A1 Refereed original research article in a scientific journal
SynergyFinder: a web application for analyzing drug combination dose-response matrix data
Authors: Ianevski A, He L, Aittokallio T, Tang J
Publisher: OXFORD UNIV PRESS
Publication year: 2017
Journal: Bioinformatics
Journal name in source: BIOINFORMATICS
Journal acronym: BIOINFORMATICS
Volume: 33
Issue: 15
First page : 2413
Last page: 2415
Number of pages: 3
ISSN: 1367-4803
eISSN: 1460-2059
DOI: https://doi.org/10.1093/bioinformatics/btx162
Abstract
Rational design of drug combinations has become a promising strategy to tackle the drug sensitivity and resistance problem in cancer treatment. To systematically evaluate the preclinical significance of pairwise drug combinations, functional screening assays that probe combination effects in a dose-response matrix assay are commonly used. To facilitate the analysis of such drug combination experiments, we implemented a web application that uses key functions of R-package SynergyFinder, and provides not only the flexibility of using multiple synergy scoring models, but also a user-friendly interface for visualizing the drug combination landscapes in an interactive manner.
Rational design of drug combinations has become a promising strategy to tackle the drug sensitivity and resistance problem in cancer treatment. To systematically evaluate the preclinical significance of pairwise drug combinations, functional screening assays that probe combination effects in a dose-response matrix assay are commonly used. To facilitate the analysis of such drug combination experiments, we implemented a web application that uses key functions of R-package SynergyFinder, and provides not only the flexibility of using multiple synergy scoring models, but also a user-friendly interface for visualizing the drug combination landscapes in an interactive manner.
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