Best Practices to Maximize the Use and Reuse of Quantitative and Systems Pharmacology Models: Recommendations From the United Kingdom Quantitative and Systems Pharmacology Network.


Journal

CPT: pharmacometrics & systems pharmacology
ISSN: 2163-8306
Titre abrégé: CPT Pharmacometrics Syst Pharmacol
Pays: United States
ID NLM: 101580011

Informations de publication

Date de publication:
05 2019
Historique:
received: 20 09 2018
revised: 04 12 2018
accepted: 17 12 2018
pubmed: 23 1 2019
medline: 12 8 2020
entrez: 23 1 2019
Statut: ppublish

Résumé

The lack of standardization in the way that quantitative and systems pharmacology (QSP) models are developed, tested, and documented hinders their reproducibility, reusability, and expansion or reduction to alternative contexts. This in turn undermines the potential impact of QSP in academic, industrial, and regulatory frameworks. This article presents a minimum set of recommendations from the UK Quantitative and Systems Pharmacology Network (UK QSP Network) to guide QSP practitioners seeking to maximize their impact, and stakeholders considering the use of QSP models in their environment.

Identifiants

pubmed: 30667172
doi: 10.1002/psp4.12381
pmc: PMC6533407
doi:

Substances chimiques

Parathyroid Hormone 0

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

259-272

Subventions

Organisme : Medical Research Council
Pays : United Kingdom
Organisme : Biotechnology and Biological Sciences Research Council
ID : BB/N019482/1
Pays : United Kingdom

Informations de copyright

© 2019 The Authors CPT: Pharmacometrics & Systems Pharmacology published by Wiley Periodicals, Inc. on behalf of the American Society for Clinical Pharmacology and Therapeutics.

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Auteurs

Lourdes Cucurull-Sanchez (L)

GlaxoSmithKline Medicines Research Centre, Stevenage, UK.

Michael J Chappell (MJ)

School of Engineering, University of Warwick, Coventry, UK.

Vijayalakshmi Chelliah (V)

Certara QSP, Canterbury, UK.

S Y Amy Cheung (SY)

Quantitative Clinical Pharmacology, Early Clinical Development, Innovative Medicines and Early Development Biotech Unit, AstraZeneca, Cambridge, UK.
Certara, Princeton, New Jersey, USA.

Gianne Derks (G)

Department of Mathematics, University of Surrey, Guildford, UK.

Mark Penney (M)

Union Chimique Belge-Celltech, Slough, Berkshire, UK.

Alex Phipps (A)

Pharmaceutical Sciences, Roche Pharmaceutical Research & Early Development, Roche Innovation Center, Welwyn Garden City, UK.

Rahuman S Malik-Sheriff (RS)

European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Cambridge, UK.

Jon Timmis (J)

Department of Electronic Engineering, University of York, York, UK.

Marcus J Tindall (MJ)

Department of Mathematics and Statistics, University of Reading, Reading, UK.
The Institute for Cardiovascular and Metabolic Research, University of Reading, Reading, UK.

Piet H van der Graaf (PH)

Certara QSP, Canterbury, UK.
Leiden Academic Centre for Drug Research, Leiden, The Netherlands.

Paolo Vicini (P)

Clinical Pharmacology, Pharmacometrics and Drug Metabolism and Pharmaco-Kinetics, MedImmune, Cambridge, UK.
Development Sciences, Kymab Ltd, Cambridge, UK.

James W T Yates (JWT)

Drug Metabolism and Pharmaco-Kinetics, Oncology, Innovative Medicines and Early Development, AstraZeneca, Chesterford Research Park, Cambridge, UK.

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Classifications MeSH