Close menu

SURE

Sunderland Repository records the research produced by the University of Sunderland including practice-based research and theses.

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

Timmis, Jonathan, Alden, K, Andrews, P, Clark, E, Nellis, A, Naylor, B, Coles, M and Kaye, P (2016) Building confidence in quantitative systems pharmacology models: An engineer's guide to exploring the rationale in model design and development. CPT: Pharmacometrics & Systems Pharmacology. ISSN 2163-8306

Item Type: Article

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.

[img] PDF
psp4.12157 - Published Version
Available under License Creative Commons Attribution.

Download (27kB)

More Information

Depositing User: Jonathan Timmis

Identifiers

Item ID: 11570
Identification Number: https://doi.org/10.1002/psp4.12157
ISSN: 2163-8306
URI: http://sure.sunderland.ac.uk/id/eprint/11570
Official URL: https://ascpt.onlinelibrary.wiley.com/doi/epdf/10....

Users with ORCIDS

Catalogue record

Date Deposited: 27 Feb 2020 14:20
Last Modified: 30 Sep 2020 11:15

Contributors

Author: Jonathan Timmis
Author: K Alden
Author: P Andrews
Author: E Clark
Author: A Nellis
Author: B Naylor
Author: M Coles
Author: P Kaye

University Divisions

Faculty of Technology > School of Computer Science

Subjects

Computing > Data Science

Actions (login required)

View Item (Repository Staff Only) View Item (Repository Staff Only)