Dynamic Combinatorial Chemistry - In Drug Discovery, Bioorganic Chemistry, and Materials Science
Dynamic Combinatorial Chemistry - In Drug Discovery, Bioorganic Chemistry, and Materials Science
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动态组合化学 - 在药物发现、生物有机化学和材料科学中
DOI:
10.1002/9780470551554.ch2
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发表时间:
2009
期刊:
影响因子:
--
通讯作者:
Greaney M
中科院分区:
文献类型:
--
作者:
Greaney M
The use of proteins to control the evolution of dynamic combinatorial libraries (DCLs) has been central to the development of the field, since the first publications in the area appeared in the late 1990s [1]. The proteindirected DCL concept is a simple one: A DCL of compounds is designed such that it can equilibrate in the presence of a protein. Since the library population distribution is under thermodynamic control, stabilization of one member through selective binding to the protein is expected to amplify that species at the expense of other (nonbinding) species, generating hit structures that can be identified through analysis of the DCL population distribution [2]. Protein-directed dynamic combinatorial chemistry (DCC) thus provides a method for studying, discovering, and ranking novel protein-binding ligands, concepts fundamental to medicinal chemistry [3–6]. In these terms, the DCC process bridges the gap between chemical synthesis of drug candidates and their biological binding assay, meshing the two operations into a single process whereby the structure of the biological target directs the assembly of its own best inhibitor in situ. Protein targets are challenging templates to work with in DCC. Their sensitivity to pH, temperature, and chemical reagents places significant restraint on the synthetic chemistry that can be successfully used in