SynergyFinder plus (SynergyFinder+)
SynergyFinder plus (SynergyFinder+) analyzes drug combination dose–response data to quantify and visualize synergistic and antagonistic interactions for rational design of combination therapies.
Key Features:
- Multiple Synergy Scoring Models: Implements HSA (Highest Single Agent), Loewe, Bliss, and ZIP models to evaluate interactions between drug pairs across dose–response matrices.
- Dose–Response Matrix Analysis: Performs systematic evaluation of drug pairs across concentration matrices to compute synergy scores and interaction patterns.
- Synergy Landscape Visualization: Provides two-dimensional and three-dimensional visualization of synergy scores over dose matrices to represent spatial patterns of interaction.
- Integration with Automated Screening: Integrates automated screening techniques with synergy scoring to support analysis of high-throughput combination experiments.
Scientific Applications:
- Cancer combination therapy development: Identifies and prioritizes drug combinations that selectively inhibit cancer cell viability and growth while addressing resistance mechanisms.
- High-throughput drug combination screening: Supports analysis of large-scale combination screens to detect synergistic interactions across concentration ranges.
- Study of drug sensitivity and resistance: Characterizes variability in treatment responses and resistance mechanisms using synergy scoring models.
Methodology:
An experimental–computational pipeline integrates automated screening techniques with HSA, Loewe, Bliss and ZIP synergy scoring algorithms to detect synergistic drug interactions within specific concentration windows.
Topics
Collections
Details
- License:
- Artistic-2.0
- Tool Type:
- web application
- Operating Systems:
- Linux, Windows, Mac
- Programming Languages:
- R
- Added:
- 1/17/2017
- Last Updated:
- 11/24/2024
Operations
Data Inputs & Outputs
Statistical calculation
Outputs
Publications
Ianevski A, He L, Aittokallio T, Tang J. SynergyFinder: a web application for analyzing drug combination dose–response matrix data. Bioinformatics. 2017;33(15):2413-2415. doi:10.1093/bioinformatics/btx162. PMID:28379339. PMCID:PMC5554616.
He L, Kulesskiy E, Saarela J, Turunen L, Wennerberg K, Aittokallio T, Tang J. Methods for High-throughput Drug Combination Screening and Synergy Scoring. Methods in Molecular Biology. 2018. doi:10.1007/978-1-4939-7493-1_17. PMID:29344898. PMCID:PMC6383747.