Methodologies for quantitative systems pharmacology (QSP) models: Design and estimation

B. Ribba*, H. P. Grimm, B. Agoram, M. R. Davies, K. Gadkar, S. Niederer, N. Van Riel, J. Timmis, P. H. Van Der Graaf

*Corresponding author for this work

Research output: Contribution to journalReview articlepeer-review

25 Citations (SciVal)

Abstract

With the increased interest in the application of quantitative systems pharmacology (QSP) models within medicine research and development, there is an increasing need to formalize model development and verification aspects. In February 2016, a workshop was held at Roche Pharma Research and Early Development to focus discussions on two critical methodological aspects of QSP model development: optimal structural granularity and parameter estimation. We here report in a perspective article a summary of presentations and discussions.

Original languageEnglish
Pages (from-to)496-498
Number of pages3
JournalCPT: Pharmacometrics and Systems Pharmacology
Volume6
Issue number8
DOIs
Publication statusPublished - Aug 2017

Keywords

  • Congresses as Topic
  • Drug Design
  • Drug Discovery/methods
  • Humans
  • Systems Biology/methods

Fingerprint

Dive into the research topics of 'Methodologies for quantitative systems pharmacology (QSP) models: Design and estimation'. Together they form a unique fingerprint.

Cite this