Cargando…

A Computational Workflow for Probabilistic Quantitative in Vitro to in Vivo Extrapolation

A computational workflow was developed to facilitate the process of quantitative in vitro to in vivo extrapolation (QIVIVE), specifically the translation of in vitro concentration-response to in vivo dose-response relationships and subsequent derivation of a benchmark dose value (BMD). The workflow...

Descripción completa

Detalles Bibliográficos
Autores principales:	McNally, Kevin, Hogg, Alex, Loizou, George
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Frontiers Media S.A. 2018
Materias:	Pharmacology
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5968095/ https://www.ncbi.nlm.nih.gov/pubmed/29867507 http://dx.doi.org/10.3389/fphar.2018.00508

Ejemplares similares

Derivation of a Human In Vivo Benchmark Dose for Bisphenol A from ToxCast In Vitro Concentration Response Data Using a Computational Workflow for Probabilistic Quantitative In Vitro to In Vivo Extrapolation
por: Loizou, George, et al.
Publicado: (2022)

Derivation of a Human In Vivo Benchmark Dose for Perfluorooctanoic Acid From ToxCast In Vitro Concentration–Response Data Using a Computational Workflow for Probabilistic Quantitative In Vitro to In Vivo Extrapolation
por: Loizou, George, et al.
Publicado: (2021)

A probabilistic model of human variability in physiology for future application to dose reconstruction and QIVIVE
por: McNally, Kevin, et al.
Publicado: (2015)

A Workflow for Global Sensitivity Analysis of PBPK Models
por: McNally, Kevin, et al.
Publicado: (2011)

Development, testing, parameterisation, and calibration of a human PBPK model for the plasticiser, di-(2-ethylhexyl) terephthalate (DEHTP) using in silico, in vitro and human biomonitoring data
por: McNally, Kevin, et al.
Publicado: (2023)

Development, Testing, Parameterisation and Calibration of a Human PBPK Model for the Plasticiser, Di-(2-propylheptyl) Phthalate (DPHP) Using in Silico, in vitro and Human Biomonitoring Data
por: McNally, Kevin, et al.
Publicado: (2021)

Refinement and calibration of a human PBPK model for the plasticiser, Di-(2-propylheptyl) phthalate (DPHP) using in silico, in vitro and human biomonitoring data
por: McNally, Kevin, et al.
Publicado: (2023)

Development, testing, parameterisation, and calibration of a human PBK model for the plasticiser, di (2-ethylhexyl) adipate (DEHA) using in silico, in vitro and human biomonitoring data
por: McNally, Kevin, et al.
Publicado: (2023)

Development, Testing, Parameterization, and Calibration of a Human Physiologically Based Pharmacokinetic Model for the Plasticizer, Hexamoll(®) Diisononyl-Cyclohexane-1, 2-Dicarboxylate Using In Silico, In Vitro, and Human Biomonitoring Data
por: McNally, Kevin, et al.
Publicado: (2019)

Quantitative global sensitivity analysis of a biologically based dose-response pregnancy model for the thyroid endocrine system
por: Lumen, Annie, et al.
Publicado: (2015)

The application of global sensitivity analysis in the development of a physiologically based pharmacokinetic model for m-xylene and ethanol co-exposure in humans
por: Loizou, George D., et al.
Publicado: (2015)

Prediction of in vivo prenatal chlorpyrifos exposure leading to developmental neurotoxicity in humans based on in vitro toxicity data by quantitative in vitro–in vivo extrapolation
por: Algharably, Engi Abdelhady, et al.
Publicado: (2023)

Application of an Accessible Interface for Pharmacokinetic Modeling and In Vitro to In Vivo Extrapolation
por: Hines, David E., et al.
Publicado: (2022)

MEGen: A Physiologically Based Pharmacokinetic Model Generator
por: Loizou, George, et al.
Publicado: (2011)

Editorial: Application of computational tools to health and environmental sciences, Volume II
por: Ruiz, Patricia, et al.
Publicado: (2022)

Quantitative in vitro to in vivo extrapolation for developmental toxicity potency of valproic acid analogues
por: Chang, Xiaoqing, et al.
Publicado: (2022)

New approach methodologies: A quantitative in vitro to in vivo extrapolation case study with PFASs
por: Fragki, Styliani, et al.
Publicado: (2023)

Considerations for Improving Metabolism Predictions for In Vitro to In Vivo Extrapolation
por: Moreau, Marjory, et al.
Publicado: (2022)

Using the concordance of in vitro and in vivo data to evaluate extrapolation assumptions
por: Honda, Gregory S., et al.
Publicado: (2019)

Animal-Free Chemical Safety Assessment
por: Loizou, George D.
Publicado: (2016)

Cytotoxicity of adriamycin to tumour cells in vivo and in vitro.
por: Martin, W. M., et al.
Publicado: (1980)

Integrating Next-Generation Sequencing in the Clinical Pharmacogenomics Workflow
por: Giannopoulou, Efstathia, et al.
Publicado: (2019)

Development of a Web-Based Toolbox to Support Quantitative In-Vitro-to-In-Vivo Extrapolations (QIVIVE) within Nonanimal Testing Strategies
por: Punt, Ans, et al.
Publicado: (2020)

Metabolic profiling and in vitro-in vivo extrapolation of furathiocarb in mammalian hepatic microsomes
por: Abass, Khaled, et al.
Publicado: (2022)

Applying a Global Sensitivity Analysis Workflow to Improve the Computational Efficiencies in Physiologically-Based Pharmacokinetic Modeling
por: Hsieh, Nan-Hung, et al.
Publicado: (2018)

Prediction of Deoxypodophyllotoxin Disposition in Mouse, Rat, Monkey, and Dog by Physiologically Based Pharmacokinetic Model and the Extrapolation to Human
por: Chen, Yang, et al.
Publicado: (2016)

Editorial: 3Rs—Strategies for reduction and refinement of animal studies
por: Fröhlich, Eleonore, et al.
Publicado: (2023)

Editorial: Molecular imaging for tracking drug delivery
por: Han, Zheng, et al.
Publicado: (2023)

Formulation development of lipid polymer hybrid nanoparticles of doxorubicin and its in-vitro, in-vivo and computational evaluation
por: Shafique, Muhammad, et al.
Publicado: (2023)

Establishing relationships between particle-induced in vitro and in vivo inflammation endpoints to better extrapolate between in vitro markers and in vivo fibrosis
por: McLean, Polly, et al.
Publicado: (2023)

Long-Term Follow-up of Complex Calcaneal Osteomyelitis Treated With Modified Gaenslen Approach
por: Kendal, Adrian, et al.
Publicado: (2022)

Probabilistic Pocket Druggability Prediction via One-Class Learning
por: Aguti, Riccardo, et al.
Publicado: (2022)

Qualitative and quantitative analyses of chemical constituents in vitro and in vivo and systematic evaluation of the pharmacological effects of Tibetan medicine Zhixue Zhentong capsules
por: Song, Yinglian, et al.
Publicado: (2023)

Katanin maintains meiotic metaphase chromosome alignment and spindle structure in vivo and has multiple effects on microtubules in vitro
por: McNally, Karen, et al.
Publicado: (2014)

Evaluation and Optimization of Pharmacokinetic Models for in Vitro to in Vivo Extrapolation of Estrogenic Activity for Environmental Chemicals
por: Casey, Warren M., et al.
Publicado: (2018)

Measured and Modeled Toxicokinetics in Cultured Fish Cells and Application to In Vitro - In Vivo Toxicity Extrapolation
por: Stadnicka-Michalak, Julita, et al.
Publicado: (2014)

Effects of Taxifolin on Osteoclastogenesis in vitro and in vivo
por: Cai, Cong, et al.
Publicado: (2018)

Drugsniffer: An Open Source Workflow for Virtually Screening Billions of Molecules for Binding Affinity to Protein Targets
por: Venkatraman, Vishwesh, et al.
Publicado: (2022)

Extrapolating from acute to chronic toxicity in vitro
por: Macko, Peter, et al.
Publicado: (2021)

Reconstruction of Exposure to m-Xylene from Human Biomonitoring Data Using PBPK Modelling, Bayesian Inference, and Markov Chain Monte Carlo Simulation
por: McNally, Kevin, et al.
Publicado: (2012)

Cannot write session to /tmp/vufind_sessions/sess_ia40tnfv0igutc07dkksgh1v16