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Developing a PhysiologicallyBased Pharmacokinetic Model Knowledgebase in Support of Provisional Model Construction
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(PDF) Developing a Physiologically-Based - ResearchGate ~ Developing a Physiologically-Based Pharmacokinetic Model Knowledgebase in Support of Provisional Model Construction February 2016 PLoS Computational Biology 12(2):e1004495
Developing a Physiologically-Based Pharmacokinetic Model ~ 1. PLoS Comput Biol. 2016 Feb 12;12(2):e1004495. doi: 10.1371/journal.pcbi.1004495. eCollection 2016 Feb. Developing a Physiologically-Based Pharmacokinetic Model Knowledgebase in Support of Provisional Model Construction.
Developing a Physiologically-Based Pharmacokinetic - PLOS ~ Abstract. 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. Previously developed, well-parameterized, and thoroughly-vetted models can be a great resource for the construction of models pertaining to new chemicals.
Developing a Physiologically-Based Pharmacokinetic Model ~ Developing a Physiologically-Based Pharmacokinetic Model Knowledgebase in Support of Provisional Model Construction Jingtao Lu , # 1 Michael-Rock Goldsmith , # 2, ¤a Christopher M. Grulke , 2, ¤b * Daniel T. Chang , 2, ¤a Raina D. Brooks , 2, ¤c Jeremy A. Leonard , 1 Martin B. Phillips , 1, ¤d Ethan D. Hypes , 2, 3 Matthew J. Fair , 2, 4 .
Developing a Physiologically-Based Pharmacokinetic Model ~ Developing a Physiologically-Based Pharmacokinetic Model Knowledgebase in Support of Provisional Model Construction. By 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 and Yu-Mei Tan
Developing a Physiologically-Based Pharmacokinetic Model ~ Building new physiologically based pharmacokinetic (PBPK) models requires a lot data, such as the chemical-specific parameters and in vivo pharmacokinetic data. Previously-developed, well-parameterized, and thoroughly-vetted models can be great resource for supporting the construction of models pertaining to new chemicals. Thus, a PBPK knowledgebase containing existing PBPK-related articles .
DEVELOPMENT OF A PHYSIOLOGICALLY-BASED PHARMACOKINETIC ~ Physiologically based pharmacokinetic (PBPK) modeling and classical population PK model-based simulations are increasingly used to answer various drug development questions.
Developing a Physiologically-Based Pharmacokinetic Model ~ 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. Previously developed, well-parameterized, and thoroughly-vetted models can be a great resource for the construction of models pertaining to new chemicals.
Development of a physiologically-based - PLOS ~ Lu J, Goldsmith MR, Grulke CM, Chang DT, Brooks RD, Leonard JA, et al. Developing a Physiologically-Based Pharmacokinetic Model Knowledgebase in Support of Provisional Model Construction. PLoS Comput Biol. 2016;12(2):e1004495. Epub 2016/02/13. pmid:26871706; PubMed Central PMCID: PMCPMC4752336. View Article
Development of a Physiologically-Based Pharmacokinetic ~ The objective of this study was to develop a physiologically based pharmacokinetic (PBPK) model for amoxicillin for non-pregnant, pregnant and postpartum populations by compiling a database .
Physiologically based pharmacokinetic modeling software ~ The consistent rise in the number of physiologically based pharmacokinetic (PBPK) models published in recent years has been expedited by the availability of increasingly powerful computers and the abundance of available information on the internet.The application of PBPK modeling is also expanding beyond the traditional role in environmental chemical risk assessment and is increasingly .
A comprehensive physiologically based pharmacokinetic ~ Published physiologically based pharmacokinetic (PBPK) models from peer-reviewed articles are often well-parameterized, thoroughly-vetted, and can be utilized as excellent resources for the construction of models pertaining to related chemicals. Specifically, chemical-specific parameters and in vivo pharmacokinetic data used to calibrate these published models can act as valuable starting .
A Semi-Physiologically Based Pharmacokinetic Model ~ Lu J, Goldsmith M-R, Grulke CM, Chang DT, Brooks RD, Leonard JA, et al. Developing a physiologically-based pharmacokinetic model knowledgebase in support of provisional model construction. PLoS Comput Biol. 2016;12(2):e1004495. Article Google Scholar
Curtis C. Dary's research works / United States ~ Developing a Physiologically-Based Pharmacokinetic Model Knowledgebase in Support of Provisional Model Construction. Article. . Developing physiologically-based pharmacokinetic (PBPK) models for .
Physiologically Based Pharmacokinetic Modelling - an ~ Physiologically Based Pharmacokinetic Modelling. Physiologically based pharmacokinetic modeling is a quantitative attempt to model exactly the drug disposition in the body in terms of physiologically identifiable compartments and thereby to predict tissue concentrations within specific organs (liver, kidney), tissues (skin, muscle), and fluids (blood, CSF, urine).
Jingtao Lu's research works ~ Developing a Physiologically-Based Pharmacokinetic Model Knowledgebase in Support of Provisional Model Construction. Article. . Developing physiologically-based pharmacokinetic (PBPK) models for .
The development of a physiologically-based pharmacokinetic ~ A physiologically-based pharmacokinetic model (PBPK) was developed to describe the kinetics of 2,3,7,8-tetrachlorodibenzo-p-dioxin (TCDD) in the eastern oyster (Crassostrea virginica).The estimated t 1/2 of elimination for a bolus dose of TCDD in C. virginica is ≈14–24 days based on both the experimental data and the PBPK model. The highest dioxin concentration reached during 28-days was .
Physiologically Based Pharmacokinetic Modeling : Science ~ This book presents an overview of the underlying principles of PBPK model development. Then it provides a compendium of PBPK modeling information, including historical development, specific modeling challenges, and current practices for: * Halogenated Alkanes * Halogenated Alkenes * Alkene and Aromatic Compounds * Reactive Vapors in the Nasal .
A physiologically-based pharmacokinetic model adequately ~ A physiologically-based pharmacokinetic (PBPK) model was developed for YH4808, a novel potassium-competitive acid blocker, using the SimCYP® Simulator based on the physicochemical, in vitro preclinical and clinical data of YH4808. The PBPK model was optimized using YH4808 concentrations obtained from the single-dose phase I clinical trial.
Quantitative Structure–Activity Relationship Models of ~ Developing a Physiologically-Based Pharmacokinetic Model Knowledgebase in Support of Provisional Model Construction. PLOS Computational Biology 2016, 12 (2) , e1004495. DOI: 10.1371/journal.pcbi.1004495.
From preclinical to human – prediction of oral absorption ~ A case example is presented in which a physiologically based pharmacokinetic (PBPK) approach has been used to model the absorption of a lipophilic BCS (biopharmaceutical classification system) Class II investigational compound predominantly metabolized by CYP3A4 and not shown to be a P‐gp substrate (in vitro studies), when administered as a nanosuspension formulation.
From preclinical to human – prediction of oral absorption ~ Skip to Article Content; Skip to Article Information
Challenges Associated With Applying Physiologically Based ~ Developing a physiologically-based pharmacokinetic model knowledgebase in support of provisional model construction. PLOS Comput. Biol 12, e1004495. [PMC free article] [Google Scholar] Martin OV, Martin S, and Kortenkamp A (2013).
Ligand-Based Models for the Isoform Specificity of ~ Developing a Physiologically-Based Pharmacokinetic Model Knowledgebase in Support of Provisional Model Construction. PLOS Computational Biology 2016 , 12 (2) , e1004495.