Wenjing Guo
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Also affiliated: Jiangxi University of Traditional Chinese Medicine (2020–2021); Shanghai University (2022); Hunan University of Science and Technology (2019); University of Science and Technology of China (2018–2023); United States Food and Drug Administration (2018–2026); Nanjing University of Finance and Economics (2005); Nanchang University (2025); Southwest University (2014); Xidian University (2003); China Pharmaceutical University (2020–2024); Hefei University of Technology (2025); Southwest Petroleum University (2020); Huaibei Normal University (2013); City University of Hong Kong (2016–2021); Henan University (2024); Donghua University (2022); South China Normal University (2010–2011); Chinese Academy of Sciences (2019–2025); Peking University (2022–2024); Sichuan University (2020–2023); Dalian University of Technology (2021–2022); West China Medical Center of Sichuan University (2020–2023); Shandong Normal University (2022); Guangzhou Institutes of Biomedicine and Health (2019–2025); China University of Geosciences (Beijing) (2023); Gansu University of Traditional Chinese Medicine (2021–2023); State Key Laboratory of Oil and Gas Reservoir Geology and Exploitation (2020); Zhejiang Cancer Hospital (2016–2020); Shandong Xiehe University (2025–2026); Hefei National Center for Physical Sciences at Nanoscale (2023); Guangzhou Regenerative Medicine and Health Guangdong Laboratory (2020); First Affiliated Hospital of Xinxiang Medical University (2023); Institute of Microbiology (2024–2025); Xi’an University of Posts and Telecommunications (2023–2025); GlaxoSmithKline (China) (2011); First Affiliated Hospital of Bengbu Medical College (2020–2023); State Key Laboratory of Respiratory Disease (2021); Guangzhou Eighth People's Hospital (2021–2025); Tongji Hospital (2020–2022); University of Chinese Academy of Sciences (2020–2025); State Key Laboratory of Biogeology and Environmental Geology (2023); State Key Laboratory of Natural Medicine (2020–2022); Shandong Institute of Petroleum and Chemical Technology (2023); Huazhong University of Science and Technology (2020–2022); University at Buffalo, State University of New York (2018–2019); Shanghai Institute of Technology (2019–2021); Zhejiang University (2012); Shandong University of Science and Technology (2018–2020); Henan Medical University (2023); Fuzhou University (2015); University of Hong Kong (2013–2014); Northwest A&F University (2021); Guangzhou Medical University (2019–2025); University of Science and Technology Beijing (2024–2025); Xinjiang University (2025)
Research Areas
Biomedical Subjects
Links
Biography and Research Information
OverviewAI-generated summary
Wenjing Guo's research focuses on the application of machine learning and deep learning models for predicting the toxicity of various substances, including nanomaterials. Guo has also investigated the role of specific cellular mechanisms, such as Sirt1 overexpression in promoting neurite outgrowth and cell survival through mTOR signaling inhibition, and the mechanism of TRPM2-Ca2+-CAMK2-BECN1 signaling in oxidative stress-induced autophagy inhibition. Additionally, Guo has explored the use of vacuolin-1 to inhibit autophagosome-lysosome fusion and the application of histone deacetylase inhibitors in glioblastoma.
Guo is a highly cited researcher with 198 total publications and 3,670 total citations, and an h-index of 31. Guo leads a research group and collaborates with several colleagues at the National Center for Toxicological Research, including Huixiao Hong (17 shared publications), Tucker A. Patterson (14 shared publications), Fan Dong (9 shared publications), and Sugunadevi Sakkiah (7 shared publications). Guo's recent work includes a 2023 review on machine learning and deep learning models for toxicity prediction and a 2022 publication on machine learning models for predicting the cytotoxicity of nanomaterials. Previous work has also addressed persistent organic pollutants in food and the role of decellularized spinal cord matrix hydrogel in spinal cord injury.
Metrics
- h-index: 31
- Publications: 191
- Citations: 3,658
Selected Publications
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Machine Learning in Drug-induced Adverse Reaction Modeling: Case Studies of Drug-induced Cardiotoxicity Modeling (2026)
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Structural insights into cannabinoid receptors CB1 and CB2: determinants of ligand selectivity (2026)
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Identifying Sex Differences in Adverse Events Reported on Opioid Drugs in the FDA’s Adverse Event Reporting System (FAERS) (2026)
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Pharmacovigilance in the digital age: gaining insight from social media data (2025)
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A refined set of RxNorm drug names for enhancing unstructured data analysis in drug safety surveillance (2025)
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Developing predictive models for µ opioid receptor binding using machine learning and deep learning techniques (2025)
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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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Development of a comprehensive open access “molecules with androgenic activity resource (MAAR)” to facilitate risk assessment of chemicals (2024)
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Unlocking the potential of AI: Machine learning and deep learning models for predicting carcinogenicity of chemicals (2024)
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Machine learning and deep learning approaches for enhanced prediction of hERG blockade: a comprehensive QSAR modeling study (2024)
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Decoding the κ Opioid Receptor (KOR): Advancements in Structural Understanding and Implications for Opioid Analgesic Development (2024)
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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)
Collaboration Network
Top Collaborators
- Persistent Organic Pollutants in Food: Contamination Sources, Health Effects and Detection Methods
- Review of machine learning and deep learning models for toxicity prediction
- Machine Learning Models for Predicting Cytotoxicity of Nanomaterials
- Similarities and differences between variants called with human reference genome HG19 or HG38
- Nanomaterial Databases: Data Sources for Promoting Design and Risk Assessment of Nanomaterials
Showing 5 of 39 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
- Elucidating Interactions Between SARS-CoV-2 Trimeric Spike Protein and ACE2 Using Homology Modeling and Molecular Dynamics Simulations
- Machine learning and deep learning for brain tumor MRI image segmentation
Showing 5 of 26 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 23 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 and deep learning approaches for enhanced prediction of hERG blockade: a comprehensive QSAR modeling study
- Machine learning models for rat multigeneration reproductive toxicity prediction
Showing 5 of 18 shared publications
- Persistent Organic Pollutants in Food: Contamination Sources, Health Effects and Detection Methods
- Machine Learning Models for Predicting Cytotoxicity of Nanomaterials
- Similarities and differences between variants called with human reference genome HG19 or HG38
- Nanomaterial Databases: Data Sources for Promoting Design and Risk Assessment of Nanomaterials
- Elucidating Interactions Between SARS-CoV-2 Trimeric Spike Protein and ACE2 Using Homology Modeling and Molecular Dynamics Simulations
Showing 5 of 16 shared publications
- Persistent Organic Pollutants in Food: Contamination Sources, Health Effects and Detection Methods
- Similarities and differences between variants called with human reference genome HG19 or HG38
- Assessing reproducibility of inherited variants detected with short-read whole genome sequencing
- Elucidating Interactions Between SARS-CoV-2 Trimeric Spike Protein and ACE2 Using Homology Modeling and Molecular Dynamics Simulations
- Structural Changes Due to Antagonist Binding in Ligand Binding Pocket of Androgen Receptor Elucidated Through Molecular Dynamics Simulations
Showing 5 of 14 shared publications
- Persistent Organic Pollutants in Food: Contamination Sources, Health Effects and Detection Methods
- Similarities and differences between variants called with human reference genome HG19 or HG38
- Deep Learning Models for Predicting Gas Adsorption Capacity of Nanomaterials
- Structural Changes Due to Antagonist Binding in Ligand Binding Pocket of Androgen Receptor Elucidated Through Molecular Dynamics Simulations
- Machine learning and deep learning approaches for enhanced prediction of hERG blockade: a comprehensive QSAR modeling study
Showing 5 of 11 shared publications
- Persistent Organic Pollutants in Food: Contamination Sources, Health Effects and Detection Methods
- Similarities and differences between variants called with human reference genome HG19 or HG38
- Structural Changes Due to Antagonist Binding in Ligand Binding Pocket of Androgen Receptor Elucidated Through Molecular Dynamics Simulations
- Computational prediction models for assessing endocrine disrupting potential of chemicals
- Machine Learning Models for Predicting Liver Toxicity
Showing 5 of 11 shared publications
- Similarities and differences between variants called with human reference genome HG19 or HG38
- Assessing reproducibility of inherited variants detected with short-read whole genome sequencing
- Structural Changes Due to Antagonist Binding in Ligand Binding Pocket of Androgen Receptor Elucidated Through Molecular Dynamics Simulations
- Computational prediction models for assessing endocrine disrupting potential of chemicals
- Correction to: Similarities and differences between variants called with human reference genome HG19 or HG38
Showing 5 of 9 shared publications
- Persistent Organic Pollutants in Food: Contamination Sources, Health Effects and Detection Methods
- Assessing reproducibility of inherited variants detected with short-read whole genome sequencing
- Elucidating Interactions Between SARS-CoV-2 Trimeric Spike Protein and ACE2 Using Homology Modeling and Molecular Dynamics Simulations
- Machine Learning Models for Predicting Liver Toxicity
- Informing selection of drugs for COVID-19 treatment through adverse events analysis
Showing 5 of 9 shared publications
- 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
- Developing predictive models for µ opioid receptor binding using machine learning and deep learning techniques
- QSAR models for predicting in vivo reproductive toxicity
Showing 5 of 8 shared publications
- Machine Learning Models for Predicting Cytotoxicity of Nanomaterials
- Nanomaterial Databases: Data Sources for Promoting Design and Risk Assessment of Nanomaterials
- Elucidating Interactions Between SARS-CoV-2 Trimeric Spike Protein and ACE2 Using Homology Modeling and Molecular Dynamics Simulations
- BPA Replacement Compounds: Current Status and Perspectives
- Machine Learning Models for Predicting Liver Toxicity
Showing 5 of 7 shared publications
- Similarities and differences between variants called with human reference genome HG19 or HG38
- Assessing reproducibility of inherited variants detected with short-read whole genome sequencing
- Correction to: Similarities and differences between variants called with human reference genome HG19 or HG38
- Additional file 14 of Assessing reproducibility of inherited variants detected with short-read whole genome sequencing
- Additional file 2 of Assessing reproducibility of inherited variants detected with short-read whole genome sequencing
Showing 5 of 6 shared publications
- Persistent Organic Pollutants in Food: Contamination Sources, Health Effects and Detection Methods
- Machine Learning Models for Predicting Liver Toxicity
- QUICK: Quality and Usability Investigation and Control Kit for Mass Spectrometric Data from Detection of Persistent Organic Pollutants
- Software-Assisted Pattern Recognition of Persistent Organic Pollutants in Contaminated Human and Animal Food
- Decision forest—a machine learning algorithm for QSAR modeling
- Assessing reproducibility of inherited variants detected with short-read whole genome sequencing
- Additional file 14 of Assessing reproducibility of inherited variants detected with short-read whole genome sequencing
- Additional file 2 of Assessing reproducibility of inherited variants detected with short-read whole genome sequencing
- Additional file 4 of Assessing reproducibility of inherited variants detected with short-read whole genome sequencing
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