Structure-based methods for predicting target mutation-induced drug resistance and rational drug design to overcome the problem.
Structure-based methods for predicting target mutation-induced drug resistance and rational drug design to overcome the problem.
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DOI：
10.1016/j.drudis.2012.06.018
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发表时间：
2012-10
影响因子：
7.4
通讯作者：
Zhan, Chang-Guo
中科院分区：
文献类型：
--
作者：
Hao, Ge-Fei;Yang, Guang-Fu;Zhan, Chang-Guo
Drug resistance has become one of the biggest challenges in drug discovery/development and attracted great research interests worldwide. During the last decade, computational strategies have been developed to predict target mutation-induced drug resistance. Meanwhile, various molecular design strategies, including targeting protein backbone, targeting highly conserved residues, and dual/multiple targeting, have been used to design novel inhibitors for combating the drug resistance. This is a brief review of recent advances in development of computational methods for target mutation-induced drug resistance prediction and strategies for rational design of novel inhibitors that could be effective also against the possible drug-resistant mutants of the target.
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