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 |
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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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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 |
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 ScienceSubjects
Computing > Data ScienceSciences > Biomedical Sciences
Sciences > Pharmacy and Pharmacology
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