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用于理解碳水化合物及其缀合物功能的组合化学

Combinatorial chemistry toward understanding the function(s) of carbohydrates and carbohydrate conjugates.

作者信息

Barkley A, Arya P

机构信息

Chemical Biology Program, Steacie Institute for Molecular Sciences, National Research Council of Canada, Ottawa, ON.

出版信息

Chemistry. 2001 Feb 2;7(3):555-63. doi: 10.1002/1521-3765(20010202)7:3<555::aid-chem555>3.0.co;2-i.

Abstract

Combinatorial chemistry has contributed significantly to understanding the structure-function relationships of biologically important molecules such as proteins and nucleic acids. However, carbohydrates and carbohydrate conjugates, which have been identified as key modulators of several biological functions have not enjoyed the same measure of success. The complexity and synthetic challenges of carbohydrate conjugates have resulted in a number of conceptual approaches to rapidly access sufficient quantities of these biomolecules. This article summarizes these combinatorial approaches and also highlights fully automated library synthesis of artificial glycopeptides with the goals of understanding their biological roles.

摘要

组合化学在理解蛋白质和核酸等生物重要分子的结构-功能关系方面做出了重大贡献。然而,已被确定为多种生物学功能关键调节因子的碳水化合物及其缀合物却未取得同样的成功。碳水化合物缀合物的复杂性和合成挑战催生了多种概念性方法,以快速获取足够数量的这些生物分子。本文总结了这些组合方法,并着重介绍了人工糖肽的全自动化文库合成,目的是了解它们的生物学作用。

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