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

single-drug-adverse-effect-pathway-anchored-network-pharmacology is a Bioinformatics & life sciences skill for AI agents, published by aipoch in the medical-research-skills repository on GitHub. Skillspace rates single-drug-adverse-effect-pathway-anchored-network-pharmacology C (71/100) and it passed the safety scan; the rating is based on static analysis only.

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…

Grade

C

Quality

71 / 100

Safety

Passed

GitHub stars

1,449

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