Chen Hongye, Abe Tsukasa, Chai Runyu, Hiraoka Shuichi
Department of Basic Science, Graduate School of Arts and Sciences, The University of Tokyo, Tokyo, Japan.
Nat Commun. 2025 May 22;16(1):4387. doi: 10.1038/s41467-025-59181-8.
Selection of a suitable species from a dynamic library in response to external stimuli is a key event in evolution, adaptation, and switching. The desymmetrization of building blocks enables the generation of configurational isomers for self-assembly, which is a rational approach to creating a complicated dynamic library without increasing the variety of components. However, because of their structural similarity, the selection of isomers from such a dynamic library is challenging. Here we show an artificial molecular system in which two types of self-assemblies are separately selected from a dynamic library consisting of 16 configurational isomers of hexameric cube-shaped entities assembled from C-symmetric gear-shaped amphiphiles upon binding two or three guest molecules. The two types of isomers were selected not only by the induced-fit selection caused by the guest molecules but also by the induction of the spatial arrangements of the guest molecules in the cluster by the assemblies. These results indicate that mutual multivariant optimization is a hidden strategy to create order from chaos in complicated systems.
从动态库中响应外部刺激选择合适的物种是进化、适应和转换中的关键事件。构建模块的去对称化能够产生用于自组装的构型异构体,这是一种在不增加组件种类的情况下创建复杂动态库的合理方法。然而,由于它们的结构相似性,从这样的动态库中选择异构体具有挑战性。在这里,我们展示了一个人工分子系统,其中两种类型的自组装分别从一个动态库中被选择,该动态库由16种六聚体立方体形实体的构型异构体组成,这些实体由C对称齿轮形两亲分子在结合两个或三个客体分子时组装而成。这两种类型的异构体不仅通过客体分子引起的诱导契合选择,还通过组装体对簇中客体分子空间排列的诱导来选择。这些结果表明,相互多变量优化是在复杂系统中从混沌中创造秩序的隐藏策略。