Suppr超能文献

无痕迹固相有机合成。

Traceless Solid-Phase Organic Synthesis.

机构信息

Department of Organic Chemistry, Faculty of Science , Palacky University , 17. Listopadu 12 , Olomouc , 771 46 , Czech Republic.

Department of Chemistry and Biochemistry , University of Notre Dame , 251 Nieuwland Science Center , Notre Dame , Indiana 46556 , United States.

出版信息

Chem Rev. 2019 Dec 26;119(24):12089-12207. doi: 10.1021/acs.chemrev.9b00465. Epub 2019 Nov 20.

Abstract

Traceless solid-phase synthesis represents an ultimate sophisticated synthetic strategy on insoluble supports. Compounds synthesized on solid supports can be released without a trace of the linker that was used to tether the intermediates during the synthesis. Thus, the target products are composed only of the components (atoms, functional groups) inherent to the target core structure. A wide variety of synthetic strategies have been developed to prepare products in a traceless manner, and this review is dedicated to all aspects of traceless solid-phase organic synthesis. Importantly, the synthesis does not need to be carried out on a linker designed for traceless synthesis; most of the synthetic approaches described herein were developed using standard, commercially available linkers (originally devised for solid-phase peptide synthesis). The type of structure prepared in a traceless fashion is not restricted. The individual synthetic approaches are divided into eight sections, each devoted to a different methodology for traceless synthesis. Each section consists of a brief outline of the synthetic strategy followed by a description of individual reported syntheses.

摘要

无痕迹固相合成代表了在不溶性载体上的终极复杂合成策略。在固体载体上合成的化合物可以在没有使用任何连接子的情况下释放,这些连接子在合成过程中用于连接中间体。因此,目标产物仅由目标核心结构固有组成部分(原子、官能团)组成。已经开发了多种合成策略来以无痕迹的方式制备产物,本综述致力于无痕迹固相有机合成的各个方面。重要的是,合成不一定需要在为无痕迹合成设计的连接子上进行;本文描述的大多数合成方法都是使用标准的、市售的连接子(最初设计用于固相肽合成)开发的。以无痕迹方式制备的结构类型不受限制。各个合成方法分为八个部分,每个部分都致力于无痕迹合成的不同方法。每个部分都包括对合成策略的简要概述,然后是对各个报道合成的描述。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验