A testing strategy to predict risk for drug-induced liver injury in humans using high-content screen assays and the ‘rule-of-two’ model

@article{Chen2014ATS,
  title={A testing strategy to predict risk for drug-induced liver injury in humans using high-content screen assays and the ‘rule-of-two’ model},
  author={Minjun Chen and Chun-Wei Tung and Qiang Shi and Lei Guo and Leming Shi and Hong Fang and J{\"u}rgen Borlak and Weida Tong},
  journal={Archives of Toxicology},
  year={2014},
  volume={88},
  pages={1439-1449}
}
Drug-induced liver injury (DILI) is a major cause of drug failures in both the preclinical and clinical phase. Consequently, improving prediction of DILI at an early stage of drug discovery will reduce the potential failures in the subsequent drug development program. In this regard, high-content screening (HCS) assays are considered as a promising strategy for the study of DILI; however, the predictive performance of HCS assays is frequently insufficient. In the present study, a new testing… CONTINUE READING
BETA

Citations

Publications citing this paper.
SHOWING 1-10 OF 18 CITATIONS

References

Publications referenced by this paper.
SHOWING 1-10 OF 41 REFERENCES

Similar Papers

Loading similar papers…