Literature DB >> 23712632

The utility of modeling and simulation in drug development and regulatory review.

Shiew-Mei Huang1, Darrell R Abernethy, Yaning Wang, Ping Zhao, Issam Zineh.   

Abstract

US Food and Drug Administration (FDA) has identified innovation in clinical evaluations as a major scientific priority area. This paper provides case studies and updates to describe the efforts by the FDA's Office of Clinical Pharmacology in its development and application of regulatory science, focusing on modeling and simulation. Key issues and challenges are identified that need to be addressed to promote the uptake of modeling and simulation approaches in drug regulation. Published 2013. This article is a U.S. Government work and is in the public domain in the USA. 102:2912-2923, 2013. Published 2013. This article is a U.S. Government work and is in the public domain in the USA.

Keywords:  Modeling and simulation; PBPK; dose-response; drug interactions; pharamcokinetics; pharmacodynamics; regulatory science; systems pharmacology

Mesh:

Year:  2013        PMID: 23712632     DOI: 10.1002/jps.23570

Source DB:  PubMed          Journal:  J Pharm Sci        ISSN: 0022-3549            Impact factor:   3.534


  59 in total

Review 1.  Physiologically Based Pharmacokinetic (PBPK) Modeling and Simulation Approaches: A Systematic Review of Published Models, Applications, and Model Verification.

Authors:  Jennifer E Sager; Jingjing Yu; Isabelle Ragueneau-Majlessi; Nina Isoherranen
Journal:  Drug Metab Dispos       Date:  2015-08-21       Impact factor: 3.922

2.  Predicting the effect of cytochrome P450 inhibitors on substrate drugs: analysis of physiologically based pharmacokinetic modeling submissions to the US Food and Drug Administration.

Authors:  Christian Wagner; Yuzhuo Pan; Vicky Hsu; Joseph A Grillo; Lei Zhang; Kellie S Reynolds; Vikram Sinha; Ping Zhao
Journal:  Clin Pharmacokinet       Date:  2015-01       Impact factor: 6.447

Review 3.  Pharmacometrics and systems pharmacology for metabolic bone diseases.

Authors:  Matthew M Riggs; Serge Cremers
Journal:  Br J Clin Pharmacol       Date:  2019-02-28       Impact factor: 4.335

4.  Physiologically Based Pharmacokinetic Modelling of Hyperforin to Predict Drug Interactions with St John's Wort.

Authors:  Jeffry Adiwidjaja; Alan V Boddy; Andrew J McLachlan
Journal:  Clin Pharmacokinet       Date:  2019-07       Impact factor: 6.447

5.  Application of absorption modeling to predict bioequivalence outcome of two batches of etoricoxib tablets.

Authors:  Amitava Mitra; Filippos Kesisoglou; Peter Dogterom
Journal:  AAPS PharmSciTech       Date:  2014-09-03       Impact factor: 3.246

6.  Application of a physiologically based pharmacokinetic model informed by a top-down approach for the prediction of pharmacokinetics in chronic kidney disease patients.

Authors:  Hiroyuki Sayama; Hiroaki Takubo; Hiroshi Komura; Motohiro Kogayu; Masahiro Iwaki
Journal:  AAPS J       Date:  2014-06-11       Impact factor: 4.009

Review 7.  Physiologically-based pharmacokinetic models: approaches for enabling personalized medicine.

Authors:  Clara Hartmanshenn; Megerle Scherholz; Ioannis P Androulakis
Journal:  J Pharmacokinet Pharmacodyn       Date:  2016-09-19       Impact factor: 2.745

8.  Physiologically-based pharmacokinetic modelling of a CYP2C19 substrate, BMS-823778, utilizing pharmacogenetic data.

Authors:  Jiachang Gong; Lisa Iacono; Ramaswamy A Iyer; William G Humphreys; Ming Zheng
Journal:  Br J Clin Pharmacol       Date:  2018-04-10       Impact factor: 4.335

9.  Predictive Performance of Physiologically-Based Pharmacokinetic Models in Predicting Drug-Drug Interactions Involving Enzyme Modulation.

Authors:  Chia-Hsiang Hsueh; Vicky Hsu; Yuzhuo Pan; Ping Zhao
Journal:  Clin Pharmacokinet       Date:  2018-10       Impact factor: 6.447

10.  Physiologically Based Pharmacokinetic Model of the CYP2D6 Probe Atomoxetine: Extrapolation to Special Populations and Drug-Drug Interactions.

Authors:  Weize Huang; Mariko Nakano; Jennifer Sager; Isabelle Ragueneau-Majlessi; Nina Isoherranen
Journal:  Drug Metab Dispos       Date:  2017-08-31       Impact factor: 3.922

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.