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SynergyFinder: a web application for analyzing drug combination dose–response matrix data

Summary: 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 pre-clinical significance of pairwise drug combinations, functional screening assays that probe combination effects...

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Detalles Bibliográficos
Autores principales: Ianevski, Aleksandr, He, Liye, Aittokallio, Tero, Tang, Jing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5554616/
https://www.ncbi.nlm.nih.gov/pubmed/28379339
http://dx.doi.org/10.1093/bioinformatics/btx162
Descripción
Sumario:Summary: 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 pre-clinical 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. Availability and Implementation: The SynergyFinder web application is freely accessible at https://synergyfinder.fimm.fi; The R-package and its source-code are freely available at http://bioconductor.org/packages/release/bioc/html/synergyfinder.html.