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

doi:10.1093/bioinformatics/btv028

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

Bioinformatics. 2015 May 15;31(10):1692-4. doi: 10.1093/bioinformatics/btv028. Epub 2015 Jan 18.

Authors

Pan Tong¹, Kevin R Coombes¹, Faye M Johnson¹, Lauren A Byers¹, Lixia Diao¹, Diane D Liu¹, J Jack Lee¹, John V Heymach¹, Jing Wang¹

Affiliation

¹ Departments of Bioinformatics and Computational Biology, Houston, TX 77030, Department of Biomedical Informatics, The Ohio State University, Columbus, OH 43210, Thoracic and Head and Neck Medical Oncology and Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.

Abstract

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.

Publication types

Research Support, N.I.H., Extramural
Research Support, Non-U.S. Gov't

MeSH terms

Algorithms
Antineoplastic Agents / pharmacology*
Dose-Response Relationship, Drug
Drug Interactions
Drug Screening Assays, Antitumor / methods*
Inhibitory Concentration 50
Nonlinear Dynamics
Reproducibility of Results
Software*

Substances

Antineoplastic Agents

Abstract

Publication types

MeSH terms

Substances

Grants and funding