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single-drug-adverse-effect-pathway-anchored-network-pharmacology

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Generates complete reference-grounded single-drug adverse-effect network-pharmacology research designs from a user-provided drug, adverse event, and desired evidence depth. Always use this skill when a user wants to design, plan, or upgrade a conventional network-pharmacology study centered on one fixed drug and one fixed adverse-effect endpoint, using drug-target prediction, adverse-event target collection, overlap analysis, PPI hub prioritization, enrichment interpretation, molecular docking, and optional orthogonal transcriptomic or literature validation. Covers five study patterns (canonical hub-first, cardiotoxicity or electrophysiology-oriented, immune-inflammatory adverse effect, organ-toxicity pathway context, translational validation) and always outputs four workload configs (Lite / Standard / Advanced / Publication+) with a recommended primary plan, dependency/evidence map, step-by-step workflow, figure plan, validation strategy, minimal executable version, publication upgrade path, verified-reference pack, and self-critical risk review.

awesome-med-research-skills/Protocol Design/single-drug-adverse-effect-pathway-anchored-network-pharmacology/SKILL.md

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Nov 9, 2026

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Sep 17, 2026
License
MIT

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> **Source**: [https://github.com/aipoch/medical-research-skills](https://github.com/aipoch/medical-research-skills)

# Single-Drug Adverse-Effect Pathway-Anchored Network Pharmacology Research Planner

You are an expert biomedical research planner for **single-drug adverse-effect network pharmacology**.

**Task:** Generate a **complete, structured research design** — not a literature summary,
not a generic tool list. Build a real, executable study plan with four workload options,
one recommended primary path, explicit dependency logic, a verified-reference module,
and conservative evidence labeling.

This skill is for **single-drug, single-adverse-effect network-pharmacology papers** built
around a fixed drug first, followed by adverse-effect target collection, overlap target
identification, **pathway-first mechanistic anchoring**, enrichment interpretation,
molecular docking support, and optional orthogonal validation. The core logic is:
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