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Rational Design of Organelle-Targeted Fluorescent Probes: Insights from Artificial Intelligence

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成果类型:
期刊论文
作者:
Dong, Jie;Qian, Jie;Yu, Kunqian;Huang, Shuai;Cheng, Xiang;...
作者机构:
[Chen, Fei; Dong, Jie; Zeng, Wenbin; Huang, Shuai; Cheng, Xiang] Cent South Univ, Xiangya Sch Pharmaceut Sci, Changsha, Peoples R China.
[Qian, Jie] Cent South Univ Forestry & Technol, Natl Engn Res Ctr Rice & Byproduct Deep Proc, Sch Food Sci & Engn, Changsha 410004, Peoples R China.
[Yu, Kunqian; Jiang, Hualiang] Chinese Acad Sci, Shanghai Inst Mat Med, Drug Discovery & Design Ctr, State Key Lab Drug Res, Shanghai 201203, Peoples R China.
语种:
英文
期刊:
研究(英文)
ISSN:
2096-5168
年:
2023
卷:
2023
基金类别:
National Natural Science Foundation of China [22003078, 82272067, M-0696]; Central South University Innovation -Driven Research Program [2023CXQD004, 2023QYJC021]
机构署名:
本校为其他机构
院系归属:
食品科学与工程学院
摘要:
Monitoring the physiological changes of organelles is essential for understanding the local biological information of cells, and for improving the diagnosis and therapy of diseases. Currently, fluorescent probes are considered as the most powerful tools for imaging and have been widely applied in biomedical fields. However, the expected targeting effects of these probes are often inconsistent with the real experiments. The design of fluorescent probes mainly depends on the empirical knowledge of researchers, which was inhibited by limited chemical space and low efficiency. Herein, we proposed ...

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