SynergyFinder: a web application for analyzing drug combination dose–response matrix data
By Aleksandr Ianevski, Liye He, Tero Aittokallio, Jing Tang. Bioinform., 2017
507 citations recorded by the source corpus.
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. Contact: jing.tang@helsinki.fi
Subfields: Computational Theory and Mathematics, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/aebde5d24c711a7be707f9514ab81e427972ff50
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In Computational Theory and Mathematics
- Aleksandr Ianevski
- Anil K. Giri
- Tero Aittokallio
- Jing Tang
- Tolou Shadbahr
- Alberto Pessia
- Wenyu Wang
- Alina Malyutina
Citations in the corpus
- SynergyFinder Plus: Toward Better Interpretation and Annotation of Drug Combination Screening Datasets (2022, methodology): “The synergy models that have been developed in the SynergyFinder R package have the same scale as the drug combination sensitivity method that was developed earlier, thus allowing a direct comparison in an SS plot.”
- SynergyFinder 2.0: visual analytics of multi-drug combination synergies (2020, methodology): “Details of the original SynergyFinder implementation and its features for synergy assessment between two drugs have been described previously (13).”
- Remdesivir, lopinavir, emetine, and homoharringtonine inhibit SARS-CoV-2 replication in vitro (2020, methodology): “(B) The three-dimensional interaction landscapes of remdesivir and emetine were generated by SynergyFinder (Ianevski et al., 2017) based on (B) the Loewe additive”