Vinnakota Kalyan C, Wu Fan, Kushmerick Martin J, Beard Daniel A
Biotechnology and Bioengineering Center and Department of Physiology, Medical College of Wisconsin, Milwaukee, Wisconsin, USA.
Methods Enzymol. 2009;454:29-68. doi: 10.1016/S0076-6879(08)03802-0.
The operation of biochemical systems in vivo and in vitro is strongly influenced by complex interactions between biochemical reactants and ions such as H(+), Mg(2+), K(+), and Ca(2+). These are important second messengers in metabolic and signaling pathways that directly influence the kinetics and thermodynamics of biochemical systems. Herein we describe the biophysical theory and computational methods to account for multiple ion binding to biochemical reactants and demonstrate the crucial effects of ion binding on biochemical reaction kinetics and thermodynamics. In simulations of realistic systems, the concentrations of these ions change with time due to dynamic buffering and competitive binding. In turn, the effective thermodynamic properties vary as functions of cation concentrations and important environmental variables such as temperature and overall ionic strength. Physically realistic simulations of biochemical systems require incorporating all of these phenomena into a coherent mathematical description. Several applications to physiological systems are demonstrated based on this coherent simulation framework.
体内和体外生化系统的运行受到生化反应物与诸如H(+)、Mg(2+)、K(+)和Ca(2+)等离子之间复杂相互作用的强烈影响。这些离子是代谢和信号通路中的重要第二信使,直接影响生化系统的动力学和热力学。在此,我们描述了用于解释多种离子与生化反应物结合的生物物理理论和计算方法,并证明了离子结合对生化反应动力学和热力学的关键影响。在实际系统的模拟中,由于动态缓冲和竞争性结合,这些离子的浓度会随时间变化。反过来,有效的热力学性质会随着阳离子浓度以及诸如温度和总离子强度等重要环境变量而变化。生化系统的物理逼真模拟需要将所有这些现象纳入一个连贯的数学描述中。基于这个连贯的模拟框架,展示了在生理系统中的几个应用。