Covalent Template-Directed Synthesis

共价模板定向合成

• 批准号: 2275902
• 金额: --
• 依托单位: University of Cambridge
• 依托单位国家: 英国
• 项目类别: Studentship
• 财政年份: 2019
• 资助国家: 英国
• 起止时间: 2019 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=studentship-2275902
• 关键词: Covalent; Template; Directed; Synthesis

Oligomeric molecules composed of defined sequences of different building blocks represent a huge area of as yet unexplored chemical space. The nanotechnology that constitutes the natural world is built almost entirely from such molecules, i.e. proteins and nucleic acids. Nature teaches us that sequence polymers are likely to provide access to a wide range of functionality that is not accessible with small molecules or conventional synthetic polymers. The problem with synthetic sequence polymers is that we do not have useful tools to make them. Biology uses nucleic acid templates both for synthesis of long chains of defined sequence, and for evolutionary searching of sequence space to find which sequences have interesting properties. Thus the development of efficient template synthesis protocols would open the way to exploitation of synthetic sequence polymers. An abiological version of the in vitro selection experiment would allow exploration of sequence space to identify new functional synthetic polymers. The aim of this project is to develop a powerful new chemical approach for reliable template synthesis. Biology uses hydrogen-bonds to bind monomers to a template, and in principle, the same strategy could by applied to synthetic sequence polymers. However, there are major limitations in using non-covalent chemistry for such templating processes. If we are to find a reliable chemical method for template synthesis, a different approach will be required. This project will explore an alternative to non-covalent templating, covalent templating using labile covalent chemistry.

由不同结构单元的确定序列组成的低聚分子代表了尚未探索的化学空间的巨大区域。构成自然世界的纳米技术几乎完全由这些分子，即蛋白质和核酸组成。大自然告诉我们，序列聚合物可能提供小分子或常规合成聚合物无法获得的广泛功能。合成序列聚合物的问题在于我们没有有用的工具来制造它们。生物学使用核酸模板来合成定义序列的长链，并用于序列空间的进化搜索以发现哪些序列具有有趣的特性。因此，有效的模板合成方案的发展将开辟道路，开发合成序列聚合物。一个非生物学版本的体外选择实验将允许探索序列空间，以确定新的功能合成聚合物。该项目的目的是开发一种强大的新的化学方法，用于可靠的模板合成。生物学使用氢键将单体结合到模板上，原则上，相同的策略可以应用于合成序列聚合物。然而，在使用非共价化学用于此类模板化过程中存在主要限制。如果我们要找到一种可靠的化学方法来合成模板，就需要一种不同的方法。这个项目将探索一种替代非共价模板，共价模板使用不稳定的共价化学。