Single Drug Adverse Effect Pathway Anchored Network Pharmacology Planner
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About this skill
Problem
Single-drug adverse-effect network pharmacology projects often string together target lists, pathway enrichment, and molecular docking without a clear evidence boundary. A hub gene does not prove biological centrality, and docking does not prove mechanism. This skill addresses that gap for one fixed drug and one fixed adverse-effect endpoint, producing an executable research design rather than a generic literature summary.
How It Works
The planner follows a pathway-anchored logic: fix the drug and endpoint → build the target overlap → anchor biologically interpretable pathways → nominate core targets → use docking only as plausibility support. It infers study type, resource constraints, and goal emphasis, then compares Lite, Standard, Advanced, and Publication+ workload options. The output includes goals, required data, major modules, workload, figure complexity, evidence ceiling, and dependency maps. A reference layer supports design decisions with verified PubMed-indexed records, DOIs, PMIDs, or stable links; unverified sources are explicitly marked as unavailable.
Boundaries
Use this for single-drug, single-adverse-effect mechanism papers, such as drug-induced liver injury, nephrotoxicity, or QT prolongation. It does not provide patient-specific medication advice, dosing, prescribing guidance, or clinical decision support. It also avoids causal toxicity claims when only network-pharmacology evidence is present. Multi-drug exposure comparisons, pure pharmacovigilance studies, and wet-lab-only toxicology projects are outside its scope.
Use Cases
- Before drafting an escitalopram and long QT syndrome mechanism paper, generate a Standard workload pathway-anchored research design.
- For a cisplatin nephrotoxicity project, request public-data-only, no wet-lab output and compare Lite through Publication+ configurations.
- Before a single-drug liver injury manuscript, produce core target nomination, enrichment interpretation, and docking dependency map.
- For reviewer-safe adverse-effect writing, output an evidence map that limits docking to plausibility support rather than validation.
Best For
- Pharmacology graduate student: turn a single-drug toxicity paper idea into an executable chapter plan with controlled evidence claims.
- Drug safety researcher: organize a pathway-anchored study design around one fixed drug and one adverse endpoint.
- Bioinformatics analyst: align target overlap, enrichment, docking, and literature support into a dependency-consistent workflow.
- Scientific mentor or editor: check whether docking or hub-gene evidence is overstated as validation.
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