Next generation physiologically based kinetic (NG-PBK) models in support of regulatory decision making

Paini, A, Leonard, JA, Joossens, E et al. (21 more authors) (2019) Next generation physiologically based kinetic (NG-PBK) models in support of regulatory decision making. Computational Toxicology, 9. pp. 61-72. ISSN 2468-1113

Abstract

Metadata

Authors/Creators:
  • Paini, A
  • Leonard, JA
  • Joossens, E
  • Bessems, JGM
  • Desalegn, A
  • Dorne, JL
  • Gosling, JP https://orcid.org/0000-0002-4072-3022
  • Heringa, MB
  • Klaric, M
  • Kliment, T
  • Kramer, NI
  • Loizou, G
  • Louisse, J
  • Lumen, A
  • Madden, JC
  • Patterson, EA
  • Proença, S
  • Punt, A
  • Setzer, RW
  • Suciu, N
  • Troutman, J
  • Yoon, M
  • Worth, A
  • Tan, YM
Copyright, Publisher and Additional Information: © 2018 The Authors. Published by Elsevier B.V. This is an open access article under the terms of the Attribution-NonCommercial-NoDerivatives 4.0 International License (CC BY-NC-ND 4.0). To view a copy of this license, visit https://creativecommons.org/licenses/by-nc-nd/4.0/.
Keywords: Physiologically based kinetic models; PBPK; PBTK; Toxicokinetics; In vitro; In silico
Dates:
  • Published: February 2019
  • Accepted: 8 November 2018
  • Published (online): 10 November 2018
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Maths and Physical Sciences (Leeds) > School of Mathematics (Leeds) > Statistics (Leeds)
Depositing User: Symplectic Publications
Date Deposited: 19 Nov 2018 12:08
Last Modified: 26 Nov 2018 16:27
Status: Published
Publisher: Elsevier
Identification Number: https://doi.org/10.1016/j.comtox.2018.11.002

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