论文标题
进化的相互作用稳定了多组分液体中的许多共存阶段
Evolved interactions stabilize many coexisting phases in multicomponent liquids
论文作者
论文摘要
相位分离已成为生物细胞内空间组织的重要概念。但是，尽管几乎与所有生理功能都有明显的相关性，但我们对许多相互作用组件的系统（例如细胞中）中的哪些阶段形式几乎没有理解。在这里，我们介绍了一种基于物理松弛动力学的新数值方法，以研究此类系统中的共存阶段。我们使用我们的方法来优化组件之间的相互作用，类似于进化如何优化蛋白质的相互作用。尽管在初始组成中存在很大的不确定性，但这些进化的相互作用强劲地导致了定义的阶段，而随机或设计的相互作用的性能差得多。此外，优化的交互作用对扰动是可靠的，并且可以快速适应新的目标阶段计数。因此，我们表明蛋白质的遗传编码相互作用提供了相位行为的多功能控制。我们系统中形成的阶段也是一个稳健的新兴特性的具体示例，不依赖于单个成分的参数进行微调。
Phase separation has emerged as an essential concept for the spatial organization inside biological cells. However, despite the clear relevance to virtually all physiological functions, we understand surprisingly little about what phases form in a system of many interacting components, like in cells. Here, we introduce a new numerical method based on physical relaxation dynamics to study the coexisting phases in such systems. We use our approach to optimize interactions between components, similar to how evolution might have optimized the interactions of proteins. These evolved interactions robustly lead to a defined number of phases, despite substantial uncertainties in the initial composition, while random or designed interactions perform much worse. Moreover, the optimized interactions are robust to perturbations and they allow fast adaption to new target phase counts. We thus show that genetically encoded interactions of proteins provide versatile control of phase behavior. The phases forming in our system are also a concrete example of a robust emergent property that does not rely on fine-tuning the parameters of individual constituents.
