Applying systems biology and computer simulations to predicting idiosyncratic DILI

19 August 2010  •  Author(s): David Cook, Associate Director, Global Safety Assessment, AstraZeneca

Idiosyncratic drug-induced liver injury (DILI) is a rare adverse drug reaction which accounts for a significant amount of patient suffering, including death. Currently, idiosyncratic DILI is unpredictable and as a result arises late in the drug development process or even post-marketing. The prediction of idiosyncratic DILI based on preclinical or early clinical data is a formidable challenge and this short review will discuss why and how new initiatives in systems biology and dynamic computational simulations can meet this challenge and predict the ‘unpredictable’.

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