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受体辅助组合化学:药物发现中的热力学与动力学

Receptor-assisted combinatorial chemistry: thermodynamics and kinetics in drug discovery.

作者信息

Cheeseman Jeremy D, Corbett Andrew D, Gleason James L, Kazlauskas Romas J

机构信息

Department of Chemistry, McGill University, 801 Sherbrooke W., Montréal, QC H3A 2K6, Canada.

出版信息

Chemistry. 2005 Mar 4;11(6):1708-16. doi: 10.1002/chem.200400371.

Abstract

Current drug discovery using combinatorial chemistry involves synthesis followed by screening, but emerging methods involve receptor-assistance to combine these steps. Adding stoichiometric amounts of receptor during library synthesis alters the kinetics or thermodynamics of the synthesis in a way that identifies the best-binding library members. Three main methods have emerged thus far in receptor-assisted combinatorial chemistry: dynamic combinatorial libraries, receptor-accelerated synthesis, and a new method, pseudo-dynamic libraries. Pseudo-dynamic libraries apply both thermodynamics and kinetics to amplify library members to easily observable levels, and attain selectivity heretofore unseen in receptor-assisted systems.

摘要

当前利用组合化学进行药物发现涉及合成后再进行筛选,但新兴方法涉及受体辅助以合并这些步骤。在文库合成过程中加入化学计量的受体,会以一种识别出最佳结合文库成员的方式改变合成的动力学或热力学。迄今为止,受体辅助组合化学中已出现三种主要方法:动态组合文库、受体加速合成以及一种新方法——伪动态文库。伪动态文库同时应用热力学和动力学将文库成员扩增至易于观察的水平,并实现了受体辅助系统中前所未有的选择性。

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