Literature DB >> 22035569

Application of PBPK modelling in drug discovery and development at Pfizer.

Hannah M Jones1, Maurice Dickins, Kuresh Youdim, James R Gosset, Neil J Attkins, Tanya L Hay, Ian K Gurrell, Y Raj Logan, Peter J Bungay, Barry C Jones, Iain B Gardner.   

Abstract

Early prediction of human pharmacokinetics (PK) and drug-drug interactions (DDI) in drug discovery and development allows for more informed decision making. Physiologically based pharmacokinetic (PBPK) modelling can be used to answer a number of questions throughout the process of drug discovery and development and is thus becoming a very popular tool. PBPK models provide the opportunity to integrate key input parameters from different sources to not only estimate PK parameters and plasma concentration-time profiles, but also to gain mechanistic insight into compound properties. Using examples from the literature and our own company, we have shown how PBPK techniques can be utilized through the stages of drug discovery and development to increase efficiency, reduce the need for animal studies, replace clinical trials and to increase PK understanding. Given the mechanistic nature of these models, the future use of PBPK modelling in drug discovery and development is promising, however, some limitations need to be addressed to realize its application and utility more broadly.

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Year:  2011        PMID: 22035569     DOI: 10.3109/00498254.2011.627477

Source DB:  PubMed          Journal:  Xenobiotica        ISSN: 0049-8254            Impact factor:   1.908


  28 in total

1.  Variance based global sensitivity analysis of physiologically based pharmacokinetic absorption models for BCS I-IV drugs.

Authors:  Nicola Melillo; Leon Aarons; Paolo Magni; Adam S Darwich
Journal:  J Pharmacokinet Pharmacodyn       Date:  2018-12-14       Impact factor: 2.745

2.  Whole-body physiology-based pharmacokinetics of caspofungin for general patients, intensive care unit patients and hepatic insufficiency patients.

Authors:  Qian-Ting Yang; Ya-Jing Zhai; Lu Chen; Tao Zhang; Yan Yan; Ti Meng; Lei-Chao Liu; Li-Mei Chen; Xue Wang; Ya-Lin Dong
Journal:  Acta Pharmacol Sin       Date:  2018-05-31       Impact factor: 6.150

Review 3.  Dose selection based on physiologically based pharmacokinetic (PBPK) approaches.

Authors:  Hannah M Jones; Kapil Mayawala; Patrick Poulin
Journal:  AAPS J       Date:  2012-12-27       Impact factor: 4.009

4.  Ubiquity: a framework for physiological/mechanism-based pharmacokinetic/pharmacodynamic model development and deployment.

Authors:  John M Harrold; Anson K Abraham
Journal:  J Pharmacokinet Pharmacodyn       Date:  2014-03-12       Impact factor: 2.745

5.  Whole body physiologically based modelling of β-blockers in the rat: events in tissues and plasma following an i.v. bolus dose.

Authors:  S Y A Cheung; T Rodgers; L Aarons; I Gueorguieva; G L Dickinson; S Murby; C Brown; B Collins; M Rowland
Journal:  Br J Pharmacol       Date:  2017-12-01       Impact factor: 8.739

6.  Sampling Site Has a Critical Impact on Physiologically Based Pharmacokinetic Modeling.

Authors:  Weize Huang; Nina Isoherranen
Journal:  J Pharmacol Exp Ther       Date:  2019-10-11       Impact factor: 4.030

7.  An S-warfarin and AZD1981 interaction: in vitro and clinical pilot data suggest the N-deacetylated amino acid metabolite as the primary perpetrator.

Authors:  Ken Grime; Rikard Pehrson; Pär Nordell; Michael Gillen; Wolfgang Kühn; Timothy Mant; Marie Brännström; Petter Svanberg; Barry Jones; Clive Brealey
Journal:  Br J Clin Pharmacol       Date:  2016-10-13       Impact factor: 4.335

Review 8.  Lipid-associated oral delivery: Mechanisms and analysis of oral absorption enhancement.

Authors:  Oljora Rezhdo; Lauren Speciner; Rebecca Carrier
Journal:  J Control Release       Date:  2016-08-09       Impact factor: 9.776

9.  Ontogeny of plasma proteins, albumin and binding of diazepam, cyclosporine, and deltamethrin.

Authors:  Pankaj K Sethi; Catherine A White; Brian S Cummings; Ronald N Hines; Srinivasa Muralidhara; James V Bruckner
Journal:  Pediatr Res       Date:  2015-11-16       Impact factor: 3.756

10.  Preclinical pharmacokinetics of TPN729MA, a novel PDE5 inhibitor, and prediction of its human pharmacokinetics using a PBPK model.

Authors:  Zhi-wei Gao; Yun-ting Zhu; Ming-ming Yu; Bin Zan; Jia Liu; Yi-fan Zhang; Xiao-yan Chen; Xue-ning Li; Da-fang Zhong
Journal:  Acta Pharmacol Sin       Date:  2015-11-23       Impact factor: 6.150

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