/1478-3975/ab7f51.
Biological cells are complex environments that are densely packed with macromolecules and subdivided by membranes, both of which affect the rates of chemical reactions. It is well known that crowding reduces the volume available to reactants, which increases reaction rates, and also inhibits reactant diffusion, which decreases reaction rates. This work investigates these effects quantitatively using analytical theory and particle-based simulations. A reaction rate equation based on only these two processes turned out to be inconsistent with simulation results. However, accounting for diffusion inhibition by the surfaces of nearby obstacles, which affects access to reactants, it led to perfect agreement for reactions near impermeable planar membranes and improved agreement for reactions in crowded spaces. A separate model that quantified reactant occlusion by crowders, and extensions to a thermodynamic 'cavity' model proposed by Berezhkovskii and Szabo [25], were comparably successful. These results help elucidate reaction dynamics in confined spaces and improve prediction of in vivo reaction rates from in vitro ones.
生物细胞是复杂的环境,其中大分子物质高度聚集,并被细胞膜分隔,这两者都会影响化学反应的速率。众所周知,拥挤会减少反应物的可用体积,从而提高反应速率,同时也会抑制反应物的扩散,从而降低反应速率。本工作使用分析理论和基于粒子的模拟对这些影响进行了定量研究。一个仅基于这两个过程的反应速率方程与模拟结果不一致。然而,考虑到附近障碍物表面对扩散的抑制作用,这会影响反应物的进入,对于不可渗透的平面膜附近的反应,它导致了完美的一致,对于在拥挤空间中的反应,也提高了一致性。一个单独的模型量化了拥挤物对反应物的封闭作用,并扩展了 Berezhkovskii 和 Szabo [25] 提出的热力学“腔”模型,同样取得了成功。这些结果有助于阐明受限空间中的反应动力学,并提高从体外预测体内反应速率的能力。