Predictive performance of physiologically based kinetic (PBK) models based on in-silico/in vitro-in vivo extrapolation (IS/IVIVE)

被引:0
|
作者
Kalra, P. [1 ]
Zhou, H. [1 ]
Lawless, M. [1 ]
机构
[1] Simulat Plus, Lancaster, PA USA
关键词
D O I
暂无
中图分类号
R99 [毒物学(毒理学)];
学科分类号
100405 ;
摘要
P22-40
引用
下载
收藏
页码:S259 / S260
页数:2
相关论文
共 50 条
  • [1] 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
  • [2] Predictive Performance of Next Generation Human Physiologically Based Kinetic (PBK) Models Based on In Vitro and In Silico Input Data
    Punt, Ans
    Louisse, Jochem
    Beekmann, Karsten
    Pinckaers, Nicole
    Fabian, Eric
    van Ravenzwaay, Bennard
    Carmichael, Paul L.
    Sorrell, Ian
    Moxon, Thomas E.
    ALTEX-ALTERNATIVES TO ANIMAL EXPERIMENTATION, 2022, 39 (02) : 221 - 234
  • [3] Towards best use and regulatory acceptance of generic physiologically based kinetic (PBK) models for in vitro-to-in vivo extrapolation (IVIVE) in chemical risk assessment
    Abdulkarim Najjar
    Ans Punt
    John Wambaugh
    Alicia Paini
    Corie Ellison
    Styliani Fragki
    Enrica Bianchi
    Fagen Zhang
    Joost Westerhout
    Dennis Mueller
    Hequn Li
    Quan Shi
    Timothy W. Gant
    Phil Botham
    Rémi Bars
    Aldert Piersma
    Ben van Ravenzwaay
    Nynke I. Kramer
    Archives of Toxicology, 2022, 96 : 3407 - 3419
  • [4] Towards best use and regulatory acceptance of generic physiologically based kinetic (PBK) models for in vitro-to-in vivo extrapolation (IVIVE) in chemical risk assessment
    Najjar, Abdulkarim
    Punt, Ans
    Wambaugh, John
    Paini, Alicia
    Ellison, Corie
    Fragki, Styliani
    Bianchi, Enrica
    Zhang, Fagen
    Westerhout, Joost
    Mueller, Dennis
    Li, Hequn
    Shi, Quan
    Gant, Timothy W.
    Botham, Phil
    Bars, Remi
    Piersma, Aldert
    van Ravenzwaay, Ben
    Kramer, Nynke I.
    ARCHIVES OF TOXICOLOGY, 2022, 96 (12) : 3407 - 3419
  • [5] GENOTYPE-BASED IN VITRO-IN VIVO EXTRAPOLATION (IVIVE) OF EFAVIRENZ PHARMACOKINETICS USING A PHYSIOLOGICALLY-BASED PHARMACOKINETIC MODEL
    Xu, C.
    Quinney, S.
    Guo, Y.
    Desta, Z.
    CLINICAL PHARMACOLOGY & THERAPEUTICS, 2012, 91 : S30 - S30
  • [6] PBTK modeling of potential endocrine modulators: In vitro-in vivo extrapolation (IVIVE) and in silico-in vitro based risk assessments
    Fabian, E.
    Haase, C.
    Ramirez, T.
    Gomes, C.
    Birk, B.
    van Ravenzwaay, B.
    Landsiedel, R.
    NAUNYN-SCHMIEDEBERGS ARCHIVES OF PHARMACOLOGY, 2017, 390 : S79 - S79
  • [7] 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
  • [8] Predictive Performance of Next Generation Physiologically Based Kinetic (PBK) Model Predictions in Rats Based on In Vitro and In Silico Input Data
    Punt, Ans
    Louisse, Jochem
    Pinckaers, Nicole
    Fabian, Eric
    van Ravenzwaay, Bennard
    TOXICOLOGICAL SCIENCES, 2022, 186 (01) : 18 - 28
  • [9] 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
  • [10] Using physiologically based pharmacokinetic modelling for in silico-in vitro-in vivo extrapolation to predict chemical exposure
    Lawless, M.
    Zhou, H.
    Fraczkiewicz, G.
    TOXICOLOGY LETTERS, 2016, 258 : S119 - S120