drug-db-pubchem
learningmatter-mit/AtomisticSkills/.agents/skills/drug-db-pubchem/SKILL.md
Query PubChem via PUG-REST to retrieve CIDs, computed properties, synonyms, and 2D/3D SDF structures.
Skill172 starsChanged 4 months ago
What's in it
- PubChem Database Query
- Goal
- Instructions
- 1. Search by Compound Name
- 2. Search by SMILES
- 3. Search by CID
- 4. Search by InChI or InChIKey
- 5. Search by Molecular Formula
- 6. Download SDF Structures (2D/3D)
- 7. Disable Synonyms
- Examples
- Constraints
--- name: drug-db-pubchem description: Query PubChem via PUG-REST to retrieve CIDs, computed properties, synonyms, and 2D/3D SDF structures. category: [drug-discovery] --- # PubChem Database Query ## Goal To programmatically query the PubChem Compound database using the PUG-REST API and retrieve: - PubChem Compound IDs (CIDs) from names, SMILES, InChI, InChIKey, or molecular formulas, - computed molecular properties (e.g., molecular weight, XLogP, TPSA, HBD/HBA), - optional synonyms (names/identifiers), - optional structure files (SDF), preferring 3D records when available. This skill is designed for reproducible, rate-limited queries suitable for automation workflows. ## Instructions ### 1. Search by Compound Name Look up a compound by its common name. Use `--name_type complete` (default) for exact match or `--name_type word` for partial matching. ```bash # Env: base-agent python .agents/skills/drug-db-pubchem/scripts/query_pubchem.py \ --name "aspirin" \ --name_type complete \ --max_results 5 \ --outdir research/pubchem/aspirin \ --output aspirin.json ``` For partial name matching (can be noisier): ```bash # Env: base-agent python .agents/skills/drug-db-pubchem/scripts/query_pubchem.py \ --name "atorvastatin" \ --name_type word \ --max_results 10 \ --outdir research/pubchem/atorvastatin \ --output atorvastatin_word.json ``` ### 2. Search by SMILES SMILES may contain characters reserved by URL syntax; this script uses HTTP POST to avoid common failures. ```bash # Env: base-agent python .agents/skills/drug-db-pubchem/scripts/query_pubchem.py \ --smiles "CC(=O)Oc1ccccc1C(=O)O" \ --max_results 5 \ --outdir research/pubchem/aspirin_smiles \ --output aspirin_smiles.json ``` ### 3. Search by CID Most unambiguous lookup method. ```bash # Env: base-agent python .agents/skills/drug-db-pubchem/scripts/query_pubchem.py \ --cid 2244 \ --outdir research/pubchem/CID_2244 \ --output cid_2244.json ``` ### 4. Search by InChI or InChIKey InChI uses HTTP POST (like SMILES) to avoid URL syntax issues. ```bash # Env: base-agent python .agents/skills/drug-db-pubchem/scripts/query_pubchem.py \ --inchikey "BSYNRYMUTXBXSQ-UHFFFAOYSA-N" \ --outdir research/pubchem/aspirin_inchikey \ --output aspirin_inchikey.json ``` ### 5. Search by Molecular Formula Uses `fastformula` for synchronous molecular formula search. Optionally allow additional elements for broader results. ```bash # Env: base-agent python .agents/skills/drug-db-pubchem/scripts/query_pubchem.py \ --formula "C9H8O4" \ --max_results 10 \ --outdir research/pubchem/C9H8O4 \ --output formula_results.json ``` Allow other elements (broader search): ```bash # Env: base-agent python .agents/skills/drug-db-pubchem/scripts/query_pubchem.py \ --formula "C6H12O6" \ --allow_other_elements \ --max_results 10 \ --outdir research/pubchem/C6H12O6_allow_other \ --output formula_allow_other.json ``` ### 6. Download SDF Structures (2D/3D) PubChem 3D records are computationally generated and may be unavailable for some CIDs; the script falls back to 2D by default. ```bash # Env: base-agent python .agents/skills/drug-db-pubchem/scripts/query_pubchem.py \ --name "ibuprofen" \ --download_sdf \ --sdf_record_type 3d \ --outdir research/pubchem/ibuprofen \ --output ibuprofen.json ``` ### 7. Disable Synonyms Synonyms require extra API calls; disable them for high-throughput workflows. ```bash # Env: base-agent python .agents/skills/drug-db-pubchem/scripts/query_pubchem.py \ --cid 2244 \ --no_synonyms \ --outdir research/pubchem/CID_2244_minimal \ --output cid_2244_minimal.json ``` ## Examples Caffeine (download 3D SDF if available): ```bash # Env: base-agent python .agents/skills/drug-db-pubchem/scripts/query_pubchem.py \ --name "caffeine" \ --download_sdf \ --sdf_record_type 3d \ --outdir research/pubchem/caffeine \ --output caffeine.json ``` ## Constraints - **Rate Limiting**: PubChem enforces per-user limits (~5 requests/sec, plus per-minute limits). Exceeding limits triggers HTTP 503 responses. The script rate-limits via a sliding window and retries with exponential backoff. It also adapts to PubChem's dynamic throttling feedback via the `X-Throttling-Control` header. - **Request Time Limit**: PUG-REST is intended for short synchronous requests (server timeouts ~30 seconds). Keep `--max_results` small for interactive use. - **3D Structures**: PubChem 3D SDF records are computed (not necessarily experimental) and may not exist for all compounds; the script falls back to 2D when needed. - **Synonyms**: Synonyms may be numerous and are optional; disable them with `--no_synonyms` for high-throughput workflows. - **Environment**: Requires `base-agent` conda environment. - **Dependencies**: Standard library only (`urllib`, `json`, `argparse`). --- --- **Author:** Matthew Cox **Contact:** [GitHub @mcox3406](https://github.com/mcox3406)
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