Skill-Details
chembl-database
Relevant to drug-discovery and cheminformatics data science.
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SKILL.md
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---
name: chembl-database
description: >
Query the ChEMBL database for bioactive molecules, drug targets, bioactivity
data, approved drugs, and chemical structures. Use when the user asks about
compounds, targets, IC50/Ki values, drug mechanisms, or structure searches.
---
# ChEMBL Database Query
## Prerequisites
1. **`uv`**: Read the `uv` skill and follow its Setup instructions to ensure
`uv` is installed and on PATH.
2. **User Notification**: If .licenses/chembl_database_LICENSE.txt does not
already exist in the workspace root directory then (1) prominently notify
the user to check the terms at
https://chembl.gitbook.io/chembl-interface-documentation/about, then (2)
create the file recording the notification text and timestamp.
## Core Rules
- [!IMPORTANT] **Use the Utility Scripts**: You MUST ALWAYS use the provided
utility script `scripts/chembl_api.py` for all ChEMBL API interactions,
including checking status. NEVER use `curl` or custom Python requests to
query the ChEMBL API directly. This ensures rate limit is enfoced and also
retries on network errors.
- **Output to File (Required)**: The `--output` flag is **required** for every
subcommand. All JSON results are written to the specified file. After
running the command, read the output file with jq or your own code to
extract the data. List results are typically wrapped in a JSON array keyed
by the endpoint name (e.g., `molecules`, `activities`).
- **Notification**: If this skill is used, ensure this is mentioned in the
output.
## Utility Script
All ChEMBL API queries use one script with subcommands:
```bash
uv run scripts/chembl_api.py <subcommand> --output <file> [options]
```
--------------------------------------------------------------------------------
### 1. Check API Status
```bash
uv run scripts/chembl_api.py status --output /tmp/status.json
```
--------------------------------------------------------------------------------
### 2. Molecule Queries
**Fetch by ChEMBL ID:** `bash uv run scripts/chembl_api.py molecule --id
CHEMBL25 --output /tmp/mol.json`
**Search by name:** `bash uv run scripts/chembl_api.py molecule --search
"aspirin" --limit 3 --output /tmp/mol_search.json`
**Batch fetch:** `bash uv run scripts/chembl_api.py molecule --ids
"CHEMBL25;CHEMBL1642" --limit 10 --output /tmp/mol_batch.json`
**Filter by properties:** `bash uv run scripts/chembl_api.py molecule --filter
molecule_properties__mw_freebase__lte=500 --limit 5 --output
/tmp/mol_filter.json`
**Filter by range:** `bash uv run scripts/chembl_api.py molecule --filter
molecule_properties__mw_freebase__range=150,200 --limit 5 --output
/tmp/mol_range.json`
**Download SDF structure file:** `bash uv run scripts/chembl_api.py molecule
--id CHEMBL25 --dl_format sdf --output /tmp/aspirin.sdf`
> **Tip**: SDF/MOL files can be passed directly to tools like PyMOL or RDKit for
> 3D visualization and analysis.
--------------------------------------------------------------------------------
### 3. Target Queries
**Search for targets:** `bash uv run scripts/chembl_api.py target --search
"EGFR" --limit 5 --output /tmp/targets.json`
**Fetch by ID:** `bash uv run scripts/chembl_api.py target --id CHEMBL203
--output /tmp/egfr.json`
--------------------------------------------------------------------------------
### 4. Bioactivity Data
**Fetch activity by ID:** `bash uv run scripts/chembl_api.py activity --id 31863
--output /tmp/act.json`
**Search activities:** `bash uv run scripts/chembl_api.py activity --search
"EGFR" --limit 5 --output /tmp/act_search.json`
**Filter activities for a target:** `bash uv run scripts/chembl_api.py activity
--filter target_chembl_id=CHEMBL203 standard_type=IC50 --limit 10 --output
/tmp/egfr_ic50.json`
**Normalize bioactivity units to nM:** `bash uv run scripts/chembl_api.py
activity --filter target_chembl_id=CHEMBL203 standard_type=IC50 --limit 5
--normalize --output /tmp/egfr_normalVollständige Quelle auf GitHub lesen (öffnet externe Seite)