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tooluniverse-drug-synergy

Drug-combination synergy analysis — quantify whether two drugs together are synergistic, additive, or antagonistic using the standard reference models (Bliss independence, HSA / highest single agent, Loewe additivity, ZIP, and the Chou-Talalay Combination Index). Use when you have measured single-drug and combination effects (inhibition/viability) and need a synergy score. Explains which model to use, what data each one needs, and how to read the score. NOT for looking up pre-computed synergy in a database (use the SYNERGxDB tool / cell-line-profiling skill).

plugins/tooluniverse/skills/tooluniverse-drug-synergy/SKILL.md

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# Drug-Combination Synergy Analysis

Decide whether a two-drug combination does **more than expected** (synergy), exactly as expected (additivity), or **less** (antagonism) — and pick the right reference model for the data you have.

"Synergy" only means something relative to a **null model of additivity**, and the models define additivity differently — so the first decision is *which model*, driven by *what data you measured*.

## Step 0 — Pick the model by the data you have

| You measured… | Use model | Tool | Input |
|---|---|---|---|
| Single effects of A, B, and A+B at **one** dose pair | **Bliss** | `DrugSynergy_calculate_bliss` | `effect_a`, `effect_b`, `effect_combination` (each a fraction 0–1) |
| Effects of A, B, A+B across **several** dose points | **HSA** | `DrugSynergy_calculate_hsa` | `effects_a`, `effects_b`, `effects_combo` (arrays) |
| Single-agent **dose-response curves** + one combination point | **Loewe** | `DrugSynergy_calculate_loewe` | `doses_a_single`/`effects_a_single`, `doses_b_single`/`effects_b_single`, `dose_a_combo`, `dose_b_combo`, `effect_combo` |
| Single-agent dose-response + combo point, want Chou-Talalay CI | **Combination Index** | `DrugSynergy_calculate_ci` | same as Loewe + `assumption` |