Quantitative systems pharmacology (QSP) has emerged as an innovative approach in model-informed drug discovery and development, supporting program decisions from exploratory research through late-stage clinical trials. In this commentary, we discuss the unique value of disease-scale "platform" QSP models that are amenable to reuse and repurposing to support diverse clinical decisions in ways distinct from other pharmacometrics strategies. \copyright 2016 The Authors Clinical Pharmacology & Therapeutics published by Wiley Periodicals, Inc. on behalf of The American Society for Clinical Pharmacology and Therapeutics.
%0 Journal Article
%1 Musante2017Quantitative
%A Musante, C. J.
%A Ramanujan, S.
%A Schmidt, B. J.
%A Ghobrial, O. G.
%A Lu, J.
%A Heatherington, A. C.
%D 2017
%J Clinical pharmacology and therapeutics
%K qsp
%N 1
%P 24--27
%T Quantitative Systems Pharmacology: A Case for Disease Models.
%U http://view.ncbi.nlm.nih.gov/pubmed/27709613
%V 101
%X Quantitative systems pharmacology (QSP) has emerged as an innovative approach in model-informed drug discovery and development, supporting program decisions from exploratory research through late-stage clinical trials. In this commentary, we discuss the unique value of disease-scale "platform" QSP models that are amenable to reuse and repurposing to support diverse clinical decisions in ways distinct from other pharmacometrics strategies. \copyright 2016 The Authors Clinical Pharmacology & Therapeutics published by Wiley Periodicals, Inc. on behalf of The American Society for Clinical Pharmacology and Therapeutics.
@article{Musante2017Quantitative,
abstract = {Quantitative systems pharmacology ({QSP}) has emerged as an innovative approach in model-informed drug discovery and development, supporting program decisions from exploratory research through late-stage clinical trials. In this commentary, we discuss the unique value of disease-scale "platform" {QSP} models that are amenable to reuse and repurposing to support diverse clinical decisions in ways distinct from other pharmacometrics strategies. {\copyright} 2016 The Authors Clinical Pharmacology \& Therapeutics published by Wiley Periodicals, Inc. on behalf of The American Society for Clinical Pharmacology and Therapeutics.},
added-at = {2018-12-02T16:09:07.000+0100},
author = {Musante, C. J. and Ramanujan, S. and Schmidt, B. J. and Ghobrial, O. G. and Lu, J. and Heatherington, A. C.},
biburl = {https://www.bibsonomy.org/bibtex/2536ff45c18d4effdf02cdd89de794481/karthikraman},
citeulike-article-id = {14381066},
citeulike-linkout-0 = {http://view.ncbi.nlm.nih.gov/pubmed/27709613},
citeulike-linkout-1 = {http://www.hubmed.org/display.cgi?uids=27709613},
interhash = {32ee35147e50c7f4f8c48d388a2af374},
intrahash = {536ff45c18d4effdf02cdd89de794481},
issn = {1532-6535},
journal = {Clinical pharmacology and therapeutics},
keywords = {qsp},
month = jan,
number = 1,
pages = {24--27},
pmid = {27709613},
posted-at = {2017-06-22 15:37:48},
priority = {2},
timestamp = {2018-12-02T16:09:07.000+0100},
title = {Quantitative Systems Pharmacology: A Case for Disease Models.},
url = {http://view.ncbi.nlm.nih.gov/pubmed/27709613},
volume = 101,
year = 2017
}