Building confidence in quantitative systems pharmacology models: An engineer's guide to exploring the rationale in model design and development

This tutorial promotes good practice for exploring the rationale of systems pharmacology models. A safety systems engineering inspired notation approach provides much needed rigor and transparency in development and application of models for therapeutic discovery and design of intervention strategie...

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Detalles Bibliográficos
Autores principales: Timmis, J, Alden, K, Andrews, P, Clark, E, Nellis, A, Naylor, B, Coles, M, Kaye, P
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2017
Materias:
Tutorial
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5351409/
https://www.ncbi.nlm.nih.gov/pubmed/27863172
http://dx.doi.org/10.1002/psp4.12157
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author Timmis, J
Alden, K
Andrews, P
Clark, E
Nellis, A
Naylor, B
Coles, M
Kaye, P
author_facet Timmis, J
Alden, K
Andrews, P
Clark, E
Nellis, A
Naylor, B
Coles, M
Kaye, P
author_sort Timmis, J
collection PubMed
description This tutorial promotes good practice for exploring the rationale of systems pharmacology models. A safety systems engineering inspired notation approach provides much needed rigor and transparency in development and application of models for therapeutic discovery and design of intervention strategies. Structured arguments over a model's development, underpinning biological knowledge, and analyses of model behaviors are constructed to determine the confidence that a model is fit for the purpose for which it will be applied.
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spelling pubmed-53514092017-03-22 Building confidence in quantitative systems pharmacology models: An engineer's guide to exploring the rationale in model design and development Timmis, J Alden, K Andrews, P Clark, E Nellis, A Naylor, B Coles, M Kaye, P CPT Pharmacometrics Syst Pharmacol Tutorial This tutorial promotes good practice for exploring the rationale of systems pharmacology models. A safety systems engineering inspired notation approach provides much needed rigor and transparency in development and application of models for therapeutic discovery and design of intervention strategies. Structured arguments over a model's development, underpinning biological knowledge, and analyses of model behaviors are constructed to determine the confidence that a model is fit for the purpose for which it will be applied. John Wiley and Sons Inc. 2017-02-09 2017-03 /pmc/articles/PMC5351409/ /pubmed/27863172 http://dx.doi.org/10.1002/psp4.12157 Text en © 2016 The Authors CPT: Pharmacometrics & Systems Pharmacology published by Wiley Periodicals, Inc. on behalf of American Society for Clinical Pharmacology and Therapeutics This is an open access article under the terms of the Creative Commons Attribution (http://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Tutorial
Timmis, J
Alden, K
Andrews, P
Clark, E
Nellis, A
Naylor, B
Coles, M
Kaye, P
Building confidence in quantitative systems pharmacology models: An engineer's guide to exploring the rationale in model design and development
title Building confidence in quantitative systems pharmacology models: An engineer's guide to exploring the rationale in model design and development
title_full Building confidence in quantitative systems pharmacology models: An engineer's guide to exploring the rationale in model design and development
title_fullStr Building confidence in quantitative systems pharmacology models: An engineer's guide to exploring the rationale in model design and development
title_full_unstemmed Building confidence in quantitative systems pharmacology models: An engineer's guide to exploring the rationale in model design and development
title_short Building confidence in quantitative systems pharmacology models: An engineer's guide to exploring the rationale in model design and development
title_sort building confidence in quantitative systems pharmacology models: an engineer's guide to exploring the rationale in model design and development
topic Tutorial
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5351409/
https://www.ncbi.nlm.nih.gov/pubmed/27863172
http://dx.doi.org/10.1002/psp4.12157
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