论文标题
RNA病毒的跨越树模型和组装动力学
The Spanning Tree Model and the Assembly Kinetics of RNA Viruses
论文作者
论文摘要
单链(SS)RNA病毒在包含病毒RNA基因组分子和病毒capsid蛋白的溶液中自发地自发。可以根据自由能的最小化来理解空的衣壳的自组装。但是,在感染细胞的细胞质中完全病毒颗粒的自组装过程中,必须从一个非常相似的宿主Messenger RNA分子的大库中选择病毒基因组分子,并且尚不清楚是否也可以通过自由能最小化来理解这一点。我们使用最近提出的简单数学模型来解决这个问题,用于组装小srna病毒(已提交给PLOS Biogonmontain)。我们对模型的性质进行了统计物理分析,以发现效应动力学RNA选择机制,并在成核复合物的形成过程中进行了选择。令人惊讶的是,通过适度的过饱和水平和蛋白质与RNA浓度比的降低,动力学选择性大大提高了。该机制与Hopfield动力学校对方案有关。
Single-stranded (ss) RNA viruses self-assemble spontaneously in solutions that contain the viral RNA genome molecules and viral capsid proteins. The self-assembly of empty capsids can be understood on the basis of free energy minimization. However, during the self-assembly of complete viral particles in the cytoplasm of an infected cell, the viral genome molecules must be selected from a large pool of very similar host messenger RNA molecules and it is not known whether this also can be understood by free energy minimization. We address this question using a simple mathematical model recently proposed for the assembly of small ssRNA viruses (submitted to PLOS Biocomputation). We present a statistical physics analysis of the properties of the model finding an effect kinetic RNA selection mechanism with selection taking place during the formation of the nucleation complex. Surprisingly, kinetic selectivity is greatly enhanced by a modest level of supersaturation and by reduced protein to RNA concentration ratios. The mechanism is related to the Hopfield kinetic proofreading scenario.