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Chemistry Query

Chemistry agent skill for PubChem API queries (compound info/properties, structures/SMILES/images, s

Rating: 4.2 (480 reviews)
Downloads: 19,348 downloads
Version: 1.0.0

Overview

Chemistry agent skill for PubChem API queries (compound info/properties, structures/SMILES/images, synthesis.

Complete Documentation

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Chemistry Query Agent v1.4.0

Overview

Full-stack chemistry toolkit combining PubChem data retrieval with RDKit molecule processing, visualization, analysis, retrosynthesis, and synthesis planning. All outputs are structured JSON for easy downstream chaining. Generates PNG/SVG images on demand.

Key capabilities:

PubChem compound lookup (info, structure, synthesis refs, similarity search)
RDKit molecular properties (MW, logP, TPSA, HBD/HBA, rotatable bonds, aromatic rings)
2D molecule visualization (PNG/SVG)
BRICS retrosynthesis with recursive depth control
Multi-step synthesis route planning
Forward reaction simulation with SMARTS templates
Morgan fingerprints and similarity/substructure search
21 named reaction templates (Suzuki, Heck, Grignard, Wittig, Diels-Alder, etc.)

Quick Start

bash

# PubChem compound info
exec python scripts/query_pubchem.py --compound "aspirin" --type info

# Molecular properties from SMILES
exec python scripts/rdkit_mol.py --smiles "CC(=O)Oc1ccccc1C(=O)O" --action props

# Retrosynthesis
exec python scripts/rdkit_mol.py --target "CC(=O)Oc1ccccc1C(=O)O" --action retro --depth 2

# Full chain (name → props + draw + retro)
exec python scripts/chain_entry.py --input-json '{"name": "caffeine", "context": "user"}'

Scripts

`scripts/query_pubchem.py`

PubChem REST API queries with automatic name→CID resolution and timeout handling.

text

--compound <name|CID> --type <info|structure|synthesis|similar> [--format smiles|inchi|image|json] [--threshold 80]

info: Formula, MW, IUPAC name, InChIKey (JSON)
structure: SMILES, InChI, image URL, or full JSON
synthesis: Synonyms/references for a compound
similar: Similar compounds by 2D fingerprint (top 20)

`scripts/rdkit_mol.py`

RDKit cheminformatics engine. Resolves names via PubChem automatically.

text

--smiles <SMILES> --action <props|draw|fingerprint|similarity|substruct|xyz|react|retro|plan>

Action	Description	Key Args
props	MW, logP, TPSA, HBD, HBA, rotB, aromRings	--smiles
draw	2D PNG/SVG (300×300)	`--smiles --output file.png --format png\`	svg
retro	BRICS recursive retrosynthesis	`--target`	name> --depth N
plan	Multi-step retro route	`--target`	name> --steps N
react	Forward reaction via SMARTS	--reactants "smi1 smi2" --smarts ""
fingerprint	Morgan fingerprint bitvector	--smiles --radius 2
similarity	Tanimoto similarity scoring	--query_smiles --target_smiles "smi1,smi2"
substruct	Substructure matching	--query_smiles --target_smiles "smi1,smi2"
xyz	3D coordinates (MMFF optimized)	--smiles

`scripts/chain_entry.py`

Standard agent chain interface. Accepts {"smiles": "...", "context": "..."} or {"name": "...", "context": "..."}. Returns unified JSON with props, visualization, and retrosynthesis.

bash

python scripts/chain_entry.py --input-json '{"name": "sotorasib", "context": "user"}'

Output schema:

json

{
  "agent": "chemistry-query",
  "version": "1.4.0",
  "smiles": "<canonical>",
  "status": "success|error",
  "report": {"props": {...}, "draw": {...}, "retro": {...}},
  "risks": [],
  "viz": ["path/to/image.png"],
  "recommend_next": ["pharmacology", "toxicology"],
  "confidence": 0.95,
  "warnings": [],
  "timestamp": "ISO8601"
}

`scripts/templates.json`

21 named reaction templates with SMARTS, expected yields, conditions, and references. Includes: Suzuki, Heck, Buchwald-Hartwig, Grignard, Wittig, Diels-Alder, Click, Sonogashira, Negishi, and more.

Chaining

Name → Full Profile: chain_entry.py with {"name": "ibuprofen"} → props + draw + retro
Chemistry → Pharmacology: Output feeds directly into pharma-pharmacology-agent
Retro + Viz: Get precursors, then draw each one
Suzuki Test: --action react --reactants "c1ccccc1Br c1ccccc1B(O)O" --smarts "[c:1][Br:2].[c:3]B(O)O>>[c:1][c:3]"

Tested With

All features verified end-to-end with RDKit 2024.03+:

Molecule	SMILES	Tests Passed
Caffeine	CN1C=NC2=C1C(=O)N(C(=O)N2C)C	info, structure, props, draw, retro, plan, chain
Aspirin	CC(=O)Oc1ccccc1C(=O)O	info, structure, props, draw, retro, plan, chain
Sotorasib	PubChem name lookup	info, structure, props, draw, retro, chain
Ibuprofen	PubChem name lookup	info, structure, props, chain
Invalid SMILES	XXXINVALID	Graceful JSON error
Empty input	{}	Graceful JSON error

Resources

references/api_endpoints.md — PubChem API endpoint reference and rate limits
scripts/rdkit_reaction.py — Legacy reaction module
scripts/chembl_query.py, scripts/pubmed_search.py, scripts/admet_predict.py — Additional query modules

Changelog

v1.4.0 (2026-02-14)

Fixed PubChem SMILES/InChI endpoint (property/CanonicalSMILES/TXT)
Fixed chain_entry.py HTML entity corruption
Fixed brics_retro to handle BRICSDecompose string output correctly
Added request timeouts (15s) to all PubChem calls
Graceful error handling for invalid SMILES and empty input
Updated chain output version and schema
Comprehensive end-to-end testing

v1.3.0

RDKit props NoneType fixes, invalid SMILES graceful errors
React fix: ReactionFromSmarts import
Name resolution via PubChem for all RDKit actions

v1.2.0

BRICS retrosynthesis + 21 reaction templates library
Multi-step synthesis planning

Installation

Terminal bash


openclaw install chemistry-query

Copied!

💻Code Examples

exec python scripts/chain_entry.py --input-json '{"name": "caffeine", "context": "user"}'

exec-python-scriptschainentrypy---input-json-name-caffeine-context-user.txt

## Scripts

### `scripts/query_pubchem.py`
PubChem REST API queries with automatic name→CID resolution and timeout handling.

--compound <name|CID> --type <info|structure|synthesis|similar> [--format smiles|inchi|image|json] [--threshold 80]

--compound-namecid---type-infostructuresynthesissimilar---format-smilesinchiimagejson---threshold-80.txt

- **info:** Formula, MW, IUPAC name, InChIKey (JSON)
- **structure:** SMILES, InChI, image URL, or full JSON
- **synthesis:** Synonyms/references for a compound
- **similar:** Similar compounds by 2D fingerprint (top 20)

### `scripts/rdkit_mol.py`
RDKit cheminformatics engine. Resolves names via PubChem automatically.

--smiles <SMILES> --action <props|draw|fingerprint|similarity|substruct|xyz|react|retro|plan>

--smiles-smiles---action-propsdrawfingerprintsimilaritysubstructxyzreactretroplan.txt

| Action | Description | Key Args |
|--------|-------------|----------|
| props | MW, logP, TPSA, HBD, HBA, rotB, aromRings | `--smiles` |
| draw | 2D PNG/SVG (300×300) | `--smiles --output file.png --format png\|svg` |
| retro | BRICS recursive retrosynthesis | `--target <SMILES\|name> --depth N` |
| plan | Multi-step retro route | `--target <SMILES\|name> --steps N` |
| react | Forward reaction via SMARTS | `--reactants "smi1 smi2" --smarts "<SMARTS>"` |
| fingerprint | Morgan fingerprint bitvector | `--smiles --radius 2` |
| similarity | Tanimoto similarity scoring | `--query_smiles --target_smiles "smi1,smi2"` |
| substruct | Substructure matching | `--query_smiles --target_smiles "smi1,smi2"` |
| xyz | 3D coordinates (MMFF optimized) | `--smiles` |

### `scripts/chain_entry.py`
Standard agent chain interface. Accepts `{"smiles": "...", "context": "..."}` or `{"name": "...", "context": "..."}`. Returns unified JSON with props, visualization, and retrosynthesis.

example.sh

# PubChem compound info
exec python scripts/query_pubchem.py --compound "aspirin" --type info

# Molecular properties from SMILES
exec python scripts/rdkit_mol.py --smiles "CC(=O)Oc1ccccc1C(=O)O" --action props

# Retrosynthesis
exec python scripts/rdkit_mol.py --target "CC(=O)Oc1ccccc1C(=O)O" --action retro --depth 2

# Full chain (name → props + draw + retro)
exec python scripts/chain_entry.py --input-json '{"name": "caffeine", "context": "user"}'

example.json

{
  "agent": "chemistry-query",
  "version": "1.4.0",
  "smiles": "<canonical>",
  "status": "success|error",
  "report": {"props": {...}, "draw": {...}, "retro": {...}},
  "risks": [],
  "viz": ["path/to/image.png"],
  "recommend_next": ["pharmacology", "toxicology"],
  "confidence": 0.95,
  "warnings": [],
  "timestamp": "ISO8601"
}