Methodologies for Quantitative Systems Pharmacology (QSP) Models: Design and Estimation
Open accessAbstract
With the increased interest in the application of quantitative systems pharmacology (QSP) models within medicine research and development, there is an increasing need to formalize model development and verification aspects. In February 2016, a workshop was held at Roche Pharma Research and Early Development to focus discussions on two critical methodological aspects of QSP model development: optimal structural granularity and parameter estimation. We here report in a perspective article a summary of presentations and discussions.
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A number of publications have recently proposed guidelines or recommendations on modeling practices; some focus on the design process of QSP models, whereas others suggest methods for assessing the quality and/or adequacy of QSP models in particular or models that support the MID3 paradigm in general.
“A number of publications have recently proposed guidelines or recommendations on modeling practices. Some of these focus on the design process of QSP models,26, 27, 28 whereas others suggest methods for assessing the quality and/or adequacy of QSP models in particular27, 28 or models that support the MID3 paradigm in general.29”
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- Authors
- Ribba, B., Grimm, H., Agoram, B., Davies, M., Gadkar, K., Niederer, S., van Riel, N., Timmis, J., & van der Graaf, P.
- Affiliations
- F. Hoffmann-La Roche AG (CH)
- MedImmune; Mountain View California USA
- QT Informatics Limited; Macclesfield UK
- Genentech (US)
- King's College London (GB)
- Eindhoven University of Technology, Department of Biomedical Engineering; Eindhoven The Netherlands
- University of York (GB)
- Leiden Academic Centre for Drug Research (LACDR); Leiden The Netherlands
- Corresponding author
- Ribba, B
- Venue
- CPT: Pharmacometrics & Systems Pharmacology
- Publisher
- Wiley
- Published
- 2017-07-11
- Volume
- 6
- Issue
- 8
- Pages
- 496-498
- ISSN
- 2163-8306 (ISSN-L)
- PMC
- PMC5572127
- OpenAlex
- W2762759784
- Cited by
- 43
- References
- 10
- Citations by year
- 2026: 3 · 2025: 6 · 2024: 4 · 2022: 7 · 2021: 3 · 2020: 7 · 2019: 5 · 2018: 7 · 2017: 1
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- CPT Pharmacometrics & Systems Pharmacology (publishedVersion, cc-by-nc)
- Europe PMC (PubMed Central) (publishedVersion, cc-by-nc)
- PubMed Central (publishedVersion, cc-by-nc)
- PubMed (publishedVersion)
- Research Portal (King's College London) (publishedVersion, cc-by-nc)
- Sunderland Repository (University of Sunderland) (acceptedVersion)
- White Rose Research Online (University of Leeds, The University of Sheffield, University of York) (submittedVersion, other-oa)
- TU/e Research Portal (submittedVersion, other-oa)
- TU/e Research Portal (submittedVersion)
- Data Archiving and Networked Services (DANS) (submittedVersion)
- Pure Amsterdam UMC (submittedVersion, other-oa)
- Funders
- Engineering and Physical Sciences Research Council (EP/M012492/1)
- Topics
- Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods in Clinical Trials
- Physical Sciences › Computer Science › Computational Theory and Mathematics › Computational Drug Discovery Methods
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Gene Regulatory Network Analysis
- Keywords
- quantitative systems pharmacology, model development, model verification, parameter estimation, model design
- MeSH terms
- Congresses as Topic, Humans, Drug Design, Systems Biology, Drug Discovery
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