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

Cucurull-Sanchez, Lourdes, Chappell, Michael J., Chelliah, Vijayalakshmi, Amy Cheung, S. Y., Derks, Gianne, Penney, Mark, Phipps, Alex, Malik-Sheriff, Rahuman S., Timmis, Jonathan, Tindall, Marcus J., van der Graaf, Piet H., Vicini, Paolo and Yates, James W. T. (2019) Best Practices to Maximize the Use and Reuse of Quantitative and Systems Pharmacology Models: Recommendations From the United Kingdom Quantitative and Systems Pharmacology Network. CPT: Pharmacometrics & Systems Pharmacology, 8 (5). pp. 259-272.

Item Type: Article

Abstract

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.

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More Information

Depositing User: Jonathan Timmis

Identifiers

Item ID: 11854
Identification Number: https://doi.org/10.1002/psp4.12381
URI: http://sure.sunderland.ac.uk/id/eprint/11854
Official URL: https://ascpt.onlinelibrary.wiley.com/doi/full/10....

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Catalogue record

Date Deposited: 24 Mar 2020 14:09
Last Modified: 05 Oct 2020 14:45

Contributors

Author: Lourdes Cucurull-Sanchez
Author: Michael J. Chappell
Author: Vijayalakshmi Chelliah
Author: S. Y. Amy Cheung
Author: Gianne Derks
Author: Mark Penney
Author: Alex Phipps
Author: Rahuman S. Malik-Sheriff
Author: Jonathan Timmis
Author: Marcus J. Tindall
Author: Piet H. van der Graaf
Author: Paolo Vicini
Author: James W. T. Yates

University Divisions

Faculty of Technology > School of Computer Science

Subjects

Computing > Data Science
Sciences > Biomedical Sciences
Sciences > Pharmacy and Pharmacology

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