TTD
Query the Therapeutic Target Database (TTD) for drug-target-disease interaction data. Use this skill when the user asks about therapeutic targets, drugs, diseases, or their relationships — including target-drug mappings, clinical status of drugs, disease indications, UniProt/gene associations, and pathway annotations. Triggers on queries like "what drugs target EGFR", "which diseases is Imatinib used for", "find targets for lung cancer", or any lookup involving TTD IDs, gene symbols, drug names, or disease names.
npx skills add BioTender-max/awesome-bio-agent-skills --skill ttd --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# TTD — Therapeutic Target Database **Source:** https://ttd.idrblab.cn/ **Paper:** https://academic.oup.com/nar/article/52/D1/D1465/7275004 **Data dir:** `resources_metadata/dti/TTD` ## Data files (4 required) | File | Content | |------|---------| | `P1-01-TTD_target_download.txt` | Target info: name, UniProt, gene, type, function, disease indication, pathway | | `P2-01-TTD_target_drug.txt` | Target ↔ Drug links with clinical status (Approved / Phase I–III / Experimental) | | `P1-06-Target_disease.txt` | Target ↔ Disease associations | | `P1-07-Drug_disease.txt` | Drug ↔ Disease associations | **File formats:** - `P1-01`, `P2-01` — block format: blank-line separated records, each line `<ID>\t<KEY>\t<VALUE>` - `P1-06`, `P1-07` — TSV with header row --- ## Query API ### `query(entities, entity_type="auto", data_dir=DATA_DIR)` Returns a **list of dicts**, one per queried entity. | Parameter | Type | Description | |-----------|------|-------------| | `entities` | `str` or `list[str]` | One or more entity names / IDs | | `entity_type` | `"auto"` / `"target"` / `"drug"` / `"disease"` | Restrict search; `"auto"` tries target → drug → disease | | `data_dir` | `str` | Path to TTD data direc
- Data files (4 required)
- Query API
- query(entities, entitytype="auto", datadir=DATADIR)
- queryjson(entities, ...) → str
- Input formats accepted
- Output structure
- Target result
- Drug result
- Disease result
- Not found
- Usage examples
- Notes
python 17_TTD.py EGFR Imatinib "Lung cancer" python 17_TTD.py TTDTARGET00001
What does the TTD skill do?
Query the Therapeutic Target Database (TTD) for drug-target-disease interaction data. Use this skill when the user asks about therapeutic targets, drugs, diseases, or their relationships — including target-drug mappings, clinical status of drugs, disease indications, UniProt/gene associations, and pathway annotations. Triggers on queries like "what drugs target EGFR", "which diseases is Imatinib used for", "find targets for lung cancer", or any lookup involving TTD IDs, gene symbols, drug names, or disease names.
How do I install it?
Run `npx skills add BioTender-max/awesome-bio-agent-skills --skill ttd --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From BioTender-max/awesome-bio-agent-skills, a repository with 135 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.