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Recent Advances in Development and Application of Physiologically-Based Pharmacokinetic (PBPK) Models: a Transition from Academic Curiosity to Regulatory Acceptance

Current pharmacology reports, 2016, Vol.2 (3), p.161-169

Jamei, Masoud

2016

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Application of a Physiologically Based Pharmacokinetic Approach to Predict Theophylline Pharmacokinetics Using Virtual Non-Pregnant, Pregnant, Fetal, Breast-Feeding, and Neonatal Populations

Frontiers in pediatrics, 2022-05, Vol.10, p.840710-840710

2022

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Development of a permeability-limited model of the human brain and cerebrospinal fluid (CSF) to integrate known physiological and biological knowledge: Estimating time varying CSF drug concentrations and their variability using in vitro data

Drug metabolism and pharmacokinetics, 2016-06, Vol.31 (3), p.224-233

2016

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Accelerating the Progress of Kinase Inhibitors in Oncology: The potential of PBPK modeling in answering key questions around these drugs

Applied clinical trials, 2024-05, Vol.33 (5), p.16

2024

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Accelerating the Progress of Kinase Inhibitors in Oncology

Applied clinical trials, 2024-05, Vol.33 (5), p.16-17

2024

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VIVD: A virtual in vitro distribution model for predicting intra- and sub-cellular concentrations in toxicity assays

Toxicology letters, 2017-10, Vol.280, p.S290-S290

2017

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Simulation of monoclonal antibody pharmacokinetics in humans using a minimal physiologically based model

The AAPS journal, 2014-09, Vol.16 (5), p.1097

2014

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Corrections to “A Framework for Assessing Inter-individual Variability in Pharmacokinetics Using Virtual Human Populations and Integrating General Knowledge of Physical Chemistry, Biology, Anatomy, Physiology and Genetics: A Tale of 'Bottom-Up' vs 'Top-Down' Recognition of Covariates”

Drug metabolism and pharmacokinetics, 2009, Vol.24 (5), p.488-488

2009

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Modeling and predicting drug pharmacokinetics in patients with renal impairment

Expert review of clinical pharmacology, 2011-03, Vol.4 (2), p.261-274

2011

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Comment on: "Preterm Physiologically Based Pharmacokinetic Model, Part I and Part II"/Authors' Reply

Clinical pharmacokinetics, 2021-05, Vol.60 (5), p.677-683

2021

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Towards unravelling the mechanism of cardiotoxicity of citalopram: Utilisation of mechanistic cardiac electrophysiology modelling with the Simcyp cardiac safety simulator (CSS) to explore various hypotheses

Journal of pharmacological and toxicological methods, 2016-09, Vol.81, p.351-351

2016

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Misuse of the Well-Stirred Model of Hepatic Drug Clearance: Fig. 1

Drug metabolism and disposition, 2007-03, Vol.35 (3), p.501-502

2007

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The Simcyp Population Based Simulator: Architecture, Implementation, and Quality Assurance

In silico pharmacology, 2013-06, Vol.1 (1), p.9-9, Article 9

2013

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Are Physiologically Based Pharmacokinetic Models Reporting the Right Cmax? Central Venous Versus Peripheral Sampling Site

The AAPS journal, 2015-09, Vol.17 (5), p.1268-1279

2015

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Understanding Inter-individual Variability in the Drug Interaction of a Highly Extracted CYP1A2 Substrate Tizanidine: Application of a Permeability-limited Multi-compartment Liver Model in a Population Based PBPK Framework

Drug metabolism and disposition, 2022-05

2022

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An in silico PBPK-PD coupled approach to assess zolpidem effect on pre-clinically and clinically measured cardiac repolarisation parameters in the absence and presence of a circadian model of plasma ion concentration

Journal of pharmacological and toxicological methods, 2016-09, Vol.81, p.359-360

2016

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HOW DOES THE IN VIVO BILIARY ELIMINATION OF DRUGS CHANGE WITH AGE? EVIDENCE FROM CLINICAL DATA USING A SYSTEMS PHARMACOLOGY APPROACH

Archives of disease in childhood, 2016-01, Vol.101 (1), p.e1-e1

2016

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Prediction of Voriconazole Non-linear Pharmacokinetics Using a Paediatric Physiologically Based Pharmacokinetic Modelling Approach/Response to: ''Prediction of Voriconazole Non-Linear Pharmacokinetics Using a Paediatric Physiologically Based Pharmacokinetic Modelling Approach'

Clinical pharmacokinetics, 2015-05, Vol.54 (5), p.567

2015

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Are Physiologically Based Pharmacokinetic Models Reporting the Right C(max)? Central Venous Versus Peripheral Sampling Site

The AAPS journal, 2015-09, Vol.17 (5), p.1268-1279

2015

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Application of a Systems Approach to the Bottom-Up Assessment of Pharmacokinetics in Obese Patients

Clinical pharmacokinetics, 2011-12, Vol.50 (12), p.809

2011

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A Framework for Assessing Inter-individual Variability in Pharmacokinetics Using Virtual Human Populations and Integrating General Knowledge of Physical Chemistry, Biology, Anatomy, Physiology and Genetics:A Tale of‘Bottom-Up’vs‘Top-Down’Recognition of Covariates

DRUG METABOLISM AND PHARMACOKINETICS, 2009, Vol.24 (1), p.53-75

2009

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Perfusion and Permeability-Limited Distribution Models

The Art and Science of Physiologically-Based Pharmacokinetics Modeling, 2025, p.90-117

1, 2025

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Implications of mechanism-base inhibition of CYP2D6 for the pharmacokinetics and toxicity of MDMA

Journal of psychopharmacology (Oxford), 2006, Vol.20 (6), p.842-849

2006

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Modeling and predicting drug pharmacokinetics in patients with renal impairment

Expert review of clinical pharmacology, 2011-03, Vol.4 (2), p.261

2011

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IN SILICO MODELING OF METABOLITE KINETICS

Metabolite Safety in Drug Development, 2016, p.213-237

2016

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Recent Advances in Development and Application of Physiologically-Based Pharmacokinetic (PBPK) Models: a Transition from Academic Curiosity to Regulatory Acceptance

Application of a Physiologically Based Pharmacokinetic Approach to Predict Theophylline Pharmacokinetics Using Virtual Non-Pregnant, Pregnant, Fetal, Breast-Feeding, and Neonatal Populations

Development of a permeability-limited model of the human brain and cerebrospinal fluid (CSF) to integrate known physiological and biological knowledge: Estimating time varying CSF drug concentrations and their variability using in vitro data

Accelerating the Progress of Kinase Inhibitors in Oncology: The potential of PBPK modeling in answering key questions around these drugs

Accelerating the Progress of Kinase Inhibitors in Oncology

VIVD: A virtual in vitro distribution model for predicting intra- and sub-cellular concentrations in toxicity assays

Simulation of monoclonal antibody pharmacokinetics in humans using a minimal physiologically based model

Corrections to “A Framework for Assessing Inter-individual Variability in Pharmacokinetics Using Virtual Human Populations and Integrating General Knowledge of Physical Chemistry, Biology, Anatomy, Physiology and Genetics: A Tale of 'Bottom-Up' vs 'Top-Down' Recognition of Covariates”

Modeling and predicting drug pharmacokinetics in patients with renal impairment

Comment on: "Preterm Physiologically Based Pharmacokinetic Model, Part I and Part II"/Authors' Reply

Towards unravelling the mechanism of cardiotoxicity of citalopram: Utilisation of mechanistic cardiac electrophysiology modelling with the Simcyp cardiac safety simulator (CSS) to explore various hypotheses

Misuse of the Well-Stirred Model of Hepatic Drug Clearance: Fig. 1

The Simcyp Population Based Simulator: Architecture, Implementation, and Quality Assurance

Are Physiologically Based Pharmacokinetic Models Reporting the Right Cmax? Central Venous Versus Peripheral Sampling Site

Understanding Inter-individual Variability in the Drug Interaction of a Highly Extracted CYP1A2 Substrate Tizanidine: Application of a Permeability-limited Multi-compartment Liver Model in a Population Based PBPK Framework

An in silico PBPK-PD coupled approach to assess zolpidem effect on pre-clinically and clinically measured cardiac repolarisation parameters in the absence and presence of a circadian model of plasma ion concentration

HOW DOES THE IN VIVO BILIARY ELIMINATION OF DRUGS CHANGE WITH AGE? EVIDENCE FROM CLINICAL DATA USING A SYSTEMS PHARMACOLOGY APPROACH

Prediction of Voriconazole Non-linear Pharmacokinetics Using a Paediatric Physiologically Based Pharmacokinetic Modelling Approach/Response to: ''Prediction of Voriconazole Non-Linear Pharmacokinetics Using a Paediatric Physiologically Based Pharmacokinetic Modelling Approach'

Are Physiologically Based Pharmacokinetic Models Reporting the Right C(max)? Central Venous Versus Peripheral Sampling Site

Application of a Systems Approach to the Bottom-Up Assessment of Pharmacokinetics in Obese Patients

A Framework for Assessing Inter-individual Variability in Pharmacokinetics Using Virtual Human Populations and Integrating General Knowledge of Physical Chemistry, Biology, Anatomy, Physiology and Genetics:A Tale of‘Bottom-Up’vs‘Top-Down’Recognition of Covariates

Perfusion and Permeability-Limited Distribution Models

Implications of mechanism-base inhibition of CYP2D6 for the pharmacokinetics and toxicity of MDMA

Modeling and predicting drug pharmacokinetics in patients with renal impairment

IN SILICO MODELING OF METABOLITE KINETICS

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