What problem does it solve?
Determining whether a two-drug combination is synergistic, additive, or antagonistic requires choosing the right null model of additivity and applying it correctly to measured single-agent and combination effects, which is error-prone when done by hand.
Core Features & Use Cases
- Model selection by data type: Maps your measured data (single dose pair, multiple dose points, dose-response curves, or full dose matrix) to the appropriate model — Bliss, HSA, Loewe, Combination Index, or ZIP.
- Synergy scoring via ToolUniverse tools: Runs DrugSynergy_calculate_bliss, _hsa, _loewe, _ci, and _zip tools and interprets scores (observed minus expected; CI < 1 means synergy).
- Side-by-side reference check: The bundled script computes Bliss, HSA, and simple-additive expectations from one dose pair so you can see whether models agree before running full analyses.
- Use Case: You measured 40% inhibition for drug A, 30% for drug B, and 70% for the combination; the skill computes the Bliss expectation (0.58) and reports a synergy score of 0.12, indicating strong synergy.
Quick Start
Ask the agent to calculate the Bliss synergy score for drug A with 0.4 inhibition, drug B with 0.3 inhibition, and a combination effect of 0.7.