Results 31 to 40 of about 132,753 (335)

Physiology-based IVIVE predictions of tramadol from in vitro metabolism data [PDF]

open access: yes, 2014
To predict the tramadol in vivo pharmacokinetics in adults by using in vitro metabolism data and an in vitro-in vivo extrapolation (IVIVE)-linked physiologically-based pharmacokinetic (PBPK) modeling and simulation approach (SimcypA (R)).
Allegaert, Karel   +10 more
core   +1 more source

Agent-based modeling: a systematic assessment of use cases and requirements for enhancing pharmaceutical research and development productivity. [PDF]

open access: yes, 2013
A crisis continues to brew within the pharmaceutical research and development (R&D) enterprise: productivity continues declining as costs rise, despite ongoing, often dramatic scientific and technical advances. To reverse this trend, we offer various
Hunt, C. Anthony   +4 more
core   +2 more sources

Physiologically Based Pharmacokinetic Modelling for First-In-Human Predictions: An Updated Model Building Strategy Illustrated with Challenging Industry Case Studies

open access: yesClinical Pharmacokinetics, 2019
Physiologically based pharmacokinetic modelling is well established in the pharmaceutical industry and is accepted by regulatory agencies for the prediction of drug–drug interactions.
Neil A. Miller   +4 more
semanticscholar   +1 more source

Physiologically Based Pharmacokinetic (PBPK) Model of Gold Nanoparticle-Based Drug Delivery System for Stavudine Biodistribution

open access: yesPharmaceutics, 2022
Computational modelling has gained attention for evaluating nanoparticle-based drug delivery systems. Physiologically based pharmacokinetic (PBPK) modelling provides a mechanistic approach for evaluating drug biodistribution.
Hinojal Zazo   +5 more
doaj   +1 more source

Introduction and Review of Modeling and Predicting Toxicity of Chemical Substances Based on Physiologically-Based Pharmacokinetic Models Using Computer Software [PDF]

open access: yesتحقیقات نظام سلامت, 2023
Nowadays, the application of kinetic models based on physiology in modelling and predicting the level of toxicity of chemical substances is developing rapidly. The data extracted from these models are being used in environmental risk assessment. They are
Sara Karimi-Zeverdegani   +3 more
doaj  

Method development for quantification of DMET-proteins in the paediatric intestinal tract via LC-MS/MS using a QconCAT technique

open access: yesBritish Journal of Pharmacy, 2022
Physiologically based pharmacokinetic (PBPK) modelling is a powerful alternative for paediatric clinical trials. Paediatric PBPK models require data on intestinal drug metabolising enzymes and transporter (DMET)-protein abundances, however only limited ...
Jan Goelen   +2 more
doaj   +1 more source

Integration of Genome Scale Metabolic Networks and gene regulation of metabolic enzymes with Physiologically Based Pharmacokinetics [PDF]

open access: yes, 2017
The scope of Physiologically Based Pharmacokinetic (PBPK) modelling can be expanded by assimilation of the mechanistic models of intracellular processes from Systems Biology field.
Al Olama   +51 more
core   +2 more sources

Prospects and limitations of physiologically-based pharmacokinetic modelling for cross-species extrapolation

open access: yesSVU-International Journal of Veterinary Sciences, 2019
The transition from experimental findings in animal models to clinical applications in human patients is a key challenge in pharmacology and toxicology.
Lars Kuepfer
doaj   +1 more source

Physiologically based modeling and prediction of drug interactions [PDF]

open access: yes, 2010
International audienceA major challenge for drug development and environmental or occupational health is the prediction of pharmacokinetic and pharmacodynamic interactions between drugs, natural chemicals or environmental contaminants.
Bois, Frédéric Y.
core   +3 more sources

PBPK modelling of inter-individual variability in the pharmacokinetics of environmental chemicals [PDF]

open access: yes, 2010
International audienceGeneric PBPK models, applicable to a large number of substances, coupled to parameter databases and QSAR modules, are now available for predictive modelling of inter-individual variability in the absorption, distribution, metabolism
Bois, Frédéric Y.   +2 more
core   +2 more sources

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