Open AccessPreclinical QSP Modeling in the Pharmaceutical Industry: An IQ Consortium Survey Examining the Current Landscape
Author(s) -
Nijsen Marjoleen J.M.A.,
Wu Fan,
Bansal Loveleena,
BradshawPierce Erica,
Chan Jason R.,
Liederer Bianca M.,
Mettetal Jerome T.,
Schroeder Patricia,
Schuck Edgar,
Tsai Alice,
Xu Christine,
Chimalakonda Anjaneya,
Le Kha,
Penney Mark,
Topp Brian,
Yamada Akihiro,
Spilker Mary E.
Publication year - 2018
Publication title -
cpt: pharmacometrics and systems pharmacology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.53
H-Index - 37
ISSN - 2163-8306
DOI - 10.1002/psp4.12282
Subject(s) - terminology , systems pharmacology , computer science , medicine , pharmacology , philosophy , linguistics , drug
A cross‐industry survey was conducted to assess the landscape of preclinical quantitative systems pharmacology (QSP) modeling within pharmaceutical companies. This article presents the survey results, which provide insights on the current state of preclinical QSP modeling in addition to future opportunities. Our results call attention to the need for an aligned definition and consistent terminology around QSP, yet highlight the broad applicability and benefits preclinical QSP modeling is currently delivering.