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从简单的合成复制器网络生成系统级响应。

Generating System-Level Responses from a Network of Simple Synthetic Replicators.

机构信息

School of Chemistry and EaStCHEM, University of St Andrews , North Haugh, St Andrews, Fife KY16 9ST, United Kingdom.

出版信息

J Am Chem Soc. 2017 Dec 6;139(48):17565-17573. doi: 10.1021/jacs.7b09735. Epub 2017 Nov 17.

Abstract

The creation of reaction networks capable of exhibiting responses that are properties of entire systems represents a significant challenge for the chemical sciences. The system-level behavior of a reaction network is linked intrinsically to its topology and the functional connections between its nodes. A simple network of chemical reactions constructed from four reagents, in which each reagent reacts with exactly two others, can exhibit up-regulation of two products even when only a single chemical reaction is addressed catalytically. We implement a system with this topology using two maleimides and two nitrones of different sizes-either short or long and each bearing complementary recognition sites-that react pairwise through 1,3-dipolar cycloaddition reactions to create a network of four length-segregated replicating templates. Comprehensive H NMR spectroscopy experiments unravel the network topology, confirming that, in isolation, three out of four templates self-replicate, with the shortest template exhibiting the highest efficiency. The strongest template effects within the network are the mutually cross-catalytic relationships between the two templates of intermediate size. The network topology is such that the addition of different preformed templates as instructions to a mixture of all starting materials elicits system-level behavior. Instruction with a single template up-regulates the formation of two templates in a predictable manner. These results demonstrate that the rules governing system-level behavior can be unraveled through the application of wholly synthetic networks with well-defined chemistries and interactions.

摘要

能够表现出整个系统属性的反应网络的创建,代表了化学科学的一个重大挑战。反应网络的系统级行为与其拓扑结构以及节点之间的功能连接内在相关。由四个试剂构建的一个简单化学反应网络,其中每个试剂与恰好两个其他试剂反应,即使仅催化单个化学反应,也可以表现出两种产物的上调。我们使用两个大小不同的马来酰亚胺和两个硝酮(短或长,每个都带有互补的识别位点)来实现这种拓扑结构的系统,它们通过 1,3-偶极环加成反应成对反应,从而创建一个具有四个长度分隔的复制模板的网络。全面的 H NMR 光谱实验揭示了网络拓扑结构,证实了在孤立状态下,四个模板中的三个自我复制,最短的模板效率最高。网络中最强的模板效应是两个中等大小模板之间的相互交叉催化关系。网络拓扑结构使得将不同的预形成模板作为指令添加到所有起始材料的混合物中,可以引发系统级行为。使用单个模板进行指令可以以可预测的方式上调两种模板的形成。这些结果表明,通过应用具有明确定义化学性质和相互作用的完全合成网络,可以揭示出系统级行为的规则。

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