B. Howell

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The role of quantitative systems pharmacology modeling in the prediction and explanation of idiosyncratic drug-induced liver injury.

Paul B Watkins, P. Watkins, S. Siler, 2017, Drug metabolism and pharmacokinetics.

An Analysis of N-Acetylcysteine Treatment for Acetaminophen Overdose Using a Systems Model of Drug-Induced Liver Injury

Melvin E. Andersen, Harvey J. Clewell, Brett A. Howell, 2012, Journal of Pharmacology and Experimental Therapeutics.

Modeling Drug- and Chemical-Induced Hepatotoxicity with Systems Biology Approaches

Melvin E. Andersen, Sudin Bhattacharya, Brett A. Howell, 2012, Front. Physio..

In vitro to in vivo extrapolation and species response comparisons for drug-induced liver injury (DILI) using DILIsym™: a mechanistic, mathematical model of DILI

Melvin E. Andersen, Harvey J. Clewell, Brett A. Howell, 2012, Journal of Pharmacokinetics and Pharmacodynamics.

A physiologically based pharmacokinetic (PBPK) model for predicting the efficacy of drug overdose treatment with liposomes in man.

A. Chauhan, B. Howell, 2010, Journal of pharmaceutical sciences.

A critical review of the acetaminophen preclinical carcinogenicity and tumor promotion data and their implications for its carcinogenic hazard potential.

Samuel M. Cohen, E. Kuffner, D. Jacobson‐Kram, 2020, Regulatory toxicology and pharmacology : RTP.

Mechanistic Modelling of Drug-Induced Liver Injury: Investigating the Role of Innate Immune Responses

P. Watkins, D. Pisetsky, C. Battista, 2017, Gene regulation and systems biology.

Use of a systems model of drug-induced liver injury (DILIsym(®)) to elucidate the mechanistic differences between acetaminophen and its less-toxic isomer, AMAP, in mice.

Paul B Watkins, P. Watkins, S. Siler, 2014, Toxicology letters.

An Introduction to DILIsym ® Software, a Mechanistic Mathematical Representation of Drug-Induced Liver Injury

P. Watkins, C. Battista, S. Siler, 2018 .

Mechanistic Modeling of Drug-Induced Liver Injury (DILI)

P. Watkins, K. Brouwer, S. Siler, 2015 .

Liposome assay for evaluating ocular toxicity of surfactants.

A. Chauhan, B. Howell, Yash Kapoor, 2009, Investigative ophthalmology & visual science.

Bupivacaine Binding to Pegylated Liposomes

A. Chauhan, B. Howell, 2009, Anesthesia and analgesia.

Systems Pharmacology Modeling Predicts Delayed Presentation and Species Differences in Bile Acid-Mediated Troglitazone Hepatotoxicity

Paul B Watkins, P. Watkins, K. Brouwer, 2014, Clinical pharmacology and therapeutics.

Comparison of the Hepatotoxic Potential of Two Treatments for Autosomal-Dominant Polycystic Kidney DiseaseUsing Quantitative Systems Toxicology Modeling

L. Pellegrini, B. Howell, L. Shoda, 2020, Pharmaceutical Research.

Quantitative systems toxicology (QST) reproduces species differences in PF‐04895162 liver safety due to combined mitochondrial and bile acid toxicity

Vinal V. Lakhani, P. Watkins, M. Aleo, 2019, Pharmacology research & perspectives.

Using Quantitative Systems Toxicology to Investigate Observed Species Differences in CKA-Mediated Hepatotoxicity

Jerome T. Mettetal, P. Watkins, J. Mettetal, 2018, Toxicological sciences : an official journal of the Society of Toxicology.

Prediction of Safety Margin and Optimization of Dosing Protocol for a Novel Antibiotic using Quantitative Systems Pharmacology Modeling

P. Watkins, S. Krähenbühl, S. Messner, 2018, Clinical and translational science.

Sandwich-Cultured Hepatocytes as a Tool to Study Drug Disposition and Drug-Induced Liver Injury.

P. Watkins, K. Brouwer, S. Siler, 2016, Journal of pharmaceutical sciences.

Mechanisms of hepatotoxicity associated with the monocyclic β-lactam antibiotic BAL30072

S. Krähenbühl, S. Messner, A. Witschi, 2017, Archives of Toxicology.

Application of a Mechanistic Model to Evaluate Putative Mechanisms of Tolvaptan Drug-Induced Liver Injury and Identify Patient Susceptibility Factors

P. Watkins, K. Brouwer, S. Shoaf, 2016, Toxicological sciences : an official journal of the Society of Toxicology.

Spring Responses to Storms and Seasonal Variations in Recharge in the Middle Atlas Region of Morocco

B. Howell, 2015 .

Assessing Effects of BHV-0223 40 mg Zydis Sublingual Formulation and Riluzole 50 mg Oral Tablet on Liver Function Test Parameters Utilizing DILIsym

Diane M. Longo, R. Berman, V. Coric, 2020, Toxicological sciences : an official journal of the Society of Toxicology.

Vitro Resistant Tumor Cells Modulation of Drug Sensitivity by Dipyridamole in Multidrug

M. Andreeff, D. Shalinsky, B. Howell, 2006 .

Quantitative Systems Toxicology Analysis of In Vitro Mechanistic Assays Reveals Importance of Bile Acid Accumulation and Mitochondrial Dysfunction in TAK-875-Induced Liver Injury

Y. Dragan, P. Watkins, Diane M. Longo, 2018, Toxicological sciences : an official journal of the Society of Toxicology.

Analyzing the Mechanisms Behind Macrolide Antibiotic-Induced Liver Injury Using Quantitative Systems Toxicology Modeling

P. Watkins, S. Siler, P. Fernandes, 2019, Pharmaceutical Research.

Current and Emerging Detoxification Therapies for Critical Care

A. Chauhan, B. Howell, 2010, Materials.

Detoxification: Colloidal Systems

A. Chauhan, B. Howell, 2015 .

Drug overdose treatment with liposomes

B. Howell, 2010 .

Binding of imipramine, dosulepin, and opipramol to liposomes for overdose treatment.

A. Chauhan, B. Howell, 2009, Journal of pharmaceutical sciences.

In vitro to in vivo extrapolation and species response comparisons for drug-induced liver injury (DILI) using DILIsym™: a mechanistic, mathematical model of DILI

P. Watkins, M. Andersen, Rukmini Kumar, 2012, Journal of Pharmacokinetics and Pharmacodynamics.

Investigating bile acid-mediated cholestatic drug-induced liver injury using a mechanistic model of multidrug resistance protein 3 (MDR3) inhibition

P. Watkins, J. Beaudoin, S. Siler, 2023, Frontiers in Pharmacology.

Application of the DILIsym® Quantitative Systems Toxicology drug-induced liver injury model to evaluate the carcinogenic hazard potential of acetaminophen.

H. Jaeschke, E. Kuffner, B. Howell, 2020, Regulatory toxicology and pharmacology : RTP.

Comparison of the Hepatotoxic Potential of Two Treatments for Autosomal-Dominant Polycystic Kidney DiseaseUsing Quantitative Systems Toxicology Modeling

L. Pellegrini, B. Howell, L. Shoda, 2020, Pharmaceutical Research.

Development of quantitative systems pharmacology and toxicology models within consortia: experiences and lessons learned through DILIsym development

Hugh A. Barton, Gary Eichenbaum, Brett A. Howell, 2016 .

Exploring BSEP inhibition-mediated toxicity with a mechanistic model of drug-induced liver injury

Hugh A. Barton, Brett A. Howell, Scott Q. Siler, 2014, Front. Pharmacol..

Mechanistic Modeling Reveals the Critical Knowledge Gaps in Bile Acid–Mediated DILI

P. Watkins, K. Brouwer, S. Siler, 2014, CPT: pharmacometrics & systems pharmacology.

A Mechanistic Model of Drug-Induced Liver Injury Aids the Interpretation of Elevated Liver Transaminase Levels in a Phase I Clinical Trial

P. Watkins, S. Siler, P B Watkins, 2014, CPT: pharmacometrics & systems pharmacology.

Linking physiology to toxicity using DILIsym®, a mechanistic mathematical model of drug-induced liver injury.

Paul B Watkins, P. Watkins, S. Siler, 2014, Biopharmaceutics & drug disposition.

Uptake of amitriptyline and nortriptyline with liposomes, proteins, and serum: implications for drug detoxification.

A. Chauhan, B. Howell, 2008, Journal of colloid and interface science.

The metal compound cisplatin (DDP) is a widely used anticancer agent but naturally occurring and acquired resistance to DDP limits its effec tiveness. Resistance is associated with a decreased accumulation of DDP

B. Howell, Dennis, Robert, 2006 .

Interaction of cationic drugs with liposomes.

A. Chauhan, B. Howell, 2009, Langmuir : the ACS journal of surfaces and colloids.

Variable responses of karst springs to recharge in the Middle Atlas region of Morocco

L. Benaabidate, L. Bouchaou, M. Farhaoui, 2019, Hydrogeology Journal.

Amitriptyline overdose treatment by pegylated anionic liposomes.

A. Chauhan, B. Howell, 2008, Journal of colloid and interface science.

The Combination of a Human Biomimetic Liver Microphysiology System with BIOLOGXsym, a Quantitative Systems Toxicology (QST) Modeling Platform for Macromolecules, Provides Mechanistic Understanding of Tocilizumab- and GGF2-Induced Liver Injury

D. L. Taylor, C. Battista, J. Beaudoin, 2023, International journal of molecular sciences.

Comparing the Liver Safety Profiles of 4 Next-Generation CGRP Receptor Antagonists to the Hepatotoxic CGRP Inhibitor Telcagepant Using Quantitative Systems Toxicology Modeling

P. Watkins, S. Siler, J. Woodhead, 2022, Toxicological sciences : an official journal of the Society of Toxicology.

Refining Liver Safety Risk Assessment: Application of Mechanistic Modeling and Serum Biomarkers to Cimaglermin Alfa (GGF2) Clinical Trials

S. Siler, T. Parry, B. Howell, 2017, Clinical pharmacology and therapeutics.

MITOsym®: A Mechanistic, Mathematical Model of Hepatocellular Respiration and Bioenergetics

P. Watkins, S. Siler, Y. Will, 2014, Pharmaceutical Research.

An Analysis of N-Acetylcysteine Treatment for Acetaminophen Overdose Using a Systems Model of Drug-Induced Liver Injury

P. Watkins, M. Andersen, H. Clewell, 2012, Journal of Pharmacology and Experimental Therapeutics.

Assessing Liver Effects of Cannabidiol and Valproate Alone and in Combination Using Quantitative Systems Toxicology

Vinal V. Lakhani, B. Howell, Grant T. Generaux, 2023, Clinical pharmacology and therapeutics.