SynergyFinder 3.0: an interactive analysis and consensus interpretation of multi-drug synergies across multiple samples. Issue Volume 50:Issue W1(2022) (17th May 2022)

• Record Type: Journal Article
• Authors: Ianevski, Aleksandr; Giri, Anil K; Aittokallio, Tero
• Is Part Of: Nucleic acids research. Volume 50:Issue W1(2022)
• Page Start: W739
• Page End: W743
• Publication Date: 2022-05-17
• Subjects: Nucleic acids -- Periodicals; Molecular biology -- Periodicals; 572.805
• DOI: 10.1093/nar/gkac382
• Languages: English
• ISSNs: 0305-1048

Abstract

Abstract: SynergyFinder (https://synergyfinder.fimm.fi ) is a free web-application for interactive analysis and visualization of multi-drug combination response data. Since its first release in 2017, SynergyFinder has become a popular tool for multi-dose combination data analytics, partly because the development of its functionality and graphical interface has been driven by a diverse user community, including both chemical biologists and computational scientists. Here, we describe the latest upgrade of this community-effort, SynergyFinder release 3.0, introducing a number of novel features that support interactive multi-sample analysis of combination synergy, a novel consensus synergy score that combines multiple synergy scoring models, and an improved outlier detection functionality that eliminates false positive results, along with many other post-analysis options such as weighting of synergy by drug concentrations and distinguishing between different modes of synergy (potency and efficacy). Based on user requests, several additional improvements were also implemented, including new data visualizations and export options for multi-drug combinations. With these improvements, SynergyFinder 3.0 supports robust identification of consistent combinatorial synergies for multi-drug combinatorial discovery and clinical translation. Graphical Abstract: