化学选择性
点击化学
药物发现
模块化(生物学)
化学
计算机科学
组合化学
纳米技术
计算生物学
有机化学
生物化学
材料科学
生物
催化作用
遗传学
作者
Jiaojiao Dai,Xing Xue,Xiangyi Jiang,Xinyong Liu,Peng Zhan
标识
DOI:10.1080/17460441.2025.2552146
摘要
Click chemistry serves as a powerful enabler of accelerated drug discovery and development. Nevertheless, its clinical translation faces challenges such as physiological interference, pharmacokinetic requirements, and the potential toxicity of metal catalysts. Going forward, research should prioritize optimizing click chemistry reactions to enhance biocompatibility, safety, and stability. Meanwhile, combining click chemistry with artificial intelligence offers promise for identifying structurally diverse candidate molecules that are also synthetically feasible.
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