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

J. Timmis; K. Alden; P. Andrews; E. Clark; A. Nellis; B. Naylor; M. Coles; P. Kaye

doi:10.1002/psp4.12157

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

J. Timmis^*, K. Alden, P. Andrews, E. Clark, A. Nellis, B. Naylor, M. Coles, P. Kaye

^*Corresponding author for this work

Research output: Contribution to journal › Review Article › peer-review

5 Citations (Scopus)

Abstract

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.

Original language	English
Pages (from-to)	156-167
Number of pages	12
Journal	CPT: Pharmacometrics and Systems Pharmacology
Volume	6
Issue number	3
DOIs	https://doi.org/10.1002/psp4.12157
Publication status	Published - 01 Mar 2017
Externally published	Yes

Keywords

Animals
Antiprotozoal Agents/immunology
Biomedical Engineering/methods
Humans
Immunity, Cellular/drug effects
Leishmaniasis, Visceral/immunology
Models, Biological
Systems Biology/methods

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

abstract = "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.",

keywords = "Animals, Antiprotozoal Agents/immunology, Biomedical Engineering/methods, Humans, Immunity, Cellular/drug effects, Leishmaniasis, Visceral/immunology, Models, Biological, Systems Biology/methods",

author = "J. Timmis and K. Alden and P. Andrews and E. Clark and A. Nellis and B. Naylor and M. Coles and P. Kaye",

note = "Funding Information: This work was partly funded by the Crack-IT Programme, grant number NC/C013117/1 and NC/C013205/1. P.M.K. would also like to acknowledge support from the MRC Programme grant G1000230. J.T. would like to acknowledge support from The Royal Academy of Engineering and The Royal Society. Publisher Copyright: {\textcopyright} 2016 The Authors CPT: Pharmacometrics & Systems Pharmacology published by Wiley Periodicals, Inc. on behalf of American Society for Clinical Pharmacology and Therapeutics.",

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doi = "10.1002/psp4.12157",

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AU - Timmis, J.

AU - Alden, K.

AU - Andrews, P.

AU - Clark, E.

AU - Nellis, A.

AU - Naylor, B.

AU - Coles, M.

AU - Kaye, P.

N1 - Funding Information: This work was partly funded by the Crack-IT Programme, grant number NC/C013117/1 and NC/C013205/1. P.M.K. would also like to acknowledge support from the MRC Programme grant G1000230. J.T. would like to acknowledge support from The Royal Academy of Engineering and The Royal Society. Publisher Copyright: © 2016 The Authors CPT: Pharmacometrics & Systems Pharmacology published by Wiley Periodicals, Inc. on behalf of American Society for Clinical Pharmacology and Therapeutics.

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N2 - 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.

AB - 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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KW - Antiprotozoal Agents/immunology

KW - Biomedical Engineering/methods

KW - Humans

KW - Immunity, Cellular/drug effects

KW - Leishmaniasis, Visceral/immunology

KW - Models, Biological

KW - Systems Biology/methods

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M3 - Review Article

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SN - 2163-8306

VL - 6

SP - 156

EP - 167

JO - CPT: Pharmacometrics and Systems Pharmacology

JF - CPT: Pharmacometrics and Systems Pharmacology

IS - 3

ER -

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

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Keywords

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