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Updated: Sep 18, 2025

Drug Repurposing Hypothesis Generation Using the "RE:fine Drugs" System
Published on: December 11, 2016
Translational PK/PD: a retrospective analysis of performance and impact from a drug portfolio
Rasmus Jansson-Löfmark1, Markus Fridén2, Lassina Badolo3
1Research and Early Development Cardiovascular, Renal and Metabolic, BioPharmaceuticals R&D, AstraZeneca, Gothenburg, Sweden.
Abstract:
Attrition in drug development continues to be dominated by failure in clinical mid-stage proof-of-concept studies. Successfully demonstrating proof-of-mechanism (PoM) has been reported to be a key factor to improve clinical success. Accurate prediction and testing of PoM are crucial. This analysis of AstraZeneca's portfolio assesses the role of translational PK/PD modelling in predicting clinical PoM. It has found that 83% of compounds had drug exposure-response within a threefold prediction accuracy. Notably, projects with robust PK/PD packages achieved an 85% success rate in PoM, compared with 33% for those with basic packages. This highlights how translational PK/PD modelling can significantly enhance success rates for drugs entering clinical trials.
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