
Single Drug Adverse Effect Hub First Network Pharmacology
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.
将提示词发送给你的 AI 安装该 skills
请根据 https://skillhub.cn/install/skillhub.md,安装 @user_c7479c7a/single-drug-adverse-effect-hub-first-network-pharmacology。
将提示词发送给你的 AI 安装该 skills
请根据 https://skillhub.cn/install/skillhub.md,安装 @user_c7479c7a/single-drug-adverse-effect-hub-first-network-pharmacology。














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