Literature DB >> 27069774

Good Practices in Model-Informed Drug Discovery and Development: Practice, Application, and Documentation.

S F Marshall1, R Burghaus2, V Cosson3, S Y A Cheung4, M Chenel5, O DellaPasqua6, N Frey3, B Hamrén7, L Harnisch1, F Ivanow8, T Kerbusch9, J Lippert2, P A Milligan1, S Rohou10, A Staab11, J L Steimer12, C Tornøe13, S A G Visser14.   

Abstract

This document was developed to enable greater consistency in the practice, application, and documentation of Model-Informed Drug Discovery and Development (MID3) across the pharmaceutical industry. A collection of "good practice" recommendations are assembled here in order to minimize the heterogeneity in both the quality and content of MID3 implementation and documentation. The three major objectives of this white paper are to: i) inform company decision makers how the strategic integration of MID3 can benefit R&D efficiency; ii) provide MID3 analysts with sufficient material to enhance the planning, rigor, and consistency of the application of MID3; and iii) provide regulatory authorities with substrate to develop MID3 related and/or MID3 enabled guidelines.

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Year:  2016        PMID: 27069774      PMCID: PMC4809625          DOI: 10.1002/psp4.12049

Source DB:  PubMed          Journal:  CPT Pharmacometrics Syst Pharmacol        ISSN: 2163-8306


  74 in total

Review 1.  Role of modelling and simulation: a European regulatory perspective.

Authors:  Siv Jönsson; Anja Henningsson; Monica Edholm; Tomas Salmonson
Journal:  Clin Pharmacokinet       Date:  2012-02-01       Impact factor: 6.447

Review 2.  Physiologically based pharmacokinetics joined with in vitro-in vivo extrapolation of ADME: a marriage under the arch of systems pharmacology.

Authors:  A Rostami-Hodjegan
Journal:  Clin Pharmacol Ther       Date:  2012-05-30       Impact factor: 6.875

Review 3.  Pharmacokinetics/Pharmacodynamics and the stages of drug development: role of modeling and simulation.

Authors:  Jenny Y Chien; Stuart Friedrich; Michael A Heathman; Dinesh P de Alwis; Vikram Sinha
Journal:  AAPS J       Date:  2005-10-07       Impact factor: 4.009

4.  Does size matter in R&D productivity? If not, what does?

Authors:  Michael Ringel; Peter Tollman; Greg Hersch; Ulrik Schulze
Journal:  Nat Rev Drug Discov       Date:  2013-10-18       Impact factor: 84.694

Review 5.  Basic concepts of pharmacokinetic/pharmacodynamic (PK/PD) modelling.

Authors:  B Meibohm; H Derendorf
Journal:  Int J Clin Pharmacol Ther       Date:  1997-10       Impact factor: 1.366

6.  An evaluation of the integration of pharmacokinetic and pharmacodynamic principles in clinical drug development. Experience within Hoffmann La Roche.

Authors:  B G Reigner; P E Williams; I H Patel; J L Steimer; C Peck; P van Brummelen
Journal:  Clin Pharmacokinet       Date:  1997-08       Impact factor: 6.447

Review 7.  Physiologically based pharmacokinetic modeling in drug discovery and development: a pharmaceutical industry perspective.

Authors:  H M Jones; Y Chen; C Gibson; T Heimbach; N Parrott; S A Peters; J Snoeys; V V Upreti; M Zheng; S D Hall
Journal:  Clin Pharmacol Ther       Date:  2015-01-09       Impact factor: 6.875

8.  Systems pharmacology for drug discovery and development: paradigm shift or flash in the pan?

Authors:  P Vicini; P H van der Graaf
Journal:  Clin Pharmacol Ther       Date:  2013-05       Impact factor: 6.875

Review 9.  Understanding the dose-effect relationship: clinical application of pharmacokinetic-pharmacodynamic models.

Authors:  N H Holford; L B Sheiner
Journal:  Clin Pharmacokinet       Date:  1981 Nov-Dec       Impact factor: 6.447

Review 10.  Pharmacokinetic and pharmacodynamic modeling in vivo.

Authors:  N H Holford; L B Sheiner
Journal:  Crit Rev Bioeng       Date:  1981
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  99 in total

1.  Model-based approaches for ivabradine development in paediatric population, part I: study preparation assessment.

Authors:  Sophie Peigné; François Bouzom; Karl Brendel; Charlotte Gesson; Sylvain Fouliard; Marylore Chenel
Journal:  J Pharmacokinet Pharmacodyn       Date:  2015-11-12       Impact factor: 2.745

Review 2.  Translational Quantitative Systems Pharmacology in Drug Development: from Current Landscape to Good Practices.

Authors:  Jane P F Bai; Justin C Earp; Venkateswaran C Pillai
Journal:  AAPS J       Date:  2019-06-03       Impact factor: 4.009

3.  Model-free and kinetic modelling approaches for characterising non-equilibrium pharmacological pathway activity: Internalisation of cannabinoid CB1 receptors.

Authors:  Xiao Zhu; David B Finlay; Michelle Glass; Stephen B Duffull
Journal:  Br J Pharmacol       Date:  2019-05-21       Impact factor: 8.739

4.  Body of evidence and approaches applied in the clinical development programme of fixed-dose combinations in the European Union from 2010 to 2016.

Authors:  Asbjørn Nøhr-Nielsen; Marie Louise De Bruin; Mikael Thomsen; Christian Bressen Pipper; Theis Lange; Ole Jannik Bjerrum; Trine Meldgaard Lund
Journal:  Br J Clin Pharmacol       Date:  2019-06-17       Impact factor: 4.335

Review 5.  Application of Pharmacokinetics and Pharmacodynamics in Product Life Cycle Management. A Case Study with a Carbidopa-Levodopa Extended-Release Formulation.

Authors:  Nishit B Modi
Journal:  AAPS J       Date:  2017-01-24       Impact factor: 4.009

6.  QSP Toolbox: Computational Implementation of Integrated Workflow Components for Deploying Multi-Scale Mechanistic Models.

Authors:  Yougan Cheng; Craig J Thalhauser; Shepard Smithline; Jyotsna Pagidala; Marko Miladinov; Heather E Vezina; Manish Gupta; Tarek A Leil; Brian J Schmidt
Journal:  AAPS J       Date:  2017-05-24       Impact factor: 4.009

7.  Commentary on the EMA Reflection Paper on the use of extrapolation in the development of medicines for paediatrics.

Authors:  Cécile Ollivier; Andrew Thomson; Efthymios Manolis; Kevin Blake; Kristin E Karlsson; Catherijne A J Knibbe; Gérard Pons; Robert Hemmings
Journal:  Br J Clin Pharmacol       Date:  2019-02-28       Impact factor: 4.335

8.  Data standards for model-informed drug development: an ISoP initiative.

Authors:  Andrijana Radivojevic; Brian Corrigan; Nicholas Downie; Robert Fox; Jill Fiedler-Kelly; Huan Liu; Murad Melhem; David Radke; Peter Schaefer; Jing Su; Maciej J Swat; Nathan S Teuscher; Neelima Thanneer; Alice Zong; Justin J Wilkins
Journal:  J Pharmacokinet Pharmacodyn       Date:  2018-07-25       Impact factor: 2.745

Review 9.  Scientific white paper on concentration-QTc modeling.

Authors:  Christine Garnett; Peter L Bonate; Qianyu Dang; Georg Ferber; Dalong Huang; Jiang Liu; Devan Mehrotra; Steve Riley; Philip Sager; Christoffer Tornoe; Yaning Wang
Journal:  J Pharmacokinet Pharmacodyn       Date:  2017-12-05       Impact factor: 2.745

10.  Model-Based Adaptive Optimal Design (MBAOD) Improves Combination Dose Finding Designs: an Example in Oncology.

Authors:  Philippe B Pierrillas; Sylvain Fouliard; Marylore Chenel; Andrew C Hooker; Lena E Friberg; Mats O Karlsson
Journal:  AAPS J       Date:  2018-03-07       Impact factor: 4.009

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