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

doi:10.1002/psp4.12206

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

Department of Computer Science

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

29 Citations (Scopus)

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 language	English
Pages (from-to)	496-498
Number of pages	3
Journal	CPT: Pharmacometrics and Systems Pharmacology
Volume	6
Issue number	8
DOIs	https://doi.org/10.1002/psp4.12206
Publication status	Published - Aug 2017

Keywords

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

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title = "Methodologies for quantitative systems pharmacology (QSP) models: Design and estimation",

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.",

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author = "B. Ribba and Grimm, {H. P.} and B. Agoram and Davies, {M. R.} and K. Gadkar and S. Niederer and {Van Riel}, N. and J. Timmis and {Van Der Graaf}, {P. H.}",

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T2 - Design and estimation

AU - Ribba, B.

AU - Grimm, H. P.

AU - Agoram, B.

AU - Davies, M. R.

AU - Gadkar, K.

AU - Niederer, S.

AU - Van Riel, N.

AU - Timmis, J.

AU - Van Der Graaf, P. H.

PY - 2017/8

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AB - 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.

KW - Congresses as Topic

KW - Drug Design

KW - Drug Discovery/methods

KW - Humans

KW - Systems Biology/methods

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M3 - Review Article

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JO - CPT: Pharmacometrics and Systems Pharmacology

JF - CPT: Pharmacometrics and Systems Pharmacology

IS - 8

ER -

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

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