In silico resources to assist in the development and evaluation of physiologically-based kinetic models

被引:37
|
作者
Madden J.C. [1 ]
Pawar G. [1 ,2 ]
Cronin M.T.D. [1 ]
Webb S. [3 ]
Tan Y.-M. [4 ]
Paini A. [5 ]
机构
[1] School of Pharmacy and Biomolecular Sciences, Liverpool John Moores University, Byrom Street, Liverpool
[2] Pharmacy and Therapeutics Section, School of Clinical and Experimental Medicine, Medical School Building, University of Birmingham, Edgbaston
[3] Department of Applied Mathematics, Liverpool John Moores University, Byrom Street, Liverpool
[4] U.S. Environmental Protection Agency, Office of Pesticide Programs, Health Effects Division, 109 TW Alexander Dr, Research Triangle Park, 27709, NC
[5] European Commission Joint Research Centre (JRC), Ispra, VA
来源
Computational Toxicology | 2019年 / 11卷
关键词
ADME prediction; In silico tools; PBK; PBPK; PBTK;
D O I
10.1016/j.comtox.2019.03.001
中图分类号
学科分类号
摘要
Since their inception in pharmaceutical applications, physiologically-based kinetic (PBK) models are increasingly being used across a range of sectors, such as safety assessment of cosmetics, food additives, consumer goods, pesticides and other chemicals. Such models can be used to construct organ-level concentration-time profiles of xenobiotics. These models are essential in determining the overall internal exposure to a chemical and hence its ability to elicit a biological response. There are a multitude of in silico resources available to assist in the construction and evaluation of PBK models. An overview of these resources is presented herein, encompassing all attributes required for PBK modelling. These include predictive tools and databases for physico-chemical properties and absorption, distribution, metabolism and elimination (ADME) related properties. Data sources for existing PBK models, bespoke PBK software and generic software that can assist in model development are also identified. On-going efforts to harmonise approaches to PBK model construction, evaluation and reporting that would help increase the uptake and acceptance of these models are also discussed. © 2019 Elsevier B.V.
引用
收藏
页码:33 / 49
页数:16
相关论文
共 50 条
  • [21] Physiologically-Based Pharmacokinetics Model Development for Epacadostat
    Gong, Xiaohua
    Ke, Alice
    Ji, Tao
    Zhang, Qiang
    Boer, Jason
    Zhang, Yan
    Diamond, Sharon
    Punwani, Naresh
    Chen, Xuejun
    Yeleswaram, Swamy
    JOURNAL OF PHARMACOKINETICS AND PHARMACODYNAMICS, 2018, 45 : S20 - S20
  • [22] Comment on "In Silico Modeling of Gastrointestinal Drug Absorption: Predictive Performance of Three Physiologically-Based Absorption Models"
    Turner, David B.
    Liu, Bo
    Patel, Nikunjkumar
    Pathak, Shriram M.
    Polak, Sebastian
    Jamei, Masoud
    Dressman, Jennifer
    Rostami-Hodjegan, Amin
    MOLECULAR PHARMACEUTICS, 2017, 14 (01) : 336 - 339
  • [23] Parameter grouping and Co-estimation in Physiologically-Based kinetic models using genetic algorithms
    Tsiros, Periklis
    Minadakis, Vasileios
    Li, Dingsheng
    Sarimveis, Haralambos
    TOXICOLOGICAL SCIENCES, 2024, 200 (01) : 31 - 46
  • [24] KN The application of physiologically-based kinetic modeling in veterinary science
    Gehring, R.
    JOURNAL OF VETERINARY PHARMACOLOGY AND THERAPEUTICS, 2018, 41 : 22 - 22
  • [25] Development of a Physiologically-Based Pharmacokinetic Model for Preterm Neonates: Evaluation with In Vivo Data
    Claassen, Karina
    Thelen, Kirstin
    Coboeken, Katrin
    Gaub, Thomas
    Lippert, Joerg
    Allegaert, Karel
    Willmann, Stefan
    CURRENT PHARMACEUTICAL DESIGN, 2015, 21 (39) : 5688 - 5698
  • [26] Physiologically-based kinetic modeling of vapours toxic to the respiratory tract
    Bogdanffy, MS
    Sarangapani, R
    TOXICOLOGY LETTERS, 2003, 138 (1-2) : 103 - 117
  • [27] An Overview of Physiologically-Based Pharmacokinetic Models for Forensic Science
    Fairman, Kiara
    Choi, Me-Kyoung
    Gonnabathula, Pavani
    Lumen, Annie
    Worth, Andrew
    Paini, Alicia
    Li, Miao
    TOXICS, 2023, 11 (02)
  • [28] Development and application of a generic avian physiologically-based kinetic (PBK) model for three bird species
    Baier, V.
    Paini, A.
    Schaller, S.
    Scanes, C. G.
    Bone, A. J.
    Ebeling, M.
    Preuss, T. G.
    Witt, J.
    Heckmann, D.
    TOXICOLOGY LETTERS, 2022, 368 : S232 - S232
  • [29] A computer-aided framework for development, identification and management of physiologically-based pharmacokinetic models
    Heitzig, Martina
    Linninger, Andreas A.
    Sin, Gurkan
    Gani, Rafiqul
    COMPUTERS & CHEMICAL ENGINEERING, 2014, 71 : 677 - 698
  • [30] The development of a stochastic physiologically-based pharmacokinetic model for lead
    Beck, BD
    Mattuck, RL
    Bowers, TS
    Cohen, JT
    O'Flaherty, E
    SCIENCE OF THE TOTAL ENVIRONMENT, 2001, 274 (1-3) : 15 - 19