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

TY - JOUR

T1 - Methodologies for quantitative systems pharmacology (QSP) models

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.

N1 - © 2017 The Authors

PY - 2017/8/1

Y1 - 2017/8/1

N2 - 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.

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.

UR - http://www.scopus.com/inward/record.url?scp=85023166594&partnerID=8YFLogxK

U2 - 10.1002/psp4.12206

DO - 10.1002/psp4.12206

M3 - Review article

C2 - 28585415

AN - SCOPUS:85023166594

SN - 2163-8306

VL - 6

SP - 496

EP - 498

JO - CPT Pharmacometrics & Systems Pharmacology

JF - CPT Pharmacometrics & Systems Pharmacology

IS - 8

ER -