Predicting Drug Concentration-Time Profiles in Multiple CNS Compartments Using a Comprehensive Physiologically-Based Pharmacokinetic Model-Reference-Cited by-同舟云学术

Predicting Drug Concentration-Time Profiles in Multiple CNS Compartments Using a Comprehensive Physiologically-Based Pharmacokinetic Model

Published:2017-10-13 Issue:11 Volume:6 Page:765-777
ISSN:2163-8306
Container-title:CPT: Pharmacometrics & Systems Pharmacology
language:en
Short-container-title:CPT Pharmacometrics Syst. Pharmacol.

Author:

Yamamoto Yumi¹,Välitalo Pyry A.¹,Huntjens Dymphy R.²,Proost Johannes H.³,Vermeulen An²,Krauwinkel Walter⁴,Beukers Margot W.⁵,van den Berg Dirk-Jan¹,Hartman Robin¹,Wong Yin Cheong¹^ORCID,Danhof Meindert¹,van Hasselt John G. C.¹,de Lange Elizabeth C. M.¹

Affiliation:

1. Division of Pharmacology; Cluster Systems Pharmacology, Leiden Academic Centre for Drug Research, Leiden University; Leiden The Netherlands

2. Quantitative Sciences, Janssen Research and Development, a division of Janssen Pharmaceutica NV; Beerse Belgium

3. Division of Pharmacokinetics; Toxicology and Targeting, University of Groningen; Groningen The Netherlands

4. Department of Clinical Pharmacology and Exploratory Development; Astellas Pharma BV; Leiden The Netherlands

5. Science Business Support; Leiden the Netherlands

Funder

European Union Marie Curie programme

Publisher

Wiley

Subject

Pharmacology (medical),Modeling and Simulation

Reference47 articles.

1. Can the pharmaceutical industry reduce attrition rates?;Kola;Nat. Rev. Drug Discov.,2004

2. Microdialysis: the key to physiologically based model prediction of human CNS target site concentrations;Yamamoto;AAPS J.,2017

3. Structure-brain exposure relationships in rat and human using a novel data set of unbound drug concentrations in brain interstitial and cerebrospinal fluids;Fridén;J. Med. Chem.,2009

4. Molecular properties determining unbound intracellular and extracellular brain exposure of CNS drug candidates;Loryan;Mol. Pharm.,2015

5. In silico prediction of unbound brain-to-plasma concentration ratio using machine learning algorithms;Chen;J. Mol. Graph. Model.,2011

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