SynergyFinder 3.0: an interactive analysis and consensus interpretation of multi-drug synergies across multiple samples

SynergyFinder (https://synergyfinder.fimm.fi) is a free web-application for interactive analysis and visualization of multi-drug combination response data. Based on user requests, several additional improvements were also implemented, including new data visualizations and export options for multi-drug combinations.

⚡ This is an original paraphrased summary — not copied from the abstract. Full paper available at the source link below.

• 1 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.
• 2 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).
• 3 Based on user requests, several additional improvements were also implemented, including new data visualizations and export options for multi-drug combinations.

This research advances how AI systems learn, reason, and solve problems — with direct implications for automation and scientific discovery.

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