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

University of York
SimOmics Ltd

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

6 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.",

year = "2017",

month = mar,

day = "1",

doi = "10.1002/psp4.12157",

language = "English",

volume = "6",

pages = "156--167",

journal = "CPT: Pharmacometrics and Systems Pharmacology",

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TY - JOUR

T1 - Building confidence in quantitative systems pharmacology models

T2 - An engineer's guide to exploring the rationale in model design and development

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.

PY - 2017/3/1

Y1 - 2017/3/1

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.

KW - Animals

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

UR - https://www.scopus.com/pages/publications/85013020782

U2 - 10.1002/psp4.12157

DO - 10.1002/psp4.12157

M3 - Review Article

C2 - 27863172

AN - SCOPUS:85013020782

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

Abstract

Keywords

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