Drexplorer: A tool to explore dose-response relationships and drug-drug interactions

Pan Tong, Kevin R. Coombes, Faye M. Johnson, Lauren A. Byers, Lixia Diao, Diane D. Liu, J. Jack Lee, John V. Heymach, Jing Wang

Research output: Contribution to journalArticlepeer-review

12 Scopus citations


Motivation: Nonlinear dose-response models are primary tools for estimating the potency [e.g. half-maximum inhibitory concentration (IC) known as IC50] of anti-cancer drugs. We present drexplorer software, which enables biologists to evaluate replicate reproducibility, detect outlier data points, fit different models, select the best model, estimate IC values at different percentiles and assess drug-drug interactions. drexplorer serves as a computation engine within the R environment and a graphical interface for users who do not have programming backgrounds.

Original languageEnglish (US)
Pages (from-to)1692-1694
Number of pages3
Issue number10
StatePublished - May 15 2015
Externally publishedYes

ASJC Scopus subject areas

  • Statistics and Probability
  • Biochemistry
  • Molecular Biology
  • Computer Science Applications
  • Computational Theory and Mathematics
  • Computational Mathematics


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