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Translational pharmacokinetic-pharmacodynamic analysis in the pharmaceutical industry: an IQ Consortium PK-PD Discussion Group perspective

Authors :
Bianca M. Liederer
Edgar Schuck
Daniel R. Mudra
Jing Lin
Patricia Schroeder
Fan Wu
Harvey Wong
Cheng-Pang Hsu
Anu Shilpa Krishnatry
Haiqing Wang
Jerome T. Mettetal
Tonika Bohnert
Christopher R. Gibson
Alice Tsai
Marjoleen J.M.A Nijsen
Qiang Lu
Valeriu Damian-Iordache
Satyendra Suryawanshi
Patrick Trapa
Source :
Drug discovery today. 22(10)
Publication Year :
2017

Abstract

With inadequate efficacy being the primary cause for the attrition of drug candidates in clinical development, the need to better predict clinical efficacy earlier in the drug development process has increased in importance in the pharmaceutical industry. Here, we review current applications of translational pharmacokinetic-pharmacodynamic (PK-PD) modeling of preclinical data in the pharmaceutical industry, including best practices. Preclinical translational PK-PD modeling has been used in many therapeutic areas and has been impactful to drug development. The role of preclinical translational PK-PD modeling in drug discovery and development will continue to evolve and broaden, given that its broad implementation in the pharmaceutical industry is relatively recent and many opportunities still exist for its further application.

Details

ISSN :
18785832
Volume :
22
Issue :
10
Database :
OpenAIRE
Journal :
Drug discovery today
Accession number :
edsair.doi.dedup.....b75af1e43e6e3a51f39468fbc00dc204