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ORCIDChaofeng Lou
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2020 – today
- 2023
[j6]Chaofeng Lou, Hongbin Yang, Hua Deng, Mengting Huang, Weihua Li, Guixia Liu, Philip W. Lee, Yun Tang:
Chemical rules for optimization of chemical mutagenicity via matched molecular pairs analysis and machine learning methods. J. Cheminformatics 15(1): 35 (2023)- 2022
- [j5]Jiye Wang, Chaofeng Lou, Guixia Liu, Weihua Li, Zengrui Wu
, Yun Tang:
Profiling prediction of nuclear receptor modulators with multi-task deep learning methods: toward the virtual screening. Briefings Bioinform. 23(5) (2022) - [j4]Yimeng Wang, Yaxin Gu, Chaofeng Lou, Yuning Gong, Zengrui Wu, Weihua Li, Yun Tang, Guixia Liu:
A multitask GNN-based interpretable model for discovery of selective JAK inhibitors. J. Cheminformatics 14(1): 16 (2022) - [j3]Mengting Huang, Chaofeng Lou, Zengrui Wu, Weihua Li, Philip W. Lee, Yun Tang, Guixia Liu:
In silico prediction of UGT-mediated metabolism in drug-like molecules via graph neural network. J. Cheminformatics 14(1): 46 (2022) - [j2]Chaofeng Lou, Hongbin Yang, Jiye Wang, Mengting Huang, Weihua Li, Guixia Liu, Philip W. Lee, Yun Tang:
IDL-PPBopt: A Strategy for Prediction and Optimization of Human Plasma Protein Binding of Compounds via an Interpretable Deep Learning Method. J. Chem. Inf. Model. 62(11): 2788-2799 (2022)
2010 – 2019
- 2019
- [j1]Hongbin Yang, Chaofeng Lou, Lixia Sun, Jie Li, Yingchun Cai, Zhuang Wang, Weihua Li, Guixia Liu, Yun Tang:
admetSAR 2.0: web-service for prediction and optimization of chemical ADMET properties. Bioinform. 35(6): 1067-1069 (2019)
Coauthor Index
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