Jie Liu
Staff Fellow
Also affiliated: South China Agricultural University (2016–2024); Shenyang Pharmaceutical University (2011–2022); Chinese Academy of Tropical Agricultural Sciences (2025); Qingdao University (2018–2024); Jiangxi University of Traditional Chinese Medicine (2025); Hebei Medical University (2015); Agency for Science, Technology and Research (2023); Tongji University (2015–2025); Weifang Medical University (2021–2022); Guangzhou University of Chinese Medicine (2021–2025); Nanjing Agricultural University (2018–2021); Tianjin University of Traditional Chinese Medicine (2014); Beijing Institute of Technology (2020–2021); University of Science and Technology of China (2025); The University of Sydney (2016); National Institutes of Health (1996–2002); Environmental Protection Agency (2013–2025); DuPont (United States) (1997); United States Food and Drug Administration (2010–2025); United States Department of Energy (2015); Shanghai Medical College of Fudan University (2014–2017); University of Wisconsin–Madison (2012–2015); Kunming Institute of Botany (2021); Central South University (2004–2025); Anhui Agricultural University (2023–2024); Nanchang University (2022); University of British Columbia (2006–2025); Southwest University (2018); University of Louisville (2015–2023); Qingdao University of Science and Technology (2011); Anhui University (2023); University of Electronic Science and Technology of China (2023); Harbin Engineering University (2010); Shandong University (2017–2018); Harbin Medical University (2017–2019); Sun Yat-sen University (2024); Guangxi Medical University (2021); University of California, Los Angeles (2005–2010); China Pharmaceutical University (2019); Tianjin University (2023); The University of Queensland (2021); National University of Singapore (2023); Northwestern Polytechnical University (2024); Henan University (2021); State Grid Corporation of China (China) (2022); Guangdong Medical College (2021); Shanxi Medical University (2021); Chinese University of Hong Kong (2024); Shenzhen University (2022); Shanghai Jiao Tong University (2010–2016); China Medical University (2021); Northeast Normal University (2007–2009); Guangdong Pharmaceutical University (2022); Dalian Medical University (2015); Jilin University (2025); Liaocheng University (2005); Tiangong University (2021); Chinese Academy of Sciences (2017–2021); Chinese Academy of Medical Sciences & Peking Union Medical College (2009–2021); University of Washington (2015–2016); Huazhong Agricultural University (2017–2021); Beijing Jiaotong University (2021); Shanghai Normal University (2021); Sichuan University (2019–2021); Fudan University (2014–2025); Kunming Medical University (2024); Wenzhou Medical University (2023); University of Michigan (2021–2023); West China Medical Center of Sichuan University (2021); Renji Hospital (2016); Centenary Institute (2016); Ruijin Hospital (2016); Chinese PLA General Hospital (2021); Yuhuangding Hospital (2018–2024); University of Jinan (2017); University of California San Diego (2008); Northwest University (2023–2025); Guilin University of Technology (2022); Soochow University (2009); Tianjin Third Central Hospital (2021); West China Hospital of Sichuan University (2021); Shaanxi Provincial People's Hospital (2025); National Institute of Diabetes and Digestive and Kidney Diseases (1996); Second People's Hospital of Yunnan Province (2019); Gansu University of Traditional Chinese Medicine (2023); Jiaxing University (2019); Qingdao Mental Health Center (2019); China Automotive Technology and Research Center (2025); National Institute of Environmental Health Sciences (2004–2008); The Seventh Affiliated Hospital of Sun Yat-sen University (2024); Shanghai University of Traditional Chinese Medicine (2023–2024); Shandong Tumor Hospital (2010–2023); Ningbo No. 2 Hospital (2016); Nanfang Hospital (2016–2024); First Affiliated Hospital of Guangzhou University of Chinese Medicine (2021); Guangdong Provincial Hospital of Chinese Medicine (2022); Shandong Academy of Agricultural Sciences (2021); Jinan Central Hospital (2021); Tropical Crops Genetic Resources Institute (2025); Shanghai Cancer Institute (2016); National Institute of Neurological Disorders and Stroke (2002); Shanghai Institute of Organic Chemistry (2017); Affiliated Hospital of Qingdao University (2023); First Affiliated Hospital of Kunming Medical University (2024); Shanghai Research Center for Acupuncture and Meridians (2024); First Affiliated Hospital of Xi'an Jiaotong University (2021); Lanzhou University Second Hospital (2023); Peking University People's Hospital (2023–2025); Zhongshan Hospital (2025); Shanghai East Hospital (2016–2024); International Collaboration On Repair Discoveries (2025); Chinese Academy of Forestry (2021); Wuhan Union Hospital (2025); The Affiliated Yongchuan Hospital of Chongqing Medical University (2021–2023); Institute of Modern Physics (2021); Second Affiliated Hospital of Xi'an Jiaotong University (2021); Shanghai Tenth People's Hospital (2015–2025); Second Affiliated Hospital of Harbin Medical University (2017–2021); Henan Provincial People's Hospital (2011–2012); Shanghai First People's Hospital (2015); Weifang University of Science and Technology (2024–2025); Shanghai Chenshan Plant Science Research Center (2021); State Key Laboratory of Oncogene and Related Genes (2016); Shanghai Key Laboratory of Trustworthy Computing (2014–2016); Renmin Hospital of Wuhan University (2014); First Affiliated Hospital of Dalian Medical University (2015); National Cancer Institute (2004–2008); China Academy of Chinese Medical Sciences (2023); Wan Fang Hospital (2016); Wuhan Children's Hospital (2021); First Affiliated Hospital of University of South China (2022); Yantaishan Hospital (2021); Guang’anmen Hospital (2023); Ministry of Agriculture and Rural Affairs (2017); Chinese Research Academy of Environmental Sciences (2009–2019); Xijing Hospital (2008–2014); Environmental Protection Agency (2021); Huashan Hospital (2014–2017); Xiangya Hospital Central South University (2017–2025); Tongji Hospital (2024); Chinese People's Liberation Army (2020); Shanxi Provincial People’s Hospital (2013–2014); Shanghai Changning Mental Health Center (2010); Shandong First Medical University (2017–2023); University of Chinese Academy of Sciences (2021); Southwestern Institute of Physics (2016); State Grid Hebei Electric Power Company (2022); Oak Ridge Institute for Science and Education (2015–2018); Division of Cancer Epidemiology and Genetics (2023); Shanghai Artificial Intelligence Laboratory (2024); State Key Laboratory of Cancer Biology (2008–2012); State Key Laboratory of Biotherapy (2021); State Key Laboratory of Crystal Materials (2018); Leidos Biomedical Research Inc. (United States) (2023); Shenzhen Ruipuxun Academy for Stem Cell & Regenerative Medicine (2024); Suzhou Science and Technology Town Hospital (2020); Hunan Traditional Chinese Medical College (2022); Taipei Medical University (2016); Huazhong University of Science and Technology (2021–2025); University of Virginia (2021); PLA Army Service Academy (2023); Southern Medical University (2016–2024); Fujian Agriculture and Forestry University (2021); Genome Institute of Singapore (2023); East China Normal University (2014–2016); Beijing University of Chemical Technology (2023); Zhejiang University (2014); Lanzhou University (2023); Yangzhou University (2024); University of Pennsylvania (2016); Shandong University of Science and Technology (2022); Nanjing Medical University (2020–2023); Temple University (2016); Chongqing Medical University (2020–2023); Northwest A&F University (2024–2025); China Medical University (2014–2021); University of South China (2014–2024); Hebei Normal University (2019); Xinjiang University (2022); Air Force Medical University (2008–2014)
Upstream record may be merged OpenAlex, the source of these figures, lists 183 institutions in 8 countries for this author record — a pattern that usually means it combines several researchers with similar names. The totals above may include work by other people.
Research Areas
Biomedical Subjects
Links
Biography and Research Information
Metrics
- h-index: 46
- Publications: 276
- Citations: 8,110
Positions
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Staff Fellow 2020–presentU.S. Food and Drug Administration Division of Bioinformatics & Biostatistics ORCID
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Staff Fellow publications 2010–2025National Center for Toxicological Research ORCID
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Research Scientist 2016–2020Altamira LLC. ORCID
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Postdoctoral Research Fellow 2015–2016U.S. Food and Drug Administration ORCID
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Research Fellow 2008–2010U.S. Food and Drug Administration ORCID
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Research Fellow 2006–2007National Institute of Biological Sciences, Beijing ORCID
Selected Publications
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Structural insights into cannabinoid receptors CB1 and CB2: determinants of ligand selectivity (2026)
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Analysis of Structures of SARS-CoV-2 Papain-like Protease Bound with Ligands Unveils Structural Features for Inhibiting the Enzyme (2025)
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BERT-based language model for accurate drug adverse event extraction from social media: implementation, evaluation, and contributions to pharmacovigilance practices (2024)
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Machine learning and deep learning for brain tumor MRI image segmentation (2023)
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Review of machine learning and deep learning models for toxicity prediction (2023)
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Developing a SARS-CoV-2 main protease binding prediction random forest model for drug repurposing for COVID-19 treatment (2023)
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Three-Dimensional Structural Insights Have Revealed the Distinct Binding Interactions of Agonists, Partial Agonists, and Antagonists with the µ Opioid Receptor (2023)
Collaboration Network
Top Collaborators
- The MicroArray Quality Control (MAQC)-II study of common practices for the development and validation of microarray-based predictive models
- Predicting Hepatotoxicity Using ToxCastin VitroBioactivity and Chemical Structure
- Review of machine learning and deep learning models for toxicity prediction
- Machine Learning Models for Predicting Cytotoxicity of Nanomaterials
- Technical Reproducibility of Genotyping SNP Arrays Used in Genome-Wide Association Studies
Showing 5 of 18 shared publications
- Review of machine learning and deep learning models for toxicity prediction
- Machine Learning Models for Predicting Cytotoxicity of Nanomaterials
- Nanomaterial Databases: Data Sources for Promoting Design and Risk Assessment of Nanomaterials
- BPA Replacement Compounds: Current Status and Perspectives
- Deep Learning Models for Predicting Gas Adsorption Capacity of Nanomaterials
Showing 5 of 13 shared publications
- Review of machine learning and deep learning models for toxicity prediction
- Machine Learning Models for Predicting Cytotoxicity of Nanomaterials
- Nanomaterial Databases: Data Sources for Promoting Design and Risk Assessment of Nanomaterials
- Machine learning and deep learning for brain tumor MRI image segmentation
- Machine learning models for rat multigeneration reproductive toxicity prediction
Showing 5 of 12 shared publications
- Review of machine learning and deep learning models for toxicity prediction
- Deep Learning Models for Predicting Gas Adsorption Capacity of Nanomaterials
- Machine learning and deep learning for brain tumor MRI image segmentation
- Machine learning models for rat multigeneration reproductive toxicity prediction
- BERT-based language model for accurate drug adverse event extraction from social media: implementation, evaluation, and contributions to pharmacovigilance practices
Showing 5 of 7 shared publications
- The MicroArray Quality Control (MAQC)-II study of common practices for the development and validation of microarray-based predictive models
- Technical Reproducibility of Genotyping SNP Arrays Used in Genome-Wide Association Studies
- Deep Learning Models for Predicting Gas Adsorption Capacity of Nanomaterials
- Elucidation of Agonist and Antagonist Dynamic Binding Patterns in ER-α by Integration of Molecular Docking, Molecular Dynamics Simulations and Quantum Mechanical Calculations
- Developing a SARS-CoV-2 main protease binding prediction random forest model for drug repurposing for COVID-19 treatment
- Machine Learning Models for Predicting Cytotoxicity of Nanomaterials
- Nanomaterial Databases: Data Sources for Promoting Design and Risk Assessment of Nanomaterials
- BPA Replacement Compounds: Current Status and Perspectives
- Elucidation of Agonist and Antagonist Dynamic Binding Patterns in ER-α by Integration of Molecular Docking, Molecular Dynamics Simulations and Quantum Mechanical Calculations
- Machine Learning Models for Predicting Liver Toxicity
- The MicroArray Quality Control (MAQC)-II study of common practices for the development and validation of microarray-based predictive models
- Technical Reproducibility of Genotyping SNP Arrays Used in Genome-Wide Association Studies
- Next generation sequencing for profiling expression of miRNAs: technical progress and applications in drug development
- Machine Learning Models for Predicting Liver Toxicity
- Machine Learning Models for Predicting Cytotoxicity of Nanomaterials
- Nanomaterial Databases: Data Sources for Promoting Design and Risk Assessment of Nanomaterials
- BPA Replacement Compounds: Current Status and Perspectives
- Machine Learning Models for Predicting Liver Toxicity
- Review of machine learning and deep learning models for toxicity prediction
- Machine learning and deep learning for brain tumor MRI image segmentation
- Three-Dimensional Structural Insights Have Revealed the Distinct Binding Interactions of Agonists, Partial Agonists, and Antagonists with the µ Opioid Receptor
- Developing a SARS-CoV-2 main protease binding prediction random forest model for drug repurposing for COVID-19 treatment
- Predicting Hepatotoxicity Using ToxCastin VitroBioactivity and Chemical Structure
- Systematically evaluating read-across prediction and performance using a local validity approach characterized by chemical structure and bioactivity information
- Predicting Organ Toxicity Using in Vitro Bioactivity Data and Chemical Structure
- Predicting Hepatotoxicity Using ToxCastin VitroBioactivity and Chemical Structure
- Systematically evaluating read-across prediction and performance using a local validity approach characterized by chemical structure and bioactivity information
- Predicting Organ Toxicity Using in Vitro Bioactivity Data and Chemical Structure
- Review of machine learning and deep learning models for toxicity prediction
- Machine learning and deep learning for brain tumor MRI image segmentation
- Developing a SARS-CoV-2 main protease binding prediction random forest model for drug repurposing for COVID-19 treatment
- The MicroArray Quality Control (MAQC)-II study of common practices for the development and validation of microarray-based predictive models
- Technical Reproducibility of Genotyping SNP Arrays Used in Genome-Wide Association Studies
- The MicroArray Quality Control (MAQC)-II study of common practices for the development and validation of microarray-based predictive models
- Technical Reproducibility of Genotyping SNP Arrays Used in Genome-Wide Association Studies
- The MicroArray Quality Control (MAQC)-II study of common practices for the development and validation of microarray-based predictive models
- Technical Reproducibility of Genotyping SNP Arrays Used in Genome-Wide Association Studies