SynergyFinder

SynergyFinder analyzes drug combination dose–response data to quantify and visualize synergistic and antagonistic interactions for discovery of synergistic drug combinations in pre-clinical models and precision medicine.

Key Features:

• Dose–response matrix visualization: Tools to explore and visualize complex synergy patterns in drug combination dose–response matrices.
• Higher-order combination analytics: Support for analysis of multi-drug and higher-order combinations as implemented in SynergyFinder 2.0.
• Automated outlier detection: Procedures to identify outliers in screening data to improve result reliability.
• Extended curve-fitting functionality: Enhanced curve-fitting for precise modeling of dose–response relationships.
• Statistical analysis of replicates: Statistical evaluation of replicate measurements to assess consistency and reproducibility.

Scientific Applications:

• Discovery of synergistic combinations: Identification of novel synergistic drug combinations using pre-clinical models such as cell lines and primary patient-derived cells.
• Mechanistic investigation: Analysis to support understanding of mechanisms underlying combination treatment efficacy and resistance.
• Multi-drug combinatorial screening: Application in multi-drug screening studies relevant to precision medicine research.

Methodology:

Computational methods explicitly include analysis of drug combination dose–response matrices, automated outlier detection, curve-fitting of dose–response relationships, statistical analysis of replicate measurements, and visualization techniques.