Zhang Tiequan, Schwartz Russell
Department of Biological Sciences and Computer Science Department, Carnegie Mellon University, Pittsburgh, Pennsylvania, USA.
Biophys J. 2006 Jan 1;90(1):57-64. doi: 10.1529/biophysj.105.072207. Epub 2005 Oct 7.
The process by which hundreds of identical capsid proteins self-assemble into icosahedral structures is complex and poorly understood. Establishing constraints on the assembly pathways is crucial to building reliable theoretical models. For example, it is currently an open question to what degree overall assembly kinetics are dominated by one or a few most efficient pathways versus the enormous number theoretically possible. The importance of this question, however, is often overlooked due to the difficulties of addressing it in either theoretical or experimental practice. We apply a computer model based on a discrete-event simulation method to evaluate the contributions of nondominant pathways to overall assembly kinetics. This is accomplished by comparing two possible assembly models: one allowing growth to proceed only by the accretion of individual assembly subunits and the other allowing the binding of sterically compatible assembly intermediates any sizes. Simulations show that the two models perform almost identically under low binding rate conditions, where growth is strongly nucleation-limited, but sharply diverge under conditions of higher association rates or coat protein concentrations. The results suggest the importance of identifying the actual binding pattern if one is to build reliable models of capsid assembly or other complex self-assembly processes.
数百个相同的衣壳蛋白自组装成二十面体结构的过程很复杂,人们对此了解甚少。确定组装途径的限制因素对于构建可靠的理论模型至关重要。例如,目前一个悬而未决的问题是,总体组装动力学在多大程度上由一条或几条最有效的途径主导,而不是由理论上可能的大量途径主导。然而,由于在理论或实验实践中解决这个问题存在困难,这个问题的重要性常常被忽视。我们应用基于离散事件模拟方法的计算机模型来评估非主导途径对总体组装动力学的贡献。这是通过比较两种可能的组装模型来实现的:一种模型只允许通过单个组装亚基的附着来进行生长,另一种模型允许任何大小的空间兼容组装中间体结合。模拟结果表明,在低结合速率条件下,两种模型的表现几乎相同,此时生长受到强烈的成核限制,但在较高结合速率或衣壳蛋白浓度条件下,两种模型的表现会急剧不同。结果表明,如果要建立可靠的衣壳组装或其他复杂自组装过程的模型,识别实际的结合模式很重要。