Results 41 to 50 of about 14,363 (238)

Development of a multi-route physiologically based pharmacokinetic (PBPK) model for nanomaterials: a comparison between a traditional versus a new route-specific approach using gold nanoparticles in rats

Particle and Fibre Toxicology, 2022
Background Physiologically based pharmacokinetic (PBPK) modeling is an important tool in predicting target organ dosimetry and risk assessment of nanoparticles (NPs).
Wei-Chun Chou, Yi-Hsien Cheng, Jim E. Riviere, Nancy A. Monteiro-Riviere, Wolfgang G. Kreyling, Zhoumeng Lin   +5 more
doaj   +1 more source

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

, 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, Alimirah, Arshad, Ay, Bailey, Beste, Blätke, Bordbar, Cannon, Covert, Covert, El-Sankary, Fell, Fisher, Giacomantonio, Gibson, Gille, Goss, Guebila, Heino, Huang, Huang, Huizenga, Jain, Jin, Jones, Kobayashi, Kolodkin, Kotas, Krauss, Lee, Lewis, Mark, Matsuno, Murata, Oakley, Orth, Pascussi, Plant, Reul, Schellenberger, Schilling, Schuster, Shmulevich, Steggles, Stephanopoulos, Varma, Watkins, Wienkers, Wu, Xiao, Zhang   +51 more
core   +2 more sources

Developing a Physiologically-Based Pharmacokinetic Model Knowledgebase in Support of Provisional Model Construction.

PLoS Computational Biology, 2016
Developing physiologically-based pharmacokinetic (PBPK) models for chemicals can be resource-intensive, as neither chemical-specific parameters nor in vivo pharmacokinetic data are easily available for model construction.
Jingtao Lu, Michael-Rock Goldsmith, Christopher M Grulke, Daniel T Chang, Raina D Brooks, Jeremy A Leonard, Martin B Phillips, Ethan D Hypes, Matthew J Fair, Rogelio Tornero-Velez, Jeffre Johnson, Curtis C Dary, Yu-Mei Tan   +12 more
doaj   +1 more source

Adapting physiologically-based pharmacokinetic models for machine learning applications

Scientific Reports, 2023
Both machine learning and physiologically-based pharmacokinetic models are becoming essential components of the drug development process. Integrating the predictive capabilities of physiologically-based pharmacokinetic (PBPK) models within machine ...
Sohaib Habiballah, Brad Reisfeld
doaj   +1 more source

PRT to predict pharmacokinetic profiles as part of a bioequivalence study of the drug deferasirox

Разработка и регистрация лекарственных средств
Introduction. Deferasirox is a complexing drug and belongs to class II according to the biopharmaceutical classification system (BCS), has acidic properties and belongs to subclass “a” (acid).
A. V. Suvorova, P. A. Losenkova, Yu. V. Medvedev, E. A. Malashenko, I. E. Makarenko, A. M. Poluyanov, I. E. Shohin   +6 more
doaj   +1 more source

Guide to development of compound files for PBPK modeling in the Simcyp population‐based simulator

CPT: Pharmacometrics & Systems Pharmacology, 2022
The Simcyp Simulator is a software platform for population physiologically‐based pharmacokinetic (PBPK) modeling and simulation. It links in vitro data to in vivo absorption, distribution, metabolism, excretion and pharmacokinetic/pharmacodynamic ...
Udoamaka Ezuruike, Mian Zhang, Amita Pansari, Mailys De Sousa Mendes, Xian Pan, Sibylle Neuhoff, Iain Gardner   +6 more
doaj   +1 more source

Tingkat Parasitasi Parasitoid Telur Pbpk pada Pertanaman Padi dengan Beberapa Ketinggian Tempat Berbeda [PDF]

, 2016
Rice is the staple food of Indonesia's population. Various problems occur in an effort to increase production and productivity. One problem is the attack of yellow rice stem borer (PBPK) which may result in yield losses up to 90%.
Resiani, N. M. (Ni)
core   +1 more source

Toward Predictable Nanomedicine: Current Forecasting Frameworks for Nanoparticle–Biology Interactions

Advanced Intelligent Discovery, EarlyView.
Predictive models successfully screen nanoparticles for toxicity and cellular uptake. Yet, complex biological dynamics and sparse, nonstandardized data limit their accuracy. The field urgently needs integrated artificial intelligence/machine learning, systems biology, and open‐access data protocols to bridge the gap between materials science and safe ...
Mariya L. Ivanova, Michael Nicholls, Nicola Russo, Gueorgui Mihaylov, Konstantin Nikolic   +4 more
wiley   +1 more source

Physiologically-Based Pharmacokinetic (PBPK) Modeling Providing Insights into Fentanyl Pharmacokinetics in Adults and Pediatric Patients

Pharmaceutics, 2020
Fentanyl is widely used for analgesia, sedation, and anesthesia both in adult and pediatric populations. Yet, only few pharmacokinetic studies of fentanyl in pediatrics exist as conducting clinical trials in this population is especially challenging ...
Lukas Kovar, Andreas Weber, Michael Zemlin, Yvonne Kohl, Robert Bals, Bernd Meibohm, Dominik Selzer, Thorsten Lehr   +7 more
doaj   +1 more source

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

, 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., Clewell, Harvey J., Jamei, Massoud   +2 more
core   +3 more sources