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 journalReview articlepeer-review

5 Citations (SciVal)

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 languageEnglish
Pages (from-to)156-167
Number of pages12
JournalCPT: Pharmacometrics and Systems Pharmacology
Volume6
Issue number3
DOIs
Publication statusPublished - 01 Mar 2017
Externally publishedYes

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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