Functional Hydrogen-Bonded Self-Sorting Networks

功能性氢键自排序网络

• 批准号: EP/T011726/1
• 负责人: Andrew Wilson
• 金额: $ 57.88万
• 依托单位: University of Leeds
• 依托单位国家: 英国
• 项目类别: Research Grant
• 财政年份: 2020
• 资助国家: 英国
• 起止时间: 2020 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=EP%2FT011726%2F1
• 关键词: Functional; Hydrogen; Bonded; Self; Sorting

In biology, multiple processes occur simultaneously to perform the functions necessary for life e.g. manufacture and destruction of cells. To do this, multicomponent architectures comprising several different components or building blocks (e.g. proteins) must assemble with exquisite control at the right time and in the right place. Such multiple component architectures may also need to disassemble and reassemble into new architectures with different function at another time. These systems can therefore be considered as networks that form different functional architectures in an environmentally responsive manner. What makes the assembly and function of such architectures possible is self-sorting - the ability of one component to recognise its correct partner component(s) in the presence of many others. Synthetic chemistry is not yet capable of mimicking functional self-sorting networks. This research will address this challenge and develop the first non-natural (synthetic) functional self-sorting networks. We will use patterns of hydrogen-bonding motifs (HBMs), which mimic the DNA base pairs used to store genetic information, to construct self-sorting networks. We will then use these HBMS to control a series of catalytic and iterative synthetic chemistry processes. In the long term such methods could be used to prepare industrially important fine chemicals and pharmaceuticals in a similar manner to assembly lines used in modern manufacturing, offering advantages in complexity and efficiency.

在生物学中，多个过程同时发生以执行生命所需的功能，例如细胞的制造和破坏。为此，包含多个不同组件或构建块（例如蛋白质）的多组件架构必须在正确的时间和正确的位置以精确的控制进行组装。这种多组件架构还可能需要在另一个时间拆卸和重新组装成具有不同功能的新架构。因此，这些系统可以被视为以环境响应方式形成不同功能架构的网络。使这种架构的组装和功能成为可能的是自分类——一个组件在存在许多其他组件的情况下识别其正确的伙伴组件的能力。合成化学尚无法模仿功能性自排序网络。这项研究将解决这一挑战并开发第一个非自然（合成）功能自排序网络。我们将使用氢键基序 (HBM) 模式来构建自排序网络，该模式模仿用于存储遗传信息的 DNA 碱基对。然后我们将使用这些 HBMS 来控制一系列催化和迭代合成化学过程。从长远来看，这种方法可用于制备工业上重要的精细化学品和药品，其方式与现代制造业中使用的装配线类似，具有复杂性和效率方面的优势。

项目成果

Direct Detection of Hydrogen Bonds in Supramolecular Systems Using 1H-15N Heteronuclear Multiple Quantum Coherence Spectroscopy.

使用 1H-15N 异核多量子相干光谱直接检测超分子系统中的氢键。

• DOI: http://dx.10.1021/jacs.2c10742
• 发表时间: 2022
• 期刊: Journal of the American Chemical Society
• 影响因子: 15
• 作者: Jinks MA

Visible-light driven multistate assembly of hydrogen bonding foldamers

可见光驱动氢键折叠器的多态组装

• DOI: http://dx.10.26434/chemrxiv-2023-lpp8t
• 发表时间: 2023
• 作者: Hilton E

Visible-Light Driven Control Over Triply and Quadruply Hydrogen-Bonded Supramolecular Assemblies.

对三重和四重氢键超分子组件的可见光驱动控制。

• DOI: http://dx.10.1002/chem.202304033
• 发表时间: 2024
• 期刊: Chemistry (Weinheim an der Bergstrasse, Germany)
• 作者: Hilton EM

Direct Detection of Hydrogen Bonds in Supramolecular Systems Using 1H-15N HMQC

使用 1H-15N HMQC 直接检测超分子系统中的氢键

• DOI: http://dx.10.26434/chemrxiv-2022-8z7rv
• 发表时间: 2022
• 作者: Jinks M