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Confirmed
Presence
Current · Arkansas
Last published
2026
Sources
OpenAlex · ORCID
Refreshed
2026-10-06
T
Tucker A. Patterson
Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.
High Impact
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Also affiliated: United States Food and Drug Administration (1997–2026); Center for Drug Evaluation and Research (2016); University of South Carolina (1989–1994); University of Florida (1994–1999); City of Helsinki (2008)
37 h-index
150 pubs
8,309 cited
Research Areas
Biomedical Subjects
Links
Biography and Research Information
OverviewAI-generated summary
Tucker A. Patterson's research focuses on the neurotoxicity of anesthetic agents, particularly ketamine, and its effects on the developing brain. His work has investigated neuronal cell death and long-lasting cognitive deficits in preclinical models, including Sprague-Dawley rats and rhesus monkeys. Patterson has also explored the impact of environmental factors, such as silver nanoparticles, on gene expression related to oxidative stress in the mouse brain.
His research utilizes and evaluates molecular biology techniques, including microarray technology, assessing inter- and intraplatform reproducibility and data analysis procedures. Patterson has a publication record of 153 papers with 8,302 citations and an h-index of 37, designating him as a highly cited researcher. He leads a research group and maintains an active lab website, indicating ongoing research activities. Patterson has a history of collaboration with researchers at the National Center for Toxicological Research, including Fan Dong, Huixiao Hong, Wenjing Guo, and Zoe Li.
Metrics
- h-index: 37
- Publications: 150
- Citations: 8,309
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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BERT-Based Models for Normalization of Adverse Drug Event Expressions in Social Media to Standard Medical Terminology for Drug Safety Analysis (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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Challenges and solutions in measuring commonly used biomarkers for drug-induced liver injury in a liver-on-a-chip platform (2025)
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Toxicity of ubiquitous tire rubber antiozonant N-(1,3-dimethylbutyl)-N′-phenyl-p-phenylenediamine (6PPD) and its transformation product 6PPD-quinone (6PPD-Q) in primary human hepatocytes and liver spheroids (2025)
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2024 international conference on neuroprotective agents conference proceedings (2025)
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Integrating Molecular Dynamics, Molecular Docking, and Machine Learning for Predicting SARS-CoV-2 Papain-like Protease Binders (2025)
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Assessing potential desflurane-induced neurotoxicity using nonhuman primate neural stem cell models (2025)
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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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Computational Toxicology (2024)
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Determining high priority disinfection byproducts based on experimental aquatic toxicity data and predictive models: Virtual screening and in vivo study (2024)
Collaboration Network
Top Collaborators
William Slikker
National Center for Toxicological Research
49 shared publications
In database
- Ketamine-Induced Neuronal Cell Death in the Perinatal Rhesus Monkey
- Ketamine anesthesia during the first week of life can cause long-lasting cognitive deficits in rhesus monkeys
- Prolonged exposure to ketamine increases neurodegeneration in the developing monkey brain
- Inhalation anesthetic-induced neuronal damage in the developing rhesus monkey
- Ketamine-Induced Neuronal Damage and Altered N-Methyl-d-Aspartate Receptor Function in Rat Primary Forebrain Culture
Showing 5 of 49 shared publications
Huixiao Hong
National Center for Toxicological Research
35 shared publications
In database
- Cross-platform comparability of microarray technology: Intra-platform consistency and appropriate data analysis procedures are essential
- 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
Showing 5 of 35 shared publications
Merle G. Paule
National Center for Toxicological Research
30 shared publications
In database
- Ketamine-Induced Neuronal Cell Death in the Perinatal Rhesus Monkey
- Ketamine anesthesia during the first week of life can cause long-lasting cognitive deficits in rhesus monkeys
- Prolonged exposure to ketamine increases neurodegeneration in the developing monkey brain
- Inhalation anesthetic-induced neuronal damage in the developing rhesus monkey
- Ketamine-Induced Neuronal Damage and Altered N-Methyl-d-Aspartate Receptor Function in Rat Primary Forebrain Culture
Showing 5 of 30 shared publications
Wenjing Guo
National Center for Toxicological Research
26 shared publications
In database
- 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
Jie Liu
National Center for Toxicological Research
24 shared publications
In database
- 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 24 shared publications
Cheng Wang
National Center for Toxicological Research
23 shared publications
In database
- Prolonged exposure to ketamine increases neurodegeneration in the developing monkey brain
- Inhalation anesthetic-induced neuronal damage in the developing rhesus monkey
- Ketamine-Induced Neuronal Damage and Altered N-Methyl-d-Aspartate Receptor Function in Rat Primary Forebrain Culture
- Potential Adverse Effects of Prolonged Sevoflurane Exposure on Developing Monkey Brain: From Abnormal Lipid Metabolism to Neuronal Damage
- Systems biology approaches for toxicology
Showing 5 of 23 shared publications
Fang Liu
National Center for Toxicological Research
20 shared publications
In database
- Inhalation anesthetic-induced neuronal damage in the developing rhesus monkey
- Ketamine-Induced Neuronal Damage and Altered N-Methyl-d-Aspartate Receptor Function in Rat Primary Forebrain Culture
- Potential Adverse Effects of Prolonged Sevoflurane Exposure on Developing Monkey Brain: From Abnormal Lipid Metabolism to Neuronal Damage
- Protective effect of acetyl-l-carnitine on propofol-induced toxicity in embryonic neural stem cells
- Relationship between ketamine-induced developmental neurotoxicity and NMDA receptor-mediated calcium influx in neural stem cell-derived neurons
Showing 5 of 20 shared publications
Joseph P. Hanig
Center for Drug Evaluation and Research (US)
20 shared publications
- Ketamine-Induced Neuronal Cell Death in the Perinatal Rhesus Monkey
- Ketamine anesthesia during the first week of life can cause long-lasting cognitive deficits in rhesus monkeys
- Prolonged exposure to ketamine increases neurodegeneration in the developing monkey brain
- Inhalation anesthetic-induced neuronal damage in the developing rhesus monkey
- Ketamine-Induced Neuronal Damage and Altered N-Methyl-d-Aspartate Receptor Function in Rat Primary Forebrain Culture
Showing 5 of 20 shared publications
Fan Dong
National Center for Toxicological Research
18 shared publications
In database
- Review of machine learning and deep learning models for toxicity prediction
- 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
- BERT-based language model for accurate drug adverse event extraction from social media: implementation, evaluation, and contributions to pharmacovigilance practices
Showing 5 of 18 shared publications
Zoe Li
National Center for Toxicological Research
11 shared publications
In database
- Review of machine learning and deep learning models for toxicity prediction
- Machine learning and deep learning for brain tumor MRI image segmentation
- Fingerprinting Interactions between Proteins and Ligands for Facilitating Machine Learning in Drug Discovery
- 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
Showing 5 of 11 shared publications
Syed F. Ali
National Center for Toxicological Research
10 shared publications
In database
- Expression of genes related to oxidative stress in the mouse brain after exposure to silver-25 nanoparticles☆
- Expression changes of dopaminergic system-related genes in PC12 cells induced by manganese, silver, or copper nanoparticles
- The effects of l-carnitine on the combination of, inhalation anesthetic-induced developmental, neuronal apoptosis in the rat frontal cortex
- Protective effects of 7-nitroindazole on ketamine-induced neurotoxicity in rat forebrain culture
- l-Carnitine protects neurons from 1-methyl-4-phenylpyridinium-induced neuronal apoptosis in rat forebrain culture
Showing 5 of 10 shared publications
Natalya Sadovova
National Center for Toxicological Research
10 shared publications
In database
- Ketamine-Induced Neuronal Cell Death in the Perinatal Rhesus Monkey
- Prolonged exposure to ketamine increases neurodegeneration in the developing monkey brain
- Ketamine-Induced Neuronal Damage and Altered N-Methyl-d-Aspartate Receptor Function in Rat Primary Forebrain Culture
- The effects of l-carnitine on the combination of, inhalation anesthetic-induced developmental, neuronal apoptosis in the rat frontal cortex
- Protective effect of acetyl-l-carnitine on propofol-induced toxicity in embryonic neural stem cells
Showing 5 of 10 shared publications
Shuliang Liu
National Center for Toxicological Research
10 shared publications
In database
- Inhalation anesthetic-induced neuronal damage in the developing rhesus monkey
- Ketamine-Induced Neuronal Damage and Altered N-Methyl-d-Aspartate Receptor Function in Rat Primary Forebrain Culture
- Lipidomics reveals a systemic energy deficient state that precedes neurotoxicity in neonatal monkeys after sevoflurane exposure
- Protective Effects of Xenon on Propofol-Induced Neurotoxicity in Human Neural Stem Cell-Derived Models
- Effects of Xenon-Based Anesthetic Exposure on the Expression Levels of Polysialic Acid Neural Cell Adhesion Molecule (PSA-NCAM) on Human Neural Stem Cell–Derived Neurons
Showing 5 of 10 shared publications
Weida Tong
National Center for Toxicological Research
8 shared publications
In database
- The MicroArray Quality Control (MAQC) project shows inter- and intraplatform reproducibility of gene expression measurements
- Performance comparison of one-color and two-color platforms within the Microarray Quality Control (MAQC) project
- Cross-platform comparability of microarray technology: Intra-platform consistency and appropriate data analysis procedures are essential
- Machine Learning Models for Predicting Liver Toxicity
- Informing selection of drugs for COVID-19 treatment through adverse events analysis
Showing 5 of 8 shared publications
Glenn D. Newport
National Center for Toxicological Research
8 shared publications
In database
- Expression of genes related to oxidative stress in the mouse brain after exposure to silver-25 nanoparticles☆
- Expression changes of dopaminergic system-related genes in PC12 cells induced by manganese, silver, or copper nanoparticles
- In Vivo Monitoring of Sevoflurane-induced Adverse Effects in Neonatal Nonhuman Primates Using Small-animal Positron Emission Tomography
- Selective Alterations of Transcription Factors in MPP+-Induced Neurotoxicity in PC12 Cells
- Comparison of the time courses of selective gene expression and dopaminergic depletion induced by MPP+ in MN9D cells
Showing 5 of 8 shared publications
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