模棱两可
计算机科学
化学
高分子
鉴定(生物学)
生物系统
计算生物学
组合化学
生物
生物化学
程序设计语言
植物
作者
Priska Frei,Rachel Hevey,Beat Ernst
标识
DOI:10.1002/chem.201803365
摘要
Abstract Dynamic combinatorial chemistry (DCC) has repeatedly proven to be an effective approach to generate directed ligand libraries for macromolecular targets. In the absence of an external stimulus, a dynamic library forms from reversibly reacting building blocks and reaches a stable thermodynamic equilibrium. However, upon addition of a macromolecular host which can bind and stabilize certain components of the library, the equilibrium composition changes and induces an evolution‐like selection and enrichment of high‐affinity ligands. A valuable application of this so‐called target‐directed DCC (tdDCC) is the identification of potent ligands for pharmacologically relevant targets. Over time, the term tdDCC has been applied to describe a number of different experimental setups, leading to some ambiguity concerning its definition. This article systematically classifies known procedures for tdDCC and related approaches, with a special focus on the methods used for analysis and evaluation of experiments.
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