Construct and analyze compound-target-disease (C-T-D) networks to identify drug repurposing opportunities, understand polypharmacology, and predict drug mechanisms using systems pharmacology approaches.
IMPORTANT: Always use English terms in tool calls (drug names, disease names, target names), even if the user writes in another language. Only try original-language terms as a fallback if English returns no results. Respond in the user's language.
| entity | Yes | Compound name/ID, target gene symbol/ID, or disease name/ID | metformin, EGFR, Alzheimer disease | | entitytype | No | Type hint: compound, target, or disease (auto-detected if omitted) | compound | | analysismode | No | compound-to-disease, disease-to-compound, target-centric, bidirectional (default) | bidirectional |
Construct and analyze compound-target-disease networks for drug repurposing, polypharmacology discovery, and systems pharmacology. Builds multi-layer networks from ChEMBL, OpenTargets, STRING, DrugBank, Reactome, FAERS, and 60+ other ToolUniverse tools. Calculates Network Pharmacology Scores (0-100), identifies repurposing candidates, predicts mechanisms, and analyzes polypharmacology. Use when users ask about drug repurposing via network analysis, multi-target drug effects, compound-target-disease networks, systems pharmacology, or polypharmacology. Source: mims-harvard/tooluniverse.