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Bioinformatics
Article . 2015 . Peer-reviewed
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Bioinformatics
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Bioinformatics
Article . 2015
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drexplorer: A tool to explore dose–response relationships and drug–drug interactions

Authors: Pan, Tong; Kevin R, Coombes; Faye M, Johnson; Lauren A, Byers; Lixia, Diao; Diane D, Liu; J Jack, Lee; +2 Authors

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

Abstract

AbstractMotivation: 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.Availability and implementation: The drexplorer R package is freely available from GitHub at https://github.com/nickytong/drexplorer. A graphical user interface is shipped with the package.Contact: jingwang@mdanderson.orgSupplementary information: Supplementary data are available at Bioinformatics online.

Keywords

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

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    influence
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    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
25
Top 10%
Top 10%
Top 10%
gold