K
Kaixian Chen
Researcher at Chinese Academy of Sciences
Publications - 403
Citations - 11476
Kaixian Chen is an academic researcher from Chinese Academy of Sciences. The author has contributed to research in topics: Virtual screening & Chemistry. The author has an hindex of 47, co-authored 380 publications receiving 9209 citations. Previous affiliations of Kaixian Chen include Shanghai University & East China University of Science and Technology.
Papers
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Journal Article
Building three-dimensional structures of HIV-1 coreceptor CCR5 and its interaction with antagonist TAK779 by comparative molecular modeling.
TL;DR: The model constructed and the interaction mode reported in the present study are useful in further understanding the molecular mechanism of receptor-virus recognition and designing new inhibitors of HIV-1 infection.
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‘Pungent’ Copper Surface Resists Acid Corrosion in Strong HCl Solutions
Liang Cai,Qing Fu,Rongwei Shi,Yun Tang,Yi-Tao Long,Xiao-Peng He,Yu Jin,Guixia Liu,Guo-Rong Chen,Kaixian Chen +9 more
TL;DR: Piperine, the major pungent component of peppers, has the best corrosion inhibitive efficiency for copper in HCl among four analogous amide alkaloids isolated from a traditional Chinese medicine as mentioned in this paper.
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Palladium-catalyzed [4 + 3] dearomatizing cycloaddition reaction of N-iminoquinolinium ylides
Wenhao Dai,Wenhao Dai,Chunpu Li,Yichu Liu,Xu Han,Xingjun Li,Xingjun Li,Kaixian Chen,Kaixian Chen,Hong Liu,Hong Liu +10 more
TL;DR: A palladium-catalyzed [4 + 3] dearomatizing cycloaddition of N-iminoquinolinium ylides has been developed for the construction of saturated seven-membered ring in good yields and features mild reaction conditions and good functional group tolerance.
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Function-Oriented Synthesis of Marine Phidianidine Derivatives as Potential PTP1B Inhibitors with Specific Selectivity.
TL;DR: A series of phidianidine derivatives were designed and rapidly synthesized with a function-oriented synthesis (FOS) strategy, and several compounds displayed significant inhibitory potency and specific selectivity over PTP1B.
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Solution-Phase DNA-Compatible Pictet-Spengler Reaction Aided by Machine Learning Building Block Filtering.
Li Ke,Xiaohong Liu,Sixiu Liu,Yulong An,Yanfang Shen,Qingxia Sun,Xiaodong Shi,Wenji Su,Weiren Cui,Zhiqiang Duan,Kuai Letian,Yang Hongfang,Alexander L. Satz,Kaixian Chen,Kaixian Chen,Hualiang Jiang,Hualiang Jiang,Mingyue Zheng,Peng Xuanjia,Xiaojie Lu +19 more
TL;DR: A machine learning algorithm has been developed that predicts the conversion rate for the DNA-compatible reaction of a building block with a model DNA-conjugate, allowing for a challenging reaction, with an otherwise very low building block pass rate in the test reaction, to still be used in DEL synthesis.