Using physiologically based pharmacokinetic modelling for in silico-in vitro-in vivo extrapolation to predict chemical exposure

被引：0
|
作者：
Lawless, M. [1 ]
Zhou, H. [1 ]
Fraczkiewicz, G. [1 ]
机构：
[1] Simulat Plus, Lancaster, CA USA
来源：
TOXICOLOGY LETTERS | 2016年 / 258卷
关键词：
D O I：
10.1016/j.toxlet.2016.06.1484
中图分类号：
R99 [毒物学（毒理学）];
学科分类号：
100405 ;
摘要：
P05-016
引用
收藏
页码：S119 / S120
页数：2
相关论文
共 50 条
  • [31] Transporter-based in vitro-in vivo extrapolation (IVIVE)
    Lukacova, Viera
    Bolger, Michael B.
    Woltosz, Walter
    Parrott, Neil
    Poirier, Agnes
    Lave, Thierry
    DRUG METABOLISM REVIEWS, 2011, 43 : 210 - 211
  • [32] In Vitro to In Vivo Extrapolation Linked to Physiologically Based Pharmacokinetic Models for Assessing the Brain Drug Disposition
    Yukiko Murata
    Sibylle Neuhoff
    Amin Rostami-Hodjegan
    Hiroyuki Takita
    Zubida M. Al-Majdoub
    Kayode Ogungbenro
    The AAPS Journal, 24
  • [33] Physiologically based pharmacokinetic modeling of benzene metabolism in mice through extrapolation from in vitro to in vivo
    Cole, CE
    Tran, HT
    Schlosser, PM
    JOURNAL OF TOXICOLOGY AND ENVIRONMENTAL HEALTH-PART A, 2001, 62 (06) : 439 - 465
  • [34] In Vitro to In Vivo Extrapolation Linked to Physiologically Based Pharmacokinetic Models for Assessing the Brain Drug Disposition
    Murata, Yukiko
    Neuhoff, Sibylle
    Rostami-Hodjegan, Amin
    Takita, Hiroyuki
    Al-Majdoub, Zubida M.
    Ogungbenro, Kayode
    AAPS JOURNAL, 2022, 24 (01):
  • [35] Addressing in silico-in vitro-in vivo correlation (ISIVIVC) gaps for intrinsic clearance: in silico and in vitro assessment of microsomal binding (FUMIC) to improve prediction of in vivo pharmacokinetics
    Joshi, Elizabeth M.
    Katwaru, Ravi
    Harradine, Paul
    Karnachi, Prabha
    Knemeyer, Ian
    Mattioni, Brian
    DRUG METABOLISM REVIEWS, 2016, 48 : 105 - 105
  • [36] Physiologically Based Pharmacokinetic (PBPK) Modelling to Predict Breast Milk Exposure of Valproic Acid
    Nauwelaerts, Nina
    Bouillon, Thomas
    Deferm, Neel
    Lammens, Bart
    Annaert, Pieter
    FASEB JOURNAL, 2022, 36
  • [37] Application of in vitro data in physiologically-based kinetic models for quantitative in vitro-in vivo extrapolation: A case-study for baclofen
    Kasteel, Emma E. J.
    Lautz, Leonie S.
    Culot, Maxime
    Kramer, Nynke, I
    Zwartsen, Anne
    TOXICOLOGY IN VITRO, 2021, 76
  • [38] PBTK modeling of selected potential endocrine modulators: In vitro-in vivo extrapolation (IVIVE) and in silico/in vitro based risk assessments
    Haase, C.
    Fabian, E.
    Ramirez, T.
    van Ravenzwaay, B.
    Landsiedel, R.
    NAUNYN-SCHMIEDEBERGS ARCHIVES OF PHARMACOLOGY, 2016, 389 (01) : S47 - S47
  • [39] Prediction of hepatic and intestinal glucuronidation using in vitro-in vivo extrapolation
    Naritomi, Yoichi
    Nakamori, Fumihiro
    Furukawa, Takako
    Tabata, Kenji
    DRUG METABOLISM AND PHARMACOKINETICS, 2015, 30 (01) : 21 - 29
  • [40] Evaluation of Age-Related Pyrethroid Pharmacokinetic Differences in Rats: Physiologically-Based Pharmacokinetic Model Development Using In Vitro Data and In Vitro to In Vivo Extrapolation
    Song, Gina
    Moreau, Marjory
    Efremenko, Alina
    Lake, Brian G.
    Wu, Huali
    Bruckner, James V.
    White, Catherine A.
    Osimitz, Thomas G.
    Creek, Moire R.
    Hinderliter, Paul M.
    Clewell, Harvey J.
    Yoon, Miyoung
    TOXICOLOGICAL SCIENCES, 2019, 169 (02) : 365 - 379
12345