synergy

synergy computes drug combination synergy and antagonism as a Python library implementing multiple established synergy models to quantify interactions among pharmacological agents.

Key Features:

• Implementation of synergy models: Implements a broad array of popular synergy models to provide multiple frameworks for quantifying drug–drug interactions.
• Statistical tools: Provides evaluation of confidence intervals and power analyses to assess the reliability and significance of synergy measurements.
• Standardized analysis and visualization: Offers standardized methodologies for analyzing and visualizing synergistic and antagonistic interactions across drug combinations.

Scientific Applications:

• Pharmacological research: Supports quantification of combination effects to identify interactions among pharmacological agents.
• Identification of synergistic combinations: Enables detection of combinations that produce effects greater than single-agent treatments via multiple synergy models.
• Experimental design and hypothesis generation: Uses visualization and statistical evaluation to inform hypothesis generation and experimental planning.

Methodology:

Integrates a broad spectrum of computational synergy models and statistical techniques, including confidence interval evaluation and power analysis, to analyze drug combination data.