Retrieves target, drug, and disease relationships from local TTD flat files.
npx skills add https://github.com/QSong-github/DrugClaw --skill ttd
Please help me install this Agent Skill. Skill: TTD Source: https://github.com/QSong-github/DrugClaw/tree/main/skills/dti/ttd Command: npx skills add https://github.com/QSong-github/DrugClaw --skill ttd
TTDSkill provides rapid access to therapeutic target data by mapping drugs to targets and disease associations from the Therapeutic Target Database (TTD), enabling researchers to reason with evidence-backed relationships without manual data wrangling.
Query TTDSkill with a drug name, target, or disease to fetch linked targets, drugs, and disease associations from your local TTD dataset.
High-intent search queries and answers about installing and using this skill.
To retrieve drug-target relationships with clinical status from the Therapeutic Target Database, you can query a local dataset of TTD flat files to fetch structured target and drug links without manual data engineering.
Finding diseases linked to specific drug targets for pharmacology research involves querying local TTD flat files to retrieve disease associations and their connected drug metadata for evidence-backed insights.
Yes, you can look up drug repurposing opportunities using a local dataset without manual data wrangling by querying pre-downloaded TTD flat files that map target, drug, disease, and clinical status.
TTD data retrieval does provide evidence-ready outputs for downstream analysis by returning a structured retrieval schema that includes target, drug, disease, status, and evidence-ready metadata.
You query drug-target-disease relationships by supplying a drug name, target, or disease as input to fetch linked targets, drugs, and disease associations from your local TTD dataset.
Limitations of using local flat files for therapeutic target data retrieval include relying on a simple index and pre-downloaded static data, which means you must manage local data updates manually to stay current.
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