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

2022Nucleic Acids Research引用 707顶会
Computational Drug Discovery MethodsBioinformatics and Genomic NetworksInnovative Microfluidic and Catalytic Techniques Innovation

详细信息

发表期刊/会议
Nucleic Acids Research
发表日期
2022-04-29
发表年份
2022

关键词

Computational Drug Discovery MethodsBioinformatics and Genomic NetworksInnovative Microfluidic and Catalytic Techniques Innovation

摘要

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.