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Reproducibility of Quantitative Systems Pharmacology Models: Current Challenges and Future Opportunities
The provision of model code is required for publication in CPT: Pharmacometrics & Systems Pharmacology, enabling quantitative systems pharmacology (QSP) model availability. A searchable repository of published QSP models would enhance model accessibility. We assess the feasibility of establishin...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6482280/ https://www.ncbi.nlm.nih.gov/pubmed/30697975 http://dx.doi.org/10.1002/psp4.12390 |
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author | Kirouac, Daniel C. Cicali, Brian Schmidt, Stephan |
author_facet | Kirouac, Daniel C. Cicali, Brian Schmidt, Stephan |
author_sort | Kirouac, Daniel C. |
collection | PubMed |
description | The provision of model code is required for publication in CPT: Pharmacometrics & Systems Pharmacology, enabling quantitative systems pharmacology (QSP) model availability. A searchable repository of published QSP models would enhance model accessibility. We assess the feasibility of establishing such a resource based on 18 QSP models published in this journal. However, because of the diversity of software platforms (nine), file formats, and functionality, such a resource is premature. We evaluated 12 of the models (those coded in R, PK‐Sim/MoBi, and MATLAB) for functionality. Of the 12, only 4 were executable in that figures from the associated manuscript could be generated via a “run” script. Many researchers are aware of the challenges involved in repurposing published models. We offer some ideas to enable model sharing going forward, including annotation guidelines, standardized formats, and the inclusion of “run” scripts. If practitioners can agree to some minimum standards for the provision of model code, model reuse and extension would be accelerated. |
format | Online Article Text |
id | pubmed-6482280 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-64822802019-05-02 Reproducibility of Quantitative Systems Pharmacology Models: Current Challenges and Future Opportunities Kirouac, Daniel C. Cicali, Brian Schmidt, Stephan CPT Pharmacometrics Syst Pharmacol Review The provision of model code is required for publication in CPT: Pharmacometrics & Systems Pharmacology, enabling quantitative systems pharmacology (QSP) model availability. A searchable repository of published QSP models would enhance model accessibility. We assess the feasibility of establishing such a resource based on 18 QSP models published in this journal. However, because of the diversity of software platforms (nine), file formats, and functionality, such a resource is premature. We evaluated 12 of the models (those coded in R, PK‐Sim/MoBi, and MATLAB) for functionality. Of the 12, only 4 were executable in that figures from the associated manuscript could be generated via a “run” script. Many researchers are aware of the challenges involved in repurposing published models. We offer some ideas to enable model sharing going forward, including annotation guidelines, standardized formats, and the inclusion of “run” scripts. If practitioners can agree to some minimum standards for the provision of model code, model reuse and extension would be accelerated. John Wiley and Sons Inc. 2019-03-03 2019-04 /pmc/articles/PMC6482280/ /pubmed/30697975 http://dx.doi.org/10.1002/psp4.12390 Text en © 2019 The Authors CPT: Pharmacometrics & Systems Pharmacology published by Wiley Periodicals, Inc. on behalf of the American Society for Clinical Pharmacology and Therapeutics. This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc-nd/4.0/ License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made. |
spellingShingle | Review Kirouac, Daniel C. Cicali, Brian Schmidt, Stephan Reproducibility of Quantitative Systems Pharmacology Models: Current Challenges and Future Opportunities |
title | Reproducibility of Quantitative Systems Pharmacology Models: Current Challenges and Future Opportunities |
title_full | Reproducibility of Quantitative Systems Pharmacology Models: Current Challenges and Future Opportunities |
title_fullStr | Reproducibility of Quantitative Systems Pharmacology Models: Current Challenges and Future Opportunities |
title_full_unstemmed | Reproducibility of Quantitative Systems Pharmacology Models: Current Challenges and Future Opportunities |
title_short | Reproducibility of Quantitative Systems Pharmacology Models: Current Challenges and Future Opportunities |
title_sort | reproducibility of quantitative systems pharmacology models: current challenges and future opportunities |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6482280/ https://www.ncbi.nlm.nih.gov/pubmed/30697975 http://dx.doi.org/10.1002/psp4.12390 |
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