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首页> 外文期刊>Biophysical Journal >Applying molecular crowding models to simulations of virus capsid assembly in vitro
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Applying molecular crowding models to simulations of virus capsid assembly in vitro

机译:将分子拥挤模型应用于体外病毒衣壳装配模拟

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摘要

Virus capsid assembly has been widely studied as a biophysical system, both for its biological and medical significance and as an important model for complex self-assembly processes. No current technology can monitor assembly in detail and what information we have on assembly kinetics comes exclusively from in vitro studies. There are many differences between the intracellular environment and that of an in vitro assembly assay, however, that might be expected to alter assembly pathways. Here, we explore one specific feature characteristic of the intracellular environment and known to have large effects on macromolecular assembly processes: molecular crowding. We combine prior particle simulation methods for estimating crowding effects with coarse-grained stochastic models of capsid assembly, using the crowding models to adjust kinetics of capsid simulations to examine possible effects of crowding on assembly pathways. Simulations suggest a striking difference depending on whether or not a system uses nucleation-limited assembly, with crowding tending to promote off-pathway growth in a nonnucleation-limited model but often enhancing assembly efficiency at high crowding levels even while impeding it at lower crowding levels in a nucleation-limited model. These models may help us understand how complicated assembly systems may have evolved to function with high efficiency and fidelity in the densely crowded environment of the cell.
机译:病毒衣壳组装作为其生物和医学意义以及作为复杂的自组装过程的重要模型,已经作为一种生物物理系统得到了广泛的研究。当前没有任何技术可以详细监视装配,而我们掌握的装配动力学信息完全来自于体外研究。但是,细胞内环境与体外组装测定法之间存在许多差异,这可能会改变组装途径。在这里,我们探索细胞内环境的一种特定特征,已知对大分子组装过程影响很大:分子拥挤。我们将用于估计拥挤效应的现有粒子模拟方法与衣壳装配的粗粒度随机模型相结合,使用拥挤模型来调整衣壳模拟的动力学,以检查拥挤对装配路径的可能影响。根据系统是否使用成核受限的组装,模拟表明了惊人的差异,拥挤趋向于促进非成核受限模型中的偏离路径生长,但即使在低拥挤程度下也会阻碍其拥挤,但往往会提高组装效率在成核受限模型中这些模型可以帮助我们了解复杂的组装系统如何演变成在密集拥挤的细胞环境中高效高效地保真运转。

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