G
Guixia Liu
Researcher at East China University of Science and Technology
Publications - 189
Citations - 7103
Guixia Liu is an academic researcher from East China University of Science and Technology. The author has contributed to research in topics: Medicine & Computer science. The author has an hindex of 34, co-authored 156 publications receiving 4954 citations. Previous affiliations of Guixia Liu include Chinese Academy of Sciences & East China Normal University.
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Concise CuI-Catalyzed Azide–Alkyne 1,3-Dipolar Cycloaddition Reaction Ligation Remarkably Enhances the Corrosion Inhibitive Potency of Natural Amino Acids for Mild Steel in HCl
Qiong Deng,Xiao-Peng He,Hong-Wei Shi,Bao-Qin Chen,Guixia Liu,Yun Tang,Yi-Tao Long,Guo-Rong Chen,Kaixian Chen +8 more
TL;DR: Electrochemical impedance spectroscopy (EIS) evidenced that the inhibitive effect of these compounds for mild steel in 1 M HCl is markedly better than that of currently used corrosion inhibitors.
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In silico prediction of pesticide aquatic toxicity with chemical category approaches.
TL;DR: This study provides a useful tool for an early evaluation of pesticide aquatic toxicity in environmental risk assessment by using binary and ternary classification models constructed to predict aquatic toxicity via six machine learning methods.
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3D-QSAR studies on fluoropyrrolidine amides as dipeptidyl peptidase IV inhibitors by CoMFA and CoMSIA
TL;DR: Three-dimensional quantitative structure-activity relationship analyses using CoMFA and CoMSIA methods were conducted on a series of fluoropyrrolidine amides as dipeptidyl peptidase IV (DP-IV) inhibitors, providing the guide for designing new potent inhibitors.
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Quantitative and systems pharmacology 2. In silico polypharmacology of G protein-coupled receptor ligands via network-based approaches.
Zengrui Wu,Weiqiang Lu,Weiwei Yu,Tianduanyi Wang,Weihua Li,Guixia Liu,Zhang Hankun,Xiufeng Pang,Jin Huang,Mingyao Liu,Mingyao Liu,Feixiong Cheng,Feixiong Cheng,Yun Tang +13 more
TL;DR: This study reconstructed both global and local drug‐target interaction networks for human GPCRs and experimentally validated that two newly predicted compounds, AM966 and Ki16425, showed high binding affinities on prostaglandin E2 receptor EP4 subtype.
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Drug repositioning by prediction of drug's anatomical therapeutic chemical code via network-based inference approaches.
Yayuan Peng,Manjiong Wang,Yixiang Xu,Zengrui Wu,Jiye Wang,Chao Zhang,Guixia Liu,Weihua Li,Jian Li,Yun Tang +9 more
TL;DR: Experiments in vitro confirmed that 8 of the 22 old drugs have shown mild to potent cardioprotective activities on both hypoxia model and oxygen-glucose deprivation model, which demonstrated that the STD-ATC prediction model would be an effective tool for drug repositioning.