Chemical Compound Information Retrieval
SkillDev toolsLets your agent look up chemical compound data from PubChem and ChEMBL, resolving names to structures and IDs.
Then ask your AI: use the Chemical Compound Information Retrieval skill
Details
Instructions available. Your AI can read the instructions. Execution depends on the setup they require.
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About this skill
Retrieve chemical compound data from PubChem and ChEMBL with disambiguation, cross-referencing, and stereochemistry handling. Use for resolving compound names to SMILES/InChI/CID/ChEMBL IDs (including OPSIN deterministic IUPAC-name-to-structure parsing), fetching molecular properties, distinguishing
What this skill tells your AI
The instructions your AI receives, as published by mims-harvard/tooluniverse in skills/tooluniverse-chemical-compound-retrieval/SKILL.md and read by Ahel’s review.
Retrieve comprehensive chemical compound data with proper disambiguation and cross-database validation.
LOOK UP DON'T GUESS: Never assume a CID, ChEMBL ID, or molecular property value. Always retrieve from PubChem/ChEMBL.
English-first: Always use English compound names in tool calls. Respond in user's language.
Domain Reasoning: Disambiguation
"Aspirin" = one compound. "Vitamin D" = multiple forms (D2/D3/active metabolite). For generic class names (steroids, vitamins, acids), present candidates and confirm before proceeding.
Workflow
Phase 0: Clarify (only if highly ambiguous -- skip for unambiguous names or specific IDs)
Phase 1: Disambiguate → resolve PubChem CID + ChEMBL ID
Phase 2: Retrieve data (silent)
Phase 3: Report compound profile
Phase 1: Disambiguation
# By name
result = tu.tools.PubChem_get_CID_by_compound_name(compound_name=name)
# By SYSTEMATIC (IUPAC) name -> structure, deterministic parser (no DB lookup)
opsin = tu.tools.OPSIN_name_to_structure(name="2-acetoxybenzoic acid")
# Returns {parsed, smiles, inchi, inchikey}; use the SMILES/InChIKey to anchor a
# PubChem_get_CID_by_SMILES lookup. Trade/trivial names give parsed=false -> fall
# back to PubChem_get_CID_by_compound_name for those.
# By SMILES
result = tu.tools.PubChem_get_CID_by_SMILES(smiles=smiles)
# Cross-reference
chembl_result = tu.tools.ChEMBL_search_molecules(query=name, limit=5)
Verify: CID + ChEMBL ID + canonical SMILES + stereochemistry + salt forms.
Phase 2: Data Retrieval
PubChem: PubChem_get_compound_properties_by_CID, PubChemBioAssay_get_assay_summary, PubChemTox_get_acute_effects, PubChem_get_compound_2D_image_by_CID
ChEMBL: ChEMBL_get_compound_record_activities, ChEMBL_get_molecule_targets, ChEMBL_get_assay_activities
Optional: PubChem_get_associated_patents_by_CID, PubChem_search_compounds_by_similarity
Phase 3: Report
Compound Profile with: Identity (CID, ChEMBL ID, IUPAC, SMILES), Chemical Properties (MW, LogP, HBD, HBA, PSA, Lipinski), Bioactivity (targets, IC50/Ki), Drug Info (if approved), Data Sources.
Fallback Chains
| Primary | Fallback |
|---|---|
| PubChem name lookup (systematic name) | OPSIN_name_to_structure → SMILES/InChIKey → PubChem_get_CID_by_SMILES |
| PubChem name lookup | ChEMBL search → SMILES → PubChem_get_CID_by_SMILES |
| ChEMBL bioactivity | PubChem bioassay summary |
| Drug label | Note "unavailable" |
Evidence Grading
| Grade | Criteria |
|---|---|
| Confirmed | CID + ChEMBL cross-match, InChI/SMILES agree |
| Probable | CID found, partial ChEMBL match |
| Uncertain | Single database only, or multiple CIDs |
| Unverified | No cross-reference, single-source |
Bioactivity: ChEMBL > PubChem BioAssay for curated data. IC50/Ki < 100nM = potent, 100nM-1uM = moderate, >10uM = weak. Lipinski violations reduce oral bioavailability but don't disqualify.
SMILES Verification
Always verify novel SMILES: python3 src/tooluniverse/tools/smiles_verifier.py --smiles "SMILES_STRING". Invalid SMILES produce wrong results or cryptic errors.
Identifier Resolution and Cross-Database Referencing
Beyond PubChem/ChEMBL, two more tools resolve identifiers when a name doesn't hit in PubChem or you need cross-references across other chemical databases:
NCICACTUS_resolve(NCI CACTUS resolver) — converts between chemical names (IUPAC or common), SMILES, InChI, InChIKey, CAS number, and molecular formula. Verified live:NCICACTUS_resolve(identifier="ibuprofen", representation="smiles")→CC(C)Cc1ccc(cc1)C(C)C(O)=O; also resolves a CAS number ("50-78-2") straight to an IUPAC name ("2-acetyloxybenzoic acid", i.e. aspirin) or an InChIKey to a formula. Useful as a second name-resolution path alongsideOPSIN_name_to_structureandPubChem_get_CID_by_compound_name— CACTUS handles CAS numbers and trivial names OPSIN can't parse.UniChem_search_compound/UniChem_connectivity_search— given an InChIKey (or a source-database compound ID), returns cross-references across UniChem's 25+ registered source databases (ChEMBL, DrugBank, PubChem, Wikipedia, ChEBI, etc. — verified live viaUniChem_list_sources).connectivity_searchadditionally finds compounds sharing the same connectivity layer (same skeleton, different stereochemistry/salt/isotope) — use this when you want "the same molecule under any name/form" rather than an exact match. Verified live on aspirin's InChIKey (BSYNRYMUTXBXSQ-UHFFFAOYSA-N): both returned real cross-database records including a Wikipedia link.
Chained identifier workflow (real values): NCICACTUS_resolve(identifier="aspirin", representation="smiles")
→ CC(=O)Oc1ccccc1C(O)=O → resolve the same identifier with representation="stdinchikey"
→ real result "InChIKey=BSYNRYMUTXBXSQ-UHFFFAOYSA-N" (note the InChIKey= prefix —
verified live; strip it before passing the bare key to another tool) → feed the
bare BSYNRYMUTXBXSQ-UHFFFAOYSA-N into UniChem_search_compound for cross-database
IDs → PubChem_get_CID_by_SMILES to re-anchor in PubChem if needed.
Cheminformatics Calculations and Structure Visualization
For calculations and rendering beyond property lookup:
RDKit_pharmacophore_features— extracts pharmacophore feature centers (HBD, HBA, aromatic, hydrophobic, etc.) from a SMILES via SMARTS matching. Verified live on aspirin (CC(=O)Oc1ccccc1C(=O)O): 1 HBD with atom index, method documented as"SMARTS-based pharmacophore features".RDKit_matched_molecular_pair— given two SMILES, finds the single-cut MMP transformation between them (Hussain-Rea algorithm) plus their Tanimoto similarity — useful for "what single substitution turns compound A into compound B" (SAR analysis).visualize_molecule_2d— renders a 2D structure (from SMILES, InChI, or a molecule name) to PNG/SVG/interactive HTML. Verified live: returns an embedded HTML visualization on success.visualize_molecule_3d— renders a 3D structure via RDKit + py3Dmol. Requirespy3Dmolinstalled — verified live that without it, the tool returns a clean{"status": "error", ...: "py3Dmol is not installed. Please install it with: pip install py3Dmol"}rather than crashing; check for this before assuming a visualization request has failed for another reason.
Tool Reference
PubChem: PubChem_get_CID_by_compound_name, PubChem_get_CID_by_SMILES, PubChem_get_compound_properties_by_CID, PubChem_get_compound_2D_image_by_CID, PubChemBioAssay_get_assay_summary, PubChemTox_get_acute_effects, PubChem_get_associated_patents_by_CID, PubChem_search_compounds_by_similarity, PubChem_search_compounds_by_substructure
ChEMBL: ChEMBL_search_drugs, ChEMBL_get_molecule, ChEMBL_get_activity, ChEMBL_get_target, ChEMBL_search_targets, ChEMBL_search_assays
Name parsing: OPSIN_name_to_structure (param name) — deterministic IUPAC/systematic-name → SMILES/InChI/InChIKey parser; the go-to for resolving a systematic name to structure without a DB round-trip. Trade/trivial names return parsed=false (use PubChem name lookup for those).
Identifier resolution & cross-referencing: NCICACTUS_resolve, UniChem_search_compound, UniChem_connectivity_search, UniChem_list_sources
Cheminformatics & visualization: RDKit_pharmacophore_features, RDKit_matched_molecular_pair, visualize_molecule_2d, visualize_molecule_3d
Signals
- GitHub stars
- 2k
- Forks
- 261
- Last commit
- Oct 2026
Ahel review
K1binfo
installs-packages
Automated review, not a security audit. Ruleset v1+k2.
Advanced
- Item type
- skill
- Key
tooluniverse-chemical-compound-retrieval-mims-harvard- Source
- github.com/mims-harvard/tooluniverse
github.com/mims-harvard/tooluniverse
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