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Drug Combination Synergy

Free

Analyze drug interactions for synergy or antagonism.

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Free · Opens the source repo

What Drug Combination Synergy does

The Drug Combination Synergy skill provides a framework for analyzing the interactions between two drugs to determine if they produce a synergistic effect, act additively, or are antagonistic. This skill is particularly useful for researchers and developers in pharmacology and drug development who need to evaluate the efficacy of drug combinations based on experimental data. By using established reference models like Bliss independence, HSA, Loewe additivity, ZIP, and Chou-Talalay Combination Index, users can quantify the interactions and make informed decisions on drug pairing strategies.

To utilize this skill, users must first select the appropriate model based on the data they have collected. The skill guides users through this selection process, ensuring that the correct model aligns with the type of data available, whether it be single-dose effects or comprehensive dose-response curves. Once the model is chosen, users can run analyses using simple command-line operations to obtain synergy scores that indicate the nature of the drug interaction. The skill also includes a reference script that computes expected effects for different models, allowing for quick comparisons and insights into the data.

Interpreting the results is crucial, as the synergy score not only reflects the interaction but also requires careful consideration of the experimental setup and data quality. Users are informed of common pitfalls, such as scale mismatches and the need for multiple dose points for certain models, which can impact the validity of the results. This skill is designed for those who are familiar with pharmacological concepts and are looking to deepen their understanding of drug interactions through quantitative analysis.

When to use it

Use this skill when you have empirical data on drug effects and need to analyze their interactions using established models.

When not to use it

This skill is not suitable for looking up pre-computed synergy scores; it requires raw data from experiments instead.

What you can build with it

Analyzing Drug Combinations in Research

Researchers can use this skill to analyze the effects of various drug combinations in vitro, determining optimal pairings for further study.

Evaluating Treatment Strategies

Pharmacologists can evaluate different drug combinations to identify potential synergistic effects that could enhance treatment efficacy.

Educational Purposes in Pharmacology Courses

Instructors can use this skill to teach students about drug interactions and the importance of quantitative analysis in pharmacology.

How to install Drug Combination Synergy

View source

1. Install with the skills CLI

npx skills add mims-harvard/tooluniverse/tooluniverse-drug-synergy --agent claude-code

2. Or install it manually

Download the skill folder and drop it into ~/.claude/skills/ for all projects, or .claude/skills/ to scope it to one repo. Restart Claude Code so it picks up the new skill.

Anthropic's agentic coding CLI, and the reference implementation of Agent Skills. Drop a skill folder into ~/.claude/skills and Claude Code loads it automatically whenever a task matches the skill's description. Claude Code docs

Inside SKILL.md

Written by mims-harvard

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 modelToolInput
Single effects of A, B, and A+B at one dose pairBlissDrugSynergy_calculate_blisseffect_a, effect_b, effect_combination (each a fraction 0–1)
Effects of A, B, A+B across several dose pointsHSADrugSynergy_calculate_hsaeffects_a, effects_b, effects_combo (arrays)
Single-agent dose-response curves + one combination pointLoeweDrugSynergy_calculate_loewedoses_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 CICombination IndexDrugSynergy_calculate_cisame as Loewe + assumption
A full dose × dose viability matrixZIPDrugSynergy_calculate_zipdoses_a, doses_b, viability_matrix (% , 0–100)

Effects must be on a consistent inhibition scale. Bliss/HSA/Loewe expect fractional inhibition 0–1 (0 = no effect, 1 = complete kill). If your data is % viability, convert: inhibition = 1 − viability/100. ZIP takes the viability matrix in % directly. Mixing scales is the most common error.

Step 1 — What each model's "additivity" means

ModelNull (additive) expectationBest when
Bliss independencedrugs act independently: E_exp = E_a + E_b − E_a·E_bdifferent mechanisms; quick single-point screen
HSA (highest single agent)combo should beat the better single agent: E_exp = max(E_a, E_b)conservative "does it beat monotherapy?" question
Loewe additivitya drug combined with itself = additive (dose equivalence)same/similar mechanism; needs dose-response
ZIPcombines Bliss + Loewe; potency shift of one drug's curve by the otherdose-matrix screens (the SynergyFinder default)
Chou-Talalay CICI<1 synergy, =1 additive, >1 antagonism (median-effect)classic isobologram-style analysis with dose-response

There is no single "correct" model — state which one you used. Bliss and Loewe genuinely disagree for some combinations (that's expected, not an error); reporting two models (e.g. Bliss + HSA, or Loewe + ZIP) is good practice.

Step 2 — Run it

# Bliss (single dose pair, fractional inhibition)
tu run DrugSynergy_calculate_bliss '{"operation":"calculate_bliss",
  "effect_a":0.4,"effect_b":0.3,"effect_combination":0.7}'
# -> expected 0.58, bliss_synergy_score 0.12, "Strong synergy"

scripts/synergy_reference.py computes the Bliss, HSA, and Loewe-style expected combination effects side-by-side from one dose pair, so you can see at a glance whether the models agree before running the full tools.

Step 3 — Interpret the score

For Bliss/HSA/Loewe/ZIP, the synergy score is (observed − expected) (often ×100):

Score (fractional, ×100 scale)Call
> +10synergy
−10 to +10additive (no meaningful interaction)
< −10antagonism

For Combination Index (Chou-Talalay): CI < 1 = synergy, CI = 1 additive, CI > 1 antagonism (note the opposite direction — lower is more synergistic).

  • A positive Bliss/HSA score means the combination exceeds the additive expectation at that point.
  • Synergy is often dose-dependent — a combination can be synergistic at one ratio and antagonistic at another; for a matrix, report the synergistic region, not one number.

Step 4 — Gotchas (state these)

  • Scale mismatch (% viability vs fractional inhibition) — convert first (Step 0).
  • Effects near 0 or 1 (ceiling). If both single agents already kill ~everything, the combo can't show synergy (no headroom) — Bliss/HSA saturate; interpret with care.
  • ZIP/Loewe/CI need real dose-response with ≥3 non-zero, measurable-effect dose points per drug, or the Hill fit fails (the tools say so).
  • Model disagreement is normal — don't shop for the model that gives "synergy"; pre-specify the model and report it.
  • A synergy score is not efficacy — a strongly synergistic combination can still be weak overall; report the absolute combination effect too.

Honest limitations

  • These are reference-model synergy scores, not statistical tests — for confidence, replicate and report variability across the dose matrix.
  • Synergy in vitro does not guarantee clinical benefit (PK/PD, toxicity, scheduling all matter).

Related skills

  • tooluniverse-dose-response — fit the single-agent IC50/EC50 curves that Loewe/CI/ZIP need.
  • tooluniverse-cell-line-profiling — look up pre-computed combination synergy (SYNERGxDB).
  • tooluniverse-drug-repurposing / tooluniverse-network-pharmacology — rationale for combinations.

Frequently asked questions about Drug Combination Synergy

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